From 76bd1442cc4ef95f56660924945c131c877f013e Mon Sep 17 00:00:00 2001
From: szego <antonio@getrecast.com>
Date: Fri, 26 Jun 2026 14:10:17 -0700
Subject: [PATCH 1/4] scale sigma prior to data

---
 causalpy/experiments/synthetic_control.py | 27 +++++++++++++++++++++++
 1 file changed, 27 insertions(+)

diff --git a/causalpy/experiments/synthetic_control.py b/causalpy/experiments/synthetic_control.py
index 06012405b..b687da153 100644
--- a/causalpy/experiments/synthetic_control.py
+++ b/causalpy/experiments/synthetic_control.py
@@ -21,6 +21,7 @@
 import pandas as pd
 import xarray as xr
 from matplotlib import pyplot as plt
+from pymc_extras.prior import Prior
 from sklearn.base import RegressorMixin
 
 from causalpy.constants import HDI_PROB, LEGEND_FONT_SIZE
@@ -55,6 +56,14 @@ class SyntheticControl(BaseExperiment):
         treated unit in the pre-treatment period. Control units below this
         threshold trigger a ``UserWarning``. Defaults to ``0.0`` (warn on
         negatively correlated donors).
+    auto_scale_sigma : bool, default True
+        If ``True`` (default) and the model is a ``WeightedSumFitter`` whose
+        ``y_hat`` prior has not been explicitly overridden, the
+        ``sigma ~ HalfNormal(1)`` default prior is replaced by
+        ``sigma ~ Exponential(2/s)`` where *s* is the standard deviation of the
+        pre-treatment treated-unit data. This keeps the prior well-calibrated
+        regardless of the outcome's scale. Set to ``False`` to use the original
+        ``HalfNormal(1)`` default.
     **kwargs
         Additional keyword arguments forwarded to :class:`BaseExperiment`.
 
@@ -105,6 +114,7 @@ def __init__(
         treated_units: list[str],
         model: PyMCModel | RegressorMixin | None = None,
         min_donor_correlation: float = 0.0,
+        auto_scale_sigma: bool = True,
         **kwargs: Any,
     ) -> None:
         super().__init__(model=model)
@@ -116,6 +126,7 @@ def __init__(
         self.control_units = control_units
         self.labels = control_units
         self.treated_units = treated_units
+        self.auto_scale_sigma = auto_scale_sigma
         if self._model_backend.is_ols and len(treated_units) > 1:
             raise ValueError(
                 "OLS/sklearn synthetic control supports only a single treated "
@@ -282,6 +293,22 @@ def _prepare_data(self) -> None:
 
     def algorithm(self) -> None:
         """Run the experiment algorithm: fit model, predict, and calculate causal impact."""
+        # Auto-scale the sigma prior if the user didn't customize it
+        if (
+            self.auto_scale_sigma
+            and isinstance(self.model, WeightedSumFitter)
+            and (
+                self.model._user_priors is None
+                or "y_hat" not in self.model._user_priors
+            )
+        ):
+            y_std = float(self.pre_design["treated"].std(dim="obs_ind", ddof=1).mean())
+            self.model.priors["y_hat"] = Prior(
+                "Normal",
+                sigma=Prior("Exponential", lam=2 / y_std, dims=["treated_units"]),
+                dims=["obs_ind", "treated_units"],
+            )
+
         # fit the model to the observed (pre-intervention) data
         self._model_backend.fit(
             X=self.pre_design["control"],

From 1598ade5d83feb8ee6ce1515010512fef418263c Mon Sep 17 00:00:00 2001
From: szego <antonio@getrecast.com>
Date: Fri, 26 Jun 2026 14:10:34 -0700
Subject: [PATCH 2/4] run synth control notebooks

---
 docs/source/notebooks/geolift1.ipynb       |  4088 +-
 docs/source/notebooks/sc_pymc.ipynb        |  2512 +-
 docs/source/notebooks/sc_pymc_brexit.ipynb | 59348 ++++++++++++++++---
 3 files changed, 57656 insertions(+), 8292 deletions(-)

diff --git a/docs/source/notebooks/geolift1.ipynb b/docs/source/notebooks/geolift1.ipynb
index 800aa45c5..175e6d26a 100644
--- a/docs/source/notebooks/geolift1.ipynb
+++ b/docs/source/notebooks/geolift1.ipynb
@@ -1,1226 +1,2934 @@
 {
-  "cells": [
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "# Bayesian geolift with CausalPy\n",
-        "\n",
-        "This notebook covers how to use `CausalPy`'s Bayesian {term}`synthetic control` functionality to assess 'geolift'. Our hypothetical scenario is:\n",
-        "\n",
-        "> We are a data scientist within a company that operates over Europe. We have been given a historical dataset of sales volumes, in units of 1000's. The data is broken down by country and was collected at weekly frequency. We have data for the past 4 years. \n",
-        "\n",
-        "> At the start of 2022, the marketing department decided to refurbish all the stores in Denmark. Now, at the end of 2022, the company wants you to assess whether this refurbishment programme increased sales. If you tell them that the store refurbishment scheme increased sales volumes then they will roll out the scheme to other countries. Nobody said this, but in the back of your mind you worry that if you tell them that refurbishments increase sales but that doesn't actually happen in the future, then the companies profits will drop, the value of your shares will decrease, and your job security may be at risk.\n",
-        "\n",
-        "> Your boss is pretty tuned in. She also has these concerns. She knows that while it might be easy to establish an _association_ between the store refurbishments and changes in sales volumes, we really want to know if the store refurbishments _caused_ an increase in sales.\n",
-        "\n",
-        "> We know that the best way to make causal claims is to run a randomized control trial (sometimes known as an [A/B test](https://en.wikipedia.org/wiki/A/B_testing)). If we have randomly assigned stores across Europe (or picked a country) at random, then perhaps an A/B test would do the job. But we did not pick Denmark at random - so we are worried about confounding variables.\n",
-        "\n",
-        "> But we heard about synthetic control methods and a thing called GeoLift. After some research, we decide this is exactly what we want to do. But we are particularly interested in how certain we are in the level of any uplift we detect, so we want to use Bayesian methods and get easy to interpret Bayesian credible intervals. You find a library called `CausalPy` that supports exactly that use case and are delighted.\n",
-        "\n",
-        "Let's go!"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 1,
-      "metadata": {
-        "execution": {
-          "iopub.execute_input": "2026-02-28T22:16:36.431274Z",
-          "iopub.status.busy": "2026-02-28T22:16:36.431064Z",
-          "iopub.status.idle": "2026-02-28T22:16:38.796826Z",
-          "shell.execute_reply": "2026-02-28T22:16:38.796349Z"
-        }
-      },
-      "outputs": [],
-      "source": [
-        "import arviz as az\n",
-        "import pandas as pd\n",
-        "\n",
-        "import causalpy as cp"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 2,
-      "metadata": {
-        "execution": {
-          "iopub.execute_input": "2026-02-28T22:16:38.798291Z",
-          "iopub.status.busy": "2026-02-28T22:16:38.798124Z",
-          "iopub.status.idle": "2026-02-28T22:16:38.833902Z",
-          "shell.execute_reply": "2026-02-28T22:16:38.833531Z"
-        }
-      },
-      "outputs": [],
-      "source": [
-        "%load_ext autoreload\n",
-        "%autoreload 2\n",
-        "%config InlineBackend.figure_format = 'retina'\n",
-        "pd.set_option(\"display.precision\", 2)\n",
-        "seed = 42"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "## Load the dataset\n",
-        "\n",
-        "`CausalPy` includes an example (simulated) dataset suitable to explore ideas around geographical lift testing. All we need to do is to load that, get our observation dates set up appropriately in a pandas dataframe, and define the treatment time."
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 3,
-      "metadata": {
-        "execution": {
-          "iopub.execute_input": "2026-02-28T22:16:38.835153Z",
-          "iopub.status.busy": "2026-02-28T22:16:38.835082Z",
-          "iopub.status.idle": "2026-02-28T22:16:38.857102Z",
-          "shell.execute_reply": "2026-02-28T22:16:38.856737Z"
-        }
-      },
-      "outputs": [
-        {
-          "data": {
-            "text/html": [
-              "<div>\n",
-              "<style scoped>\n",
-              "    .dataframe tbody tr th:only-of-type {\n",
-              "        vertical-align: middle;\n",
-              "    }\n",
-              "\n",
-              "    .dataframe tbody tr th {\n",
-              "        vertical-align: top;\n",
-              "    }\n",
-              "\n",
-              "    .dataframe thead th {\n",
-              "        text-align: right;\n",
-              "    }\n",
-              "</style>\n",
-              "<table border=\"1\" class=\"dataframe\">\n",
-              "  <thead>\n",
-              "    <tr style=\"text-align: right;\">\n",
-              "      <th></th>\n",
-              "      <th>Austria</th>\n",
-              "      <th>Belgium</th>\n",
-              "      <th>Bulgaria</th>\n",
-              "      <th>Croatia</th>\n",
-              "      <th>Cyprus</th>\n",
-              "      <th>Czech_Republic</th>\n",
-              "      <th>Estonia</th>\n",
-              "      <th>Finland</th>\n",
-              "      <th>Greece</th>\n",
-              "      <th>Hungary</th>\n",
-              "      <th>Denmark</th>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>time</th>\n",
-              "      <th></th>\n",
-              "      <th></th>\n",
-              "      <th></th>\n",
-              "      <th></th>\n",
-              "      <th></th>\n",
-              "      <th></th>\n",
-              "      <th></th>\n",
-              "      <th></th>\n",
-              "      <th></th>\n",
-              "      <th></th>\n",
-              "      <th></th>\n",
-              "    </tr>\n",
-              "  </thead>\n",
-              "  <tbody>\n",
-              "    <tr>\n",
-              "      <th>2019-01-06</th>\n",
-              "      <td>2.15</td>\n",
-              "      <td>2.50</td>\n",
-              "      <td>1.49</td>\n",
-              "      <td>2.77</td>\n",
-              "      <td>2.00</td>\n",
-              "      <td>2.23</td>\n",
-              "      <td>1.96</td>\n",
-              "      <td>2.82</td>\n",
-              "      <td>5.36</td>\n",
-              "      <td>1.71</td>\n",
-              "      <td>2.39</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>2019-01-13</th>\n",
-              "      <td>2.03</td>\n",
-              "      <td>2.46</td>\n",
-              "      <td>1.44</td>\n",
-              "      <td>2.60</td>\n",
-              "      <td>1.90</td>\n",
-              "      <td>2.22</td>\n",
-              "      <td>1.90</td>\n",
-              "      <td>2.72</td>\n",
-              "      <td>5.47</td>\n",
-              "      <td>1.93</td>\n",
-              "      <td>2.21</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>2019-01-20</th>\n",
-              "      <td>1.99</td>\n",
-              "      <td>2.14</td>\n",
-              "      <td>1.34</td>\n",
-              "      <td>2.71</td>\n",
-              "      <td>1.55</td>\n",
-              "      <td>2.05</td>\n",
-              "      <td>1.67</td>\n",
-              "      <td>2.56</td>\n",
-              "      <td>5.33</td>\n",
-              "      <td>1.86</td>\n",
-              "      <td>2.18</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>2019-01-27</th>\n",
-              "      <td>1.85</td>\n",
-              "      <td>2.04</td>\n",
-              "      <td>1.34</td>\n",
-              "      <td>2.40</td>\n",
-              "      <td>1.71</td>\n",
-              "      <td>2.14</td>\n",
-              "      <td>1.62</td>\n",
-              "      <td>2.47</td>\n",
-              "      <td>5.23</td>\n",
-              "      <td>1.83</td>\n",
-              "      <td>1.97</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>2019-02-03</th>\n",
-              "      <td>1.75</td>\n",
-              "      <td>1.78</td>\n",
-              "      <td>1.09</td>\n",
-              "      <td>2.49</td>\n",
-              "      <td>1.45</td>\n",
-              "      <td>2.18</td>\n",
-              "      <td>1.44</td>\n",
-              "      <td>2.41</td>\n",
-              "      <td>5.24</td>\n",
-              "      <td>1.91</td>\n",
-              "      <td>1.92</td>\n",
-              "    </tr>\n",
-              "  </tbody>\n",
-              "</table>\n",
-              "</div>"
-            ],
-            "text/plain": [
-              "            Austria  Belgium  Bulgaria  Croatia  Cyprus  Czech_Republic  \\\n",
-              "time                                                                      \n",
-              "2019-01-06     2.15     2.50      1.49     2.77    2.00            2.23   \n",
-              "2019-01-13     2.03     2.46      1.44     2.60    1.90            2.22   \n",
-              "2019-01-20     1.99     2.14      1.34     2.71    1.55            2.05   \n",
-              "2019-01-27     1.85     2.04      1.34     2.40    1.71            2.14   \n",
-              "2019-02-03     1.75     1.78      1.09     2.49    1.45            2.18   \n",
-              "\n",
-              "            Estonia  Finland  Greece  Hungary  Denmark  \n",
-              "time                                                    \n",
-              "2019-01-06     1.96     2.82    5.36     1.71     2.39  \n",
-              "2019-01-13     1.90     2.72    5.47     1.93     2.21  \n",
-              "2019-01-20     1.67     2.56    5.33     1.86     2.18  \n",
-              "2019-01-27     1.62     2.47    5.23     1.83     1.97  \n",
-              "2019-02-03     1.44     2.41    5.24     1.91     1.92  "
-            ]
-          },
-          "execution_count": 3,
-          "metadata": {},
-          "output_type": "execute_result"
-        }
-      ],
-      "source": [
-        "df = (\n",
-        "    cp.load_data(\"geolift1\")\n",
-        "    .assign(time=lambda x: pd.to_datetime(x[\"time\"]))\n",
-        "    .set_index(\"time\")\n",
-        ")\n",
-        "\n",
-        "treatment_time = pd.to_datetime(\"2022-01-01\")\n",
-        "df.head()"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "In our dataset, columns represent the different European countries that we operate in. We also have an index which labels each row with the date - the observations are weekly in frequency. The values in the table represent the sales volumes and are in units of 1000's. So a value of 2.4 represents 2,400 units sold per week."
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "So let's plot that."
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 4,
-      "metadata": {
-        "execution": {
-          "iopub.execute_input": "2026-02-28T22:16:38.872116Z",
-          "iopub.status.busy": "2026-02-28T22:16:38.872006Z",
-          "iopub.status.idle": "2026-02-28T22:16:39.041147Z",
-          "shell.execute_reply": "2026-02-28T22:16:39.040742Z"
-        }
-      },
-      "outputs": [
-        {
-          "data": {
-            "image/png": "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",
-            "text/plain": [
-              "<Figure size 640x480 with 1 Axes>"
-            ]
-          },
-          "metadata": {
-            "image/png": {
-              "height": 470,
-              "width": 554
-            }
-          },
-          "output_type": "display_data"
-        }
-      ],
-      "source": [
-        "untreated = list(set(df.columns).difference({\"Denmark\"}))\n",
-        "ax = df[untreated].plot(color=[0.7, 0.7, 0.7])\n",
-        "df[\"Denmark\"].plot(color=\"r\", ax=ax)\n",
-        "ax.axvline(treatment_time, color=\"k\", linestyle=\"--\")\n",
-        "ax.set(title=\"Observed data\", ylabel=\"Sales volume (thousands)\");"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "This looks pretty nice, but also disappointing. It is not immediately obvious from a visual inspection that there is a clear change in sales data in Denmark after the stores were refurbished (shown by the dashed line). This is made worse by the presence of annual seasonality in the data (which is different in each country), and the inherent stochasticisty in the weekly sales data."
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "## Pre-experiment diagnostics: market correlations\n",
-        "\n",
-        "Before fitting a model, it is worth checking how similar the candidate control markets are to each other and to the treated market. Markets that move together in the pre-treatment period are more likely to produce a reliable synthetic control -- the weighted combination of controls will more easily replicate the treated unit's trajectory.\n",
-        "\n",
-        "CausalPy provides `plot_correlations()` to visualise the pairwise Pearson correlations between all locations in the panel data. High positive correlations between the treated market and several controls suggest that the control pool can plausibly reconstruct the treated unit's counterfactual."
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 5,
-      "metadata": {
-        "execution": {
-          "iopub.execute_input": "2026-02-28T22:16:39.042490Z",
-          "iopub.status.busy": "2026-02-28T22:16:39.042405Z",
-          "iopub.status.idle": "2026-02-28T22:16:39.204742Z",
-          "shell.execute_reply": "2026-02-28T22:16:39.203947Z"
-        }
-      },
-      "outputs": [
-        {
-          "data": {
-            "image/png": "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",
-            "text/plain": [
-              "<Figure size 640x480 with 2 Axes>"
-            ]
-          },
-          "metadata": {
-            "image/png": {
-              "height": 529,
-              "width": 599
-            }
-          },
-          "output_type": "display_data"
-        }
-      ],
-      "source": [
-        "pre_treatment = df.loc[df.index < treatment_time]\n",
-        "corr, ax = cp.plot_correlations(pre_treatment)\n",
-        "ax.set(title=\"Pairwise correlation of pre-treatment sales\");"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "The heatmap reveals that most countries are strongly positively correlated with Denmark, but two countries -- Greece and Hungary -- are **negatively correlated** with the treated unit. This is a sign that those markets are driven by different underlying factors and would be poor donors for the synthetic control.\n",
-        "\n",
-        "### {term}`Donor pool selection`\n",
-        "\n",
-        "The {term}`synthetic control` method works by reconstructing the treated unit as a weighted combination of control units. Including controls that move in the _opposite_ direction to the treated unit can introduce **interpolation bias** and push the synthetic control outside the {term}`convex hull condition` of the {term}`donor pool` {cite}`abadie2010synthetic,abadie2021using`. {cite:t}`abadie2021penalized` further show that dissimilar donors amplify estimation error in disaggregated settings.\n",
-        "\n",
-        ":::{admonition} Practical guideline\n",
-        ":class: tip\n",
-        "Before fitting a synthetic control model, inspect the pre-treatment correlation heatmap and **exclude any control units that are negatively correlated** (or only weakly correlated) with the treated unit. This is especially important for Bayesian implementations that use a Dirichlet prior, since all donors receive non-zero weight by construction.\n",
-        ":::"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 6,
-      "metadata": {
-        "execution": {
-          "iopub.execute_input": "2026-02-28T22:16:39.207801Z",
-          "iopub.status.busy": "2026-02-28T22:16:39.207587Z",
-          "iopub.status.idle": "2026-02-28T22:16:39.235323Z",
-          "shell.execute_reply": "2026-02-28T22:16:39.234689Z"
-        }
-      },
-      "outputs": [
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "Keeping 9 donors: ['Austria', 'Belgium', 'Bulgaria', 'Croatia', 'Cyprus', 'Czech_Republic', 'Estonia', 'Finland', 'Greece']\n",
-            "Excluding 1 units: ['Hungary']\n"
-          ]
-        }
-      ],
-      "source": [
-        "denmark_corr = corr[\"Denmark\"].drop(\"Denmark\")\n",
-        "good_donors = list(denmark_corr[denmark_corr > 0].index)\n",
-        "excluded = list(denmark_corr[denmark_corr <= 0].index)\n",
-        "print(f\"Keeping {len(good_donors)} donors: {good_donors}\")\n",
-        "print(f\"Excluding {len(excluded)} units: {excluded}\")"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "With the contrarian markets removed, the remaining donor pool consists of countries that co-move with Denmark during the pre-treatment period. We can now proceed to fit the synthetic control model using these curated donors."
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "## Was there a geolift in sales in Denmark?\n",
-        "\n",
-        "In order to calculate what (if any) causal effect there is from the store refurbishment we need to compare the _actual_ sales in Denmark after the intervention and the _counterfactual_ sales in Denmark if the intervention had not taken place. We can see why this is called the counterfactual - we _did_ refurbish the stores in Denmark, so this is a completely hypothetical scenario that runs _counter to the facts_. But if we could measure (or more realistically estimate) this, that would be our control group. \n",
-        "\n",
-        "In this case, we generate a synthetic control, which is the name of the technique we will be using to estimate our counterfactual sales data in Denmark if the refurbishment had not taken place. You can read more about the synthetic control method on the [synthetic control wikipedia page](https://en.wikipedia.org/wiki/Synthetic_control_method), but the basic idea is as follows. For those familiar with traditional (non-Bayesian) modelling methods, the basic synthetic control algorithm can be described like this:\n",
-        "\n",
-        "```python\n",
-        "import my_custom_scikit_learn_model as weighted_combination\n",
-        "\n",
-        "\n",
-        "# fit the model to pre-intervention (training) data\n",
-        "weighted_combination.fit(X_train, y_train)\n",
-        "# estimate the counterfactual given post-intervention (test) data\n",
-        "counterfactual = weighted_combination.predict(X_test)\n",
-        "# estimate the causal impact\n",
-        "causal_impact = y_test - counterfactual\n",
-        "# cumulative causal impact\n",
-        "np.cumsum(causal_impact)\n",
-        "```\n",
-        "\n",
-        "So there is no magic involved - we simply estimate a synthetic Denmark as a weighted sum of the untreated units. We do this based on the 'training' data observed before the intervention. We then use that weighted sum model to predict our synthetic Denmark based on 'test' data of untreated countries observed after the intervention. We can then simply compare this counterfactual estimate with the observed sales data in Denmark and obtain our estimate of the causal impact. We can then (optionally) calculate the cumulative causal impact to answer the question \"How many more sales were caused by the store refurbishment over 2022?\"\n",
-        "\n",
-        "We can use `CausalPy`'s API to run this procedure, but using Bayesian inference methods as follows:\n",
-        "\n",
-        ":::{note}\n",
-        "The `random_seed` keyword argument for the PyMC sampler is not necessary. We use it here so that the results are reproducible.\n",
-        ":::"
-      ]
-    },
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Bayesian geolift with CausalPy\n",
+    "\n",
+    "This notebook covers how to use `CausalPy`'s Bayesian {term}`synthetic control` functionality to assess 'geolift'. Our hypothetical scenario is:\n",
+    "\n",
+    "> We are a data scientist within a company that operates over Europe. We have been given a historical dataset of sales volumes, in units of 1000's. The data is broken down by country and was collected at weekly frequency. We have data for the past 4 years. \n",
+    "\n",
+    "> At the start of 2022, the marketing department decided to refurbish all the stores in Denmark. Now, at the end of 2022, the company wants you to assess whether this refurbishment programme increased sales. If you tell them that the store refurbishment scheme increased sales volumes then they will roll out the scheme to other countries. Nobody said this, but in the back of your mind you worry that if you tell them that refurbishments increase sales but that doesn't actually happen in the future, then the companies profits will drop, the value of your shares will decrease, and your job security may be at risk.\n",
+    "\n",
+    "> Your boss is pretty tuned in. She also has these concerns. She knows that while it might be easy to establish an _association_ between the store refurbishments and changes in sales volumes, we really want to know if the store refurbishments _caused_ an increase in sales.\n",
+    "\n",
+    "> We know that the best way to make causal claims is to run a randomized control trial (sometimes known as an [A/B test](https://en.wikipedia.org/wiki/A/B_testing)). If we have randomly assigned stores across Europe (or picked a country) at random, then perhaps an A/B test would do the job. But we did not pick Denmark at random - so we are worried about confounding variables.\n",
+    "\n",
+    "> But we heard about synthetic control methods and a thing called GeoLift. After some research, we decide this is exactly what we want to do. But we are particularly interested in how certain we are in the level of any uplift we detect, so we want to use Bayesian methods and get easy to interpret Bayesian credible intervals. You find a library called `CausalPy` that supports exactly that use case and are delighted.\n",
+    "\n",
+    "Let's go!"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-28T22:16:36.431274Z",
+     "iopub.status.busy": "2026-02-28T22:16:36.431064Z",
+     "iopub.status.idle": "2026-02-28T22:16:38.796826Z",
+     "shell.execute_reply": "2026-02-28T22:16:38.796349Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "import arviz as az\n",
+    "import pandas as pd\n",
+    "\n",
+    "import causalpy as cp"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-28T22:16:38.798291Z",
+     "iopub.status.busy": "2026-02-28T22:16:38.798124Z",
+     "iopub.status.idle": "2026-02-28T22:16:38.833902Z",
+     "shell.execute_reply": "2026-02-28T22:16:38.833531Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "%load_ext autoreload\n",
+    "%autoreload 2\n",
+    "%config InlineBackend.figure_format = 'retina'\n",
+    "pd.set_option(\"display.precision\", 2)\n",
+    "seed = 42"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Load the dataset\n",
+    "\n",
+    "`CausalPy` includes an example (simulated) dataset suitable to explore ideas around geographical lift testing. All we need to do is to load that, get our observation dates set up appropriately in a pandas dataframe, and define the treatment time."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-28T22:16:38.835153Z",
+     "iopub.status.busy": "2026-02-28T22:16:38.835082Z",
+     "iopub.status.idle": "2026-02-28T22:16:38.857102Z",
+     "shell.execute_reply": "2026-02-28T22:16:38.856737Z"
+    }
+   },
+   "outputs": [
     {
-      "cell_type": "code",
-      "execution_count": 7,
-      "metadata": {
-        "execution": {
-          "iopub.execute_input": "2026-02-28T22:16:39.238288Z",
-          "iopub.status.busy": "2026-02-28T22:16:39.238058Z",
-          "iopub.status.idle": "2026-02-28T22:17:03.622559Z",
-          "shell.execute_reply": "2026-02-28T22:17:03.621658Z"
-        }
+     "data": {
+      "application/vnd.positron.dataexplorer+json": {
+       "comm_id": "1fafeb3a-d9d0-49f1-994b-31a92e752d84",
+       "shape": {
+        "columns": 11,
+        "rows": 5
+       },
+       "source": "pandas",
+       "title": "pandas",
+       "version": 1
       },
-      "outputs": [
-        {
-          "name": "stderr",
-          "output_type": "stream",
-          "text": [
-            "Initializing NUTS using jitter+adapt_diag...\n",
-            "Multiprocess sampling (4 chains in 4 jobs)\n",
-            "NUTS: [beta, y_hat_sigma]\n"
-          ]
-        },
-        {
-          "data": {
-            "application/vnd.jupyter.widget-view+json": {
-              "model_id": "1753c74325e14fd4817998072afdda8c",
-              "version_major": 2,
-              "version_minor": 0
-            },
-            "text/plain": [
-              "Output()"
-            ]
-          },
-          "metadata": {},
-          "output_type": "display_data"
-        },
-        {
-          "data": {
-            "text/html": [
-              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
-            ],
-            "text/plain": []
-          },
-          "metadata": {},
-          "output_type": "display_data"
-        },
-        {
-          "name": "stderr",
-          "output_type": "stream",
-          "text": [
-            "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 13 seconds.\n",
-            "There was 1 divergence after tuning. Increase `target_accept` or reparameterize.\n",
-            "Sampling: [beta, y_hat, y_hat_sigma]\n",
-            "Sampling: [y_hat]\n",
-            "Sampling: [y_hat]\n",
-            "Sampling: [y_hat]\n",
-            "Sampling: [y_hat]\n"
-          ]
-        }
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Austria</th>\n",
+       "      <th>Belgium</th>\n",
+       "      <th>Bulgaria</th>\n",
+       "      <th>Croatia</th>\n",
+       "      <th>Cyprus</th>\n",
+       "      <th>Czech_Republic</th>\n",
+       "      <th>Estonia</th>\n",
+       "      <th>Finland</th>\n",
+       "      <th>Greece</th>\n",
+       "      <th>Hungary</th>\n",
+       "      <th>Denmark</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>time</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2019-01-06</th>\n",
+       "      <td>1.63</td>\n",
+       "      <td>1.75</td>\n",
+       "      <td>1.51</td>\n",
+       "      <td>1.38</td>\n",
+       "      <td>1.97</td>\n",
+       "      <td>1.21</td>\n",
+       "      <td>2.06</td>\n",
+       "      <td>1.69</td>\n",
+       "      <td>2.98</td>\n",
+       "      <td>4.02</td>\n",
+       "      <td>1.71</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-01-13</th>\n",
+       "      <td>1.48</td>\n",
+       "      <td>1.65</td>\n",
+       "      <td>1.37</td>\n",
+       "      <td>1.46</td>\n",
+       "      <td>1.86</td>\n",
+       "      <td>1.53</td>\n",
+       "      <td>1.97</td>\n",
+       "      <td>1.82</td>\n",
+       "      <td>2.98</td>\n",
+       "      <td>4.19</td>\n",
+       "      <td>1.77</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-01-20</th>\n",
+       "      <td>1.73</td>\n",
+       "      <td>1.66</td>\n",
+       "      <td>1.47</td>\n",
+       "      <td>1.31</td>\n",
+       "      <td>2.30</td>\n",
+       "      <td>1.35</td>\n",
+       "      <td>1.80</td>\n",
+       "      <td>1.70</td>\n",
+       "      <td>2.81</td>\n",
+       "      <td>4.03</td>\n",
+       "      <td>1.93</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-01-27</th>\n",
+       "      <td>1.77</td>\n",
+       "      <td>1.57</td>\n",
+       "      <td>1.26</td>\n",
+       "      <td>1.23</td>\n",
+       "      <td>2.01</td>\n",
+       "      <td>1.31</td>\n",
+       "      <td>1.96</td>\n",
+       "      <td>1.59</td>\n",
+       "      <td>2.87</td>\n",
+       "      <td>4.11</td>\n",
+       "      <td>1.80</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-02-03</th>\n",
+       "      <td>1.70</td>\n",
+       "      <td>1.73</td>\n",
+       "      <td>1.29</td>\n",
+       "      <td>1.30</td>\n",
+       "      <td>2.07</td>\n",
+       "      <td>1.28</td>\n",
+       "      <td>1.90</td>\n",
+       "      <td>1.86</td>\n",
+       "      <td>2.85</td>\n",
+       "      <td>4.23</td>\n",
+       "      <td>1.64</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
       ],
-      "source": [
-        "result = cp.SyntheticControl(\n",
-        "    df,\n",
-        "    treatment_time,\n",
-        "    treated_units=[\"Denmark\"],\n",
-        "    control_units=good_donors,\n",
-        "    model=cp.pymc_models.WeightedSumFitter(\n",
-        "        sample_kwargs={\"target_accept\": 0.95, \"random_seed\": seed}\n",
-        "    ),\n",
-        ")"
+      "text/plain": [
+       "            Austria  Belgium  Bulgaria  Croatia  Cyprus  Czech_Republic  \\\n",
+       "time                                                                      \n",
+       "2019-01-06     1.63     1.75      1.51     1.38    1.97            1.21   \n",
+       "2019-01-13     1.48     1.65      1.37     1.46    1.86            1.53   \n",
+       "2019-01-20     1.73     1.66      1.47     1.31    2.30            1.35   \n",
+       "2019-01-27     1.77     1.57      1.26     1.23    2.01            1.31   \n",
+       "2019-02-03     1.70     1.73      1.29     1.30    2.07            1.28   \n",
+       "\n",
+       "            Estonia  Finland  Greece  Hungary  Denmark  \n",
+       "time                                                    \n",
+       "2019-01-06     2.06     1.69    2.98     4.02     1.71  \n",
+       "2019-01-13     1.97     1.82    2.98     4.19     1.77  \n",
+       "2019-01-20     1.80     1.70    2.81     4.03     1.93  \n",
+       "2019-01-27     1.96     1.59    2.87     4.11     1.80  \n",
+       "2019-02-03     1.90     1.86    2.85     4.23     1.64  "
       ]
-    },
+     },
+     "execution_count": null,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df = (\n",
+    "    cp.load_data(\"geolift1\")\n",
+    "    .assign(time=lambda x: pd.to_datetime(x[\"time\"]))\n",
+    "    .set_index(\"time\")\n",
+    ")\n",
+    "\n",
+    "treatment_time = pd.to_datetime(\"2022-01-01\")\n",
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "In our dataset, columns represent the different European countries that we operate in. We also have an index which labels each row with the date - the observations are weekly in frequency. The values in the table represent the sales volumes and are in units of 1000's. So a value of 2.4 represents 2,400 units sold per week."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "So let's plot that."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-28T22:16:38.872116Z",
+     "iopub.status.busy": "2026-02-28T22:16:38.872006Z",
+     "iopub.status.idle": "2026-02-28T22:16:39.041147Z",
+     "shell.execute_reply": "2026-02-28T22:16:39.040742Z"
+    }
+   },
+   "outputs": [
     {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "We can see that our sampling went well. PyMC returns no sampling warnings, and we have no divergences. If we wanted to take a closer look to diagnose the sampling process we could do the following:\n",
-        "\n",
-        "```python\n",
-        "az.summary(result.idata, round_to=2)\n",
-        "az.plot_trace(result.idata, var_names=[\"~mu\"], compact=False);\n",
-        "```"
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
       ]
-    },
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "untreated = list(set(df.columns).difference({\"Denmark\"}))\n",
+    "ax = df[untreated].plot(color=[0.7, 0.7, 0.7])\n",
+    "df[\"Denmark\"].plot(color=\"r\", ax=ax)\n",
+    "ax.axvline(treatment_time, color=\"k\", linestyle=\"--\")\n",
+    "ax.set(title=\"Observed data\", ylabel=\"Sales volume (thousands)\");"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "This looks pretty nice, but also disappointing. It is not immediately obvious from a visual inspection that there is a clear change in sales data in Denmark after the stores were refurbished (shown by the dashed line). This is made worse by the presence of annual seasonality in the data (which is different in each country), and the inherent stochasticisty in the weekly sales data."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Pre-experiment diagnostics: market correlations\n",
+    "\n",
+    "Before fitting a model, it is worth checking how similar the candidate control markets are to each other and to the treated market. Markets that move together in the pre-treatment period are more likely to produce a reliable synthetic control -- the weighted combination of controls will more easily replicate the treated unit's trajectory.\n",
+    "\n",
+    "CausalPy provides `plot_correlations()` to visualise the pairwise Pearson correlations between all locations in the panel data. High positive correlations between the treated market and several controls suggest that the control pool can plausibly reconstruct the treated unit's counterfactual."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-28T22:16:39.042490Z",
+     "iopub.status.busy": "2026-02-28T22:16:39.042405Z",
+     "iopub.status.idle": "2026-02-28T22:16:39.204742Z",
+     "shell.execute_reply": "2026-02-28T22:16:39.203947Z"
+    }
+   },
+   "outputs": [
     {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "## Results\n",
-        "\n",
-        "Let's use Arviz examine the posterior parameter estimates for each of the beta weightings for each country, along with the estimate of the measurement standard deviation, `sigma`."
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 640x480 with 2 Axes>"
       ]
-    },
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "pre_treatment = df.loc[df.index < treatment_time]\n",
+    "corr, ax = cp.plot_correlations(pre_treatment)\n",
+    "ax.set(title=\"Pairwise correlation of pre-treatment sales\");"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The heatmap reveals that most countries are strongly positively correlated with Denmark, but two countries -- Greece and Hungary -- are **negatively correlated** with the treated unit. This is a sign that those markets are driven by different underlying factors and would be poor donors for the synthetic control.\n",
+    "\n",
+    "### {term}`Donor pool selection`\n",
+    "\n",
+    "The {term}`synthetic control` method works by reconstructing the treated unit as a weighted combination of control units. Including controls that move in the _opposite_ direction to the treated unit can introduce **interpolation bias** and push the synthetic control outside the {term}`convex hull condition` of the {term}`donor pool` {cite}`abadie2010synthetic,abadie2021using`. {cite:t}`abadie2021penalized` further show that dissimilar donors amplify estimation error in disaggregated settings.\n",
+    "\n",
+    ":::{admonition} Practical guideline\n",
+    ":class: tip\n",
+    "Before fitting a synthetic control model, inspect the pre-treatment correlation heatmap and **exclude any control units that are negatively correlated** (or only weakly correlated) with the treated unit. This is especially important for Bayesian implementations that use a Dirichlet prior, since all donors receive non-zero weight by construction.\n",
+    ":::"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-28T22:16:39.207801Z",
+     "iopub.status.busy": "2026-02-28T22:16:39.207587Z",
+     "iopub.status.idle": "2026-02-28T22:16:39.235323Z",
+     "shell.execute_reply": "2026-02-28T22:16:39.234689Z"
+    }
+   },
+   "outputs": [
     {
-      "cell_type": "code",
-      "execution_count": 8,
-      "metadata": {
-        "execution": {
-          "iopub.execute_input": "2026-02-28T22:17:03.913329Z",
-          "iopub.status.busy": "2026-02-28T22:17:03.913139Z",
-          "iopub.status.idle": "2026-02-28T22:17:04.094203Z",
-          "shell.execute_reply": "2026-02-28T22:17:04.093508Z"
-        }
-      },
-      "outputs": [
-        {
-          "data": {
-            "image/png": "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",
-            "text/plain": [
-              "<Figure size 800x300 with 1 Axes>"
-            ]
-          },
-          "metadata": {
-            "image/png": {
-              "height": 305,
-              "width": 816
-            }
-          },
-          "output_type": "display_data"
-        }
-      ],
-      "source": [
-        "az.plot_forest(result.idata, var_names=[\"~mu\"], figsize=(8, 3), combined=True);"
-      ]
-    },
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Keeping 9 donors: ['Austria', 'Belgium', 'Bulgaria', 'Croatia', 'Cyprus', 'Czech_Republic', 'Estonia', 'Finland', 'Hungary']\n",
+      "Excluding 1 units: ['Greece']\n"
+     ]
+    }
+   ],
+   "source": [
+    "denmark_corr = corr[\"Denmark\"].drop(\"Denmark\")\n",
+    "good_donors = list(denmark_corr[denmark_corr > 0].index)\n",
+    "excluded = list(denmark_corr[denmark_corr <= 0].index)\n",
+    "print(f\"Keeping {len(good_donors)} donors: {good_donors}\")\n",
+    "print(f\"Excluding {len(excluded)} units: {excluded}\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "With the contrarian markets removed, the remaining donor pool consists of countries that co-move with Denmark during the pre-treatment period. We can now proceed to fit the synthetic control model using these curated donors."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Was there a geolift in sales in Denmark?\n",
+    "\n",
+    "In order to calculate what (if any) causal effect there is from the store refurbishment we need to compare the _actual_ sales in Denmark after the intervention and the _counterfactual_ sales in Denmark if the intervention had not taken place. We can see why this is called the counterfactual - we _did_ refurbish the stores in Denmark, so this is a completely hypothetical scenario that runs _counter to the facts_. But if we could measure (or more realistically estimate) this, that would be our control group. \n",
+    "\n",
+    "In this case, we generate a synthetic control, which is the name of the technique we will be using to estimate our counterfactual sales data in Denmark if the refurbishment had not taken place. You can read more about the synthetic control method on the [synthetic control wikipedia page](https://en.wikipedia.org/wiki/Synthetic_control_method), but the basic idea is as follows. For those familiar with traditional (non-Bayesian) modelling methods, the basic synthetic control algorithm can be described like this:\n",
+    "\n",
+    "```python\n",
+    "import my_custom_scikit_learn_model as weighted_combination\n",
+    "\n",
+    "\n",
+    "# fit the model to pre-intervention (training) data\n",
+    "weighted_combination.fit(X_train, y_train)\n",
+    "# estimate the counterfactual given post-intervention (test) data\n",
+    "counterfactual = weighted_combination.predict(X_test)\n",
+    "# estimate the causal impact\n",
+    "causal_impact = y_test - counterfactual\n",
+    "# cumulative causal impact\n",
+    "np.cumsum(causal_impact)\n",
+    "```\n",
+    "\n",
+    "So there is no magic involved - we simply estimate a synthetic Denmark as a weighted sum of the untreated units. We do this based on the 'training' data observed before the intervention. We then use that weighted sum model to predict our synthetic Denmark based on 'test' data of untreated countries observed after the intervention. We can then simply compare this counterfactual estimate with the observed sales data in Denmark and obtain our estimate of the causal impact. We can then (optionally) calculate the cumulative causal impact to answer the question \"How many more sales were caused by the store refurbishment over 2022?\"\n",
+    "\n",
+    "We can use `CausalPy`'s API to run this procedure, but using Bayesian inference methods as follows:\n",
+    "\n",
+    ":::{note}\n",
+    "The `random_seed` keyword argument for the PyMC sampler is not necessary. We use it here so that the results are reproducible.\n",
+    ":::"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-28T22:16:39.238288Z",
+     "iopub.status.busy": "2026-02-28T22:16:39.238058Z",
+     "iopub.status.idle": "2026-02-28T22:17:03.622559Z",
+     "shell.execute_reply": "2026-02-28T22:17:03.621658Z"
+    }
+   },
+   "outputs": [
     {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "If you are new to Bayesian methods, then I would recommend checking out these resources:\n",
-        "\n",
-        "* The PyMC website [pymc.io](https://www.pymc.io), especially the examples page.\n",
-        "* There are also a whole bunch of video resources including:\n",
-        "  * [Chris Fonnesbeck - Probabilistic Python: An Introduction to Bayesian Modeling with PyMC](https://www.youtube.com/watch?v=911d4A1U0BE)\n",
-        "  * [Intro to Probabilistic Programming with PyMC (Austin Rochford)](https://www.youtube.com/watch?v=Qu6-_AnRCs8)\n",
-        "  * [The Bayesian Zig Zag: Developing and Testing PyMC Models (Allen Downey)](https://www.youtube.com/watch?v=EYS3oDhLsP0)\n",
-        "  * The [pymc-devs](https://www.youtube.com/@pymc-devs) YouTube channel."
-      ]
-    },
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Initializing NUTS using jitter+adapt_diag...\n",
+      "Multiprocess sampling (4 chains in 4 jobs)\n",
+      "NUTS: [beta, y_hat_sigma]\n",
+      "\u001b[?25l                                                                                \n",
+      " \u001b[1m          \u001b[0m \u001b[1m      \u001b[0m \u001b[1m          \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep    \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m       \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgress\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverge…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize    \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemain…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   0      0         0.000     0          0.00      0:00:00   -:--:--   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   0      0         0.000     0          0.00      0:00:00   -:--:--   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   0      0         0.000     0          0.00      0:00:00   -:--:--   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   0      0         0.000     0          0.00      0:00:00   -:--:--   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   0      0         0.000     0          0.00      0:00:00   -:--:--   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   0      0         0.000     0          0.00      0:00:00   -:--:--   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   0      0         0.000     0          0.00      0:00:00   -:--:--   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   0      0         0.000     0          0.00      0:00:00   -:--:--   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   0      0         0.000     0          0.00      0:00:00   -:--:--   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   0      0         0.000     0          0.00      0:00:00   -:--:--   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   16     0         0.029     127        158.83    0:00:00   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   11     0         0.003     255        115.95    0:00:00   0:00:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   19     0         0.003     255        194.99    0:00:00   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   10     0         0.009     255        108.83    0:00:00   0:00:20   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   39     0         0.026     63         181.59    0:00:00   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   24     0         0.027     127        111.92    0:00:00   0:00:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   28     0         0.015     255        137.58    0:00:00   0:00:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   24     0         0.033     63         114.03    0:00:00   0:00:18   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   64     0         0.025     127        194.98    0:00:00   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   47     0         0.011     255        143.59    0:00:00   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   45     0         0.018     127        138.75    0:00:00   0:00:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   41     0         0.020     63         129.24    0:00:00   0:00:16   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   82     0         0.027     127        189.45    0:00:00   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   61     0         0.027     127        140.28    0:00:00   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   64     0         0.023     127        148.30    0:00:00   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   61     0         0.023     127        141.79    0:00:00   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   97     0         0.016     127        177.36    0:00:00   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   79     0         0.023     127        144.43    0:00:00   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   82     0         0.022     127        150.69    0:00:00   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   74     0         0.014     255        138.82    0:00:00   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   109    0         0.030     127        166.43    0:00:00   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   90     0         0.027     127        137.20    0:00:00   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   92     0         0.008     255        140.93    0:00:00   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   86     0         0.031     63         131.95    0:00:00   0:00:15   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   122    0         0.026     127        158.96    0:00:00   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   107    0         0.026     255        139.26    0:00:00   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   104    0         0.024     127        136.21    0:00:00   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   110    0         0.049     127        143.94    0:00:00   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   137    0         0.029     127        155.72    0:00:00   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   118    0         0.033     127        133.83    0:00:00   0:00:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   120    0         0.031     127        136.45    0:00:00   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   124    0         0.044     127        141.62    0:00:00   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   157    0         0.036     63         158.04    0:00:00   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   134    0         0.014     255        135.74    0:00:00   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   132    0         0.016     255        133.76    0:00:00   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   140    0         0.033     255        141.71    0:00:00   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   179    0         0.015     255        161.99    0:00:01   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   145    0         0.026     63         131.95    0:00:01   0:00:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   141    0         0.017     191        128.21    0:00:01   0:00:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   156    0         0.041     127        142.26    0:00:01   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   191    0         0.031     127        157.78    0:00:01   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   163    0         0.030     127        134.97    0:00:01   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   154    0         0.030     63         128.10    0:00:01   0:00:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   177    0         0.053     63         146.97    0:00:01   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   206    0         0.019     255        156.80    0:00:01   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   187    0         0.052     63         141.87    0:00:01   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   171    0         0.028     127        130.00    0:00:01   0:00:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   194    0         0.034     95         147.63    0:00:01   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   219    0         0.018     255        153.53    0:00:01   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   204    0         0.018     255        143.84    0:00:01   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   183    0         0.021     127        128.82    0:00:01   0:00:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   210    0         0.037     127        148.00    0:00:01   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   235    0         0.038     63         152.81    0:00:01   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   215    0         0.024     127        140.27    0:00:01   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   199    0         0.016     127        130.05    0:00:01   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   227    0         0.037     63         148.31    0:00:01   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   250    0         0.028     127        152.04    0:00:01   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   229    0         0.012     127        139.45    0:00:01   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   210    0         0.029     127        127.81    0:00:01   0:00:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   241    0         0.024     255        146.85    0:00:01   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   266    0         0.043     127        151.49    0:00:01   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   236    0         0.019     127        134.99    0:00:01   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   229    0         0.038     127        130.52    0:00:01   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   254    0         0.027     127        145.46    0:00:01   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   283    0         0.030     255        151.59    0:00:01   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   254    0         0.031     63         135.94    0:00:01   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   245    0         0.020     127        131.48    0:00:01   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   278    0         0.031     63         149.15    0:00:01   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   293    0         0.014     255        149.34    0:00:01   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   271    0         0.030     127        136.92    0:00:01   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   261    0         0.036     63         132.19    0:00:01   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   292    0         0.020     127        147.99    0:00:01   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   302    0         0.023     127        144.99    0:00:02   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   287    0         0.036     127        137.78    0:00:02   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   277    0         0.036     127        133.27    0:00:02   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   302    0         0.026     255        145.49    0:00:02   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   314    0         0.025     255        143.46    0:00:02   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   311    0         0.042     15         141.95    0:00:02   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   297    0         0.040     63         135.60    0:00:02   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   315    0         0.025     255        144.35    0:00:02   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   332    0         0.030     63         144.26    0:00:02   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   335    0         0.036     127        145.71    0:00:02   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   314    0         0.024     255        137.00    0:00:02   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   334    0         0.024     127        145.59    0:00:02   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   347    0         0.032     127        143.75    0:00:02   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   352    0         0.031     127        145.96    0:00:02   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   327    0         0.020     255        136.24    0:00:02   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   346    0         0.021     127        143.95    0:00:02   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   366    0         0.031     127        145.02    0:00:02   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   370    0         0.031     63         146.65    0:00:02   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   341    0         0.025     127        135.07    0:00:02   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   359    0         0.025     127        142.67    0:00:02   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   382    0         0.024     159        144.87    0:00:02   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   389    0         0.021     127        147.74    0:00:02   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   353    0         0.035     127        134.25    0:00:02   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   376    0         0.030     127        143.05    0:00:02   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   397    0         0.033     127        144.20    0:00:02   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   407    0         0.037     127        147.79    0:00:02   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   373    0         0.026     127        135.61    0:00:02   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   397    0         0.034     31         144.32    0:00:02   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   420    0         0.035     63         146.58    0:00:02   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   425    0         0.019     127        148.33    0:00:02   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   392    0         0.037     127        136.99    0:00:02   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   412    0         0.029     127        144.02    0:00:02   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   438    0         0.023     255        147.35    0:00:02   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   439    0         0.031     127        147.47    0:00:02   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   405    0         0.028     127        136.43    0:00:02   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   432    0         0.029     127        145.30    0:00:02   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   452    0         0.035     127        146.21    0:00:03   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   457    0         0.030     127        148.17    0:00:03   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   423    0         0.027     127        136.99    0:00:03   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   447    0         0.024     127        145.01    0:00:03   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   468    0         0.015     511        146.34    0:00:03   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   478    0         0.030     127        149.29    0:00:03   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   441    0         0.034     63         137.89    0:00:03   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   459    0         0.018     255        143.70    0:00:03   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   473    0         0.019     255        142.92    0:00:03   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   488    0         0.020     127        147.27    0:00:03   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   453    0         0.035     127        136.79    0:00:03   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   467    0         0.025     127        141.07    0:00:03   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   485    0         0.030     127        141.52    0:00:03   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   501    0         0.030     63         146.29    0:00:03   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   465    0         0.023     255        135.71    0:00:03   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   486    0         0.040     127        141.90    0:00:03   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   501    0         0.032     127        141.64    0:00:03   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   516    0         0.029     127        146.15    0:00:03   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   474    0         0.023     127        134.37    0:00:03   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   503    0         0.029     63         142.46    0:00:03   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   519    0         0.036     127        142.36    0:00:03   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   535    0         0.031     127        146.79    0:00:03   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   491    0         0.028     127        134.73    0:00:03   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   523    0         0.035     31         143.63    0:00:03   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   537    0         0.036     127        143.10    0:00:03   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   551    0         0.027     127        146.88    0:00:03   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   501    0         0.031     159        133.63    0:00:03   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   540    0         0.038     119        144.29    0:00:03   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   557    0         0.033     127        144.33    0:00:03   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   563    0         0.024     127        145.87    0:00:03   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   514    0         0.022     127        133.28    0:00:03   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   558    0         0.038     127        144.69    0:00:03   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   572    0         0.022     127        143.78    0:00:03   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   580    0         0.022     127        145.97    0:00:03   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   534    0         0.036     63         134.30    0:00:03   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   572    0         0.025     255        144.12    0:00:03   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   586    0         0.032     127        143.39    0:00:04   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   593    0         0.028     127        145.15    0:00:04   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   552    0         0.036     127        135.23    0:00:04   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   583    0         0.024     255        143.17    0:00:04   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   605    0         0.021     63         144.31    0:00:04   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   609    0         0.026     127        145.21    0:00:04   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   572    0         0.029     127        136.33    0:00:04   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   600    0         0.028     127        143.04    0:00:04   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   622    0         0.031     127        144.22    0:00:04   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   626    0         0.028     127        145.28    0:00:04   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   592    0         0.035     127        137.34    0:00:04   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   614    0         0.030     127        142.62    0:00:04   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   636    0         0.022     191        144.12    0:00:04   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   642    0         0.033     127        145.23    0:00:04   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   608    0         0.035     127        137.64    0:00:04   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   628    0         0.036     63         142.45    0:00:04   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   648    0         0.029     127        143.15    0:00:04   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   658    0         0.028     127        145.30    0:00:04   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   626    0         0.039     63         138.28    0:00:04   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   646    0         0.029     127        142.81    0:00:04   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   661    0         0.026     127        142.51    0:00:04   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   676    0         0.039     31         145.69    0:00:04   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   641    0         0.024     255        138.20    0:00:04   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   661    0         0.029     127        142.79    0:00:04   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   679    0         0.026     63         142.96    0:00:04   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   694    0         0.038     127        146.09    0:00:04   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   654    0         0.027     191        137.78    0:00:04   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   677    0         0.030     127        142.76    0:00:04   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   692    0         0.022     127        142.20    0:00:04   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   711    0         0.029     127        146.21    0:00:04   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   670    0         0.028     127        137.78    0:00:04   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   697    0         0.037     127        143.55    0:00:04   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   706    0         0.033     127        141.94    0:00:04   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   727    0         0.031     127        146.21    0:00:04   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   681    0         0.025     255        137.09    0:00:04   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   714    0         0.034     63         143.74    0:00:04   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   723    0         0.034     63         142.18    0:00:05   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   743    0         0.031     127        146.25    0:00:05   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   695    0         0.030     127        136.89    0:00:05   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   728    0         0.019     127        143.41    0:00:05   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   740    0         0.026     127        142.49    0:00:05   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   762    0         0.032     63         146.64    0:00:05   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   713    0         0.025     111        137.40    0:00:05   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   744    0         0.030     127        143.33    0:00:05   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   756    0         0.036     127        142.56    0:00:05   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   777    0         0.028     127        146.50    0:00:05   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   730    0         0.028     63         137.81    0:00:05   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   761    0         0.032     63         143.61    0:00:05   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   771    0         0.027     127        142.49    0:00:05   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   791    0         0.030     127        146.09    0:00:05   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   744    0         0.018     127        137.52    0:00:05   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   779    0         0.026     127        144.07    0:00:05   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   789    0         0.036     127        142.65    0:00:05   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   806    0         0.029     127        145.93    0:00:05   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   757    0         0.025     127        137.02    0:00:05   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   798    0         0.027     127        144.45    0:00:05   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   801    0         0.036     127        142.08    0:00:05   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   817    0         0.033     63         144.99    0:00:05   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   767    0         0.028     127        136.20    0:00:05   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   808    0         0.034     127        143.58    0:00:05   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   817    0         0.035     127        142.21    0:00:05   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   834    0         0.025     63         145.14    0:00:05   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   786    0         0.027     127        136.98    0:00:05   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   825    0         0.040     79         143.83    0:00:05   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   829    0         0.024     127        141.73    0:00:05   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   841    0         0.028     255        144.08    0:00:05   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   799    0         0.037     127        136.64    0:00:05   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   839    0         0.038     127        143.48    0:00:05   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   844    0         0.034     127        141.52    0:00:05   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   854    0         0.029     127        143.37    0:00:05   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   819    0         0.028     127        137.55    0:00:05   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   852    0         0.029     127        143.10    0:00:05   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   857    0         0.025     127        141.21    0:00:06   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   870    0         0.026     191        143.51    0:00:06   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   837    0         0.040     127        138.06    0:00:06   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   864    0         0.032     127        142.53    0:00:06   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   872    0         0.032     127        141.14    0:00:06   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   885    0         0.032     127        143.38    0:00:06   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   856    0         0.039     63         138.69    0:00:06   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   879    0         0.028     127        142.54    0:00:06   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   893    0         0.029     63         142.00    0:00:06   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   899    0         0.030     255        143.03    0:00:06   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   871    0         0.028     127        138.65    0:00:06   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   895    0         0.031     255        142.59    0:00:06   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   907    0         0.033     191        141.84    0:00:06   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   915    0         0.032     127        143.19    0:00:06   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   888    0         0.042     63         139.00    0:00:06   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   904    0         0.017     255        141.70    0:00:06   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   921    0         0.030     255        141.66    0:00:06   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   931    0         0.038     63         143.20    0:00:06   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   905    0         0.035     127        139.23    0:00:06   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   913    0         0.023     255        140.69    0:00:06   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   936    0         0.033     63         141.49    0:00:06   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   947    0         0.034     127        143.08    0:00:06   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   924    0         0.046     127        139.67    0:00:06   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   928    0         0.027     63         140.30    0:00:06   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   951    0         0.024     63         141.57    0:00:06   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   961    0         0.033     47         142.88    0:00:06   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   941    0         0.040     63         140.02    0:00:06   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   943    0         0.032     127        140.26    0:00:06   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   961    0         0.027     127        140.71    0:00:06   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   972    0         0.023     255        142.13    0:00:06   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   954    0         0.022     255        139.55    0:00:06   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   957    0         0.025     63         140.13    0:00:06   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   977    0         0.028     127        140.64    0:00:06   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   984    0         0.027     127        141.90    0:00:06   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   964    0         0.027     127        138.88    0:00:06   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   972    0         0.030     127        140.07    0:00:06   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   988    0         0.026     127        140.14    0:00:07   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   995    0         0.028     127        141.08    0:00:07   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   974    0         0.036     127        138.19    0:00:07   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   984    0         0.036     127        139.60    0:00:07   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   994    0         0.029     127        138.84    0:00:07   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1002   0         0.032     127        139.90    0:00:07   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   981    0         0.038     127        137.00    0:00:07   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   993    0         0.031     63         138.75    0:00:07   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1010   0         0.029     63         138.84    0:00:07   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1016   0         0.032     127        139.87    0:00:07   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1000   0         0.039     31         137.50    0:00:07   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1008   0         0.021     127        138.67    0:00:07   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1024   0         0.029     127        138.67    0:00:07   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1029   0         0.032     127        139.37    0:00:07   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1011   0         0.039     127        136.91    0:00:07   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1023   0         0.021     127        138.67    0:00:07   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1038   1         0.029     127        138.48    0:00:07   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1047   0         0.032     127        139.68    0:00:07   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1026   0         0.039     127        136.92    0:00:07   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1035   0         0.021     127        138.15    0:00:07   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1050   1         0.029     127        138.01    0:00:07   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1062   0         0.032     127        139.73    0:00:07   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1046   0         0.039     127        137.52    0:00:07   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1054   0         0.021     127        138.64    0:00:07   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1066   1         0.029     63         138.08    0:00:07   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1076   0         0.032     127        139.38    0:00:07   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1061   0         0.039     127        137.41    0:00:07   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1073   0         0.021     63         139.13    0:00:07   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1082   1         0.029     127        138.11    0:00:07   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1091   0         0.032     127        139.32    0:00:07   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1076   0         0.039     127        137.43    0:00:07   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1090   0         0.021     127        139.25    0:00:07   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1098   1         0.029     127        138.23    0:00:07   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1106   0         0.032     127        139.24    0:00:07   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1093   0         0.039     127        137.64    0:00:07   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1107   0         0.021     63         139.51    0:00:07   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1112   1         0.029     63         138.05    0:00:08   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1120   0         0.032     127        139.15    0:00:08   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1108   0         0.039     63         137.68    0:00:08   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1121   0         0.021     103        139.20    0:00:08   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1126   1         0.029     127        137.91    0:00:08   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1135   0         0.032     63         139.01    0:00:08   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1125   0         0.039     127        137.80    0:00:08   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1137   0         0.021     127        139.26    0:00:08   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1141   1         0.029     127        137.81    0:00:08   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1150   0         0.032     255        138.86    0:00:08   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1140   0         0.039     127        137.76    0:00:08   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1155   0         0.021     127        139.59    0:00:08   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1152   1         0.029     127        137.30    0:00:08   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1161   0         0.032     127        138.47    0:00:08   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1153   0         0.039     63         137.57    0:00:08   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1169   0         0.021     127        139.40    0:00:08   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1166   1         0.029     127        137.16    0:00:08   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1171   0         0.032     255        137.75    0:00:08   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1167   0         0.039     127        137.27    0:00:08   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1184   0         0.021     63         139.34    0:00:08   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1175   1         0.029     127        136.31    0:00:08   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1181   0         0.032     127        137.00    0:00:08   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1178   0         0.039     127        136.68    0:00:08   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1194   0         0.021     63         138.69    0:00:08   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1191   1         0.029     63         136.41    0:00:08   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1196   0         0.032     127        137.03    0:00:08   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1194   0         0.039     127        136.84    0:00:08   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1209   0         0.021     127        138.61    0:00:08   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1204   1         0.029     95         136.33    0:00:08   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1211   0         0.032     63         137.17    0:00:08   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1211   0         0.039     63         137.15    0:00:08   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1224   0         0.021     127        138.66    0:00:08   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1221   1         0.029     127        136.50    0:00:08   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1226   0         0.032     127        137.04    0:00:08   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1225   0         0.039     127        136.95    0:00:08   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1240   0         0.021     127        138.66    0:00:08   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1233   1         0.029     127        136.09    0:00:09   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1240   0         0.032     127        136.91    0:00:09   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1239   0         0.039     127        136.89    0:00:09   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1258   0         0.021     63         138.99    0:00:09   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1249   1         0.029     127        136.27    0:00:09   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1255   0         0.032     127        136.90    0:00:09   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1254   0         0.039     127        136.82    0:00:09   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1275   0         0.021     127        139.14    0:00:09   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1262   1         0.029     127        136.07    0:00:09   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1270   0         0.032     127        136.95    0:00:09   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1269   0         0.039     127        136.88    0:00:09   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1294   0         0.021     127        139.52    0:00:09   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1275   1         0.029     127        135.84    0:00:09   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1286   0         0.032     127        137.04    0:00:09   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1284   0         0.039     127        136.85    0:00:09   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1308   0         0.021     127        139.44    0:00:09   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1288   1         0.029     63         135.64    0:00:09   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1301   0         0.032     63         137.03    0:00:09   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1299   0         0.039     63         136.90    0:00:09   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1323   0         0.021     63         139.41    0:00:09   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1301   1         0.029     127        135.53    0:00:09   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1316   0         0.032     127        137.02    0:00:09   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1313   0         0.039     127        136.80    0:00:09   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1337   0         0.021     127        139.27    0:00:09   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1317   1         0.029     127        135.58    0:00:09   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1331   0         0.032     127        137.08    0:00:09   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1328   0         0.039     127        136.77    0:00:09   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1353   0         0.021     127        139.40    0:00:09   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1331   1         0.029     127        135.56    0:00:09   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1342   0         0.032     127        136.70    0:00:09   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1342   0         0.039     255        136.66    0:00:09   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1366   0         0.021     127        139.22    0:00:09   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1339   1         0.029     127        134.82    0:00:09   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1349   0         0.032     127        135.85    0:00:09   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1352   0         0.039     63         136.13    0:00:09   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1374   0         0.021     127        138.42    0:00:09   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1354   1         0.029     127        134.83    0:00:10   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1365   0         0.032     127        135.96    0:00:10   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1369   0         0.039     127        136.35    0:00:10   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1391   0         0.021     63         138.61    0:00:10   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1370   1         0.029     127        134.91    0:00:10   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1382   0         0.032     63         136.13    0:00:10   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1385   0         0.039     63         136.48    0:00:10   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1408   0         0.021     127        138.76    0:00:10   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1387   1         0.029     127        135.11    0:00:10   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1398   0         0.032     127        136.23    0:00:10   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1401   0         0.039     63         136.47    0:00:10   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1426   0         0.021     31         138.94    0:00:10   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1403   1         0.029     63         135.17    0:00:10   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1414   0         0.032     127        136.25    0:00:10   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1419   0         0.039     127        136.74    0:00:10   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1444   0         0.021     63         139.25    0:00:10   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1416   1         0.029     127        135.07    0:00:10   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1427   0         0.032     127        136.05    0:00:10   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1434   0         0.039     127        136.78    0:00:10   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1461   0         0.021     127        139.46    0:00:10   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1430   1         0.029     63         134.95    0:00:10   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1441   0         0.032     127        136.02    0:00:10   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1450   0         0.039     127        136.87    0:00:10   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1477   0         0.021     63         139.47    0:00:10   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1446   1         0.029     127        135.03    0:00:10   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1457   0         0.032     63         136.03    0:00:10   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1465   0         0.039     127        136.83    0:00:10   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1497   0         0.021     63         139.85    0:00:10   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1458   1         0.029     127        134.75    0:00:10   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1472   0         0.032     63         136.11    0:00:10   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1482   0         0.039     127        137.07    0:00:10   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1514   0         0.021     63         140.05    0:00:10   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1473   1         0.029     127        134.71    0:00:10   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1488   0         0.032     63         136.12    0:00:10   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1496   0         0.039     127        136.91    0:00:10   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1532   0         0.021     127        140.21    0:00:10   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1490   1         0.029     63         134.92    0:00:11   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1500   0         0.032     127        135.79    0:00:11   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1516   0         0.039     63         137.28    0:00:11   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1547   0         0.021     127        140.11    0:00:11   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1499   1         0.029     127        134.34    0:00:11   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1509   0         0.032     127        135.23    0:00:11   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1526   0         0.039     127        136.79    0:00:11   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1555   0         0.021     127        139.42    0:00:11   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1512   1         0.029     127        134.27    0:00:11   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1523   0         0.032     127        135.23    0:00:11   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1542   0         0.039     127        136.93    0:00:11   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1571   0         0.021     127        139.49    0:00:11   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1526   1         0.029     127        134.16    0:00:11   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1536   0         0.032     127        135.05    0:00:11   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1556   0         0.039     127        136.83    0:00:11   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1587   0         0.021     127        139.53    0:00:11   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1542   1         0.029     63         134.24    0:00:11   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1552   0         0.032     127        135.13    0:00:11   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1570   0         0.039     127        136.75    0:00:11   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1603   0         0.021     63         139.62    0:00:11   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1558   1         0.029     127        134.30    0:00:11   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1564   0         0.032     191        134.89    0:00:11   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1589   0         0.039     127        137.01    0:00:11   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1621   0         0.021     127        139.79    0:00:11   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1574   1         0.029     63         134.43    0:00:11   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1578   0         0.032     255        134.78    0:00:11   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1603   0         0.039     127        136.98    0:00:11   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1638   0         0.021     127        140.01    0:00:11   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1591   1         0.029     127        134.57    0:00:11   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1594   0         0.032     63         134.83    0:00:11   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1618   0         0.039     191        136.89    0:00:11   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1655   0         0.021     127        140.05    0:00:11   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1605   1         0.029     127        134.53    0:00:11   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1608   0         0.032     127        134.79    0:00:11   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1632   0         0.039     127        136.80    0:00:11   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1672   0         0.021     127        140.22    0:00:11   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1622   1         0.029     127        134.63    0:00:12   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1622   0         0.032     127        134.72    0:00:12   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1648   0         0.039     127        136.88    0:00:12   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1691   0         0.021     63         140.43    0:00:12   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1636   1         0.029     127        134.60    0:00:12   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1636   0         0.032     127        134.60    0:00:12   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1666   0         0.039     63         137.12    0:00:12   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1710   0         0.021     127        140.75    0:00:12   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1642   1         0.029     223        133.94    0:00:12   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1643   0         0.032     127        133.98    0:00:12   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1675   0         0.039     63         136.68    0:00:12   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1720   0         0.021     127        140.38    0:00:12   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1657   1         0.029     127        133.95    0:00:12   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1654   0         0.032     255        133.73    0:00:12   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1690   0         0.039     63         136.63    0:00:12   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1741   0         0.021     31         140.84    0:00:12   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1671   1         0.029     127        133.87    0:00:12   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1667   0         0.032     63         133.55    0:00:12   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1709   0         0.039     127        136.94    0:00:12   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1757   0         0.021     63         140.83    0:00:12   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1687   1         0.029     127        133.96    0:00:12   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1681   0         0.032     127        133.49    0:00:12   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1724   0         0.039     127        136.92    0:00:12   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1774   0         0.021     127        140.91    0:00:12   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1702   1         0.029     127        133.96    0:00:12   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1696   0         0.032     127        133.49    0:00:12   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1738   0         0.039     127        136.80    0:00:12   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1790   0         0.021     127        140.99    0:00:12   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1717   1         0.029     127        134.01    0:00:12   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1711   0         0.032     127        133.53    0:00:12   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1756   0         0.039     63         137.04    0:00:12   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1806   0         0.021     63         141.01    0:00:12   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1731   1         0.029     127        133.99    0:00:12   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1726   0         0.032     127        133.53    0:00:12   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1771   0         0.039     127        137.06    0:00:12   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1819   0         0.021     127        140.82    0:00:12   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1742   1         0.029     127        133.73    0:00:13   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1739   0         0.032     127        133.39    0:00:13   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1787   0         0.039     127        137.09    0:00:13   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1835   0         0.021     127        140.83    0:00:13   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1758   1         0.029     127        133.67    0:00:13   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1755   0         0.032     31         133.49    0:00:13   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1805   0         0.039     127        137.28    0:00:13   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1853   1         0.021     68         140.95    0:00:13   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1766   1         0.029     63         133.19    0:00:13   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1763   0         0.032     31         132.94    0:00:13   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1814   0         0.039     63         136.92    0:00:13   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1863   1         0.021     127        140.51    0:00:13   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1779   1         0.029     127        133.09    0:00:13   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1779   0         0.032     127        133.08    0:00:13   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1831   0         0.039     127        136.97    0:00:13   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1880   1         0.021     127        140.66    0:00:13   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1793   1         0.029     127        133.04    0:00:13   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1795   0         0.032     63         133.17    0:00:13   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1847   0         0.039     127        137.08    0:00:13   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1894   1         0.021     127        140.57    0:00:13   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1807   1         0.029     127        132.99    0:00:13   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1810   0         0.032     127        133.25    0:00:13   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1863   0         0.039     63         137.17    0:00:13   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1907   1         0.021     95         140.43    0:00:13   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1823   1         0.029     127        133.11    0:00:13   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1823   0         0.032     127        133.11    0:00:13   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1876   0         0.039     127        137.05    0:00:13   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1924   1         0.021     63         140.57    0:00:13   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1836   1         0.029     127        133.02    0:00:13   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1838   0         0.032     127        133.16    0:00:13   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1892   0         0.039     127        137.10    0:00:13   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1939   1         0.021     127        140.54    0:00:13   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1849   1         0.029     127        132.94    0:00:13   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1855   0         0.032     63         133.39    0:00:13   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1905   0         0.039     63         136.99    0:00:13   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1955   1         0.021     127        140.58    0:00:13   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1863   1         0.029     127        132.89    0:00:14   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1871   0         0.032     63         133.46    0:00:14   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1922   0         0.039     127        137.15    0:00:14   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1969   1         0.021     127        140.58    0:00:14   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1878   1         0.029     127        132.88    0:00:14   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1885   0         0.032     127        133.43    0:00:14   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1940   0         0.039     127        137.27    0:00:14   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1982   1         0.021     127        140.27    0:00:14   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1886   1         0.029     127        132.35    0:00:14   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1895   0         0.032     127        133.09    0:00:14   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1951   0         0.039     63         137.05    0:00:14   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1991   1         0.021     127        139.79    0:00:14   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1894   1         0.029     127        132.32    0:00:14   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1904   0         0.032     127        133.01    0:00:14   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1962   0         0.039     63         137.12    0:00:14   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━━\u001b[0m   2000   1         0.021     63         139.71    0:00:14   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1901   1         0.029     127        132.34    0:00:14   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1911   0         0.032     127        133.06    0:00:14   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1972   0         0.039     127        137.32    0:00:14   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━━\u001b[0m   2000   1         0.021     63         139.71    0:00:14   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1917   1         0.029     127        132.43    0:00:14   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1927   0         0.032     95         133.10    0:00:14   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1989   0         0.039     63         137.45    0:00:14   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━━\u001b[0m   2000   1         0.021     63         139.71    0:00:14   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1926   1         0.029     31         132.56    0:00:14   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1935   0         0.032     127        133.20    0:00:14   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━━\u001b[0m   2000   0         0.039     127        137.64    0:00:14   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━━\u001b[0m   2000   1         0.021     63         139.71    0:00:14   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1934   1         0.029     127        132.60    0:00:14   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1943   0         0.032     127        133.21    0:00:14   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━━\u001b[0m   2000   0         0.039     127        137.64    0:00:14   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━━\u001b[0m   2000   1         0.021     63         139.71    0:00:14   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1951   1         0.029     127        132.81    0:00:14   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1960   0         0.032     127        133.41    0:00:14   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━━\u001b[0m   2000   0         0.039     127        137.64    0:00:14   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━━\u001b[0m   2000   1         0.021     63         139.71    0:00:14   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1968   1         0.029     127        132.97    0:00:14   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1977   0         0.032     63         133.59    0:00:14   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━━\u001b[0m   2000   0         0.039     127        137.64    0:00:14   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━━\u001b[0m   2000   1         0.021     63         139.71    0:00:14   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1980   1         0.029     127        132.78    0:00:14   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1991   0         0.032     63         133.60    0:00:14   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━━\u001b[0m   2000   0         0.039     127        137.64    0:00:14   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━━\u001b[0m   2000   1         0.021     63         139.71    0:00:14   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1991   1         0.029     127        132.98    0:00:14   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━━\u001b[0m   2000   0         0.032     95         133.56    0:00:14   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━━\u001b[0m   2000   0         0.039     127        137.64    0:00:14   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━━\u001b[0m   2000   1         0.021     63         139.71    0:00:14   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1999   1         0.029     63         133.12    0:00:15   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━━\u001b[0m   2000   0         0.032     95         133.56    0:00:14   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━━\u001b[0m   2000   0         0.039     127        137.64    0:00:14   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━━\u001b[0m   2000   1         0.021     63         139.71    0:00:14   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━━\u001b[0m   2000   1         0.029     127        133.12    0:00:15   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━━\u001b[0m   2000   0         0.032     95         133.56    0:00:14   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━━\u001b[0m   2000   0         0.039     127        137.64    0:00:14   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━━\u001b[0m   2000   1         0.021     63         139.71    0:00:14   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━━\u001b[0m   2000   1         0.029     127        133.12    0:00:15   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━━\u001b[0m   2000   0         0.032     95         133.56    0:00:14   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━━\u001b[0m   2000   0         0.039     127        137.64    0:00:14   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━━\u001b[0m   2000   1         0.021     63         139.71    0:00:14   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "                                                                                \n",
+      "\u001b[?25hSampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 15 seconds.\n",
+      "There were 2 divergences after tuning. Increase `target_accept` or reparameterize.\n",
+      "Sampling: [beta, y_hat, y_hat_sigma]\n",
+      "Sampling: [y_hat]\n",
+      "Sampling: [y_hat]\n",
+      "Sampling: [y_hat]\n",
+      "Sampling: [y_hat]\n"
+     ]
+    }
+   ],
+   "source": [
+    "result = cp.SyntheticControl(\n",
+    "    df,\n",
+    "    treatment_time,\n",
+    "    treated_units=[\"Denmark\"],\n",
+    "    control_units=good_donors,\n",
+    "    model=cp.pymc_models.WeightedSumFitter(\n",
+    "        sample_kwargs={\"target_accept\": 0.95, \"random_seed\": seed}\n",
+    "    ),\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "If we wanted to take a closer look to diagnose the sampling process we could do the following:\n",
+    "\n",
+    "```python\n",
+    "az.summary(result.idata, round_to=2)\n",
+    "az.plot_trace(result.idata, var_names=[\"~mu\"], compact=False);\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Results\n",
+    "\n",
+    "Let's use Arviz examine the posterior parameter estimates for each of the beta weightings for each country, along with the estimate of the measurement standard deviation, `sigma`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-28T22:17:03.913329Z",
+     "iopub.status.busy": "2026-02-28T22:17:03.913139Z",
+     "iopub.status.idle": "2026-02-28T22:17:04.094203Z",
+     "shell.execute_reply": "2026-02-28T22:17:04.093508Z"
+    }
+   },
+   "outputs": [
     {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "We can now use the `plot` method of the `result` object that we get back from `CausalPy`. This will give us a pretty detailed visual output."
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 800x300 with 1 Axes>"
       ]
-    },
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "az.plot_forest(result.idata, var_names=[\"~mu\"], figsize=(8, 3), combined=True);"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "If you are new to Bayesian methods, then I would recommend checking out these resources:\n",
+    "\n",
+    "* The PyMC website [pymc.io](https://www.pymc.io), especially the examples page.\n",
+    "* There are also a whole bunch of video resources including:\n",
+    "  * [Chris Fonnesbeck - Probabilistic Python: An Introduction to Bayesian Modeling with PyMC](https://www.youtube.com/watch?v=911d4A1U0BE)\n",
+    "  * [Intro to Probabilistic Programming with PyMC (Austin Rochford)](https://www.youtube.com/watch?v=Qu6-_AnRCs8)\n",
+    "  * [The Bayesian Zig Zag: Developing and Testing PyMC Models (Allen Downey)](https://www.youtube.com/watch?v=EYS3oDhLsP0)\n",
+    "  * The [pymc-devs](https://www.youtube.com/@pymc-devs) YouTube channel."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We can now use the `plot` method of the `result` object that we get back from `CausalPy`. This will give us a pretty detailed visual output."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-28T22:17:04.095944Z",
+     "iopub.status.busy": "2026-02-28T22:17:04.095806Z",
+     "iopub.status.idle": "2026-02-28T22:17:04.531504Z",
+     "shell.execute_reply": "2026-02-28T22:17:04.530756Z"
+    }
+   },
+   "outputs": [
     {
-      "cell_type": "code",
-      "execution_count": 9,
-      "metadata": {
-        "execution": {
-          "iopub.execute_input": "2026-02-28T22:17:04.095944Z",
-          "iopub.status.busy": "2026-02-28T22:17:04.095806Z",
-          "iopub.status.idle": "2026-02-28T22:17:04.531504Z",
-          "shell.execute_reply": "2026-02-28T22:17:04.530756Z"
-        }
-      },
-      "outputs": [
-        {
-          "data": {
-            "image/png": "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",
-            "text/plain": [
-              "<Figure size 700x800 with 3 Axes>"
-            ]
-          },
-          "metadata": {
-            "image/png": {
-              "height": 811,
-              "width": 711
-            }
-          },
-          "output_type": "display_data"
-        }
-      ],
-      "source": [
-        "fig, ax = result.plot(plot_predictors=False)\n",
-        "\n",
-        "# formatting\n",
-        "for i in [0, 1, 2]:\n",
-        "    ax[i].set(ylabel=\"Sales (thousands)\")"
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 700x800 with 3 Axes>"
       ]
-    },
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, ax = result.plot(plot_predictors=False)\n",
+    "\n",
+    "# formatting\n",
+    "for i in [0, 1, 2]:\n",
+    "    ax[i].set(ylabel=\"Sales (thousands)\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Nice! By creating a simple model formula and one call to `CausalPy`, we have been able to evaluate the lift generated in the treated unit.\n",
+    "\n",
+    "In this example, there is quite a lot of measurement noise, but because we are using Bayesian inference methods here, we have a precise and principled quantification in our uncertainty.\n",
+    "\n",
+    "We can see that the Bayesian $R^2$ value for the pre-treatment data is about 0.5. This is not excellent, but pretty good for real-world data. It shows that the linear weighted combination model (the core of synthetic control) is doing a reasonable job at constructing a faux (i.e. synthetic) Denmark up until the treatment period.\n",
+    "\n",
+    "This synthetic control Denmark is our estimated counterfactual - what the sales would have been if the store renovation project had not been carried out. By looking at the difference we can estimate the causal impact, or we could also call it 'geographical lift'.\n",
+    "\n",
+    "Over the year since implementation, we can see that the cumulative causal impact of sales in Denmark was close to 10,000 units. Let's examine that in more detail. Below we look at the posterior distribution of the cumulative causal impact at the end of our time series, after the scheme had been in place for 1 year."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-28T22:17:04.534565Z",
+     "iopub.status.busy": "2026-02-28T22:17:04.534380Z",
+     "iopub.status.idle": "2026-02-28T22:17:04.629430Z",
+     "shell.execute_reply": "2026-02-28T22:17:04.628731Z"
+    }
+   },
+   "outputs": [
     {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "Nice! By creating a simple model formula and one call to `CausalPy`, we have been able to evaluate the lift generated in the treated unit.\n",
-        "\n",
-        "In this example, there is quite a lot of measurement noise, but because we are using Bayesian inference methods here, we have a precise and principled quantification in our uncertainty.\n",
-        "\n",
-        "We can see that the Bayesian $R^2$ value for the pre-treatment data is about 0.5. This is not excellent, but pretty good for real-world data. It shows that the linear weighted combination model (the core of synthetic control) is doing a reasonable job at constructing a faux (i.e. synthetic) Denmark up until the treatment period.\n",
-        "\n",
-        "This synthetic control Denmark is our estimated counterfactual - what the sales would have been if the store renovation project had not been carried out. By looking at the difference we can estimate the causal impact, or we could also call it 'geographical lift'.\n",
-        "\n",
-        "Over the year since implementation, we can see that the cumulative causal impact of sales in Denmark was close to 10,000 units. Let's examine that in more detail. Below we look at the posterior distribution of the cumulative causal impact at the end of our time series, after the scheme had been in place for 1 year."
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 800x400 with 1 Axes>"
       ]
-    },
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# get index of the final time point\n",
+    "index = result.post_impact_cumulative.obs_ind.max()\n",
+    "# grab the posterior distribution of the cumulative impact at this final time point\n",
+    "last_cumulative_estimate = result.post_impact_cumulative.sel({\"obs_ind\": index})\n",
+    "# get summary stats\n",
+    "ax = az.plot_posterior(last_cumulative_estimate, figsize=(8, 4))\n",
+    "ax.set(\n",
+    "    title=\"Estimated cumulative causal impact (at end of 2022)\",\n",
+    "    xlabel=\"Sales (thousands)\",\n",
+    ");"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "If we want, we can also extract these statistics out numerically:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-28T22:17:04.631760Z",
+     "iopub.status.busy": "2026-02-28T22:17:04.631581Z",
+     "iopub.status.idle": "2026-02-28T22:17:04.658653Z",
+     "shell.execute_reply": "2026-02-28T22:17:04.657825Z"
+    }
+   },
+   "outputs": [
     {
-      "cell_type": "code",
-      "execution_count": 10,
-      "metadata": {
-        "execution": {
-          "iopub.execute_input": "2026-02-28T22:17:04.534565Z",
-          "iopub.status.busy": "2026-02-28T22:17:04.534380Z",
-          "iopub.status.idle": "2026-02-28T22:17:04.629430Z",
-          "shell.execute_reply": "2026-02-28T22:17:04.628731Z"
-        }
+     "data": {
+      "application/vnd.positron.dataexplorer+json": {
+       "comm_id": "eac16423-2a05-44a7-ade3-bc2445a2b6a6",
+       "shape": {
+        "columns": 4,
+        "rows": 1
+       },
+       "source": "pandas",
+       "title": "pandas",
+       "version": 1
       },
-      "outputs": [
-        {
-          "data": {
-            "image/png": "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",
-            "text/plain": [
-              "<Figure size 800x400 with 1 Axes>"
-            ]
-          },
-          "metadata": {
-            "image/png": {
-              "height": 396,
-              "width": 640
-            }
-          },
-          "output_type": "display_data"
-        }
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>mean</th>\n",
+       "      <th>sd</th>\n",
+       "      <th>hdi_3%</th>\n",
+       "      <th>hdi_97%</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>x[Denmark]</th>\n",
+       "      <td>11.1</td>\n",
+       "      <td>0.4</td>\n",
+       "      <td>10.34</td>\n",
+       "      <td>11.83</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
       ],
-      "source": [
-        "# get index of the final time point\n",
-        "index = result.post_impact_cumulative.obs_ind.max()\n",
-        "# grab the posterior distribution of the cumulative impact at this final time point\n",
-        "last_cumulative_estimate = result.post_impact_cumulative.sel({\"obs_ind\": index})\n",
-        "# get summary stats\n",
-        "ax = az.plot_posterior(last_cumulative_estimate, figsize=(8, 4))\n",
-        "ax.set(\n",
-        "    title=\"Estimated cumulative causal impact (at end of 2022)\",\n",
-        "    xlabel=\"Sales (thousands)\",\n",
-        ");"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "If we want, we can also extract these statistics out numerically:"
+      "text/plain": [
+       "            mean   sd  hdi_3%  hdi_97%\n",
+       "x[Denmark]  11.1  0.4   10.34    11.83"
       ]
-    },
+     },
+     "execution_count": null,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "az.summary(last_cumulative_estimate, kind=\"stats\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Effect Summary Reporting\n",
+    "\n",
+    "For a decision-ready summary, you can use the `effect_summary()` method which provides a concise report with average and cumulative effects, HDI intervals, tail probabilities, and relative effects. This provides a comprehensive summary without manual post-processing.\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-28T22:17:04.660543Z",
+     "iopub.status.busy": "2026-02-28T22:17:04.660386Z",
+     "iopub.status.idle": "2026-02-28T22:17:04.705776Z",
+     "shell.execute_reply": "2026-02-28T22:17:04.705112Z"
+    }
+   },
+   "outputs": [
     {
-      "cell_type": "code",
-      "execution_count": 11,
-      "metadata": {
-        "execution": {
-          "iopub.execute_input": "2026-02-28T22:17:04.631760Z",
-          "iopub.status.busy": "2026-02-28T22:17:04.631581Z",
-          "iopub.status.idle": "2026-02-28T22:17:04.658653Z",
-          "shell.execute_reply": "2026-02-28T22:17:04.657825Z"
-        }
+     "data": {
+      "application/vnd.positron.dataexplorer+json": {
+       "comm_id": "d043f867-c436-4c60-8ca2-0b464edbb6fe",
+       "shape": {
+        "columns": 8,
+        "rows": 2
+       },
+       "source": "pandas",
+       "title": "pandas",
+       "version": 1
       },
-      "outputs": [
-        {
-          "data": {
-            "text/html": [
-              "<div>\n",
-              "<style scoped>\n",
-              "    .dataframe tbody tr th:only-of-type {\n",
-              "        vertical-align: middle;\n",
-              "    }\n",
-              "\n",
-              "    .dataframe tbody tr th {\n",
-              "        vertical-align: top;\n",
-              "    }\n",
-              "\n",
-              "    .dataframe thead th {\n",
-              "        text-align: right;\n",
-              "    }\n",
-              "</style>\n",
-              "<table border=\"1\" class=\"dataframe\">\n",
-              "  <thead>\n",
-              "    <tr style=\"text-align: right;\">\n",
-              "      <th></th>\n",
-              "      <th>mean</th>\n",
-              "      <th>sd</th>\n",
-              "      <th>hdi_3%</th>\n",
-              "      <th>hdi_97%</th>\n",
-              "    </tr>\n",
-              "  </thead>\n",
-              "  <tbody>\n",
-              "    <tr>\n",
-              "      <th>x[Denmark]</th>\n",
-              "      <td>11.29</td>\n",
-              "      <td>0.39</td>\n",
-              "      <td>10.52</td>\n",
-              "      <td>11.99</td>\n",
-              "    </tr>\n",
-              "  </tbody>\n",
-              "</table>\n",
-              "</div>"
-            ],
-            "text/plain": [
-              "             mean    sd  hdi_3%  hdi_97%\n",
-              "x[Denmark]  11.29  0.39   10.52    11.99"
-            ]
-          },
-          "execution_count": 11,
-          "metadata": {},
-          "output_type": "execute_result"
-        }
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>mean</th>\n",
+       "      <th>median</th>\n",
+       "      <th>hdi_lower</th>\n",
+       "      <th>hdi_upper</th>\n",
+       "      <th>p_gt_0</th>\n",
+       "      <th>relative_mean</th>\n",
+       "      <th>relative_hdi_lower</th>\n",
+       "      <th>relative_hdi_upper</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>average</th>\n",
+       "      <td>0.21</td>\n",
+       "      <td>0.21</td>\n",
+       "      <td>0.20</td>\n",
+       "      <td>0.23</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>10.2</td>\n",
+       "      <td>9.42</td>\n",
+       "      <td>10.99</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>cumulative</th>\n",
+       "      <td>11.10</td>\n",
+       "      <td>11.10</td>\n",
+       "      <td>10.32</td>\n",
+       "      <td>11.88</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>10.2</td>\n",
+       "      <td>9.42</td>\n",
+       "      <td>10.99</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
       ],
-      "source": [
-        "az.summary(last_cumulative_estimate, kind=\"stats\")"
+      "text/plain": [
+       "             mean  median  hdi_lower  hdi_upper  p_gt_0  relative_mean  \\\n",
+       "average      0.21    0.21       0.20       0.23     1.0           10.2   \n",
+       "cumulative  11.10   11.10      10.32      11.88     1.0           10.2   \n",
+       "\n",
+       "            relative_hdi_lower  relative_hdi_upper  \n",
+       "average                   9.42               10.99  \n",
+       "cumulative                9.42               10.99  "
       ]
-    },
+     },
+     "execution_count": null,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Generate effect summary for the full post-period\n",
+    "stats = result.effect_summary(treated_unit=\"Denmark\")\n",
+    "stats.table"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-28T22:17:04.707834Z",
+     "iopub.status.busy": "2026-02-28T22:17:04.707579Z",
+     "iopub.status.idle": "2026-02-28T22:17:04.731275Z",
+     "shell.execute_reply": "2026-02-28T22:17:04.730762Z"
+    }
+   },
+   "outputs": [
     {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "## Effect Summary Reporting\n",
-        "\n",
-        "For a decision-ready summary, you can use the `effect_summary()` method which provides a concise report with average and cumulative effects, HDI intervals, tail probabilities, and relative effects. This provides a comprehensive summary without manual post-processing.\n"
-      ]
-    },
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "During the Post-period (2022-01-02 00:00:00 to 2022-12-25 00:00:00), the response variable had an average value of approx. 2.31. By contrast, in the absence of an intervention, we would have expected an average response of 2.09. The 95% interval of this counterfactual prediction is [2.08, 2.11]. Subtracting this prediction from the observed response yields an estimate of the causal effect the intervention had on the response variable. This effect is 0.21 with a 95% interval of [0.20, 0.23].\n",
+      "\n",
+      "Summing up the individual data points during the Post-period, the response variable had an overall value of 119.90. By contrast, had the intervention not taken place, we would have expected a sum of 108.81. The 95% interval of this prediction is [108.03, 109.58].\n",
+      "\n",
+      "The 95% HDI of the effect [0.20, 0.23] does not include zero. The posterior probability of an increase is 1.000. Relative to the counterfactual, the effect represents a 10.20% change (95% HDI [9.42%, 10.99%]).\n",
+      "\n",
+      "This analysis assumes that the control units used to construct the synthetic counterfactual were not themselves affected by the intervention, and that the pre-treatment relationship between control and treated units remains stable throughout the post-treatment period. We recommend inspecting model fit, examining pre-intervention trends, and conducting sensitivity analyses (e.g., placebo tests) to support any causal conclusions drawn from this analysis.\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(stats.text)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "So at the end of our causal modelling endeavours we can report to our boss something along the lines of: \"We believe that the store refurbishment scheme was causally responsible for driving a total of about 11,100 additional sales. But we have uncertainty in the exact number of additional sales - our 94% credible regions span 10,310 to 11,920\".\n",
+    "\n",
+    "There are of course caveats worth bearing in mind. The analysis we've conducted has assumed that the only major event that might selectively influence sales in Denmark was the store renovation project. If this is a reasonable assumption then we may be on relatively stable ground in making causal claims. But if there were other events which selectively effected some units (countries) and not others, then we may need to be much more cautious in our claims and resort to more in-depth modelling approaches.\n",
+    "\n",
+    "But our estimated cumulative causal impact of $11100^{11920}_{10310}$ is exactly the information needed by others in the company. They can use this figure (and even the uncertainty associated with it) and estimate how long it would take for the cost of renovating other stores to result in a net profit.\n",
+    "\n",
+    "Your boss is very happy. You get a big end-of-year bonus."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Beyond GeoLift\n",
+    "This example used geographical regions as the treatment units, but there is no _requirement_ for units to be geographical regions. For example, your units could be products. Maybe your company sells many different products and one (or a few of these) are chosen to be discounted. Did this intervention of discounting the price causally increase sales volumes? Synthetic control methods can answer this (and similar questions) just as easily."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We can get nicely formatted tables from our integration with the [maketables](https://github.com/py-econometrics/maketables) package."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
     {
-      "cell_type": "code",
-      "execution_count": 12,
-      "metadata": {
-        "execution": {
-          "iopub.execute_input": "2026-02-28T22:17:04.660543Z",
-          "iopub.status.busy": "2026-02-28T22:17:04.660386Z",
-          "iopub.status.idle": "2026-02-28T22:17:04.705776Z",
-          "shell.execute_reply": "2026-02-28T22:17:04.705112Z"
-        }
-      },
-      "outputs": [
-        {
-          "data": {
-            "text/html": [
-              "<div>\n",
-              "<style scoped>\n",
-              "    .dataframe tbody tr th:only-of-type {\n",
-              "        vertical-align: middle;\n",
-              "    }\n",
-              "\n",
-              "    .dataframe tbody tr th {\n",
-              "        vertical-align: top;\n",
-              "    }\n",
-              "\n",
-              "    .dataframe thead th {\n",
-              "        text-align: right;\n",
-              "    }\n",
-              "</style>\n",
-              "<table border=\"1\" class=\"dataframe\">\n",
-              "  <thead>\n",
-              "    <tr style=\"text-align: right;\">\n",
-              "      <th></th>\n",
-              "      <th>mean</th>\n",
-              "      <th>median</th>\n",
-              "      <th>hdi_lower</th>\n",
-              "      <th>hdi_upper</th>\n",
-              "      <th>p_gt_0</th>\n",
-              "      <th>relative_mean</th>\n",
-              "      <th>relative_hdi_lower</th>\n",
-              "      <th>relative_hdi_upper</th>\n",
-              "    </tr>\n",
-              "  </thead>\n",
-              "  <tbody>\n",
-              "    <tr>\n",
-              "      <th>average</th>\n",
-              "      <td>0.22</td>\n",
-              "      <td>0.22</td>\n",
-              "      <td>0.2</td>\n",
-              "      <td>0.23</td>\n",
-              "      <td>1.0</td>\n",
-              "      <td>9.55</td>\n",
-              "      <td>8.81</td>\n",
-              "      <td>10.22</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>cumulative</th>\n",
-              "      <td>11.29</td>\n",
-              "      <td>11.29</td>\n",
-              "      <td>10.5</td>\n",
-              "      <td>12.02</td>\n",
-              "      <td>1.0</td>\n",
-              "      <td>9.55</td>\n",
-              "      <td>8.81</td>\n",
-              "      <td>10.22</td>\n",
-              "    </tr>\n",
-              "  </tbody>\n",
-              "</table>\n",
-              "</div>"
-            ],
-            "text/plain": [
-              "             mean  median  hdi_lower  hdi_upper  p_gt_0  relative_mean  \\\n",
-              "average      0.22    0.22        0.2       0.23     1.0           9.55   \n",
-              "cumulative  11.29   11.29       10.5      12.02     1.0           9.55   \n",
-              "\n",
-              "            relative_hdi_lower  relative_hdi_upper  \n",
-              "average                   8.81               10.22  \n",
-              "cumulative                8.81               10.22  "
-            ]
-          },
-          "execution_count": 12,
-          "metadata": {},
-          "output_type": "execute_result"
-        }
+     "data": {
+      "text/html": [
+       "\n",
+       "        <style>\n",
+       "        table tr:nth-child(even) {\n",
+       "            background-color: transparent !important;\n",
+       "        }\n",
+       "        </style>\n",
+       "        <div id=\"uvvwojilts\" style=\"padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;\">\n",
+       "<style>\n",
+       "#uvvwojilts table {\n",
+       "          font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, Oxygen, Ubuntu, Cantarell, 'Helvetica Neue', 'Fira Sans', 'Droid Sans', Arial, sans-serif;\n",
+       "          -webkit-font-smoothing: antialiased;\n",
+       "          -moz-osx-font-smoothing: grayscale;\n",
+       "        }\n",
+       "\n",
+       "#uvvwojilts thead, tbody, tfoot, tr, td, th { border-style: none; }\n",
+       " tr { background-color: transparent; }\n",
+       "#uvvwojilts p { margin: 0; padding: 0; }\n",
+       " #uvvwojilts .gt_table { display: table; border-collapse: collapse; line-height: normal; margin-left: auto; margin-right: auto; color: #333333; font-size: 16px; font-weight: normal; font-style: normal; background-color: #FFFFFF; width: auto; border-top-style: solid; border-top-width: 2px; border-top-color: #A8A8A8; border-right-style: none; border-right-width: 2px; border-right-color: #D3D3D3; border-bottom-style: hidden; border-bottom-width: 2px; border-bottom-color: #A8A8A8; border-left-style: none; border-left-width: 2px; border-left-color: #D3D3D3; }\n",
+       " #uvvwojilts .gt_caption { padding-top: 4px; padding-bottom: 4px; }\n",
+       " #uvvwojilts .gt_title { color: #333333; font-size: 16px; font-weight: initial; padding-top: 6px; padding-bottom: 6px; padding-left: 5px; padding-right: 5px; border-bottom-color: #FFFFFF; border-bottom-width: 0; }\n",
+       " #uvvwojilts .gt_subtitle { color: #333333; font-size: 85%; font-weight: initial; padding-top: 5px; padding-bottom: 7px; padding-left: 5px; padding-right: 5px; border-top-color: #FFFFFF; border-top-width: 0; }\n",
+       " #uvvwojilts .gt_heading { background-color: #FFFFFF; text-align: center; border-bottom-color: #FFFFFF; border-left-style: none; border-left-width: 1px; border-left-color: #D3D3D3; border-right-style: none; border-right-width: 1px; border-right-color: #D3D3D3; }\n",
+       " #uvvwojilts .gt_bottom_border { border-bottom-style: solid; border-bottom-width: 2px; border-bottom-color: #D3D3D3; }\n",
+       " #uvvwojilts .gt_col_headings { border-top-style: solid; border-top-width: 2px; border-top-color: black; border-bottom-style: solid; border-bottom-width: 0.25px; border-bottom-color: black; border-left-style: none; border-left-width: 1px; border-left-color: #D3D3D3; border-right-style: none; border-right-width: 1px; border-right-color: #D3D3D3; }\n",
+       " #uvvwojilts .gt_col_heading { color: #333333; background-color: #FFFFFF; font-size: 16px; font-weight: normal; text-transform: inherit; border-left-style: none; border-left-width: 0px; border-left-color: white; border-right-style: none; border-right-width: 0px; border-right-color: white; vertical-align: bottom; padding-top: 2px; padding-bottom: 7px; padding-left: 5px; padding-right: 5px; overflow-x: hidden; }\n",
+       " #uvvwojilts .gt_column_spanner_outer { color: #333333; background-color: #FFFFFF; font-size: 16px; font-weight: normal; text-transform: inherit; padding-top: 0; padding-bottom: 0; padding-left: 4px; padding-right: 4px; }\n",
+       " #uvvwojilts .gt_column_spanner_outer:first-child { padding-left: 0; }\n",
+       " #uvvwojilts .gt_column_spanner_outer:last-child { padding-right: 0; }\n",
+       " #uvvwojilts .gt_column_spanner { border-bottom-style: solid; border-bottom-width: 0.25px; border-bottom-color: black; vertical-align: bottom; padding-top: 2px; padding-bottom: 2px; overflow-x: hidden; display: inline-block; width: 100%; }\n",
+       " #uvvwojilts .gt_spanner_row { border-bottom-style: hidden; }\n",
+       " #uvvwojilts .gt_group_heading { padding-top: 0px; padding-bottom: 0px; padding-left: 5px; padding-right: 5px; color: #333333; background-color: #FFFFFF; font-size: 0px; font-weight: initial; text-transform: inherit; border-top-style: solid; border-top-width: 0.25px; border-top-color: black; border-bottom-style: solid; border-bottom-width: 0.25px; border-bottom-color: black; border-left-style: none; border-left-width: 1px; border-left-color: white; border-right-style: none; border-right-width: 1px; border-right-color: white; vertical-align: middle; text-align: left; }\n",
+       " #uvvwojilts .gt_empty_group_heading { padding: 0.5px; color: #333333; background-color: #FFFFFF; font-size: 0px; font-weight: initial; border-top-style: solid; border-top-width: 0.25px; border-top-color: black; border-bottom-style: solid; border-bottom-width: 0.25px; border-bottom-color: black; vertical-align: middle; }\n",
+       " #uvvwojilts .gt_from_md> :first-child { margin-top: 0; }\n",
+       " #uvvwojilts .gt_from_md> :last-child { margin-bottom: 0; }\n",
+       " #uvvwojilts .gt_row { padding-top: 2px; padding-bottom: 2px; padding-left: 5px; padding-right: 5px; margin: 10px; border-top-style: none; border-top-width: 1px; border-top-color: #D3D3D3; border-left-style: none; border-left-width: 0px; border-left-color: white; border-right-style: none; border-right-width: 0px; border-right-color: white; vertical-align: middle; overflow-x: hidden; }\n",
+       " #uvvwojilts .gt_stub { color: #333333; background-color: #FFFFFF; font-size: 16px; font-weight: initial; text-transform: inherit; border-right-style: hidden; border-right-width: 2px; border-right-color: #D3D3D3; padding-left: 5px; padding-right: 5px; }\n",
+       " #uvvwojilts .gt_stub_row_group { color: #333333; background-color: #FFFFFF; font-size: 100%; font-weight: initial; text-transform: inherit; border-right-style: solid; border-right-width: 2px; border-right-color: #D3D3D3; padding-left: 5px; padding-right: 5px; vertical-align: top; }\n",
+       " #uvvwojilts .gt_row_group_first td { border-top-width: 0.25px; }\n",
+       " #uvvwojilts .gt_row_group_first th { border-top-width: 0.25px; }\n",
+       " #uvvwojilts .gt_striped { color: #333333; background-color: #F4F4F4; }\n",
+       " #uvvwojilts .gt_table_body { border-top-style: solid; border-top-width: 0px; border-top-color: black; border-bottom-style: solid; border-bottom-width: 2px; border-bottom-color: black; }\n",
+       " #uvvwojilts .gt_grand_summary_row { color: #333333; background-color: #FFFFFF; text-transform: inherit; padding-top: 8px; padding-bottom: 8px; padding-left: 5px; padding-right: 5px; }\n",
+       " #uvvwojilts .gt_first_grand_summary_row_bottom { border-top-style: double; border-top-width: 6px; border-top-color: #D3D3D3; }\n",
+       " #uvvwojilts .gt_last_grand_summary_row_top { border-bottom-style: double; border-bottom-width: 6px; border-bottom-color: #D3D3D3; }\n",
+       " #uvvwojilts .gt_sourcenotes { color: #333333; background-color: #FFFFFF; border-bottom-style: none; border-bottom-width: 2px; border-bottom-color: #D3D3D3; border-left-style: none; border-left-width: 2px; border-left-color: #D3D3D3; border-right-style: none; border-right-width: 2px; border-right-color: #D3D3D3; }\n",
+       " #uvvwojilts .gt_sourcenote { font-size: 10px; padding-top: 4px; padding-bottom: 4px; padding-left: 5px; padding-right: 5px; text-align: left; }\n",
+       " #uvvwojilts .gt_left { text-align: left; }\n",
+       " #uvvwojilts .gt_center { text-align: center; }\n",
+       " #uvvwojilts .gt_right { text-align: right; font-variant-numeric: tabular-nums; }\n",
+       " #uvvwojilts .gt_font_normal { font-weight: normal; }\n",
+       " #uvvwojilts .gt_font_bold { font-weight: bold; }\n",
+       " #uvvwojilts .gt_font_italic { font-style: italic; }\n",
+       " #uvvwojilts .gt_super { font-size: 65%; }\n",
+       " #uvvwojilts .gt_footnote_marks { font-size: 75%; vertical-align: 0.4em; position: initial; }\n",
+       " #uvvwojilts .gt_asterisk { font-size: 100%; vertical-align: 0; }\n",
+       " \n",
+       "</style>\n",
+       "<table class=\"gt_table\" data-quarto-disable-processing=\"false\" data-quarto-bootstrap=\"false\">\n",
+       "<thead>\n",
+       "\n",
+       "<tr class=\"gt_col_headings gt_spanner_row\">\n",
+       "  <th class=\"gt_col_heading gt_columns_bottom_border gt_left\" rowspan=\"2\" colspan=\"1\" scope=\"col\" id=\"\"></th>\n",
+       "  <th class=\"gt_center gt_columns_top_border gt_column_spanner_outer\" rowspan=\"1\" colspan=\"1\" scope=\"col\" id=\"y\">\n",
+       "    <span class=\"gt_column_spanner\">y</span>\n",
+       "  </th>\n",
+       "</tr>\n",
+       "<tr class=\"gt_col_headings\">\n",
+       "  <th class=\"gt_col_heading gt_columns_bottom_border gt_center\" rowspan=\"1\" colspan=\"1\" scope=\"col\" id=\"0\">(1)</th>\n",
+       "</tr>\n",
+       "</thead>\n",
+       "<tbody class=\"gt_table_body\">\n",
+       "  <tr class=\"gt_group_heading_row\">\n",
+       "    <th class=\"gt_group_heading\" colspan=\"2\">coef</th>\n",
+       "  </tr>\n",
+       "  <tr>\n",
+       "    <th class=\"gt_row gt_left gt_stub\">Austria</th>\n",
+       "    <td class=\"gt_row gt_center\">0.034</td>\n",
+       "  </tr>\n",
+       "  <tr>\n",
+       "    <th class=\"gt_row gt_left gt_stub\">Belgium</th>\n",
+       "    <td class=\"gt_row gt_center\">0.433</td>\n",
+       "  </tr>\n",
+       "  <tr>\n",
+       "    <th class=\"gt_row gt_left gt_stub\">Bulgaria</th>\n",
+       "    <td class=\"gt_row gt_center\">0.131</td>\n",
+       "  </tr>\n",
+       "  <tr>\n",
+       "    <th class=\"gt_row gt_left gt_stub\">Croatia</th>\n",
+       "    <td class=\"gt_row gt_center\">0.055</td>\n",
+       "  </tr>\n",
+       "  <tr>\n",
+       "    <th class=\"gt_row gt_left gt_stub\">Cyprus</th>\n",
+       "    <td class=\"gt_row gt_center\">0.106</td>\n",
+       "  </tr>\n",
+       "  <tr>\n",
+       "    <th class=\"gt_row gt_left gt_stub\">Czech_Republic</th>\n",
+       "    <td class=\"gt_row gt_center\">0.059</td>\n",
+       "  </tr>\n",
+       "  <tr>\n",
+       "    <th class=\"gt_row gt_left gt_stub\">Estonia</th>\n",
+       "    <td class=\"gt_row gt_center\">0.079</td>\n",
+       "  </tr>\n",
+       "  <tr>\n",
+       "    <th class=\"gt_row gt_left gt_stub\">Finland</th>\n",
+       "    <td class=\"gt_row gt_center\">0.075</td>\n",
+       "  </tr>\n",
+       "  <tr>\n",
+       "    <th class=\"gt_row gt_left gt_stub\">Hungary</th>\n",
+       "    <td class=\"gt_row gt_center\">0.029</td>\n",
+       "  </tr>\n",
+       "  <tr class=\"gt_group_heading_row\">\n",
+       "    <th class=\"gt_group_heading\" colspan=\"2\">stats</th>\n",
+       "  </tr>\n",
+       "  <tr>\n",
+       "    <th class=\"gt_row gt_left gt_stub\">N</th>\n",
+       "    <td class=\"gt_row gt_center\">208</td>\n",
+       "  </tr>\n",
+       "  <tr>\n",
+       "    <th class=\"gt_row gt_left gt_stub\">Bayesian R2</th>\n",
+       "    <td class=\"gt_row gt_center\">0.943</td>\n",
+       "  </tr>\n",
+       "</tbody>\n",
+       "  <tfoot class=\"gt_sourcenotes\">\n",
+       "  \n",
+       "  <tr>\n",
+       "    <td class=\"gt_sourcenote\" colspan=\"2\">Format of coefficient cell: Coefficient</td>\n",
+       "  </tr>\n",
+       "\n",
+       "</tfoot>\n",
+       "\n",
+       "</table>\n",
+       "\n",
+       "</div>\n",
+       "        "
       ],
-      "source": [
-        "# Generate effect summary for the full post-period\n",
-        "stats = result.effect_summary(treated_unit=\"Denmark\")\n",
-        "stats.table"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 13,
-      "metadata": {
-        "execution": {
-          "iopub.execute_input": "2026-02-28T22:17:04.707834Z",
-          "iopub.status.busy": "2026-02-28T22:17:04.707579Z",
-          "iopub.status.idle": "2026-02-28T22:17:04.731275Z",
-          "shell.execute_reply": "2026-02-28T22:17:04.730762Z"
-        }
-      },
-      "outputs": [
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "During the Post-period (2022-01-02 00:00:00 to 2022-12-25 00:00:00), the response variable had an average value of approx. 2.49. By contrast, in the absence of an intervention, we would have expected an average response of 2.27. The 95% interval of this counterfactual prediction is [2.26, 2.29]. Subtracting this prediction from the observed response yields an estimate of the causal effect the intervention had on the response variable. This effect is 0.22 with a 95% interval of [0.20, 0.23].\n",
-            "\n",
-            "Summing up the individual data points during the Post-period, the response variable had an overall value of 129.59. By contrast, had the intervention not taken place, we would have expected a sum of 118.30. The 95% interval of this prediction is [117.57, 119.09].\n",
-            "\n",
-            "The 95% HDI of the effect [0.20, 0.23] does not include zero. The posterior probability of an increase is 1.000. Relative to the counterfactual, the effect represents a 9.55% change (95% HDI [8.81%, 10.22%]).\n",
-            "\n",
-            "This analysis assumes that the control units used to construct the synthetic counterfactual were not themselves affected by the intervention, and that the pre-treatment relationship between control and treated units remains stable throughout the post-treatment period. We recommend inspecting model fit, examining pre-intervention trends, and conducting sensitivity analyses (e.g., placebo tests) to support any causal conclusions drawn from this analysis.\n"
-          ]
-        }
+      "text/latex": [
+       "\\begin{threeparttable}\n",
+       "\\begingroup\n",
+       "\\renewcommand\\cellalign{t}\n",
+       "\\renewcommand\\arraystretch{1}\n",
+       "\\setlength{\\tabcolsep}{3pt}\n",
+       "\\begin{tabularx}{\\linewidth}{@{}>{\\raggedright\\arraybackslash}l>{\\centering\\arraybackslash}X}\n",
+       "\\toprule\n",
+       " & \\multicolumn{1}{c}{y} \\\\\n",
+       "\\cmidrule(lr){2-2}\n",
+       " & (1) \\\\\n",
+       "\\midrule\n",
+       "\\addlinespace[1ex]\n",
+       "Austria & 0.034 \\\\\n",
+       "\\addlinespace[0.5ex]\n",
+       "\\addlinespace[0.5ex]\n",
+       "Belgium & 0.433 \\\\\n",
+       "\\addlinespace[0.5ex]\n",
+       "\\addlinespace[0.5ex]\n",
+       "Bulgaria & 0.131 \\\\\n",
+       "\\addlinespace[0.5ex]\n",
+       "\\addlinespace[0.5ex]\n",
+       "Croatia & 0.055 \\\\\n",
+       "\\addlinespace[0.5ex]\n",
+       "\\addlinespace[0.5ex]\n",
+       "Cyprus & 0.106 \\\\\n",
+       "\\addlinespace[0.5ex]\n",
+       "\\addlinespace[0.5ex]\n",
+       "Czech_Republic & 0.059 \\\\\n",
+       "\\addlinespace[0.5ex]\n",
+       "\\addlinespace[0.5ex]\n",
+       "Estonia & 0.079 \\\\\n",
+       "\\addlinespace[0.5ex]\n",
+       "\\addlinespace[0.5ex]\n",
+       "Finland & 0.075 \\\\\n",
+       "\\addlinespace[0.5ex]\n",
+       "\\addlinespace[0.5ex]\n",
+       "Hungary & 0.029 \\\\\n",
+       "\\addlinespace[0.5ex]\n",
+       "\\midrule\n",
+       "\\addlinespace[1ex]\n",
+       "N & 208 \\\\\n",
+       "\\addlinespace[0.5ex]\n",
+       "\\addlinespace[0.5ex]\n",
+       "Bayesian R2 & 0.943 \\\\\n",
+       "\\addlinespace[0.5ex]\n",
+       "\\bottomrule\n",
+       "\\end{tabularx}\n",
+       "\\endgroup\n",
+       "\\noindent\\begin{minipage}{\\linewidth}\\smallskip\\footnotesize\n",
+       "Format of coefficient cell: Coefficient\\end{minipage}\n",
+       "\n",
+       "\\end{threeparttable}"
       ],
-      "source": [
-        "print(stats.text)"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "So at the end of our causal modelling endeavours we can report to our boss something along the lines of: \"We believe that the store refurbishment scheme was causally responsible for driving a total of about 9150 additional sales. But we have uncertainty in the exact number of additional sales - our 94% credible regions span 7,420 to 10,790\".\n",
-        "\n",
-        "There are of course caveats worth bearing in mind. The analysis we've conducted has assumed that the only major event that might selectively influence sales in Denmark was the store renovation project. If this is a reasonable assumption then we may be on relatively stable ground in making causal claims. But if there were other events which selectively effected some units (countries) and not others, then we may need to be much more cautious in our claims and resort to more in-depth modelling approaches.\n",
-        "\n",
-        "But our estimated cumulative causal impact of $9150^{7420}_{10790}$ is exactly the information needed by others in the company. They can use this figure (and even the uncertainty associated with it) and estimate how long it would take for the cost of renovating other stores to result in a net profit.\n",
-        "\n",
-        "Your boss is very happy. You get a big end-of-year bonus."
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "## Beyond GeoLift\n",
-        "This example used geographical regions as the treatment units, but there is no _requirement_ for units to be geographical regions. For example, your units could be products. Maybe your company sells many different products and one (or a few of these) are chosen to be discounted. Did this intervention of discounting the price causally increase sales volumes? Synthetic control methods can answer this (and similar questions) just as easily."
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "We can get nicely formatted tables from our integration with the [maketables](https://github.com/py-econometrics/maketables) package."
+      "text/plain": [
+       "<maketables.mtable.MTable.__repr__.<locals>.DualOutput at 0x1599bfa10>"
       ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
     },
     {
-      "cell_type": "code",
-      "execution_count": 14,
-      "metadata": {},
-      "outputs": [
-        {
-          "data": {
-            "text/html": [
-              "\n",
-              "        <style>\n",
-              "        table tr:nth-child(even) {\n",
-              "            background-color: transparent !important;\n",
-              "        }\n",
-              "        </style>\n",
-              "        <div id=\"qmddpysrgx\" style=\"padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;\">\n",
-              "<style>\n",
-              "#qmddpysrgx table {\n",
-              "          font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, Oxygen, Ubuntu, Cantarell, 'Helvetica Neue', 'Fira Sans', 'Droid Sans', Arial, sans-serif;\n",
-              "          -webkit-font-smoothing: antialiased;\n",
-              "          -moz-osx-font-smoothing: grayscale;\n",
-              "        }\n",
-              "\n",
-              "#qmddpysrgx thead, tbody, tfoot, tr, td, th { border-style: none; }\n",
-              " tr { background-color: transparent; }\n",
-              "#qmddpysrgx p { margin: 0; padding: 0; }\n",
-              " #qmddpysrgx .gt_table { display: table; border-collapse: collapse; line-height: normal; margin-left: auto; margin-right: auto; color: #333333; font-size: 16px; font-weight: normal; font-style: normal; background-color: #FFFFFF; width: auto; border-top-style: solid; border-top-width: 2px; border-top-color: #A8A8A8; border-right-style: none; border-right-width: 2px; border-right-color: #D3D3D3; border-bottom-style: hidden; border-bottom-width: 2px; border-bottom-color: #A8A8A8; border-left-style: none; border-left-width: 2px; border-left-color: #D3D3D3; }\n",
-              " #qmddpysrgx .gt_caption { padding-top: 4px; padding-bottom: 4px; }\n",
-              " #qmddpysrgx .gt_title { color: #333333; font-size: 16px; font-weight: initial; padding-top: 6px; padding-bottom: 6px; padding-left: 5px; padding-right: 5px; border-bottom-color: #FFFFFF; border-bottom-width: 0; }\n",
-              " #qmddpysrgx .gt_subtitle { color: #333333; font-size: 85%; font-weight: initial; padding-top: 5px; padding-bottom: 7px; padding-left: 5px; padding-right: 5px; border-top-color: #FFFFFF; border-top-width: 0; }\n",
-              " #qmddpysrgx .gt_heading { background-color: #FFFFFF; text-align: center; border-bottom-color: #FFFFFF; border-left-style: none; border-left-width: 1px; border-left-color: #D3D3D3; border-right-style: none; border-right-width: 1px; border-right-color: #D3D3D3; }\n",
-              " #qmddpysrgx .gt_bottom_border { border-bottom-style: solid; border-bottom-width: 2px; border-bottom-color: #D3D3D3; }\n",
-              " #qmddpysrgx .gt_col_headings { border-top-style: solid; border-top-width: 2px; border-top-color: black; border-bottom-style: solid; border-bottom-width: 0.25px; border-bottom-color: black; border-left-style: none; border-left-width: 1px; border-left-color: #D3D3D3; border-right-style: none; border-right-width: 1px; border-right-color: #D3D3D3; }\n",
-              " #qmddpysrgx .gt_col_heading { color: #333333; background-color: #FFFFFF; font-size: 16px; font-weight: normal; text-transform: inherit; border-left-style: none; border-left-width: 0px; border-left-color: white; border-right-style: none; border-right-width: 0px; border-right-color: white; vertical-align: bottom; padding-top: 2px; padding-bottom: 7px; padding-left: 5px; padding-right: 5px; overflow-x: hidden; }\n",
-              " #qmddpysrgx .gt_column_spanner_outer { color: #333333; background-color: #FFFFFF; font-size: 16px; font-weight: normal; text-transform: inherit; padding-top: 0; padding-bottom: 0; padding-left: 4px; padding-right: 4px; }\n",
-              " #qmddpysrgx .gt_column_spanner_outer:first-child { padding-left: 0; }\n",
-              " #qmddpysrgx .gt_column_spanner_outer:last-child { padding-right: 0; }\n",
-              " #qmddpysrgx .gt_column_spanner { border-bottom-style: solid; border-bottom-width: 0.25px; border-bottom-color: black; vertical-align: bottom; padding-top: 2px; padding-bottom: 2px; overflow-x: hidden; display: inline-block; width: 100%; }\n",
-              " #qmddpysrgx .gt_spanner_row { border-bottom-style: hidden; }\n",
-              " #qmddpysrgx .gt_group_heading { padding-top: 0px; padding-bottom: 0px; padding-left: 5px; padding-right: 5px; color: #333333; background-color: #FFFFFF; font-size: 0px; font-weight: initial; text-transform: inherit; border-top-style: solid; border-top-width: 0.25px; border-top-color: black; border-bottom-style: solid; border-bottom-width: 0.25px; border-bottom-color: black; border-left-style: none; border-left-width: 1px; border-left-color: white; border-right-style: none; border-right-width: 1px; border-right-color: white; vertical-align: middle; text-align: left; }\n",
-              " #qmddpysrgx .gt_empty_group_heading { padding: 0.5px; color: #333333; background-color: #FFFFFF; font-size: 0px; font-weight: initial; border-top-style: solid; border-top-width: 0.25px; border-top-color: black; border-bottom-style: solid; border-bottom-width: 0.25px; border-bottom-color: black; vertical-align: middle; }\n",
-              " #qmddpysrgx .gt_from_md> :first-child { margin-top: 0; }\n",
-              " #qmddpysrgx .gt_from_md> :last-child { margin-bottom: 0; }\n",
-              " #qmddpysrgx .gt_row { padding-top: 2px; padding-bottom: 2px; padding-left: 5px; padding-right: 5px; margin: 10px; border-top-style: none; border-top-width: 1px; border-top-color: #D3D3D3; border-left-style: none; border-left-width: 0px; border-left-color: white; border-right-style: none; border-right-width: 0px; border-right-color: white; vertical-align: middle; overflow-x: hidden; }\n",
-              " #qmddpysrgx .gt_stub { color: #333333; background-color: #FFFFFF; font-size: 16px; font-weight: initial; text-transform: inherit; border-right-style: hidden; border-right-width: 2px; border-right-color: #D3D3D3; padding-left: 5px; padding-right: 5px; }\n",
-              " #qmddpysrgx .gt_stub_row_group { color: #333333; background-color: #FFFFFF; font-size: 100%; font-weight: initial; text-transform: inherit; border-right-style: solid; border-right-width: 2px; border-right-color: #D3D3D3; padding-left: 5px; padding-right: 5px; vertical-align: top; }\n",
-              " #qmddpysrgx .gt_row_group_first td { border-top-width: 0.25px; }\n",
-              " #qmddpysrgx .gt_row_group_first th { border-top-width: 0.25px; }\n",
-              " #qmddpysrgx .gt_striped { color: #333333; background-color: #F4F4F4; }\n",
-              " #qmddpysrgx .gt_table_body { border-top-style: solid; border-top-width: 0px; border-top-color: black; border-bottom-style: solid; border-bottom-width: 2px; border-bottom-color: black; }\n",
-              " #qmddpysrgx .gt_grand_summary_row { color: #333333; background-color: #FFFFFF; text-transform: inherit; padding-top: 8px; padding-bottom: 8px; padding-left: 5px; padding-right: 5px; }\n",
-              " #qmddpysrgx .gt_first_grand_summary_row_bottom { border-top-style: double; border-top-width: 6px; border-top-color: #D3D3D3; }\n",
-              " #qmddpysrgx .gt_last_grand_summary_row_top { border-bottom-style: double; border-bottom-width: 6px; border-bottom-color: #D3D3D3; }\n",
-              " #qmddpysrgx .gt_sourcenotes { color: #333333; background-color: #FFFFFF; border-bottom-style: none; border-bottom-width: 2px; border-bottom-color: #D3D3D3; border-left-style: none; border-left-width: 2px; border-left-color: #D3D3D3; border-right-style: none; border-right-width: 2px; border-right-color: #D3D3D3; }\n",
-              " #qmddpysrgx .gt_sourcenote { font-size: 10px; padding-top: 4px; padding-bottom: 4px; padding-left: 5px; padding-right: 5px; text-align: left; }\n",
-              " #qmddpysrgx .gt_left { text-align: left; }\n",
-              " #qmddpysrgx .gt_center { text-align: center; }\n",
-              " #qmddpysrgx .gt_right { text-align: right; font-variant-numeric: tabular-nums; }\n",
-              " #qmddpysrgx .gt_font_normal { font-weight: normal; }\n",
-              " #qmddpysrgx .gt_font_bold { font-weight: bold; }\n",
-              " #qmddpysrgx .gt_font_italic { font-style: italic; }\n",
-              " #qmddpysrgx .gt_super { font-size: 65%; }\n",
-              " #qmddpysrgx .gt_footnote_marks { font-size: 75%; vertical-align: 0.4em; position: initial; }\n",
-              " #qmddpysrgx .gt_asterisk { font-size: 100%; vertical-align: 0; }\n",
-              " \n",
-              "</style>\n",
-              "<table class=\"gt_table\" data-quarto-disable-processing=\"false\" data-quarto-bootstrap=\"false\">\n",
-              "<thead>\n",
-              "\n",
-              "<tr class=\"gt_col_headings gt_spanner_row\">\n",
-              "  <th class=\"gt_col_heading gt_columns_bottom_border gt_left\" rowspan=\"2\" colspan=\"1\" scope=\"col\" id=\"\"></th>\n",
-              "  <th class=\"gt_center gt_columns_top_border gt_column_spanner_outer\" rowspan=\"1\" colspan=\"1\" scope=\"col\" id=\"y\">\n",
-              "    <span class=\"gt_column_spanner\">y</span>\n",
-              "  </th>\n",
-              "</tr>\n",
-              "<tr class=\"gt_col_headings\">\n",
-              "  <th class=\"gt_col_heading gt_columns_bottom_border gt_center\" rowspan=\"1\" colspan=\"1\" scope=\"col\" id=\"0\">(1)</th>\n",
-              "</tr>\n",
-              "</thead>\n",
-              "<tbody class=\"gt_table_body\">\n",
-              "  <tr class=\"gt_group_heading_row\">\n",
-              "    <th class=\"gt_group_heading\" colspan=\"2\">coef</th>\n",
-              "  </tr>\n",
-              "  <tr>\n",
-              "    <th class=\"gt_row gt_left gt_stub\">Austria</th>\n",
-              "    <td class=\"gt_row gt_center\">0.191</td>\n",
-              "  </tr>\n",
-              "  <tr>\n",
-              "    <th class=\"gt_row gt_left gt_stub\">Belgium</th>\n",
-              "    <td class=\"gt_row gt_center\">0.082</td>\n",
-              "  </tr>\n",
-              "  <tr>\n",
-              "    <th class=\"gt_row gt_left gt_stub\">Bulgaria</th>\n",
-              "    <td class=\"gt_row gt_center\">0.219</td>\n",
-              "  </tr>\n",
-              "  <tr>\n",
-              "    <th class=\"gt_row gt_left gt_stub\">Croatia</th>\n",
-              "    <td class=\"gt_row gt_center\">0.208</td>\n",
-              "  </tr>\n",
-              "  <tr>\n",
-              "    <th class=\"gt_row gt_left gt_stub\">Cyprus</th>\n",
-              "    <td class=\"gt_row gt_center\">0.048</td>\n",
-              "  </tr>\n",
-              "  <tr>\n",
-              "    <th class=\"gt_row gt_left gt_stub\">Czech_Republic</th>\n",
-              "    <td class=\"gt_row gt_center\">0.029</td>\n",
-              "  </tr>\n",
-              "  <tr>\n",
-              "    <th class=\"gt_row gt_left gt_stub\">Estonia</th>\n",
-              "    <td class=\"gt_row gt_center\">0.116</td>\n",
-              "  </tr>\n",
-              "  <tr>\n",
-              "    <th class=\"gt_row gt_left gt_stub\">Finland</th>\n",
-              "    <td class=\"gt_row gt_center\">0.072</td>\n",
-              "  </tr>\n",
-              "  <tr>\n",
-              "    <th class=\"gt_row gt_left gt_stub\">Greece</th>\n",
-              "    <td class=\"gt_row gt_center\">0.035</td>\n",
-              "  </tr>\n",
-              "  <tr class=\"gt_group_heading_row\">\n",
-              "    <th class=\"gt_group_heading\" colspan=\"2\">stats</th>\n",
-              "  </tr>\n",
-              "  <tr>\n",
-              "    <th class=\"gt_row gt_left gt_stub\">N</th>\n",
-              "    <td class=\"gt_row gt_center\">208</td>\n",
-              "  </tr>\n",
-              "  <tr>\n",
-              "    <th class=\"gt_row gt_left gt_stub\">Bayesian R2</th>\n",
-              "    <td class=\"gt_row gt_center\">0.94</td>\n",
-              "  </tr>\n",
-              "</tbody>\n",
-              "  <tfoot class=\"gt_sourcenotes\">\n",
-              "  \n",
-              "  <tr>\n",
-              "    <td class=\"gt_sourcenote\" colspan=\"2\">Format of coefficient cell: Coefficient</td>\n",
-              "  </tr>\n",
-              "\n",
-              "</tfoot>\n",
-              "\n",
-              "</table>\n",
-              "\n",
-              "</div>\n",
-              "        "
-            ],
-            "text/latex": [
-              "\\begin{threeparttable}\n",
-              "\\begingroup\n",
-              "\\renewcommand\\cellalign{t}\n",
-              "\\renewcommand\\arraystretch{1}\n",
-              "\\setlength{\\tabcolsep}{3pt}\n",
-              "\\begin{tabularx}{\\linewidth}{@{}>{\\raggedright\\arraybackslash}l>{\\centering\\arraybackslash}X}\n",
-              "\\toprule\n",
-              " & \\multicolumn{1}{c}{y} \\\\\n",
-              "\\cmidrule(lr){2-2}\n",
-              " & (1) \\\\\n",
-              "\\midrule\n",
-              "\\addlinespace[1ex]\n",
-              "Austria & 0.191 \\\\\n",
-              "\\addlinespace[0.5ex]\n",
-              "\\addlinespace[0.5ex]\n",
-              "Belgium & 0.082 \\\\\n",
-              "\\addlinespace[0.5ex]\n",
-              "\\addlinespace[0.5ex]\n",
-              "Bulgaria & 0.219 \\\\\n",
-              "\\addlinespace[0.5ex]\n",
-              "\\addlinespace[0.5ex]\n",
-              "Croatia & 0.208 \\\\\n",
-              "\\addlinespace[0.5ex]\n",
-              "\\addlinespace[0.5ex]\n",
-              "Cyprus & 0.048 \\\\\n",
-              "\\addlinespace[0.5ex]\n",
-              "\\addlinespace[0.5ex]\n",
-              "Czech_Republic & 0.029 \\\\\n",
-              "\\addlinespace[0.5ex]\n",
-              "\\addlinespace[0.5ex]\n",
-              "Estonia & 0.116 \\\\\n",
-              "\\addlinespace[0.5ex]\n",
-              "\\addlinespace[0.5ex]\n",
-              "Finland & 0.072 \\\\\n",
-              "\\addlinespace[0.5ex]\n",
-              "\\addlinespace[0.5ex]\n",
-              "Greece & 0.035 \\\\\n",
-              "\\addlinespace[0.5ex]\n",
-              "\\midrule\n",
-              "\\addlinespace[1ex]\n",
-              "N & 208 \\\\\n",
-              "\\addlinespace[0.5ex]\n",
-              "\\addlinespace[0.5ex]\n",
-              "Bayesian R2 & 0.94 \\\\\n",
-              "\\addlinespace[0.5ex]\n",
-              "\\bottomrule\n",
-              "\\end{tabularx}\n",
-              "\\endgroup\n",
-              "\\noindent\\begin{minipage}{\\linewidth}\\smallskip\\footnotesize\n",
-              "Format of coefficient cell: Coefficient\\end{minipage}\n",
-              "\n",
-              "\\end{threeparttable}"
-            ],
-            "text/plain": [
-              "<maketables.mtable.MTable.__repr__.<locals>.DualOutput at 0x16bd11d30>"
-            ]
-          },
-          "metadata": {},
-          "output_type": "display_data"
-        },
+     "data": {
+      "text/plain": []
+     },
+     "execution_count": null,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from maketables import ETable\n",
+    "\n",
+    "ETable(result, coef_fmt=\"b:.3f\")"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "CausalPy",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.13.12"
+  },
+  "widgets": {
+   "application/vnd.jupyter.widget-state+json": {
+    "state": {
+     "28a4cfb791ab4990bd1c70390608efbd": {
+      "model_module": "@jupyter-widgets/output",
+      "model_module_version": "1.0.0",
+      "model_name": "OutputModel",
+      "state": {
+       "_dom_classes": [],
+       "_model_module": "@jupyter-widgets/output",
+       "_model_module_version": "1.0.0",
+       "_model_name": "OutputModel",
+       "_view_count": null,
+       "_view_module": "@jupyter-widgets/output",
+       "_view_module_version": "1.0.0",
+       "_view_name": "OutputView",
+       "layout": "IPY_MODEL_626768a3ca834d76b1ab047909789b22",
+       "msg_id": "",
+       "outputs": [
         {
-          "data": {
-            "text/plain": []
-          },
-          "execution_count": 14,
-          "metadata": {},
-          "output_type": "execute_result"
+         "data": {
+          "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">                                                                                                                   \n <span style=\"font-weight: bold\"> Progress                  </span> <span style=\"font-weight: bold\"> Draws </span> <span style=\"font-weight: bold\"> Divergences </span> <span style=\"font-weight: bold\"> Step size </span> <span style=\"font-weight: bold\"> Grad evals </span> <span style=\"font-weight: bold\"> Sampling Speed </span> <span style=\"font-weight: bold\"> Elapsed </span> <span style=\"font-weight: bold\"> Remaining </span> \n ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n  <span style=\"color: #1f77b4; text-decoration-color: #1f77b4\">━━━━━━━━━━━━━━━━━━━━━━━━━</span>   2000    0             0.031       127          103.12 draws/s   0:00:19   0:00:00    \n  <span style=\"color: #d62728; text-decoration-color: #d62728\">━━━━━━━━━━━━━━━━━━━━━━━━━</span>   2000    1             0.031       127          106.10 draws/s   0:00:18   0:00:00    \n  <span style=\"color: #1f77b4; text-decoration-color: #1f77b4\">━━━━━━━━━━━━━━━━━━━━━━━━━</span>   2000    0             0.024       127          108.09 draws/s   0:00:18   0:00:00    \n  <span style=\"color: #1f77b4; text-decoration-color: #1f77b4\">━━━━━━━━━━━━━━━━━━━━━━━━━</span>   2000    0             0.024       127          103.50 draws/s   0:00:19   0:00:00    \n                                                                                                                   \n</pre>\n",
+          "text/plain": "                                                                                                                   \n \u001b[1m \u001b[0m\u001b[1mProgress                 \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraws\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDivergences\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep size\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad evals\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSampling Speed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaining\u001b[0m\u001b[1m \u001b[0m \n ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n  ━━━━━━━━━━━━━━━━━━━━━━━━━   2000    0             0.031       127          103.12 draws/s   0:00:19   0:00:00    \n  ━━━━━━━━━━━━━━━━━━━━━━━━━   2000    1             0.031       127          106.10 draws/s   0:00:18   0:00:00    \n  ━━━━━━━━━━━━━━━━━━━━━━━━━   2000    0             0.024       127          108.09 draws/s   0:00:18   0:00:00    \n  ━━━━━━━━━━━━━━━━━━━━━━━━━   2000    0             0.024       127          103.50 draws/s   0:00:19   0:00:00    \n                                                                                                                   \n"
+         },
+         "metadata": {},
+         "output_type": "display_data"
         }
-      ],
-      "source": [
-        "from maketables import ETable\n",
-        "\n",
-        "ETable(result, coef_fmt=\"b:.3f\")"
-      ]
-    }
-  ],
-  "metadata": {
-    "kernelspec": {
-      "display_name": "CausalPy",
-      "language": "python",
-      "name": "python3"
-    },
-    "language_info": {
-      "codemirror_mode": {
-        "name": "ipython",
-        "version": 3
-      },
-      "file_extension": ".py",
-      "mimetype": "text/x-python",
-      "name": "python",
-      "nbconvert_exporter": "python",
-      "pygments_lexer": "ipython3",
-      "version": "3.13.12"
-    },
-    "widgets": {
-      "application/vnd.jupyter.widget-state+json": {
-        "state": {
-          "28a4cfb791ab4990bd1c70390608efbd": {
-            "model_module": "@jupyter-widgets/output",
-            "model_module_version": "1.0.0",
-            "model_name": "OutputModel",
-            "state": {
-              "_dom_classes": [],
-              "_model_module": "@jupyter-widgets/output",
-              "_model_module_version": "1.0.0",
-              "_model_name": "OutputModel",
-              "_view_count": null,
-              "_view_module": "@jupyter-widgets/output",
-              "_view_module_version": "1.0.0",
-              "_view_name": "OutputView",
-              "layout": "IPY_MODEL_626768a3ca834d76b1ab047909789b22",
-              "msg_id": "",
-              "outputs": [
-                {
-                  "data": {
-                    "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">                                                                                                                   \n <span style=\"font-weight: bold\"> Progress                  </span> <span style=\"font-weight: bold\"> Draws </span> <span style=\"font-weight: bold\"> Divergences </span> <span style=\"font-weight: bold\"> Step size </span> <span style=\"font-weight: bold\"> Grad evals </span> <span style=\"font-weight: bold\"> Sampling Speed </span> <span style=\"font-weight: bold\"> Elapsed </span> <span style=\"font-weight: bold\"> Remaining </span> \n ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n  <span style=\"color: #1f77b4; text-decoration-color: #1f77b4\">━━━━━━━━━━━━━━━━━━━━━━━━━</span>   2000    0             0.031       127          103.12 draws/s   0:00:19   0:00:00    \n  <span style=\"color: #d62728; text-decoration-color: #d62728\">━━━━━━━━━━━━━━━━━━━━━━━━━</span>   2000    1             0.031       127          106.10 draws/s   0:00:18   0:00:00    \n  <span style=\"color: #1f77b4; text-decoration-color: #1f77b4\">━━━━━━━━━━━━━━━━━━━━━━━━━</span>   2000    0             0.024       127          108.09 draws/s   0:00:18   0:00:00    \n  <span style=\"color: #1f77b4; text-decoration-color: #1f77b4\">━━━━━━━━━━━━━━━━━━━━━━━━━</span>   2000    0             0.024       127          103.50 draws/s   0:00:19   0:00:00    \n                                                                                                                   \n</pre>\n",
-                    "text/plain": "                                                                                                                   \n \u001b[1m \u001b[0m\u001b[1mProgress                 \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraws\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDivergences\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep size\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad evals\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSampling Speed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaining\u001b[0m\u001b[1m \u001b[0m \n ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n  ━━━━━━━━━━━━━━━━━━━━━━━━━   2000    0             0.031       127          103.12 draws/s   0:00:19   0:00:00    \n  ━━━━━━━━━━━━━━━━━━━━━━━━━   2000    1             0.031       127          106.10 draws/s   0:00:18   0:00:00    \n  ━━━━━━━━━━━━━━━━━━━━━━━━━   2000    0             0.024       127          108.09 draws/s   0:00:18   0:00:00    \n  ━━━━━━━━━━━━━━━━━━━━━━━━━   2000    0             0.024       127          103.50 draws/s   0:00:19   0:00:00    \n                                                                                                                   \n"
-                  },
-                  "metadata": {},
-                  "output_type": "display_data"
-                }
-              ],
-              "tabbable": null,
-              "tooltip": null
-            }
-          },
-          "626768a3ca834d76b1ab047909789b22": {
-            "model_module": "@jupyter-widgets/base",
-            "model_module_version": "2.0.0",
-            "model_name": "LayoutModel",
-            "state": {
-              "_model_module": "@jupyter-widgets/base",
-              "_model_module_version": "2.0.0",
-              "_model_name": "LayoutModel",
-              "_view_count": null,
-              "_view_module": "@jupyter-widgets/base",
-              "_view_module_version": "2.0.0",
-              "_view_name": "LayoutView",
-              "align_content": null,
-              "align_items": null,
-              "align_self": null,
-              "border_bottom": null,
-              "border_left": null,
-              "border_right": null,
-              "border_top": null,
-              "bottom": null,
-              "display": null,
-              "flex": null,
-              "flex_flow": null,
-              "grid_area": null,
-              "grid_auto_columns": null,
-              "grid_auto_flow": null,
-              "grid_auto_rows": null,
-              "grid_column": null,
-              "grid_gap": null,
-              "grid_row": null,
-              "grid_template_areas": null,
-              "grid_template_columns": null,
-              "grid_template_rows": null,
-              "height": null,
-              "justify_content": null,
-              "justify_items": null,
-              "left": null,
-              "margin": null,
-              "max_height": null,
-              "max_width": null,
-              "min_height": null,
-              "min_width": null,
-              "object_fit": null,
-              "object_position": null,
-              "order": null,
-              "overflow": null,
-              "padding": null,
-              "right": null,
-              "top": null,
-              "visibility": null,
-              "width": null
-            }
-          }
-        },
-        "version_major": 2,
-        "version_minor": 0
+       ],
+       "tabbable": null,
+       "tooltip": null
       }
-    }
-  },
-  "nbformat": 4,
-  "nbformat_minor": 2
+     },
+     "626768a3ca834d76b1ab047909789b22": {
+      "model_module": "@jupyter-widgets/base",
+      "model_module_version": "2.0.0",
+      "model_name": "LayoutModel",
+      "state": {
+       "_model_module": "@jupyter-widgets/base",
+       "_model_module_version": "2.0.0",
+       "_model_name": "LayoutModel",
+       "_view_count": null,
+       "_view_module": "@jupyter-widgets/base",
+       "_view_module_version": "2.0.0",
+       "_view_name": "LayoutView",
+       "align_content": null,
+       "align_items": null,
+       "align_self": null,
+       "border_bottom": null,
+       "border_left": null,
+       "border_right": null,
+       "border_top": null,
+       "bottom": null,
+       "display": null,
+       "flex": null,
+       "flex_flow": null,
+       "grid_area": null,
+       "grid_auto_columns": null,
+       "grid_auto_flow": null,
+       "grid_auto_rows": null,
+       "grid_column": null,
+       "grid_gap": null,
+       "grid_row": null,
+       "grid_template_areas": null,
+       "grid_template_columns": null,
+       "grid_template_rows": null,
+       "height": null,
+       "justify_content": null,
+       "justify_items": null,
+       "left": null,
+       "margin": null,
+       "max_height": null,
+       "max_width": null,
+       "min_height": null,
+       "min_width": null,
+       "object_fit": null,
+       "object_position": null,
+       "order": null,
+       "overflow": null,
+       "padding": null,
+       "right": null,
+       "top": null,
+       "visibility": null,
+       "width": null
+      }
+     }
+    },
+    "version_major": 2,
+    "version_minor": 0
+   }
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
 }
diff --git a/docs/source/notebooks/sc_pymc.ipynb b/docs/source/notebooks/sc_pymc.ipynb
index 78a5b92b0..cffd5c17c 100644
--- a/docs/source/notebooks/sc_pymc.ipynb
+++ b/docs/source/notebooks/sc_pymc.ipynb
@@ -27,7 +27,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": null,
    "metadata": {
     "execution": {
      "iopub.execute_input": "2026-02-28T22:15:49.718820Z",
@@ -68,6 +68,13 @@
     "treatment_time = 70"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Considerations"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -95,23 +102,18 @@
        "[Text(0.5, 1.0, 'Pre-treatment correlations')]"
       ]
      },
-     "execution_count": 4,
+     "execution_count": null,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 640x480 with 2 Axes>"
       ]
      },
-     "metadata": {
-      "image/png": {
-       "height": 434,
-       "width": 505
-      }
-     },
+     "metadata": {},
      "output_type": "display_data"
     }
    ],
@@ -132,27 +134,37 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Run the analysis\n",
+    "### Convex Hull Assumption\n",
+    "\n",
+    "The synthetic control method uses non-negative weights that sum to one. This means the synthetic control is a **convex combination** of the control units—it can only produce values within the range spanned by the controls at each time point.\n",
     "\n",
     ":::{note}\n",
-    "The `random_seed` keyword argument for the PyMC sampler is not necessary. We use it here so that the results are reproducible.\n",
-    ":::"
+    "For the method to work well, the treated unit's pre-intervention trajectory should lie within the \"envelope\" of the control units. If all controls are consistently above or below the treated unit, the method cannot construct an accurate counterfactual.\n",
+    ":::\n",
+    "\n",
+    "CausalPy automatically checks this assumption when you create a `SyntheticControl` object and will issue a warning if violated. See the {term}`Convex hull condition` glossary entry and {cite:t}`abadie2010synthetic` for more details. The Augmented Synthetic Control Method {cite:p}`benmichael2021augmented` can handle cases where this assumption is violated."
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### Convex Hull Assumption\n",
+    "### Observation noise prior\n",
     "\n",
-    "The synthetic control method uses non-negative weights that sum to one. This means the synthetic control is a **convex combination** of the control units—it can only produce values within the range spanned by the controls at each time point.\n",
+    "The default `WeightedSumFitter` places a $\\mathrm{HalfNormal}(1)$ prior on the observation noise $\\sigma$. This prior assumes the data is approximately on unit scale. If your outcome variable has values much larger than 1 (e.g., daily revenue in the thousands), the prior will likely severely constrain $\\sigma$, producing confidence intervals that are much too narrow.\n",
     "\n",
-    ":::{note}\n",
-    "For the method to work well, the treated unit's pre-intervention trajectory should lie within the \"envelope\" of the control units. If all controls are consistently above or below the treated unit, the method cannot construct an accurate counterfactual.\n",
-    ":::\n",
+    "By default, `SyntheticControl` automatically rescales this prior to match the scale of the treated-unit data (`auto_scale_sigma=True`). If you need the original `HalfNormal(1)` default, pass `auto_scale_sigma=False`. You can also specify a fully custom prior via the `WeightedSumFitter` `priors` parameter."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Run the analysis\n",
     "\n",
-    "CausalPy automatically checks this assumption when you create a `SyntheticControl` object and will issue a warning if violated. See the {term}`Convex hull condition` glossary entry and {cite:t}`abadie2010synthetic` for more details. The Augmented Synthetic Control Method {cite:p}`benmichael2021augmented` can handle cases where this assumption is violated.\n",
-    "\n"
+    ":::{note}\n",
+    "The `random_seed` keyword argument for the PyMC sampler is not necessary. We use it here so that the results are reproducible.\n",
+    ":::"
    ]
   },
   {
@@ -169,6 +181,16 @@
    "outputs": [
     {
      "data": {
+      "application/vnd.positron.dataexplorer+json": {
+       "comm_id": "845e3908-073f-4ac6-9e86-5f76f69f4b3d",
+       "shape": {
+        "columns": 10,
+        "rows": 5
+       },
+       "source": "pandas",
+       "title": "pandas",
+       "version": 1
+      },
       "text/html": [
        "<div>\n",
        "<style scoped>\n",
@@ -203,68 +225,68 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>0.793234</td>\n",
-       "      <td>1.277264</td>\n",
-       "      <td>-0.055407</td>\n",
-       "      <td>-0.791535</td>\n",
-       "      <td>1.075170</td>\n",
-       "      <td>0.817384</td>\n",
-       "      <td>-2.607528</td>\n",
-       "      <td>0.144888</td>\n",
+       "      <td>0.806091</td>\n",
+       "      <td>-0.271100</td>\n",
+       "      <td>0.664254</td>\n",
+       "      <td>1.705922</td>\n",
+       "      <td>-1.449230</td>\n",
+       "      <td>0.785439</td>\n",
+       "      <td>-1.234083</td>\n",
+       "      <td>-0.232966</td>\n",
        "      <td>-0.0</td>\n",
-       "      <td>0.398287</td>\n",
+       "      <td>-0.076404</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>1.841898</td>\n",
-       "      <td>1.185068</td>\n",
-       "      <td>-0.221424</td>\n",
-       "      <td>-1.430772</td>\n",
-       "      <td>1.078303</td>\n",
-       "      <td>0.890110</td>\n",
-       "      <td>-3.108099</td>\n",
-       "      <td>0.601862</td>\n",
+       "      <td>1.442677</td>\n",
+       "      <td>0.462594</td>\n",
+       "      <td>0.559940</td>\n",
+       "      <td>1.862041</td>\n",
+       "      <td>-1.615366</td>\n",
+       "      <td>0.386238</td>\n",
+       "      <td>-1.798470</td>\n",
+       "      <td>-0.069413</td>\n",
        "      <td>-0.0</td>\n",
-       "      <td>0.491644</td>\n",
+       "      <td>-0.063946</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>2.867102</td>\n",
-       "      <td>1.922957</td>\n",
-       "      <td>-0.153303</td>\n",
-       "      <td>-1.429027</td>\n",
-       "      <td>1.432057</td>\n",
-       "      <td>1.455499</td>\n",
-       "      <td>-3.149104</td>\n",
-       "      <td>1.060285</td>\n",
+       "      <td>1.916486</td>\n",
+       "      <td>0.845719</td>\n",
+       "      <td>0.894046</td>\n",
+       "      <td>2.061073</td>\n",
+       "      <td>-1.978696</td>\n",
+       "      <td>0.971803</td>\n",
+       "      <td>-0.490287</td>\n",
+       "      <td>0.095440</td>\n",
        "      <td>-0.0</td>\n",
-       "      <td>1.232330</td>\n",
+       "      <td>0.392813</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>2.816255</td>\n",
-       "      <td>2.424558</td>\n",
-       "      <td>0.252894</td>\n",
-       "      <td>-1.260527</td>\n",
-       "      <td>1.938960</td>\n",
-       "      <td>2.088586</td>\n",
-       "      <td>-3.563201</td>\n",
-       "      <td>1.520801</td>\n",
+       "      <td>2.001511</td>\n",
+       "      <td>1.067162</td>\n",
+       "      <td>0.288606</td>\n",
+       "      <td>1.934534</td>\n",
+       "      <td>-2.093951</td>\n",
+       "      <td>1.889334</td>\n",
+       "      <td>-0.478545</td>\n",
+       "      <td>0.261716</td>\n",
        "      <td>-0.0</td>\n",
-       "      <td>1.672995</td>\n",
+       "      <td>0.133106</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>3.865208</td>\n",
-       "      <td>2.358650</td>\n",
-       "      <td>0.311572</td>\n",
-       "      <td>-2.393438</td>\n",
-       "      <td>1.977716</td>\n",
-       "      <td>2.752152</td>\n",
-       "      <td>-3.515991</td>\n",
-       "      <td>1.983661</td>\n",
+       "      <td>2.662849</td>\n",
+       "      <td>1.243252</td>\n",
+       "      <td>0.966345</td>\n",
+       "      <td>2.482698</td>\n",
+       "      <td>-1.407598</td>\n",
+       "      <td>2.184504</td>\n",
+       "      <td>-0.434592</td>\n",
+       "      <td>0.429432</td>\n",
        "      <td>-0.0</td>\n",
-       "      <td>1.775940</td>\n",
+       "      <td>0.293294</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -272,21 +294,21 @@
       ],
       "text/plain": [
        "          a         b         c         d         e         f         g  \\\n",
-       "0  0.793234  1.277264 -0.055407 -0.791535  1.075170  0.817384 -2.607528   \n",
-       "1  1.841898  1.185068 -0.221424 -1.430772  1.078303  0.890110 -3.108099   \n",
-       "2  2.867102  1.922957 -0.153303 -1.429027  1.432057  1.455499 -3.149104   \n",
-       "3  2.816255  2.424558  0.252894 -1.260527  1.938960  2.088586 -3.563201   \n",
-       "4  3.865208  2.358650  0.311572 -2.393438  1.977716  2.752152 -3.515991   \n",
+       "0  0.806091 -0.271100  0.664254  1.705922 -1.449230  0.785439 -1.234083   \n",
+       "1  1.442677  0.462594  0.559940  1.862041 -1.615366  0.386238 -1.798470   \n",
+       "2  1.916486  0.845719  0.894046  2.061073 -1.978696  0.971803 -0.490287   \n",
+       "3  2.001511  1.067162  0.288606  1.934534 -2.093951  1.889334 -0.478545   \n",
+       "4  2.662849  1.243252  0.966345  2.482698 -1.407598  2.184504 -0.434592   \n",
        "\n",
        "   counterfactual  causal effect    actual  \n",
-       "0        0.144888           -0.0  0.398287  \n",
-       "1        0.601862           -0.0  0.491644  \n",
-       "2        1.060285           -0.0  1.232330  \n",
-       "3        1.520801           -0.0  1.672995  \n",
-       "4        1.983661           -0.0  1.775940  "
+       "0       -0.232966           -0.0 -0.076404  \n",
+       "1       -0.069413           -0.0 -0.063946  \n",
+       "2        0.095440           -0.0  0.392813  \n",
+       "3        0.261716           -0.0  0.133106  \n",
+       "4        0.429432           -0.0  0.293294  "
       ]
      },
-     "execution_count": 5,
+     "execution_count": null,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -316,38 +338,1993 @@
      "text": [
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (4 chains in 4 jobs)\n",
-      "NUTS: [beta, y_hat_sigma]\n"
-     ]
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "d52693d19f99452d925c063267ec379a",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 7 seconds.\n",
+      "NUTS: [beta, y_hat_sigma]\n",
+      "\u001b[?25l                                                                                \n",
+      " \u001b[1m          \u001b[0m \u001b[1m      \u001b[0m \u001b[1m          \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep    \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m       \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgress\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverge…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize    \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemain…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   0      0         0.000     0          0.00      0:00:00   -:--:--   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   0      0         0.000     0          0.00      0:00:00   -:--:--   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   0      0         0.000     0          0.00      0:00:00   -:--:--   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   0      0         0.000     0          0.00      0:00:00   -:--:--   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   0      0         0.000     0          0.00      0:00:00   -:--:--   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   0      0         0.000     0          0.00      0:00:00   -:--:--   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   0      0         0.000     0          0.00      0:00:00   -:--:--   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   0      0         0.000     0          0.00      0:00:00   -:--:--   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   0      0         0.000     0          0.00      0:00:00   -:--:--   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   0      0         0.000     0          0.00      0:00:00   -:--:--   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   16     0         0.004     47         162.34    0:00:00   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   18     0         0.007     127        180.81    0:00:00   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   21     0         0.006     63         230.15    0:00:00   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   16     0         0.009     31         171.72    0:00:00   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   30     0         0.011     47         145.95    0:00:00   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   42     0         0.005     191        201.96    0:00:00   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   43     0         0.005     255        207.57    0:00:00   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   28     0         0.006     255        144.03    0:00:00   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   39     0         0.006     63         126.77    0:00:00   0:00:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   53     0         0.011     255        169.39    0:00:00   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   58     0         0.010     31         182.39    0:00:00   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   38     0         0.004     255        121.32    0:00:00   0:00:17   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   57     0         0.012     255        131.71    0:00:00   0:00:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   65     0         0.008     31         153.00    0:00:00   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   69     0         0.007     255        163.76    0:00:00   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   52     0         0.008     159        124.06    0:00:00   0:00:16   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   68     0         0.007     127        125.75    0:00:00   0:00:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   88     0         0.005     255        164.26    0:00:00   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   88     0         0.010     31         162.64    0:00:00   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   73     0         0.008     31         135.78    0:00:00   0:00:15   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   82     0         0.010     159        127.78    0:00:00   0:00:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   106    0         0.011     127        162.42    0:00:00   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   105    0         0.011     127        164.12    0:00:00   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   89     0         0.009     255        138.09    0:00:00   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   105    0         0.014     191        137.84    0:00:00   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   118    0         0.026     103        156.57    0:00:00   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   115    0         0.023     127        151.96    0:00:00   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   105    0         0.009     255        140.24    0:00:00   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   118    0         0.020     127        135.09    0:00:00   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   137    0         0.045     127        156.70    0:00:00   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   133    0         0.020     159        152.56    0:00:00   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   117    0         0.018     159        135.08    0:00:00   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   130    0         0.017     191        132.88    0:00:00   0:00:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   161    0         0.023     191        164.60    0:00:00   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   150    0         0.021     191        153.07    0:00:00   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   136    0         0.018     255        139.65    0:00:00   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   145    0         0.024     127        131.94    0:00:01   0:00:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   179    0         0.030     63         163.28    0:00:01   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   166    0         0.025     191        152.16    0:00:01   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   155    0         0.028     31         141.98    0:00:01   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   155    0         0.021     47         129.04    0:00:01   0:00:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   197    0         0.034     127        163.23    0:00:01   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   183    0         0.017     55         152.32    0:00:01   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   171    0         0.019     127        142.43    0:00:01   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   170    0         0.026     63         129.85    0:00:01   0:00:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   214    0         0.016     111        162.29    0:00:01   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   196    0         0.015     159        149.75    0:00:01   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   189    0         0.026     31         143.87    0:00:01   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   189    0         0.023     255        132.02    0:00:01   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   224    0         0.020     127        156.42    0:00:01   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   206    0         0.015     255        144.38    0:00:01   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   204    0         0.027     191        143.67    0:00:01   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   201    0         0.026     127        130.72    0:00:01   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   235    0         0.022     127        152.61    0:00:01   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   217    0         0.020     511        140.57    0:00:01   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   224    0         0.030     63         145.31    0:00:01   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   213    0         0.022     159        129.02    0:00:01   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   255    0         0.024     127        153.83    0:00:01   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   229    0         0.028     63         138.57    0:00:01   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   235    0         0.022     255        143.11    0:00:01   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   226    0         0.025     127        127.99    0:00:01   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   271    0         0.017     95         153.59    0:00:01   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   242    0         0.026     63         137.86    0:00:01   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   249    0         0.033     127        141.52    0:00:01   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   243    0         0.029     127        129.24    0:00:01   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   290    0         0.022     31         154.07    0:00:01   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   257    0         0.019     63         137.30    0:00:01   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   265    0         0.021     127        141.17    0:00:01   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   255    0         0.029     127        128.05    0:00:01   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   306    0         0.023     63         153.87    0:00:01   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   270    0         0.019     127        135.75    0:00:01   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   278    0         0.032     255        140.11    0:00:01   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   269    0         0.027     127        128.45    0:00:02   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   322    0         0.020     191        153.31    0:00:02   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   290    0         0.027     63         138.13    0:00:02   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   292    0         0.029     255        139.33    0:00:02   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   285    0         0.019     63         129.00    0:00:02   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   335    0         0.023     63         151.78    0:00:02   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   306    0         0.026     127        138.55    0:00:02   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   302    0         0.028     223        137.27    0:00:02   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   298    0         0.023     31         128.40    0:00:02   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   349    0         0.028     127        150.98    0:00:02   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   319    0         0.025     255        138.08    0:00:02   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   315    0         0.023     127        136.04    0:00:02   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   310    0         0.031     255        127.92    0:00:02   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   366    0         0.023     127        150.72    0:00:02   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   338    0         0.031     191        139.43    0:00:02   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   331    0         0.032     95         136.64    0:00:02   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   317    0         0.016     511        124.83    0:00:02   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   376    0         0.017     255        148.41    0:00:02   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   344    0         0.017     511        135.87    0:00:02   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   345    0         0.033     127        136.22    0:00:02   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   327    0         0.020     255        124.44    0:00:02   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   389    0         0.021     31         147.49    0:00:02   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   353    0         0.019     127        133.80    0:00:02   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   360    0         0.025     191        136.54    0:00:02   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   339    0         0.017     511        123.61    0:00:02   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   401    0         0.021     255        145.93    0:00:02   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   365    0         0.022     255        132.69    0:00:02   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   378    0         0.023     127        137.53    0:00:02   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   355    0         0.023     127        123.70    0:00:02   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   415    0         0.027     63         144.80    0:00:02   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   384    0         0.027     127        134.13    0:00:02   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   397    0         0.024     127        138.98    0:00:02   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   371    0         0.025     255        124.45    0:00:02   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   430    0         0.029     63         144.35    0:00:02   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   398    0         0.017     255        133.84    0:00:02   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   417    0         0.029     63         140.15    0:00:02   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   388    0         0.022     127        125.53    0:00:03   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   446    0         0.025     255        144.47    0:00:03   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   411    0         0.023     127        133.14    0:00:03   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   435    0         0.022     255        140.97    0:00:03   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   401    0         0.018     191        125.48    0:00:03   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   462    0         0.024     255        144.61    0:00:03   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   427    0         0.018     255        133.64    0:00:03   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   455    0         0.021     63         142.54    0:00:03   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   414    0         0.016     255        125.23    0:00:03   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   477    0         0.017     63         144.14    0:00:03   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   441    0         0.016     127        133.48    0:00:03   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   471    0         0.021     383        142.68    0:00:03   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   426    0         0.023     127        124.69    0:00:03   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   491    0         0.022     15         143.75    0:00:03   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   454    0         0.021     511        132.80    0:00:03   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   490    0         0.030     127        143.38    0:00:03   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   442    0         0.020     255        125.45    0:00:03   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   503    0         0.017     63         142.56    0:00:03   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   466    0         0.021     127        132.07    0:00:03   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   508    0         0.023     63         144.39    0:00:03   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   453    0         0.018     127        124.53    0:00:03   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   517    0         0.014     63         142.09    0:00:03   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   479    0         0.020     31         131.82    0:00:03   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   518    0         0.021     31         142.78    0:00:03   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   472    0         0.017     63         125.91    0:00:03   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   530    0         0.017     255        141.37    0:00:03   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   491    0         0.021     159        131.10    0:00:03   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   531    0         0.023     63         142.11    0:00:03   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   485    0         0.017     119        125.56    0:00:03   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   544    0         0.019     191        140.86    0:00:03   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   505    0         0.026     255        130.94    0:00:03   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   542    0         0.018     31         141.04    0:00:03   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   500    0         0.019     127        126.18    0:00:03   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   563    0         0.016     127        141.76    0:00:03   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   515    0         0.019     127        129.85    0:00:03   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   553    0         0.017     255        139.52    0:00:03   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   514    0         0.026     63         125.85    0:00:04   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   576    0         0.020     71         141.20    0:00:04   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   528    0         0.021     127        129.41    0:00:04   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   567    0         0.015     127        139.27    0:00:04   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   523    0         0.024     319        124.89    0:00:04   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   593    0         0.020     127        141.51    0:00:04   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   539    0         0.024     191        128.89    0:00:04   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   581    0         0.016     127        138.68    0:00:04   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   538    0         0.032     159        125.08    0:00:04   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   609    0         0.022     31         141.35    0:00:04   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   552    0         0.019     159        128.26    0:00:04   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   597    0         0.017     255        138.76    0:00:04   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   557    0         0.024     31         126.40    0:00:04   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   626    0         0.025     127        141.79    0:00:04   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   566    0         0.021     127        128.34    0:00:04   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   607    0         0.015     255        137.66    0:00:04   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   571    0         0.025     127        126.19    0:00:04   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   639    0         0.025     191        141.21    0:00:04   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   582    0         0.024     127        128.74    0:00:04   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   624    0         0.013     31         138.06    0:00:04   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   585    0         0.024     127        126.10    0:00:04   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   655    0         0.026     31         141.14    0:00:04   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   593    0         0.024     319        128.05    0:00:04   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   634    0         0.017     255        136.97    0:00:04   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   598    0         0.027     127        125.68    0:00:04   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   670    0         0.030     63         140.87    0:00:04   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   608    0         0.022     63         128.00    0:00:04   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   648    0         0.016     255        136.57    0:00:04   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   610    0         0.023     127        125.40    0:00:04   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   688    0         0.021     63         141.53    0:00:04   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   623    0         0.017     83         128.27    0:00:04   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   663    0         0.020     95         136.66    0:00:04   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   623    0         0.016     511        125.50    0:00:04   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   704    0         0.020     255        141.63    0:00:04   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   636    0         0.018     159        127.96    0:00:04   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   673    0         0.019     127        135.73    0:00:04   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   636    0         0.022     255        125.05    0:00:05   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   722    0         0.022     255        142.32    0:00:05   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   647    0         0.019     151        127.31    0:00:05   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   688    0         0.017     127        135.55    0:00:05   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   652    0         0.024     31         125.41    0:00:05   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   735    0         0.021     255        141.50    0:00:05   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   664    0         0.021     127        127.78    0:00:05   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   699    0         0.020     127        134.60    0:00:05   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   666    0         0.025     255        125.34    0:00:05   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   749    0         0.019     255        141.07    0:00:05   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   679    0         0.023     127        128.03    0:00:05   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   711    0         0.019     255        134.01    0:00:05   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   683    0         0.025     63         125.99    0:00:05   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   758    0         0.017     23         140.20    0:00:05   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   699    0         0.020     127        128.94    0:00:05   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   723    0         0.016     255        133.37    0:00:05   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   697    0         0.020     255        125.90    0:00:05   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   770    0         0.014     255        139.15    0:00:05   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   709    0         0.020     255        128.17    0:00:05   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   735    0         0.017     255        132.93    0:00:05   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   706    0         0.022     127        125.19    0:00:05   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   779    0         0.018     255        138.09    0:00:05   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   720    0         0.017     255        127.66    0:00:05   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   747    0         0.017     255        132.46    0:00:05   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   721    0         0.024     127        125.09    0:00:05   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   794    0         0.015     127        137.93    0:00:05   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   734    0         0.021     255        127.63    0:00:05   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   760    0         0.016     47         132.18    0:00:05   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   736    0         0.020     175        125.40    0:00:05   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   803    0         0.017     511        136.99    0:00:05   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   749    0         0.016     255        127.63    0:00:05   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   769    0         0.016     255        131.01    0:00:05   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   754    0         0.021     79         125.97    0:00:05   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   810    0         0.019     255        135.48    0:00:05   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   761    0         0.020     63         127.31    0:00:05   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   778    0         0.021     95         130.35    0:00:05   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   769    0         0.023     127        126.29    0:00:06   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   824    0         0.023     127        135.40    0:00:06   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   776    0         0.021     127        127.42    0:00:06   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   787    0         0.022     191        129.26    0:00:06   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   785    0         0.019     31         126.48    0:00:06   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   839    0         0.024     255        135.28    0:00:06   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   786    0         0.014     255        126.71    0:00:06   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   799    0         0.024     127        129.05    0:00:06   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   800    0         0.023     63         126.60    0:00:06   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   855    0         0.027     127        135.34    0:00:06   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   794    0         0.017     511        125.69    0:00:06   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   814    0         0.027     127        128.95    0:00:06   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   813    0         0.024     127        126.41    0:00:06   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   869    0         0.027     255        135.26    0:00:06   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   806    0         0.018     63         125.41    0:00:06   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   826    0         0.025     63         128.56    0:00:06   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   827    0         0.016     255        126.69    0:00:06   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   881    0         0.021     63         134.94    0:00:06   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   815    0         0.021     255        124.86    0:00:06   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   840    0         0.018     255        128.55    0:00:06   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   837    0         0.017     127        125.88    0:00:06   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   896    0         0.021     255        134.76    0:00:06   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   826    0         0.022     143        124.33    0:00:06   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   848    0         0.020     255        127.64    0:00:06   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   848    0         0.017     167        125.70    0:00:06   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   907    0         0.024     223        134.20    0:00:06   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   840    0         0.021     127        124.39    0:00:06   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   862    0         0.019     255        127.73    0:00:06   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   858    0         0.019     83         124.84    0:00:06   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   914    0         0.022     31         133.11    0:00:06   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   848    0         0.020     255        123.45    0:00:06   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   870    0         0.013     127        126.72    0:00:06   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   871    0         0.016     255        124.72    0:00:06   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   926    0         0.024     127        132.67    0:00:06   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   857    0         0.023     255        122.71    0:00:06   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   878    0         0.015     127        125.75    0:00:06   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   885    0         0.017     127        124.68    0:00:07   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   939    0         0.026     255        132.32    0:00:07   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   874    0         0.021     255        123.33    0:00:07   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   884    0         0.015     383        124.68    0:00:07   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   898    0         0.019     63         124.71    0:00:07   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   957    0         0.024     127        132.80    0:00:07   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   889    0         0.021     127        123.36    0:00:07   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   893    0         0.019     319        124.07    0:00:07   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   909    0         0.018     255        124.21    0:00:07   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   970    0         0.025     127        132.55    0:00:07   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   902    0         0.025     255        123.29    0:00:07   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   903    0         0.019     255        123.54    0:00:07   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   919    0         0.015     63         123.76    0:00:07   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   984    0         0.023     127        132.49    0:00:07   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   917    0         0.028     31         123.53    0:00:07   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   914    0         0.019     63         123.19    0:00:07   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   935    0         0.019     255        123.90    0:00:07   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   993    0         0.025     255        131.76    0:00:07   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   937    0         0.026     127        124.23    0:00:07   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   931    0         0.023     127        123.60    0:00:07   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   946    0         0.020     255        123.66    0:00:07   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1004   0         0.027     255        131.31    0:00:07   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   955    0         0.028     63         124.91    0:00:07   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   943    0         0.020     255        123.36    0:00:07   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   960    0         0.021     191        123.75    0:00:07   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1015   0         0.027     255        130.89    0:00:07   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   969    0         0.026     63         125.12    0:00:07   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   955    0         0.024     255        123.29    0:00:07   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   973    0         0.020     127        123.73    0:00:07   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1027   0         0.027     191        130.68    0:00:07   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   989    0         0.029     31         125.84    0:00:07   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   968    0         0.020     255        123.22    0:00:07   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   984    0         0.014     271        123.47    0:00:07   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1041   0         0.027     15         130.65    0:00:07   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1002   0         0.024     511        125.90    0:00:07   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   977    0         0.024     63         122.66    0:00:07   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   995    0         0.018     511        123.09    0:00:08   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1054   0         0.027     63         130.38    0:00:08   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1013   0         0.024     255        125.49    0:00:08   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   994    0         0.027     255        123.02    0:00:08   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1012   0         0.021     31         123.53    0:00:08   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1067   0         0.027     255        130.30    0:00:08   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1024   0         0.024     127        125.14    0:00:08   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1008   0         0.025     319        123.18    0:00:08   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1025   0         0.021     95         123.52    0:00:08   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1080   0         0.027     127        130.12    0:00:08   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1040   0         0.024     63         125.29    0:00:08   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1023   0         0.025     31         123.33    0:00:08   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1039   0         0.021     255        123.43    0:00:08   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1094   0         0.027     159        130.12    0:00:08   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1056   0         0.024     63         125.62    0:00:08   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1039   0         0.025     255        123.59    0:00:08   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1051   0         0.021     191        123.35    0:00:08   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1112   0         0.027     31         130.57    0:00:08   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1071   0         0.024     255        125.79    0:00:08   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1053   0         0.025     255        123.63    0:00:08   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1062   0         0.021     255        122.98    0:00:08   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1125   0         0.027     255        130.26    0:00:08   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1084   0         0.024     255        125.56    0:00:08   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1067   0         0.025     255        123.63    0:00:08   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1079   0         0.021     63         123.26    0:00:08   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1143   0         0.027     255        130.63    0:00:08   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1096   0         0.024     127        125.37    0:00:08   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1081   0         0.025     63         123.59    0:00:08   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1088   0         0.021     31         122.75    0:00:08   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1153   0         0.027     63         130.08    0:00:08   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1106   0         0.024     127        124.76    0:00:08   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1088   0         0.025     255        122.89    0:00:08   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1106   0         0.021     95         123.22    0:00:08   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1168   0         0.027     127        130.41    0:00:08   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1120   0         0.024     191        124.84    0:00:08   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1100   0         0.025     255        122.67    0:00:08   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1118   0         0.021     127        123.16    0:00:09   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1184   0         0.027     127        130.44    0:00:09   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1134   0         0.024     127        125.05    0:00:09   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1111   0         0.025     255        122.44    0:00:09   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1129   0         0.021     255        122.90    0:00:09   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1197   0         0.027     255        130.27    0:00:09   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1149   0         0.024     7          125.05    0:00:09   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1123   0         0.025     255        122.32    0:00:09   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1143   0         0.021     159        122.90    0:00:09   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1211   0         0.027     255        130.26    0:00:09   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1159   0         0.024     63         124.71    0:00:09   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1137   0         0.025     63         122.34    0:00:09   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1157   0         0.021     127        122.88    0:00:09   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1223   0         0.027     191        129.89    0:00:09   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1177   0         0.024     31         125.11    0:00:09   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1154   0         0.025     63         122.68    0:00:09   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1166   0         0.021     511        122.43    0:00:09   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1243   0         0.027     127        130.47    0:00:09   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1191   0         0.024     63         125.08    0:00:09   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1165   0         0.025     127        122.43    0:00:09   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1176   0         0.021     255        122.03    0:00:09   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1257   0         0.027     127        130.46    0:00:09   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1206   0         0.024     95         125.19    0:00:09   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1175   0         0.025     255        121.99    0:00:09   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1188   0         0.021     255        121.92    0:00:09   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1267   0         0.027     191        129.98    0:00:09   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1220   0         0.024     255        125.24    0:00:09   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1193   0         0.025     127        122.40    0:00:09   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1206   0         0.021     15         122.28    0:00:09   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1278   0         0.027     255        129.67    0:00:09   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1235   0         0.024     95         125.27    0:00:09   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1204   0         0.025     255        122.15    0:00:09   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1218   0         0.021     255        122.10    0:00:09   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1290   0         0.027     159        129.35    0:00:09   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1248   0         0.024     127        125.15    0:00:09   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1218   0         0.025     127        122.18    0:00:09   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1229   0         0.021     255        121.92    0:00:10   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1303   0         0.027     127        129.26    0:00:10   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1265   0         0.024     27         125.52    0:00:10   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1229   0         0.025     127        121.98    0:00:10   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1241   0         0.021     63         121.73    0:00:10   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1318   0         0.027     127        129.29    0:00:10   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1277   0         0.024     239        125.24    0:00:10   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1243   0         0.025     127        121.96    0:00:10   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1253   0         0.021     255        121.53    0:00:10   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1331   0         0.027     239        129.19    0:00:10   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1291   0         0.024     31         125.23    0:00:10   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1259   0         0.025     127        122.21    0:00:10   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1263   0         0.021     255        121.21    0:00:10   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1344   0         0.027     127        128.99    0:00:10   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1303   0         0.024     127        125.05    0:00:10   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1274   0         0.025     127        122.25    0:00:10   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1275   0         0.021     31         121.05    0:00:10   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1359   0         0.027     127        129.01    0:00:10   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1315   0         0.024     191        124.83    0:00:10   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1285   0         0.025     159        122.14    0:00:10   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1284   0         0.021     127        120.60    0:00:10   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1367   0         0.027     127        128.49    0:00:10   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1325   0         0.024     95         124.52    0:00:10   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1294   0         0.025     255        121.61    0:00:10   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1298   0         0.021     255        120.74    0:00:10   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1377   0         0.027     255        128.12    0:00:10   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1338   0         0.024     383        124.49    0:00:10   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1311   0         0.025     215        121.93    0:00:10   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1320   0         0.021     159        121.45    0:00:10   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1386   0         0.027     383        127.56    0:00:10   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1354   0         0.024     127        124.62    0:00:10   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1322   0         0.025     255        121.73    0:00:10   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1334   0         0.021     95         121.63    0:00:10   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1400   0         0.027     255        127.59    0:00:10   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1364   0         0.024     191        124.38    0:00:10   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1335   0         0.025     63         121.70    0:00:10   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1346   0         0.021     127        121.45    0:00:11   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1409   0         0.027     255        127.20    0:00:11   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1376   0         0.024     191        124.36    0:00:11   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1344   0         0.025     127        121.46    0:00:11   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1359   0         0.021     63         121.44    0:00:11   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1418   0         0.027     255        126.76    0:00:11   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1389   0         0.024     15         124.25    0:00:11   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1358   0         0.025     255        121.39    0:00:11   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1373   0         0.021     127        121.43    0:00:11   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1431   0         0.027     127        126.68    0:00:11   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1399   0         0.024     127        123.82    0:00:11   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1374   0         0.025     63         121.58    0:00:11   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1388   0         0.021     127        121.51    0:00:11   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1446   0         0.027     255        126.66    0:00:11   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1413   0         0.024     255        123.77    0:00:11   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1388   0         0.025     127        121.58    0:00:11   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1400   0         0.021     127        121.40    0:00:11   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1460   0         0.027     127        126.59    0:00:11   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1424   0         0.024     127        123.58    0:00:11   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1399   0         0.025     511        121.34    0:00:11   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1414   0         0.021     127        121.54    0:00:11   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1473   0         0.027     255        126.49    0:00:11   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1436   0         0.024     255        123.41    0:00:11   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1408   0         0.025     127        120.99    0:00:11   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1427   0         0.021     63         121.35    0:00:11   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1482   0         0.027     231        126.11    0:00:11   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1447   0         0.024     255        123.17    0:00:11   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1420   0         0.025     191        120.85    0:00:11   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1441   0         0.021     127        121.43    0:00:11   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1497   0         0.027     191        126.19    0:00:11   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1466   0         0.024     63         123.55    0:00:11   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1436   0         0.025     159        121.10    0:00:11   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1450   0         0.021     127        121.13    0:00:11   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1510   0         0.027     255        126.07    0:00:11   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1482   0         0.024     31         123.76    0:00:11   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1448   0         0.025     255        121.04    0:00:11   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1460   0         0.021     223        120.81    0:00:12   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1517   0         0.027     127        125.59    0:00:12   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1491   0         0.024     127        123.51    0:00:12   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1454   0         0.025     63         120.38    0:00:12   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1471   0         0.021     255        120.68    0:00:12   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1530   0         0.027     191        125.47    0:00:12   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1506   0         0.024     63         123.52    0:00:12   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1468   0         0.025     63         120.44    0:00:12   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1481   0         0.021     255        120.41    0:00:12   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1551   0         0.027     95         126.08    0:00:12   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1516   0         0.024     95         123.24    0:00:12   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1480   0         0.025     71         120.39    0:00:12   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1491   0         0.021     127        120.14    0:00:12   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1561   0         0.027     63         125.76    0:00:12   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1532   0         0.024     71         123.44    0:00:12   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1489   0         0.025     31         120.09    0:00:12   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1502   0         0.021     127        119.98    0:00:12   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1577   0         0.027     63         125.91    0:00:12   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1546   0         0.024     63         123.49    0:00:12   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1502   0         0.025     127        120.06    0:00:12   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1518   0         0.021     255        120.13    0:00:12   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1588   0         0.027     255        125.72    0:00:12   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1560   0         0.024     255        123.54    0:00:12   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1516   0         0.025     143        120.05    0:00:12   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1530   0         0.021     159        120.08    0:00:12   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1596   0         0.027     255        125.33    0:00:12   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1574   0         0.024     159        123.55    0:00:12   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1528   0         0.025     127        119.93    0:00:12   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1544   0         0.021     31         120.10    0:00:12   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1613   0         0.027     31         125.50    0:00:12   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1587   0         0.024     255        123.48    0:00:12   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1542   0         0.025     127        120.01    0:00:12   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1555   0         0.021     63         119.95    0:00:12   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1626   0         0.027     127        125.44    0:00:12   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1599   0         0.024     111        123.37    0:00:12   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1556   0         0.025     255        120.09    0:00:12   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1568   0         0.021     191        119.99    0:00:13   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1638   0         0.027     119        125.37    0:00:13   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1612   0         0.024     127        123.43    0:00:13   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1568   0         0.025     95         120.01    0:00:13   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1575   0         0.021     255        119.70    0:00:13   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1653   0         0.027     31         125.52    0:00:13   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1626   0         0.024     191        123.46    0:00:13   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1577   0         0.025     255        119.80    0:00:13   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1586   0         0.021     127        119.35    0:00:13   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1664   0         0.027     511        125.26    0:00:13   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1644   0         0.024     63         123.76    0:00:13   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1592   0         0.025     255        119.96    0:00:13   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1595   0         0.021     127        119.16    0:00:13   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1673   0         0.027     255        124.92    0:00:13   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1659   0         0.024     75         123.88    0:00:13   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1601   0         0.025     63         119.60    0:00:13   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1601   0         0.021     31         118.65    0:00:13   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1682   0         0.027     63         124.55    0:00:13   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1665   0         0.024     127        123.35    0:00:13   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1607   0         0.025     63         119.06    0:00:13   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1611   0         0.021     63         118.39    0:00:13   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1695   0         0.027     127        124.59    0:00:13   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1679   0         0.024     255        123.38    0:00:13   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1619   0         0.025     127        118.99    0:00:13   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1625   0         0.021     127        118.41    0:00:13   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1709   0         0.027     95         124.53    0:00:13   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1686   0         0.024     127        122.97    0:00:13   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1632   0         0.025     127        118.94    0:00:13   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1633   0         0.021     23         118.10    0:00:13   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1719   0         0.027     383        124.30    0:00:13   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1694   0         0.024     255        122.55    0:00:13   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1641   0         0.025     127        118.64    0:00:13   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1642   0         0.021     255        117.78    0:00:13   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1730   0         0.027     191        124.13    0:00:13   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1700   0         0.024     63         122.04    0:00:13   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1649   0         0.025     255        118.37    0:00:13   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1650   0         0.021     127        117.50    0:00:14   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1740   0         0.027     223        123.82    0:00:14   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1709   0         0.024     143        121.68    0:00:14   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1659   0         0.025     63         118.15    0:00:14   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1660   0         0.021     127        117.26    0:00:14   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1748   0         0.027     255        123.51    0:00:14   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1722   0         0.024     127        121.63    0:00:14   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1672   0         0.025     111        118.14    0:00:14   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1671   0         0.021     255        117.09    0:00:14   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1763   0         0.027     191        123.56    0:00:14   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1733   0         0.024     63         121.46    0:00:14   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1684   0         0.025     255        118.10    0:00:14   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1678   0         0.021     383        116.77    0:00:14   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1771   0         0.027     319        123.17    0:00:14   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1741   0         0.024     127        121.29    0:00:14   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1690   0         0.025     511        117.62    0:00:14   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1686   0         0.021     255        116.35    0:00:14   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1782   0         0.027     127        122.99    0:00:14   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1749   0         0.024     127        120.73    0:00:14   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1700   0         0.025     71         117.48    0:00:14   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1696   0         0.021     191        116.16    0:00:14   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1794   0         0.027     255        122.81    0:00:14   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1762   0         0.024     255        120.65    0:00:14   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1712   0         0.025     191        117.32    0:00:14   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1702   0         0.021     191        115.93    0:00:14   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1801   0         0.027     127        122.73    0:00:14   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1768   0         0.024     255        120.45    0:00:14   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1718   0         0.025     239        116.76    0:00:14   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1712   0         0.021     255        115.36    0:00:14   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1815   0         0.027     255        122.32    0:00:14   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1779   0         0.024     127        120.04    0:00:14   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1729   0         0.025     255        116.53    0:00:14   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1723   0         0.021     127        115.25    0:00:14   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1827   0         0.027     31         122.21    0:00:14   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1790   0         0.024     255        119.78    0:00:14   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1741   0         0.025     63         116.56    0:00:14   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1734   0         0.021     31         115.13    0:00:15   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1840   0         0.027     127        122.18    0:00:15   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1805   0         0.024     191        119.86    0:00:15   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1758   0         0.025     63         116.81    0:00:15   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1745   0         0.021     63         115.02    0:00:15   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1850   0         0.027     351        121.96    0:00:15   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1816   0         0.024     127        119.81    0:00:15   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1768   0         0.025     63         116.57    0:00:15   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1758   0         0.021     31         115.04    0:00:15   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1861   0         0.027     127        121.87    0:00:15   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1828   0         0.024     95         119.65    0:00:15   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1775   0         0.025     255        116.22    0:00:15   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1771   0         0.021     95         115.08    0:00:15   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1873   0         0.027     255        121.79    0:00:15   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1842   0         0.024     255        119.71    0:00:15   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1781   0         0.025     511        115.82    0:00:15   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1783   0         0.021     255        115.10    0:00:15   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1883   0         0.027     255        121.47    0:00:15   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1854   0         0.024     255        119.64    0:00:15   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1788   0         0.025     215        115.38    0:00:15   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1796   0         0.021     255        115.08    0:00:15   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1895   0         0.027     95         121.49    0:00:15   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1863   0         0.024     255        119.40    0:00:15   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1796   0         0.025     127        115.06    0:00:15   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1809   0         0.021     31         115.09    0:00:15   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1905   0         0.027     255        121.21    0:00:15   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1872   0         0.024     63         119.18    0:00:15   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1807   0         0.025     255        114.99    0:00:15   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1819   0         0.021     127        114.88    0:00:15   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1913   0         0.027     255        121.13    0:00:15   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1877   0         0.024     255        118.86    0:00:15   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1814   0         0.025     127        114.94    0:00:15   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1831   0         0.021     127        114.76    0:00:15   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1927   0         0.027     127        120.79    0:00:15   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1893   0         0.024     63         118.69    0:00:15   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1828   0         0.025     255        114.59    0:00:15   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1842   0         0.021     255        114.67    0:00:16   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1938   0         0.027     127        120.68    0:00:16   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1910   0         0.024     63         118.96    0:00:16   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1837   0         0.025     127        114.42    0:00:16   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1852   0         0.021     63         114.46    0:00:16   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1947   0         0.027     191        120.46    0:00:16   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1926   0         0.024     63         119.07    0:00:16   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1848   0         0.025     255        114.25    0:00:16   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1863   0         0.021     319        114.42    0:00:16   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1959   0         0.027     127        120.27    0:00:16   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1940   0         0.024     127        119.11    0:00:16   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1859   0         0.025     127        114.15    0:00:16   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1873   0         0.021     255        114.19    0:00:16   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1970   0         0.027     255        120.13    0:00:16   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1952   0         0.024     63         119.04    0:00:16   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1871   0         0.025     31         114.11    0:00:16   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1882   0         0.021     255        114.05    0:00:16   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1985   0         0.027     127        120.24    0:00:16   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1965   0         0.024     127        119.05    0:00:16   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1880   0         0.025     63         114.01    0:00:16   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1897   0         0.021     95         114.16    0:00:16   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1997   0         0.027     255        120.19    0:00:16   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1977   0         0.024     95         118.96    0:00:16   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1892   0         0.025     127        113.93    0:00:16   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1904   0         0.021     31         114.32    0:00:16   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━━\u001b[0m   2000   0         0.027     127        120.07    0:00:16   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1979   0         0.024     255        118.92    0:00:16   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1896   0         0.025     23         113.87    0:00:16   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1912   0         0.021     255        114.25    0:00:16   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━━\u001b[0m   2000   0         0.027     127        120.07    0:00:16   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1988   0         0.024     255        118.86    0:00:16   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1907   0         0.025     63         113.99    0:00:16   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1921   0         0.021     127        114.27    0:00:16   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━━\u001b[0m   2000   0         0.027     127        120.07    0:00:16   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1994   0         0.024     223        118.63    0:00:16   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1917   0         0.025     207        113.82    0:00:16   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1927   0         0.021     127        114.12    0:00:16   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━━\u001b[0m   2000   0         0.027     127        120.07    0:00:16   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━━\u001b[0m   2000   0         0.024     63         118.40    0:00:16   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1923   0         0.025     127        113.93    0:00:16   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1936   0         0.021     255        114.11    0:00:16   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━━\u001b[0m   2000   0         0.027     127        120.07    0:00:16   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━━\u001b[0m   2000   0         0.024     63         118.40    0:00:16   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1935   0         0.025     127        114.08    0:00:16   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1949   0         0.021     127        114.14    0:00:17   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━━\u001b[0m   2000   0         0.027     127        120.07    0:00:16   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━━\u001b[0m   2000   0         0.024     63         118.40    0:00:16   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1951   0         0.025     63         114.36    0:00:17   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1967   0         0.021     127        114.47    0:00:17   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━━\u001b[0m   2000   0         0.027     127        120.07    0:00:16   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━━\u001b[0m   2000   0         0.024     63         118.40    0:00:16   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1966   0         0.025     255        114.47    0:00:17   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1985   0         0.021     75         114.80    0:00:17   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━━\u001b[0m   2000   0         0.027     127        120.07    0:00:16   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━━\u001b[0m   2000   0         0.024     63         118.40    0:00:16   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1978   0         0.025     79         114.43    0:00:17   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1996   0         0.021     255        114.77    0:00:17   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━━\u001b[0m   2000   0         0.027     127        120.07    0:00:16   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━━\u001b[0m   2000   0         0.024     63         118.40    0:00:16   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1993   0         0.025     127        114.58    0:00:17   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━━\u001b[0m   2000   0         0.021     63         114.78    0:00:17   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━━\u001b[0m   2000   0         0.027     127        120.07    0:00:16   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━━\u001b[0m   2000   0         0.024     63         118.40    0:00:16   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1995   0         0.025     255        114.58    0:00:17   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━━\u001b[0m   2000   0         0.021     63         114.78    0:00:17   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━━\u001b[0m   2000   0         0.027     127        120.07    0:00:16   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━━\u001b[0m   2000   0         0.024     63         118.40    0:00:16   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━━\u001b[0m   2000   0         0.025     31         114.65    0:00:17   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━━\u001b[0m   2000   0         0.021     63         114.78    0:00:17   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━━\u001b[0m   2000   0         0.027     127        120.07    0:00:16   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━━\u001b[0m   2000   0         0.024     63         118.40    0:00:16   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━━\u001b[0m   2000   0         0.025     31         114.65    0:00:17   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "                                                                                \n",
+      "\u001b[?25hSampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 18 seconds.\n",
       "Sampling: [beta, y_hat, y_hat_sigma]\n",
       "Sampling: [y_hat]\n",
       "Sampling: [y_hat]\n",
@@ -382,17 +2359,12 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 700x800 with 3 Axes>"
       ]
      },
-     "metadata": {
-      "image/png": {
-       "height": 811,
-       "width": 711
-      }
-     },
+     "metadata": {},
      "output_type": "display_data"
     }
    ],
@@ -420,15 +2392,15 @@
       "Control units: ['a', 'b', 'c', 'd', 'e', 'f', 'g']\n",
       "Treated unit: actual\n",
       "Model coefficients:\n",
-      "    a            0.34, 94% HDI [0.3, 0.38]\n",
-      "    b            0.049, 94% HDI [0.01, 0.089]\n",
-      "    c            0.3, 94% HDI [0.26, 0.35]\n",
-      "    d            0.054, 94% HDI [0.0092, 0.099]\n",
-      "    e            0.026, 94% HDI [0.0015, 0.068]\n",
-      "    f            0.19, 94% HDI [0.1, 0.26]\n",
-      "    g            0.039, 94% HDI [0.0028, 0.09]\n",
-      "    y_hat_sigma  0.26, 94% HDI [0.22, 0.31]\n",
-      "Pre-treatment correlation (actual): 0.9961\n"
+      "    a            0.054, 94% HDI [0.0021, 0.13]\n",
+      "    b            0.2, 94% HDI [0.14, 0.25]\n",
+      "    c            0.21, 94% HDI [0.12, 0.29]\n",
+      "    d            0.061, 94% HDI [0.0072, 0.13]\n",
+      "    e            0.26, 94% HDI [0.22, 0.29]\n",
+      "    f            0.11, 94% HDI [0.071, 0.15]\n",
+      "    g            0.11, 94% HDI [0.075, 0.15]\n",
+      "    y_hat_sigma  0.25, 94% HDI [0.21, 0.3]\n",
+      "Pre-treatment correlation (actual): 0.9992\n"
      ]
     }
    ],
@@ -457,55 +2429,55 @@
        "            background-color: transparent !important;\n",
        "        }\n",
        "        </style>\n",
-       "        <div id=\"rmxhwvfnpo\" style=\"padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;\">\n",
+       "        <div id=\"dsfcorkeos\" style=\"padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;\">\n",
        "<style>\n",
-       "#rmxhwvfnpo table {\n",
+       "#dsfcorkeos table {\n",
        "          font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, Oxygen, Ubuntu, Cantarell, 'Helvetica Neue', 'Fira Sans', 'Droid Sans', Arial, sans-serif;\n",
        "          -webkit-font-smoothing: antialiased;\n",
        "          -moz-osx-font-smoothing: grayscale;\n",
        "        }\n",
        "\n",
-       "#rmxhwvfnpo thead, tbody, tfoot, tr, td, th { border-style: none; }\n",
+       "#dsfcorkeos thead, tbody, tfoot, tr, td, th { border-style: none; }\n",
        " tr { background-color: transparent; }\n",
-       "#rmxhwvfnpo p { margin: 0; padding: 0; }\n",
-       " #rmxhwvfnpo .gt_table { display: table; border-collapse: collapse; line-height: normal; margin-left: auto; margin-right: auto; color: #333333; font-size: 16px; font-weight: normal; font-style: normal; background-color: #FFFFFF; width: auto; border-top-style: solid; border-top-width: 2px; border-top-color: #A8A8A8; border-right-style: none; border-right-width: 2px; border-right-color: #D3D3D3; border-bottom-style: hidden; border-bottom-width: 2px; border-bottom-color: #A8A8A8; border-left-style: none; border-left-width: 2px; border-left-color: #D3D3D3; }\n",
-       " #rmxhwvfnpo .gt_caption { padding-top: 4px; padding-bottom: 4px; }\n",
-       " #rmxhwvfnpo .gt_title { color: #333333; font-size: 16px; font-weight: initial; padding-top: 6px; padding-bottom: 6px; padding-left: 5px; padding-right: 5px; border-bottom-color: #FFFFFF; border-bottom-width: 0; }\n",
-       " #rmxhwvfnpo .gt_subtitle { color: #333333; font-size: 85%; font-weight: initial; padding-top: 5px; padding-bottom: 7px; padding-left: 5px; padding-right: 5px; border-top-color: #FFFFFF; border-top-width: 0; }\n",
-       " #rmxhwvfnpo .gt_heading { background-color: #FFFFFF; text-align: center; border-bottom-color: #FFFFFF; border-left-style: none; border-left-width: 1px; border-left-color: #D3D3D3; border-right-style: none; border-right-width: 1px; border-right-color: #D3D3D3; }\n",
-       " #rmxhwvfnpo .gt_bottom_border { border-bottom-style: solid; border-bottom-width: 2px; border-bottom-color: #D3D3D3; }\n",
-       " #rmxhwvfnpo .gt_col_headings { border-top-style: solid; border-top-width: 2px; border-top-color: black; border-bottom-style: solid; border-bottom-width: 0.25px; border-bottom-color: black; border-left-style: none; border-left-width: 1px; border-left-color: #D3D3D3; border-right-style: none; border-right-width: 1px; border-right-color: #D3D3D3; }\n",
-       " #rmxhwvfnpo .gt_col_heading { color: #333333; background-color: #FFFFFF; font-size: 16px; font-weight: normal; text-transform: inherit; border-left-style: none; border-left-width: 0px; border-left-color: white; border-right-style: none; border-right-width: 0px; border-right-color: white; vertical-align: bottom; padding-top: 2px; padding-bottom: 7px; padding-left: 5px; padding-right: 5px; overflow-x: hidden; }\n",
-       " #rmxhwvfnpo .gt_column_spanner_outer { color: #333333; background-color: #FFFFFF; font-size: 16px; font-weight: normal; text-transform: inherit; padding-top: 0; padding-bottom: 0; padding-left: 4px; padding-right: 4px; }\n",
-       " #rmxhwvfnpo .gt_column_spanner_outer:first-child { padding-left: 0; }\n",
-       " #rmxhwvfnpo .gt_column_spanner_outer:last-child { padding-right: 0; }\n",
-       " #rmxhwvfnpo .gt_column_spanner { border-bottom-style: solid; border-bottom-width: 0.25px; border-bottom-color: black; vertical-align: bottom; padding-top: 2px; padding-bottom: 2px; overflow-x: hidden; display: inline-block; width: 100%; }\n",
-       " #rmxhwvfnpo .gt_spanner_row { border-bottom-style: hidden; }\n",
-       " #rmxhwvfnpo .gt_group_heading { padding-top: 0px; padding-bottom: 0px; padding-left: 5px; padding-right: 5px; color: #333333; background-color: #FFFFFF; font-size: 0px; font-weight: initial; text-transform: inherit; border-top-style: solid; border-top-width: 0.25px; border-top-color: black; border-bottom-style: solid; border-bottom-width: 0.25px; border-bottom-color: black; border-left-style: none; border-left-width: 1px; border-left-color: white; border-right-style: none; border-right-width: 1px; border-right-color: white; vertical-align: middle; text-align: left; }\n",
-       " #rmxhwvfnpo .gt_empty_group_heading { padding: 0.5px; color: #333333; background-color: #FFFFFF; font-size: 0px; font-weight: initial; border-top-style: solid; border-top-width: 0.25px; border-top-color: black; border-bottom-style: solid; border-bottom-width: 0.25px; border-bottom-color: black; vertical-align: middle; }\n",
-       " #rmxhwvfnpo .gt_from_md> :first-child { margin-top: 0; }\n",
-       " #rmxhwvfnpo .gt_from_md> :last-child { margin-bottom: 0; }\n",
-       " #rmxhwvfnpo .gt_row { padding-top: 2px; padding-bottom: 2px; padding-left: 5px; padding-right: 5px; margin: 10px; border-top-style: none; border-top-width: 1px; border-top-color: #D3D3D3; border-left-style: none; border-left-width: 0px; border-left-color: white; border-right-style: none; border-right-width: 0px; border-right-color: white; vertical-align: middle; overflow-x: hidden; }\n",
-       " #rmxhwvfnpo .gt_stub { color: #333333; background-color: #FFFFFF; font-size: 16px; font-weight: initial; text-transform: inherit; border-right-style: hidden; border-right-width: 2px; border-right-color: #D3D3D3; padding-left: 5px; padding-right: 5px; }\n",
-       " #rmxhwvfnpo .gt_stub_row_group { color: #333333; background-color: #FFFFFF; font-size: 100%; font-weight: initial; text-transform: inherit; border-right-style: solid; border-right-width: 2px; border-right-color: #D3D3D3; padding-left: 5px; padding-right: 5px; vertical-align: top; }\n",
-       " #rmxhwvfnpo .gt_row_group_first td { border-top-width: 0.25px; }\n",
-       " #rmxhwvfnpo .gt_row_group_first th { border-top-width: 0.25px; }\n",
-       " #rmxhwvfnpo .gt_striped { color: #333333; background-color: #F4F4F4; }\n",
-       " #rmxhwvfnpo .gt_table_body { border-top-style: solid; border-top-width: 0px; border-top-color: black; border-bottom-style: solid; border-bottom-width: 2px; border-bottom-color: black; }\n",
-       " #rmxhwvfnpo .gt_grand_summary_row { color: #333333; background-color: #FFFFFF; text-transform: inherit; padding-top: 8px; padding-bottom: 8px; padding-left: 5px; padding-right: 5px; }\n",
-       " #rmxhwvfnpo .gt_first_grand_summary_row_bottom { border-top-style: double; border-top-width: 6px; border-top-color: #D3D3D3; }\n",
-       " #rmxhwvfnpo .gt_last_grand_summary_row_top { border-bottom-style: double; border-bottom-width: 6px; border-bottom-color: #D3D3D3; }\n",
-       " #rmxhwvfnpo .gt_sourcenotes { color: #333333; background-color: #FFFFFF; border-bottom-style: none; border-bottom-width: 2px; border-bottom-color: #D3D3D3; border-left-style: none; border-left-width: 2px; border-left-color: #D3D3D3; border-right-style: none; border-right-width: 2px; border-right-color: #D3D3D3; }\n",
-       " #rmxhwvfnpo .gt_sourcenote { font-size: 10px; padding-top: 4px; padding-bottom: 4px; padding-left: 5px; padding-right: 5px; text-align: left; }\n",
-       " #rmxhwvfnpo .gt_left { text-align: left; }\n",
-       " #rmxhwvfnpo .gt_center { text-align: center; }\n",
-       " #rmxhwvfnpo .gt_right { text-align: right; font-variant-numeric: tabular-nums; }\n",
-       " #rmxhwvfnpo .gt_font_normal { font-weight: normal; }\n",
-       " #rmxhwvfnpo .gt_font_bold { font-weight: bold; }\n",
-       " #rmxhwvfnpo .gt_font_italic { font-style: italic; }\n",
-       " #rmxhwvfnpo .gt_super { font-size: 65%; }\n",
-       " #rmxhwvfnpo .gt_footnote_marks { font-size: 75%; vertical-align: 0.4em; position: initial; }\n",
-       " #rmxhwvfnpo .gt_asterisk { font-size: 100%; vertical-align: 0; }\n",
+       "#dsfcorkeos p { margin: 0; padding: 0; }\n",
+       " #dsfcorkeos .gt_table { display: table; border-collapse: collapse; line-height: normal; margin-left: auto; margin-right: auto; color: #333333; font-size: 16px; font-weight: normal; font-style: normal; background-color: #FFFFFF; width: auto; border-top-style: solid; border-top-width: 2px; border-top-color: #A8A8A8; border-right-style: none; border-right-width: 2px; border-right-color: #D3D3D3; border-bottom-style: hidden; border-bottom-width: 2px; border-bottom-color: #A8A8A8; border-left-style: none; border-left-width: 2px; border-left-color: #D3D3D3; }\n",
+       " #dsfcorkeos .gt_caption { padding-top: 4px; padding-bottom: 4px; }\n",
+       " #dsfcorkeos .gt_title { color: #333333; font-size: 16px; font-weight: initial; padding-top: 6px; padding-bottom: 6px; padding-left: 5px; padding-right: 5px; border-bottom-color: #FFFFFF; border-bottom-width: 0; }\n",
+       " #dsfcorkeos .gt_subtitle { color: #333333; font-size: 85%; font-weight: initial; padding-top: 5px; padding-bottom: 7px; padding-left: 5px; padding-right: 5px; border-top-color: #FFFFFF; border-top-width: 0; }\n",
+       " #dsfcorkeos .gt_heading { background-color: #FFFFFF; text-align: center; border-bottom-color: #FFFFFF; border-left-style: none; border-left-width: 1px; border-left-color: #D3D3D3; border-right-style: none; border-right-width: 1px; border-right-color: #D3D3D3; }\n",
+       " #dsfcorkeos .gt_bottom_border { border-bottom-style: solid; border-bottom-width: 2px; border-bottom-color: #D3D3D3; }\n",
+       " #dsfcorkeos .gt_col_headings { border-top-style: solid; border-top-width: 2px; border-top-color: black; border-bottom-style: solid; border-bottom-width: 0.25px; border-bottom-color: black; border-left-style: none; border-left-width: 1px; border-left-color: #D3D3D3; border-right-style: none; border-right-width: 1px; border-right-color: #D3D3D3; }\n",
+       " #dsfcorkeos .gt_col_heading { color: #333333; background-color: #FFFFFF; font-size: 16px; font-weight: normal; text-transform: inherit; border-left-style: none; border-left-width: 0px; border-left-color: white; border-right-style: none; border-right-width: 0px; border-right-color: white; vertical-align: bottom; padding-top: 2px; padding-bottom: 7px; padding-left: 5px; padding-right: 5px; overflow-x: hidden; }\n",
+       " #dsfcorkeos .gt_column_spanner_outer { color: #333333; background-color: #FFFFFF; font-size: 16px; font-weight: normal; text-transform: inherit; padding-top: 0; padding-bottom: 0; padding-left: 4px; padding-right: 4px; }\n",
+       " #dsfcorkeos .gt_column_spanner_outer:first-child { padding-left: 0; }\n",
+       " #dsfcorkeos .gt_column_spanner_outer:last-child { padding-right: 0; }\n",
+       " #dsfcorkeos .gt_column_spanner { border-bottom-style: solid; border-bottom-width: 0.25px; border-bottom-color: black; vertical-align: bottom; padding-top: 2px; padding-bottom: 2px; overflow-x: hidden; display: inline-block; width: 100%; }\n",
+       " #dsfcorkeos .gt_spanner_row { border-bottom-style: hidden; }\n",
+       " #dsfcorkeos .gt_group_heading { padding-top: 0px; padding-bottom: 0px; padding-left: 5px; padding-right: 5px; color: #333333; background-color: #FFFFFF; font-size: 0px; font-weight: initial; text-transform: inherit; border-top-style: solid; border-top-width: 0.25px; border-top-color: black; border-bottom-style: solid; border-bottom-width: 0.25px; border-bottom-color: black; border-left-style: none; border-left-width: 1px; border-left-color: white; border-right-style: none; border-right-width: 1px; border-right-color: white; vertical-align: middle; text-align: left; }\n",
+       " #dsfcorkeos .gt_empty_group_heading { padding: 0.5px; color: #333333; background-color: #FFFFFF; font-size: 0px; font-weight: initial; border-top-style: solid; border-top-width: 0.25px; border-top-color: black; border-bottom-style: solid; border-bottom-width: 0.25px; border-bottom-color: black; vertical-align: middle; }\n",
+       " #dsfcorkeos .gt_from_md> :first-child { margin-top: 0; }\n",
+       " #dsfcorkeos .gt_from_md> :last-child { margin-bottom: 0; }\n",
+       " #dsfcorkeos .gt_row { padding-top: 2px; padding-bottom: 2px; padding-left: 5px; padding-right: 5px; margin: 10px; border-top-style: none; border-top-width: 1px; border-top-color: #D3D3D3; border-left-style: none; border-left-width: 0px; border-left-color: white; border-right-style: none; border-right-width: 0px; border-right-color: white; vertical-align: middle; overflow-x: hidden; }\n",
+       " #dsfcorkeos .gt_stub { color: #333333; background-color: #FFFFFF; font-size: 16px; font-weight: initial; text-transform: inherit; border-right-style: hidden; border-right-width: 2px; border-right-color: #D3D3D3; padding-left: 5px; padding-right: 5px; }\n",
+       " #dsfcorkeos .gt_stub_row_group { color: #333333; background-color: #FFFFFF; font-size: 100%; font-weight: initial; text-transform: inherit; border-right-style: solid; border-right-width: 2px; border-right-color: #D3D3D3; padding-left: 5px; padding-right: 5px; vertical-align: top; }\n",
+       " #dsfcorkeos .gt_row_group_first td { border-top-width: 0.25px; }\n",
+       " #dsfcorkeos .gt_row_group_first th { border-top-width: 0.25px; }\n",
+       " #dsfcorkeos .gt_striped { color: #333333; background-color: #F4F4F4; }\n",
+       " #dsfcorkeos .gt_table_body { border-top-style: solid; border-top-width: 0px; border-top-color: black; border-bottom-style: solid; border-bottom-width: 2px; border-bottom-color: black; }\n",
+       " #dsfcorkeos .gt_grand_summary_row { color: #333333; background-color: #FFFFFF; text-transform: inherit; padding-top: 8px; padding-bottom: 8px; padding-left: 5px; padding-right: 5px; }\n",
+       " #dsfcorkeos .gt_first_grand_summary_row_bottom { border-top-style: double; border-top-width: 6px; border-top-color: #D3D3D3; }\n",
+       " #dsfcorkeos .gt_last_grand_summary_row_top { border-bottom-style: double; border-bottom-width: 6px; border-bottom-color: #D3D3D3; }\n",
+       " #dsfcorkeos .gt_sourcenotes { color: #333333; background-color: #FFFFFF; border-bottom-style: none; border-bottom-width: 2px; border-bottom-color: #D3D3D3; border-left-style: none; border-left-width: 2px; border-left-color: #D3D3D3; border-right-style: none; border-right-width: 2px; border-right-color: #D3D3D3; }\n",
+       " #dsfcorkeos .gt_sourcenote { font-size: 10px; padding-top: 4px; padding-bottom: 4px; padding-left: 5px; padding-right: 5px; text-align: left; }\n",
+       " #dsfcorkeos .gt_left { text-align: left; }\n",
+       " #dsfcorkeos .gt_center { text-align: center; }\n",
+       " #dsfcorkeos .gt_right { text-align: right; font-variant-numeric: tabular-nums; }\n",
+       " #dsfcorkeos .gt_font_normal { font-weight: normal; }\n",
+       " #dsfcorkeos .gt_font_bold { font-weight: bold; }\n",
+       " #dsfcorkeos .gt_font_italic { font-style: italic; }\n",
+       " #dsfcorkeos .gt_super { font-size: 65%; }\n",
+       " #dsfcorkeos .gt_footnote_marks { font-size: 75%; vertical-align: 0.4em; position: initial; }\n",
+       " #dsfcorkeos .gt_asterisk { font-size: 100%; vertical-align: 0; }\n",
        " \n",
        "</style>\n",
        "<table class=\"gt_table\" data-quarto-disable-processing=\"false\" data-quarto-bootstrap=\"false\">\n",
@@ -527,31 +2499,31 @@
        "  </tr>\n",
        "  <tr>\n",
        "    <th class=\"gt_row gt_left gt_stub\">a</th>\n",
-       "    <td class=\"gt_row gt_center\">0.337 <br> [0.292, 0.380]</td>\n",
+       "    <td class=\"gt_row gt_center\">0.054 <br> [0.000, 0.121]</td>\n",
        "  </tr>\n",
        "  <tr>\n",
        "    <th class=\"gt_row gt_left gt_stub\">b</th>\n",
-       "    <td class=\"gt_row gt_center\">0.049 <br> [0.007, 0.087]</td>\n",
+       "    <td class=\"gt_row gt_center\">0.196 <br> [0.144, 0.253]</td>\n",
        "  </tr>\n",
        "  <tr>\n",
        "    <th class=\"gt_row gt_left gt_stub\">c</th>\n",
-       "    <td class=\"gt_row gt_center\">0.305 <br> [0.256, 0.355]</td>\n",
+       "    <td class=\"gt_row gt_center\">0.209 <br> [0.126, 0.295]</td>\n",
        "  </tr>\n",
        "  <tr>\n",
        "    <th class=\"gt_row gt_left gt_stub\">d</th>\n",
-       "    <td class=\"gt_row gt_center\">0.054 <br> [0.004, 0.095]</td>\n",
+       "    <td class=\"gt_row gt_center\">0.061 <br> [0.000, 0.120]</td>\n",
        "  </tr>\n",
        "  <tr>\n",
        "    <th class=\"gt_row gt_left gt_stub\">e</th>\n",
-       "    <td class=\"gt_row gt_center\">0.026 <br> [0.000, 0.062]</td>\n",
+       "    <td class=\"gt_row gt_center\">0.256 <br> [0.224, 0.290]</td>\n",
        "  </tr>\n",
        "  <tr>\n",
        "    <th class=\"gt_row gt_left gt_stub\">f</th>\n",
-       "    <td class=\"gt_row gt_center\">0.191 <br> [0.110, 0.272]</td>\n",
+       "    <td class=\"gt_row gt_center\">0.112 <br> [0.071, 0.153]</td>\n",
        "  </tr>\n",
        "  <tr>\n",
        "    <th class=\"gt_row gt_left gt_stub\">g</th>\n",
-       "    <td class=\"gt_row gt_center\">0.039 <br> [0.000, 0.084]</td>\n",
+       "    <td class=\"gt_row gt_center\">0.113 <br> [0.073, 0.151]</td>\n",
        "  </tr>\n",
        "  <tr class=\"gt_group_heading_row\">\n",
        "    <th class=\"gt_group_heading\" colspan=\"2\">stats</th>\n",
@@ -562,7 +2534,7 @@
        "  </tr>\n",
        "  <tr>\n",
        "    <th class=\"gt_row gt_left gt_stub\">Bayesian R2</th>\n",
-       "    <td class=\"gt_row gt_center\">0.992</td>\n",
+       "    <td class=\"gt_row gt_center\">0.998</td>\n",
        "  </tr>\n",
        "</tbody>\n",
        "  <tfoot class=\"gt_sourcenotes\">\n",
@@ -591,32 +2563,32 @@
        " & (1) \\\\\n",
        "\\midrule\n",
        "\\addlinespace[1ex]\n",
-       "a & \\makecell{0.337 \\\\ [0.292, 0.380]} \\\\\n",
+       "a & \\makecell{0.054 \\\\ [0.000, 0.121]} \\\\\n",
        "\\addlinespace[0.5ex]\n",
        "\\addlinespace[0.5ex]\n",
-       "b & \\makecell{0.049 \\\\ [0.007, 0.087]} \\\\\n",
+       "b & \\makecell{0.196 \\\\ [0.144, 0.253]} \\\\\n",
        "\\addlinespace[0.5ex]\n",
        "\\addlinespace[0.5ex]\n",
-       "c & \\makecell{0.305 \\\\ [0.256, 0.355]} \\\\\n",
+       "c & \\makecell{0.209 \\\\ [0.126, 0.295]} \\\\\n",
        "\\addlinespace[0.5ex]\n",
        "\\addlinespace[0.5ex]\n",
-       "d & \\makecell{0.054 \\\\ [0.004, 0.095]} \\\\\n",
+       "d & \\makecell{0.061 \\\\ [0.000, 0.120]} \\\\\n",
        "\\addlinespace[0.5ex]\n",
        "\\addlinespace[0.5ex]\n",
-       "e & \\makecell{0.026 \\\\ [0.000, 0.062]} \\\\\n",
+       "e & \\makecell{0.256 \\\\ [0.224, 0.290]} \\\\\n",
        "\\addlinespace[0.5ex]\n",
        "\\addlinespace[0.5ex]\n",
-       "f & \\makecell{0.191 \\\\ [0.110, 0.272]} \\\\\n",
+       "f & \\makecell{0.112 \\\\ [0.071, 0.153]} \\\\\n",
        "\\addlinespace[0.5ex]\n",
        "\\addlinespace[0.5ex]\n",
-       "g & \\makecell{0.039 \\\\ [0.000, 0.084]} \\\\\n",
+       "g & \\makecell{0.113 \\\\ [0.073, 0.151]} \\\\\n",
        "\\addlinespace[0.5ex]\n",
        "\\midrule\n",
        "\\addlinespace[1ex]\n",
        "N & 100 \\\\\n",
        "\\addlinespace[0.5ex]\n",
        "\\addlinespace[0.5ex]\n",
-       "Bayesian R2 & 0.992 \\\\\n",
+       "Bayesian R2 & 0.998 \\\\\n",
        "\\addlinespace[0.5ex]\n",
        "\\bottomrule\n",
        "\\end{tabularx}\n",
@@ -627,7 +2599,7 @@
        "\\end{threeparttable}"
       ],
       "text/plain": [
-       "<maketables.mtable.MTable.__repr__.<locals>.DualOutput at 0x14aaf3a10>"
+       "<maketables.mtable.MTable.__repr__.<locals>.DualOutput at 0x124d6de80>"
       ]
      },
      "metadata": {},
@@ -637,7 +2609,7 @@
      "data": {
       "text/plain": []
      },
-     "execution_count": 9,
+     "execution_count": null,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -670,6 +2642,16 @@
    "outputs": [
     {
      "data": {
+      "application/vnd.positron.dataexplorer+json": {
+       "comm_id": "0e03fe05-79fb-4987-ac33-3212a11ccfbb",
+       "shape": {
+        "columns": 9,
+        "rows": 1
+       },
+       "source": "pandas",
+       "title": "pandas",
+       "version": 1
+      },
       "text/html": [
        "<div>\n",
        "<style scoped>\n",
@@ -703,14 +2685,14 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>x[actual]</th>\n",
-       "      <td>-1.717</td>\n",
-       "      <td>0.216</td>\n",
-       "      <td>-2.133</td>\n",
-       "      <td>-1.338</td>\n",
+       "      <td>-1.239</td>\n",
+       "      <td>0.363</td>\n",
+       "      <td>-1.906</td>\n",
+       "      <td>-0.585</td>\n",
+       "      <td>0.012</td>\n",
        "      <td>0.006</td>\n",
-       "      <td>0.003</td>\n",
-       "      <td>1260.0</td>\n",
-       "      <td>1812.0</td>\n",
+       "      <td>946.0</td>\n",
+       "      <td>1492.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -719,13 +2701,13 @@
       ],
       "text/plain": [
        "            mean     sd  hdi_3%  hdi_97%  mcse_mean  mcse_sd  ess_bulk  \\\n",
-       "x[actual] -1.717  0.216  -2.133   -1.338      0.006    0.003    1260.0   \n",
+       "x[actual] -1.239  0.363  -1.906   -0.585      0.012    0.006     946.0   \n",
        "\n",
        "           ess_tail  r_hat  \n",
-       "x[actual]    1812.0    1.0  "
+       "x[actual]    1492.0    1.0  "
       ]
      },
-     "execution_count": 10,
+     "execution_count": null,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -765,6 +2747,16 @@
    "outputs": [
     {
      "data": {
+      "application/vnd.positron.dataexplorer+json": {
+       "comm_id": "1abbb812-f754-4bbe-93b7-7579be46028b",
+       "shape": {
+        "columns": 9,
+        "rows": 1
+       },
+       "source": "pandas",
+       "title": "pandas",
+       "version": 1
+      },
       "text/html": [
        "<div>\n",
        "<style scoped>\n",
@@ -798,14 +2790,14 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>x[actual]</th>\n",
-       "      <td>-51.498</td>\n",
-       "      <td>6.479</td>\n",
-       "      <td>-63.982</td>\n",
-       "      <td>-40.131</td>\n",
+       "      <td>-37.181</td>\n",
+       "      <td>10.888</td>\n",
+       "      <td>-57.189</td>\n",
+       "      <td>-17.546</td>\n",
+       "      <td>0.352</td>\n",
        "      <td>0.182</td>\n",
-       "      <td>0.104</td>\n",
-       "      <td>1260.0</td>\n",
-       "      <td>1812.0</td>\n",
+       "      <td>946.0</td>\n",
+       "      <td>1492.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -813,14 +2805,14 @@
        "</div>"
       ],
       "text/plain": [
-       "             mean     sd  hdi_3%  hdi_97%  mcse_mean  mcse_sd  ess_bulk  \\\n",
-       "x[actual] -51.498  6.479 -63.982  -40.131      0.182    0.104    1260.0   \n",
+       "             mean      sd  hdi_3%  hdi_97%  mcse_mean  mcse_sd  ess_bulk  \\\n",
+       "x[actual] -37.181  10.888 -57.189  -17.546      0.352    0.182     946.0   \n",
        "\n",
        "           ess_tail  r_hat  \n",
-       "x[actual]    1812.0    1.0  "
+       "x[actual]    1492.0    1.0  "
       ]
      },
-     "execution_count": 11,
+     "execution_count": null,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -857,6 +2849,16 @@
    "outputs": [
     {
      "data": {
+      "application/vnd.positron.dataexplorer+json": {
+       "comm_id": "422694ba-b048-4db6-bf45-456410dac22d",
+       "shape": {
+        "columns": 8,
+        "rows": 2
+       },
+       "source": "pandas",
+       "title": "pandas",
+       "version": 1
+      },
       "text/html": [
        "<div>\n",
        "<style scoped>\n",
@@ -889,25 +2891,25 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>average</th>\n",
-       "      <td>-1.716602</td>\n",
-       "      <td>-1.706684</td>\n",
-       "      <td>-2.147102</td>\n",
-       "      <td>-1.326032</td>\n",
+       "      <td>-1.239357</td>\n",
+       "      <td>-1.241476</td>\n",
+       "      <td>-1.913526</td>\n",
+       "      <td>-0.545315</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>-9.124018</td>\n",
-       "      <td>-11.221693</td>\n",
-       "      <td>-7.261266</td>\n",
+       "      <td>-5.049057</td>\n",
+       "      <td>-7.617849</td>\n",
+       "      <td>-2.295991</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>cumulative</th>\n",
-       "      <td>-51.498075</td>\n",
-       "      <td>-51.200525</td>\n",
-       "      <td>-64.413068</td>\n",
-       "      <td>-39.780954</td>\n",
+       "      <td>-37.180701</td>\n",
+       "      <td>-37.244276</td>\n",
+       "      <td>-57.405766</td>\n",
+       "      <td>-16.359464</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>-9.124018</td>\n",
-       "      <td>-11.221693</td>\n",
-       "      <td>-7.261266</td>\n",
+       "      <td>-5.049057</td>\n",
+       "      <td>-7.617849</td>\n",
+       "      <td>-2.295991</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -915,15 +2917,15 @@
       ],
       "text/plain": [
        "                 mean     median  hdi_lower  hdi_upper  p_gt_0  relative_mean  \\\n",
-       "average     -1.716602  -1.706684  -2.147102  -1.326032     0.0      -9.124018   \n",
-       "cumulative -51.498075 -51.200525 -64.413068 -39.780954     0.0      -9.124018   \n",
+       "average     -1.239357  -1.241476  -1.913526  -0.545315     0.0      -5.049057   \n",
+       "cumulative -37.180701 -37.244276 -57.405766 -16.359464     0.0      -5.049057   \n",
        "\n",
        "            relative_hdi_lower  relative_hdi_upper  \n",
-       "average             -11.221693           -7.261266  \n",
-       "cumulative          -11.221693           -7.261266  "
+       "average              -7.617849           -2.295991  \n",
+       "cumulative           -7.617849           -2.295991  "
       ]
      },
-     "execution_count": 12,
+     "execution_count": null,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -950,11 +2952,11 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "During the Post-period (70 to 99), the response variable had an average value of approx. 17.07. By contrast, in the absence of an intervention, we would have expected an average response of 18.79. The 95% interval of this counterfactual prediction is [18.40, 19.22]. Subtracting this prediction from the observed response yields an estimate of the causal effect the intervention had on the response variable. This effect is -1.72 with a 95% interval of [-2.15, -1.33].\n",
+      "During the Post-period (70 to 99), the response variable had an average value of approx. 23.21. By contrast, in the absence of an intervention, we would have expected an average response of 24.44. The 95% interval of this counterfactual prediction is [23.75, 25.12]. Subtracting this prediction from the observed response yields an estimate of the causal effect the intervention had on the response variable. This effect is -1.24 with a 95% interval of [-1.91, -0.55].\n",
       "\n",
-      "Summing up the individual data points during the Post-period, the response variable had an overall value of 512.18. By contrast, had the intervention not taken place, we would have expected a sum of 563.68. The 95% interval of this prediction is [551.97, 576.60].\n",
+      "Summing up the individual data points during the Post-period, the response variable had an overall value of 696.16. By contrast, had the intervention not taken place, we would have expected a sum of 733.34. The 95% interval of this prediction is [712.52, 753.57].\n",
       "\n",
-      "The 95% HDI of the effect [-2.15, -1.33] does not include zero. The posterior probability of a decrease is 1.000. Relative to the counterfactual, the effect represents a -9.12% change (95% HDI [-11.22%, -7.26%]).\n",
+      "The 95% HDI of the effect [-1.91, -0.55] does not include zero. The posterior probability of a decrease is 1.000. Relative to the counterfactual, the effect represents a -5.05% change (95% HDI [-7.62%, -2.30%]).\n",
       "\n",
       "This analysis assumes that the control units used to construct the synthetic counterfactual were not themselves affected by the intervention, and that the pre-treatment relationship between control and treated units remains stable throughout the post-treatment period. We recommend inspecting model fit, examining pre-intervention trends, and conducting sensitivity analyses (e.g., placebo tests) to support any causal conclusions drawn from this analysis.\n"
      ]
@@ -989,6 +2991,16 @@
    "outputs": [
     {
      "data": {
+      "application/vnd.positron.dataexplorer+json": {
+       "comm_id": "89a06a30-642d-47ce-918f-02e2b82e661e",
+       "shape": {
+        "columns": 9,
+        "rows": 2
+       },
+       "source": "pandas",
+       "title": "pandas",
+       "version": 1
+      },
       "text/html": [
        "<div>\n",
        "<style scoped>\n",
@@ -1022,27 +3034,27 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>average</th>\n",
-       "      <td>-3.058950</td>\n",
-       "      <td>-3.049049</td>\n",
-       "      <td>-3.428534</td>\n",
-       "      <td>-2.696519</td>\n",
+       "      <td>-2.655351</td>\n",
+       "      <td>-2.641739</td>\n",
+       "      <td>-3.146364</td>\n",
+       "      <td>-2.144796</td>\n",
        "      <td>0.0</td>\n",
        "      <td>1.0</td>\n",
-       "      <td>-18.641865</td>\n",
-       "      <td>-20.446211</td>\n",
-       "      <td>-16.814846</td>\n",
+       "      <td>-11.823094</td>\n",
+       "      <td>-13.782409</td>\n",
+       "      <td>-9.845488</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>cumulative</th>\n",
-       "      <td>-48.943206</td>\n",
-       "      <td>-48.784789</td>\n",
-       "      <td>-54.856540</td>\n",
-       "      <td>-43.144308</td>\n",
+       "      <td>-42.485612</td>\n",
+       "      <td>-42.267822</td>\n",
+       "      <td>-50.341832</td>\n",
+       "      <td>-34.316743</td>\n",
        "      <td>0.0</td>\n",
        "      <td>1.0</td>\n",
-       "      <td>-18.641865</td>\n",
-       "      <td>-20.446211</td>\n",
-       "      <td>-16.814846</td>\n",
+       "      <td>-11.823094</td>\n",
+       "      <td>-13.782409</td>\n",
+       "      <td>-9.845488</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -1050,19 +3062,19 @@
       ],
       "text/plain": [
        "                 mean     median  hdi_lower  hdi_upper  p_two_sided  \\\n",
-       "average     -3.058950  -3.049049  -3.428534  -2.696519          0.0   \n",
-       "cumulative -48.943206 -48.784789 -54.856540 -43.144308          0.0   \n",
+       "average     -2.655351  -2.641739  -3.146364  -2.144796          0.0   \n",
+       "cumulative -42.485612 -42.267822 -50.341832 -34.316743          0.0   \n",
        "\n",
        "            prob_of_effect  relative_mean  relative_hdi_lower  \\\n",
-       "average                1.0     -18.641865          -20.446211   \n",
-       "cumulative             1.0     -18.641865          -20.446211   \n",
+       "average                1.0     -11.823094          -13.782409   \n",
+       "cumulative             1.0     -11.823094          -13.782409   \n",
        "\n",
        "            relative_hdi_upper  \n",
-       "average             -16.814846  \n",
-       "cumulative          -16.814846  "
+       "average              -9.845488  \n",
+       "cumulative           -9.845488  "
       ]
      },
-     "execution_count": 14,
+     "execution_count": null,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1100,11 +3112,11 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "During the Post-period (70 to 85), the response variable had an average value of approx. 13.34. By contrast, in the absence of an intervention, we would have expected an average response of 16.40. The 95% interval of this counterfactual prediction is [16.04, 16.77]. Subtracting this prediction from the observed response yields an estimate of the causal effect the intervention had on the response variable. This effect is -3.06 with a 95% interval of [-3.43, -2.70].\n",
+      "During the Post-period (70 to 85), the response variable had an average value of approx. 19.78. By contrast, in the absence of an intervention, we would have expected an average response of 22.44. The 95% interval of this counterfactual prediction is [21.93, 22.93]. Subtracting this prediction from the observed response yields an estimate of the causal effect the intervention had on the response variable. This effect is -2.66 with a 95% interval of [-3.15, -2.14].\n",
       "\n",
-      "Summing up the individual data points during the Post-period, the response variable had an overall value of 213.44. By contrast, had the intervention not taken place, we would have expected a sum of 262.38. The 95% interval of this prediction is [256.58, 268.30].\n",
+      "Summing up the individual data points during the Post-period, the response variable had an overall value of 316.49. By contrast, had the intervention not taken place, we would have expected a sum of 358.98. The 95% interval of this prediction is [350.81, 366.84].\n",
       "\n",
-      "The 95% HDI of the effect [-3.43, -2.70] does not include zero. The posterior probability of an effect is 1.000. Relative to the counterfactual, the effect represents a -18.64% change (95% HDI [-20.45%, -16.81%]).\n",
+      "The 95% HDI of the effect [-3.15, -2.14] does not include zero. The posterior probability of an effect is 1.000. Relative to the counterfactual, the effect represents a -11.82% change (95% HDI [-13.78%, -9.85%]).\n",
       "\n",
       "This analysis assumes that the control units used to construct the synthetic counterfactual were not themselves affected by the intervention, and that the pre-treatment relationship between control and treated units remains stable throughout the post-treatment period. We recommend inspecting model fit, examining pre-intervention trends, and conducting sensitivity analyses (e.g., placebo tests) to support any causal conclusions drawn from this analysis.\n"
      ]
diff --git a/docs/source/notebooks/sc_pymc_brexit.ipynb b/docs/source/notebooks/sc_pymc_brexit.ipynb
index 5d922e113..03c41950c 100644
--- a/docs/source/notebooks/sc_pymc_brexit.ipynb
+++ b/docs/source/notebooks/sc_pymc_brexit.ipynb
@@ -1,6910 +1,52554 @@
 {
-  "cells": [
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "# The effects of Brexit\n",
-        "\n",
-        "The aim of this notebook is to estimate the causal impact of Brexit upon the UK's GDP. This will be done using the {term}`synthetic control` approach. As such, it is similar to the policy brief \"What can we know about the cost of Brexit so far?\" {cite:p}`brexit2022policybrief` from the Center for European Reform. That approach did not use Bayesian estimation methods however.\n",
-        "\n",
-        "I did not use the GDP data from the above report however as it had been scaled in some way that was hard for me to understand how it related to the absolute GDP figures. Instead, GDP data was obtained courtesy of Prof. Dooruj Rambaccussing. Raw data is in units of trillions of USD."
-      ]
-    },
-    {
-      "cell_type": "code",
-      "metadata": {
-        "execution": {
-          "iopub.execute_input": "2026-02-28T22:16:34.943942Z",
-          "iopub.status.busy": "2026-02-28T22:16:34.943859Z",
-          "iopub.status.idle": "2026-02-28T22:16:37.106661Z",
-          "shell.execute_reply": "2026-02-28T22:16:37.105864Z"
-        }
-      },
-      "source": [
-        "import arviz as az\n",
-        "import matplotlib.pyplot as plt\n",
-        "import numpy as np\n",
-        "import pandas as pd\n",
-        "from pymc_extras.prior import Prior\n",
-        "\n",
-        "import causalpy as cp"
-      ],
-      "execution_count": 1,
-      "outputs": []
-    },
-    {
-      "cell_type": "code",
-      "metadata": {
-        "execution": {
-          "iopub.execute_input": "2026-02-28T22:16:37.109014Z",
-          "iopub.status.busy": "2026-02-28T22:16:37.108767Z",
-          "iopub.status.idle": "2026-02-28T22:16:37.158198Z",
-          "shell.execute_reply": "2026-02-28T22:16:37.157659Z"
-        }
-      },
-      "source": [
-        "%load_ext autoreload\n",
-        "%autoreload 2\n",
-        "%config InlineBackend.figure_format = 'retina'\n",
-        "seed = 42"
-      ],
-      "execution_count": 2,
-      "outputs": []
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "## Load data"
-      ]
-    },
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# The effects of Brexit\n",
+    "\n",
+    "The aim of this notebook is to estimate the causal impact of Brexit upon the UK's GDP. This will be done using the {term}`synthetic control` approach. As such, it is similar to the policy brief \"What can we know about the cost of Brexit so far?\" {cite:p}`brexit2022policybrief` from the Center for European Reform. That approach did not use Bayesian estimation methods however.\n",
+    "\n",
+    "I did not use the GDP data from the above report however as it had been scaled in some way that was hard for me to understand how it related to the absolute GDP figures. Instead, GDP data was obtained courtesy of Prof. Dooruj Rambaccussing. Raw data is in units of trillions of USD."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-28T22:16:34.943942Z",
+     "iopub.status.busy": "2026-02-28T22:16:34.943859Z",
+     "iopub.status.idle": "2026-02-28T22:16:37.106661Z",
+     "shell.execute_reply": "2026-02-28T22:16:37.105864Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "import arviz as az\n",
+    "import matplotlib.pyplot as plt\n",
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "from pymc_extras.prior import Prior\n",
+    "\n",
+    "import causalpy as cp"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-28T22:16:37.109014Z",
+     "iopub.status.busy": "2026-02-28T22:16:37.108767Z",
+     "iopub.status.idle": "2026-02-28T22:16:37.158198Z",
+     "shell.execute_reply": "2026-02-28T22:16:37.157659Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "%load_ext autoreload\n",
+    "%autoreload 2\n",
+    "%config InlineBackend.figure_format = 'retina'\n",
+    "seed = 42"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Load data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-28T22:16:37.159715Z",
+     "iopub.status.busy": "2026-02-28T22:16:37.159638Z",
+     "iopub.status.idle": "2026-02-28T22:16:37.195893Z",
+     "shell.execute_reply": "2026-02-28T22:16:37.195054Z"
+    }
+   },
+   "outputs": [
     {
-      "cell_type": "code",
-      "metadata": {
-        "execution": {
-          "iopub.execute_input": "2026-02-28T22:16:37.159715Z",
-          "iopub.status.busy": "2026-02-28T22:16:37.159638Z",
-          "iopub.status.idle": "2026-02-28T22:16:37.195893Z",
-          "shell.execute_reply": "2026-02-28T22:16:37.195054Z"
-        }
+     "data": {
+      "application/vnd.positron.dataexplorer+json": {
+       "comm_id": "49b03ac8-c652-44cf-9dc2-9070c6bd214a",
+       "shape": {
+        "columns": 16,
+        "rows": 5
+       },
+       "source": "pandas",
+       "title": "pandas",
+       "version": 1
       },
-      "source": [
-        "df = (\n",
-        "    cp.load_data(\"brexit\")\n",
-        "    .assign(Time=lambda x: pd.to_datetime(x[\"Time\"]))\n",
-        "    .set_index(\"Time\")\n",
-        "    .loc[lambda x: x.index >= \"2009-01-01\"]\n",
-        "    # manual exclusion of some countries\n",
-        "    .drop([\"Japan\", \"Italy\", \"US\", \"Spain\", \"Portugal\"], axis=1)\n",
-        ")\n",
-        "\n",
-        "# specify date of the Brexit vote announcement\n",
-        "treatment_time = pd.to_datetime(\"2016 June 24\")\n",
-        "\n",
-        "df.head()"
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Australia</th>\n",
+       "      <th>Austria</th>\n",
+       "      <th>Belgium</th>\n",
+       "      <th>Canada</th>\n",
+       "      <th>Denmark</th>\n",
+       "      <th>Finland</th>\n",
+       "      <th>France</th>\n",
+       "      <th>Germany</th>\n",
+       "      <th>Iceland</th>\n",
+       "      <th>Luxemburg</th>\n",
+       "      <th>Netherlands</th>\n",
+       "      <th>New_Zealand</th>\n",
+       "      <th>Norway</th>\n",
+       "      <th>Sweden</th>\n",
+       "      <th>Switzerland</th>\n",
+       "      <th>UK</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Time</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2009-01-01</th>\n",
+       "      <td>3.84048</td>\n",
+       "      <td>0.802836</td>\n",
+       "      <td>0.94117</td>\n",
+       "      <td>16.93824</td>\n",
+       "      <td>4.50096</td>\n",
+       "      <td>0.51052</td>\n",
+       "      <td>5.05450</td>\n",
+       "      <td>6.63471</td>\n",
+       "      <td>5.18157</td>\n",
+       "      <td>0.114836</td>\n",
+       "      <td>1.634391</td>\n",
+       "      <td>0.47336</td>\n",
+       "      <td>7.78753</td>\n",
+       "      <td>10.32220</td>\n",
+       "      <td>1.476532</td>\n",
+       "      <td>4.61881</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2009-04-01</th>\n",
+       "      <td>3.86954</td>\n",
+       "      <td>0.796545</td>\n",
+       "      <td>0.94162</td>\n",
+       "      <td>16.75340</td>\n",
+       "      <td>4.41372</td>\n",
+       "      <td>0.50829</td>\n",
+       "      <td>5.05375</td>\n",
+       "      <td>6.64530</td>\n",
+       "      <td>5.16171</td>\n",
+       "      <td>0.116259</td>\n",
+       "      <td>1.634432</td>\n",
+       "      <td>0.47916</td>\n",
+       "      <td>7.71903</td>\n",
+       "      <td>10.32867</td>\n",
+       "      <td>1.485509</td>\n",
+       "      <td>4.60431</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2009-07-01</th>\n",
+       "      <td>3.88115</td>\n",
+       "      <td>0.799937</td>\n",
+       "      <td>0.95352</td>\n",
+       "      <td>16.82878</td>\n",
+       "      <td>4.42898</td>\n",
+       "      <td>0.51299</td>\n",
+       "      <td>5.06237</td>\n",
+       "      <td>6.68237</td>\n",
+       "      <td>5.24132</td>\n",
+       "      <td>0.118747</td>\n",
+       "      <td>1.640982</td>\n",
+       "      <td>0.48188</td>\n",
+       "      <td>7.72400</td>\n",
+       "      <td>10.32328</td>\n",
+       "      <td>1.502506</td>\n",
+       "      <td>4.60722</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2009-10-01</th>\n",
+       "      <td>3.91028</td>\n",
+       "      <td>0.803823</td>\n",
+       "      <td>0.96117</td>\n",
+       "      <td>17.02503</td>\n",
+       "      <td>4.43300</td>\n",
+       "      <td>0.50903</td>\n",
+       "      <td>5.09832</td>\n",
+       "      <td>6.73155</td>\n",
+       "      <td>5.22482</td>\n",
+       "      <td>0.119302</td>\n",
+       "      <td>1.650866</td>\n",
+       "      <td>0.48805</td>\n",
+       "      <td>7.72812</td>\n",
+       "      <td>10.37107</td>\n",
+       "      <td>1.515139</td>\n",
+       "      <td>4.62152</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2010-01-01</th>\n",
+       "      <td>3.92716</td>\n",
+       "      <td>0.800510</td>\n",
+       "      <td>0.96615</td>\n",
+       "      <td>17.23041</td>\n",
+       "      <td>4.47128</td>\n",
+       "      <td>0.51413</td>\n",
+       "      <td>5.11625</td>\n",
+       "      <td>6.78621</td>\n",
+       "      <td>4.91128</td>\n",
+       "      <td>0.121414</td>\n",
+       "      <td>1.647748</td>\n",
+       "      <td>0.49349</td>\n",
+       "      <td>7.87891</td>\n",
+       "      <td>10.64833</td>\n",
+       "      <td>1.525864</td>\n",
+       "      <td>4.65380</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
       ],
-      "execution_count": 3,
-      "outputs": [
-        {
-          "output_type": "execute_result",
-          "data": {
-            "text/html": [
-              "<div>\n",
-              "<style scoped>\n",
-              "    .dataframe tbody tr th:only-of-type {\n",
-              "        vertical-align: middle;\n",
-              "    }\n",
-              "\n",
-              "    .dataframe tbody tr th {\n",
-              "        vertical-align: top;\n",
-              "    }\n",
-              "\n",
-              "    .dataframe thead th {\n",
-              "        text-align: right;\n",
-              "    }\n",
-              "</style>\n",
-              "<table border=\"1\" class=\"dataframe\">\n",
-              "  <thead>\n",
-              "    <tr style=\"text-align: right;\">\n",
-              "      <th></th>\n",
-              "      <th>Australia</th>\n",
-              "      <th>Austria</th>\n",
-              "      <th>Belgium</th>\n",
-              "      <th>Canada</th>\n",
-              "      <th>Denmark</th>\n",
-              "      <th>Finland</th>\n",
-              "      <th>France</th>\n",
-              "      <th>Germany</th>\n",
-              "      <th>Iceland</th>\n",
-              "      <th>Luxemburg</th>\n",
-              "      <th>Netherlands</th>\n",
-              "      <th>New_Zealand</th>\n",
-              "      <th>Norway</th>\n",
-              "      <th>Sweden</th>\n",
-              "      <th>Switzerland</th>\n",
-              "      <th>UK</th>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>Time</th>\n",
-              "      <th></th>\n",
-              "      <th></th>\n",
-              "      <th></th>\n",
-              "      <th></th>\n",
-              "      <th></th>\n",
-              "      <th></th>\n",
-              "      <th></th>\n",
-              "      <th></th>\n",
-              "      <th></th>\n",
-              "      <th></th>\n",
-              "      <th></th>\n",
-              "      <th></th>\n",
-              "      <th></th>\n",
-              "      <th></th>\n",
-              "      <th></th>\n",
-              "      <th></th>\n",
-              "    </tr>\n",
-              "  </thead>\n",
-              "  <tbody>\n",
-              "    <tr>\n",
-              "      <th>2009-01-01</th>\n",
-              "      <td>3.84048</td>\n",
-              "      <td>0.802836</td>\n",
-              "      <td>0.94117</td>\n",
-              "      <td>16.93824</td>\n",
-              "      <td>4.50096</td>\n",
-              "      <td>0.51052</td>\n",
-              "      <td>5.05450</td>\n",
-              "      <td>6.63471</td>\n",
-              "      <td>5.18157</td>\n",
-              "      <td>0.114836</td>\n",
-              "      <td>1.634391</td>\n",
-              "      <td>0.47336</td>\n",
-              "      <td>7.78753</td>\n",
-              "      <td>10.32220</td>\n",
-              "      <td>1.476532</td>\n",
-              "      <td>4.61881</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>2009-04-01</th>\n",
-              "      <td>3.86954</td>\n",
-              "      <td>0.796545</td>\n",
-              "      <td>0.94162</td>\n",
-              "      <td>16.75340</td>\n",
-              "      <td>4.41372</td>\n",
-              "      <td>0.50829</td>\n",
-              "      <td>5.05375</td>\n",
-              "      <td>6.64530</td>\n",
-              "      <td>5.16171</td>\n",
-              "      <td>0.116259</td>\n",
-              "      <td>1.634432</td>\n",
-              "      <td>0.47916</td>\n",
-              "      <td>7.71903</td>\n",
-              "      <td>10.32867</td>\n",
-              "      <td>1.485509</td>\n",
-              "      <td>4.60431</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>2009-07-01</th>\n",
-              "      <td>3.88115</td>\n",
-              "      <td>0.799937</td>\n",
-              "      <td>0.95352</td>\n",
-              "      <td>16.82878</td>\n",
-              "      <td>4.42898</td>\n",
-              "      <td>0.51299</td>\n",
-              "      <td>5.06237</td>\n",
-              "      <td>6.68237</td>\n",
-              "      <td>5.24132</td>\n",
-              "      <td>0.118747</td>\n",
-              "      <td>1.640982</td>\n",
-              "      <td>0.48188</td>\n",
-              "      <td>7.72400</td>\n",
-              "      <td>10.32328</td>\n",
-              "      <td>1.502506</td>\n",
-              "      <td>4.60722</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>2009-10-01</th>\n",
-              "      <td>3.91028</td>\n",
-              "      <td>0.803823</td>\n",
-              "      <td>0.96117</td>\n",
-              "      <td>17.02503</td>\n",
-              "      <td>4.43300</td>\n",
-              "      <td>0.50903</td>\n",
-              "      <td>5.09832</td>\n",
-              "      <td>6.73155</td>\n",
-              "      <td>5.22482</td>\n",
-              "      <td>0.119302</td>\n",
-              "      <td>1.650866</td>\n",
-              "      <td>0.48805</td>\n",
-              "      <td>7.72812</td>\n",
-              "      <td>10.37107</td>\n",
-              "      <td>1.515139</td>\n",
-              "      <td>4.62152</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>2010-01-01</th>\n",
-              "      <td>3.92716</td>\n",
-              "      <td>0.800510</td>\n",
-              "      <td>0.96615</td>\n",
-              "      <td>17.23041</td>\n",
-              "      <td>4.47128</td>\n",
-              "      <td>0.51413</td>\n",
-              "      <td>5.11625</td>\n",
-              "      <td>6.78621</td>\n",
-              "      <td>4.91128</td>\n",
-              "      <td>0.121414</td>\n",
-              "      <td>1.647748</td>\n",
-              "      <td>0.49349</td>\n",
-              "      <td>7.87891</td>\n",
-              "      <td>10.64833</td>\n",
-              "      <td>1.525864</td>\n",
-              "      <td>4.65380</td>\n",
-              "    </tr>\n",
-              "  </tbody>\n",
-              "</table>\n",
-              "</div>"
-            ],
-            "text/plain": [
-              "            Australia   Austria  Belgium    Canada  Denmark  Finland   France  \\\n",
-              "Time                                                                            \n",
-              "2009-01-01    3.84048  0.802836  0.94117  16.93824  4.50096  0.51052  5.05450   \n",
-              "2009-04-01    3.86954  0.796545  0.94162  16.75340  4.41372  0.50829  5.05375   \n",
-              "2009-07-01    3.88115  0.799937  0.95352  16.82878  4.42898  0.51299  5.06237   \n",
-              "2009-10-01    3.91028  0.803823  0.96117  17.02503  4.43300  0.50903  5.09832   \n",
-              "2010-01-01    3.92716  0.800510  0.96615  17.23041  4.47128  0.51413  5.11625   \n",
-              "\n",
-              "            Germany  Iceland  Luxemburg  Netherlands  New_Zealand   Norway  \\\n",
-              "Time                                                                         \n",
-              "2009-01-01  6.63471  5.18157   0.114836     1.634391      0.47336  7.78753   \n",
-              "2009-04-01  6.64530  5.16171   0.116259     1.634432      0.47916  7.71903   \n",
-              "2009-07-01  6.68237  5.24132   0.118747     1.640982      0.48188  7.72400   \n",
-              "2009-10-01  6.73155  5.22482   0.119302     1.650866      0.48805  7.72812   \n",
-              "2010-01-01  6.78621  4.91128   0.121414     1.647748      0.49349  7.87891   \n",
-              "\n",
-              "              Sweden  Switzerland       UK  \n",
-              "Time                                        \n",
-              "2009-01-01  10.32220     1.476532  4.61881  \n",
-              "2009-04-01  10.32867     1.485509  4.60431  \n",
-              "2009-07-01  10.32328     1.502506  4.60722  \n",
-              "2009-10-01  10.37107     1.515139  4.62152  \n",
-              "2010-01-01  10.64833     1.525864  4.65380  "
-            ]
-          },
-          "metadata": {},
-          "execution_count": null
-        }
+      "text/plain": [
+       "            Australia   Austria  Belgium    Canada  Denmark  Finland   France  \\\n",
+       "Time                                                                            \n",
+       "2009-01-01    3.84048  0.802836  0.94117  16.93824  4.50096  0.51052  5.05450   \n",
+       "2009-04-01    3.86954  0.796545  0.94162  16.75340  4.41372  0.50829  5.05375   \n",
+       "2009-07-01    3.88115  0.799937  0.95352  16.82878  4.42898  0.51299  5.06237   \n",
+       "2009-10-01    3.91028  0.803823  0.96117  17.02503  4.43300  0.50903  5.09832   \n",
+       "2010-01-01    3.92716  0.800510  0.96615  17.23041  4.47128  0.51413  5.11625   \n",
+       "\n",
+       "            Germany  Iceland  Luxemburg  Netherlands  New_Zealand   Norway  \\\n",
+       "Time                                                                         \n",
+       "2009-01-01  6.63471  5.18157   0.114836     1.634391      0.47336  7.78753   \n",
+       "2009-04-01  6.64530  5.16171   0.116259     1.634432      0.47916  7.71903   \n",
+       "2009-07-01  6.68237  5.24132   0.118747     1.640982      0.48188  7.72400   \n",
+       "2009-10-01  6.73155  5.22482   0.119302     1.650866      0.48805  7.72812   \n",
+       "2010-01-01  6.78621  4.91128   0.121414     1.647748      0.49349  7.87891   \n",
+       "\n",
+       "              Sweden  Switzerland       UK  \n",
+       "Time                                        \n",
+       "2009-01-01  10.32220     1.476532  4.61881  \n",
+       "2009-04-01  10.32867     1.485509  4.60431  \n",
+       "2009-07-01  10.32328     1.502506  4.60722  \n",
+       "2009-10-01  10.37107     1.515139  4.62152  \n",
+       "2010-01-01  10.64833     1.525864  4.65380  "
       ]
-    },
-    {
-      "cell_type": "code",
-      "metadata": {
-        "execution": {
-          "iopub.execute_input": "2026-02-28T22:16:37.224560Z",
-          "iopub.status.busy": "2026-02-28T22:16:37.224426Z",
-          "iopub.status.idle": "2026-02-28T22:16:37.249357Z",
-          "shell.execute_reply": "2026-02-28T22:16:37.248782Z"
-        }
-      },
-      "source": [
-        "# get useful country lists\n",
-        "target_country = \"UK\"\n",
-        "all_countries = df.columns\n",
-        "other_countries = all_countries.difference({target_country})\n",
-        "all_countries = list(all_countries)\n",
-        "other_countries = list(other_countries)"
-      ],
-      "execution_count": 4,
-      "outputs": []
-    },
+     },
+     "execution_count": null,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df = (\n",
+    "    cp.load_data(\"brexit\")\n",
+    "    .assign(Time=lambda x: pd.to_datetime(x[\"Time\"]))\n",
+    "    .set_index(\"Time\")\n",
+    "    .loc[lambda x: x.index >= \"2009-01-01\"]\n",
+    "    # manual exclusion of some countries\n",
+    "    .drop([\"Japan\", \"Italy\", \"US\", \"Spain\", \"Portugal\"], axis=1)\n",
+    ")\n",
+    "\n",
+    "# specify date of the Brexit vote announcement\n",
+    "treatment_time = pd.to_datetime(\"2016 June 24\")\n",
+    "\n",
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-28T22:16:37.224560Z",
+     "iopub.status.busy": "2026-02-28T22:16:37.224426Z",
+     "iopub.status.idle": "2026-02-28T22:16:37.249357Z",
+     "shell.execute_reply": "2026-02-28T22:16:37.248782Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "# get useful country lists\n",
+    "target_country = \"UK\"\n",
+    "all_countries = df.columns\n",
+    "other_countries = all_countries.difference({target_country})\n",
+    "all_countries = list(all_countries)\n",
+    "other_countries = list(other_countries)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Data visualization"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-28T22:16:37.250659Z",
+     "iopub.status.busy": "2026-02-28T22:16:37.250571Z",
+     "iopub.status.idle": "2026-02-28T22:16:37.277089Z",
+     "shell.execute_reply": "2026-02-28T22:16:37.276342Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "az.style.use(\"arviz-white\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-28T22:16:37.279310Z",
+     "iopub.status.busy": "2026-02-28T22:16:37.279102Z",
+     "iopub.status.idle": "2026-02-28T22:16:37.517700Z",
+     "shell.execute_reply": "2026-02-28T22:16:37.517050Z"
+    }
+   },
+   "outputs": [
     {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "## Data visualization"
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 720x480 with 1 Axes>"
       ]
-    },
-    {
-      "cell_type": "code",
-      "metadata": {
-        "execution": {
-          "iopub.execute_input": "2026-02-28T22:16:37.250659Z",
-          "iopub.status.busy": "2026-02-28T22:16:37.250571Z",
-          "iopub.status.idle": "2026-02-28T22:16:37.277089Z",
-          "shell.execute_reply": "2026-02-28T22:16:37.276342Z"
-        }
-      },
-      "source": [
-        "az.style.use(\"arviz-white\")"
-      ],
-      "execution_count": 5,
-      "outputs": []
-    },
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Plot the time series normalised so that intervention point (Q3 2016) is equal to 100\n",
+    "gdp_at_intervention = df.loc[pd.to_datetime(\"2016 July 01\"), :]\n",
+    "df_normalised = (df / gdp_at_intervention) * 100.0\n",
+    "\n",
+    "# plot\n",
+    "fig, ax = plt.subplots()\n",
+    "for col in other_countries:\n",
+    "    ax.plot(df_normalised.index, df_normalised[col], color=\"grey\", alpha=0.2)\n",
+    "\n",
+    "ax.plot(df_normalised.index, df_normalised[target_country], color=\"red\", lw=3)\n",
+    "# ax = df_normalised.plot(legend=False)\n",
+    "\n",
+    "# formatting\n",
+    "ax.set(title=\"Normalised GDP\")\n",
+    "ax.axvline(x=treatment_time, color=\"r\", ls=\":\");"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-28T22:16:37.520214Z",
+     "iopub.status.busy": "2026-02-28T22:16:37.520022Z",
+     "iopub.status.idle": "2026-02-28T22:16:37.853180Z",
+     "shell.execute_reply": "2026-02-28T22:16:37.852432Z"
+    }
+   },
+   "outputs": [
     {
-      "cell_type": "code",
-      "metadata": {
-        "execution": {
-          "iopub.execute_input": "2026-02-28T22:16:37.279310Z",
-          "iopub.status.busy": "2026-02-28T22:16:37.279102Z",
-          "iopub.status.idle": "2026-02-28T22:16:37.517700Z",
-          "shell.execute_reply": "2026-02-28T22:16:37.517050Z"
-        }
-      },
-      "source": [
-        "# Plot the time series normalised so that intervention point (Q3 2016) is equal to 100\n",
-        "gdp_at_intervention = df.loc[pd.to_datetime(\"2016 July 01\"), :]\n",
-        "df_normalised = (df / gdp_at_intervention) * 100.0\n",
-        "\n",
-        "# plot\n",
-        "fig, ax = plt.subplots()\n",
-        "for col in other_countries:\n",
-        "    ax.plot(df_normalised.index, df_normalised[col], color=\"grey\", alpha=0.2)\n",
-        "\n",
-        "ax.plot(df_normalised.index, df_normalised[target_country], color=\"red\", lw=3)\n",
-        "# ax = df_normalised.plot(legend=False)\n",
-        "\n",
-        "# formatting\n",
-        "ax.set(title=\"Normalised GDP\")\n",
-        "ax.axvline(x=treatment_time, color=\"r\", ls=\":\");"
-      ],
-      "execution_count": 6,
-      "outputs": [
-        {
-          "output_type": "display_data",
-          "data": {
-            "image/png": "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",
-            "text/plain": [
-              "<Figure size 720x480 with 1 Axes>"
-            ]
-          },
-          "metadata": {}
-        }
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 1000x800 with 2 Axes>"
       ]
-    },
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "pre_intervention_data = df.loc[df.index < treatment_time, :]\n",
+    "corr, ax = cp.plot_correlations(\n",
+    "    pre_intervention_data, figsize=(10, 8), annot_kws={\"size\": 7}\n",
+    ")\n",
+    "ax.set(title=\"Correlations for pre-intervention GDP data\");"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### {term}`Donor pool selection`\n",
+    "\n",
+    "The heatmap reveals that most countries are strongly positively correlated with the UK's pre-Brexit GDP trajectory, but **Italy** and **Portugal** are negatively correlated, and **Spain** is near zero. Including negatively correlated donors can introduce interpolation bias in the {term}`synthetic control` {cite}`abadie2010synthetic,abadie2021using`, and {cite:t}`abadie2021penalized` show that dissimilar donors amplify estimation error.\n",
+    "\n",
+    ":::{admonition} Practical guideline\n",
+    ":class: tip\n",
+    "Exclude control units that are negatively correlated (or only weakly correlated) with the treated unit in the pre-treatment period. This is especially important for Bayesian implementations where the Dirichlet prior assigns non-zero weight to every donor.\n",
+    ":::\n",
+    "\n",
+    "For this dataset, we exclude Italy, Portugal, and Spain from the {term}`donor pool` before fitting the model."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-28T22:16:37.858153Z",
+     "iopub.status.busy": "2026-02-28T22:16:37.857660Z",
+     "iopub.status.idle": "2026-02-28T22:16:37.920223Z",
+     "shell.execute_reply": "2026-02-28T22:16:37.919254Z"
+    }
+   },
+   "outputs": [
     {
-      "cell_type": "code",
-      "metadata": {
-        "execution": {
-          "iopub.execute_input": "2026-02-28T22:16:37.520214Z",
-          "iopub.status.busy": "2026-02-28T22:16:37.520022Z",
-          "iopub.status.idle": "2026-02-28T22:16:37.853180Z",
-          "shell.execute_reply": "2026-02-28T22:16:37.852432Z"
-        }
-      },
-      "source": [
-        "pre_intervention_data = df.loc[df.index < treatment_time, :]\n",
-        "corr, ax = cp.plot_correlations(\n",
-        "    pre_intervention_data, figsize=(10, 8), annot_kws={\"size\": 7}\n",
-        ")\n",
-        "ax.set(title=\"Correlations for pre-intervention GDP data\");"
-      ],
-      "execution_count": 7,
-      "outputs": [
-        {
-          "output_type": "display_data",
-          "data": {
-            "image/png": "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",
-            "text/plain": [
-              "<Figure size 1000x800 with 2 Axes>"
-            ]
-          },
-          "metadata": {}
-        }
-      ]
-    },
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Excluded: []\n",
+      "Remaining donors (15): ['Australia', 'Austria', 'Belgium', 'Canada', 'Denmark', 'Finland', 'France', 'Germany', 'Iceland', 'Luxemburg', 'Netherlands', 'New_Zealand', 'Norway', 'Sweden', 'Switzerland']\n"
+     ]
+    }
+   ],
+   "source": [
+    "uk_corr = corr[\"UK\"].drop(\"UK\")\n",
+    "threshold = 0.1\n",
+    "excluded = list(uk_corr[uk_corr < threshold].index)\n",
+    "other_countries = [c for c in other_countries if c not in excluded]\n",
+    "print(f\"Excluded: {excluded}\")\n",
+    "print(f\"Remaining donors ({len(other_countries)}): {other_countries}\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Run the analysis\n",
+    "\n",
+    "Note: The analysis is (and should be) run on the raw GDP data. We do not use the normalised data shown above which was just for ease of visualization."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    ":::{note}\n",
+    "The `random_seed` keyword argument for the PyMC sampler is not necessary. We use it here so that the results are reproducible.\n",
+    ":::"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-28T22:16:37.922614Z",
+     "iopub.status.busy": "2026-02-28T22:16:37.922413Z",
+     "iopub.status.idle": "2026-02-28T22:18:03.437321Z",
+     "shell.execute_reply": "2026-02-28T22:18:03.436888Z"
+    }
+   },
+   "outputs": [
     {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "### {term}`Donor pool selection`\n",
-        "\n",
-        "The heatmap reveals that most countries are strongly positively correlated with the UK's pre-Brexit GDP trajectory, but **Italy** and **Portugal** are negatively correlated, and **Spain** is near zero. Including negatively correlated donors can introduce interpolation bias in the {term}`synthetic control` {cite}`abadie2010synthetic,abadie2021using`, and {cite:t}`abadie2021penalized` show that dissimilar donors amplify estimation error.\n",
-        "\n",
-        ":::{admonition} Practical guideline\n",
-        ":class: tip\n",
-        "Exclude control units that are negatively correlated (or only weakly correlated) with the treated unit in the pre-treatment period. This is especially important for Bayesian implementations where the Dirichlet prior assigns non-zero weight to every donor.\n",
-        ":::\n",
-        "\n",
-        "For this dataset, we exclude Italy, Portugal, and Spain from the {term}`donor pool` before fitting the model."
-      ]
-    },
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Initializing NUTS using jitter+adapt_diag...\n",
+      "Multiprocess sampling (4 chains in 4 jobs)\n",
+      "NUTS: [beta, y_hat_sigma]\n",
+      "\u001b[?25l                                                                                \n",
+      " \u001b[1m          \u001b[0m \u001b[1m      \u001b[0m \u001b[1m          \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep    \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m       \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgress\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverge…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize    \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemain…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   0      0         0.000     0          0.00      0:00:00   -:--:--   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   0      0         0.000     0          0.00      0:00:00   -:--:--   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   0      0         0.000     0          0.00      0:00:00   -:--:--   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   0      0         0.000     0          0.00      0:00:00   -:--:--   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   0      0         0.000     0          0.00      0:00:00   -:--:--   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   0      0         0.000     0          0.00      0:00:00   -:--:--   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   0      0         0.000     0          0.00      0:00:00   -:--:--   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   0      0         0.000     0          0.00      0:00:00   -:--:--   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   0      0         0.000     0          0.00      0:00:00   -:--:--   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   0      0         0.000     0          0.00      0:00:00   -:--:--   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   41     0         0.002     255        390.55    0:00:00   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   10     0         0.001     255        99.35     0:00:00   0:00:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   11     0         0.001     255        119.32    0:00:00   0:00:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   13     0         0.002     255        137.15    0:00:00   0:00:15   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   50     0         0.002     255        235.57    0:00:00   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   19     0         0.002     255        91.74     0:00:00   0:00:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   21     0         0.001     255        100.34    0:00:00   0:00:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   22     0         0.002     255        108.32    0:00:00   0:00:19   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   60     0         0.002     255        179.52    0:00:00   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   29     0         0.003     255        88.98     0:00:00   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   30     0         0.001     255        93.74     0:00:00   0:00:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   31     0         0.003     255        97.35     0:00:00   0:00:21   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   69     0         0.003     255        154.42    0:00:00   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   38     0         0.001     255        86.19     0:00:00   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   39     0         0.001     255        90.32     0:00:00   0:00:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   40     0         0.002     255        92.03     0:00:00   0:00:22   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   77     0         0.002     255        141.07    0:00:00   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   46     0         0.001     255        84.69     0:00:00   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   48     0         0.002     255        87.99     0:00:00   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   49     0         0.001     255        89.35     0:00:00   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   86     0         0.001     255        129.99    0:00:00   0:00:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   56     0         0.002     255        83.81     0:00:00   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   57     0         0.002     255        86.00     0:00:00   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   58     0         0.001     255        87.70     0:00:00   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   94     0         0.002     255        122.01    0:00:00   0:00:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   63     0         0.002     255        81.98     0:00:00   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   65     0         0.002     255        83.78     0:00:00   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   66     0         0.002     255        85.92     0:00:00   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   102    0         0.001     255        115.87    0:00:00   0:00:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   71     0         0.003     255        81.03     0:00:00   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   72     0         0.002     255        82.45     0:00:00   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   74     0         0.002     255        84.32     0:00:00   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   109    0         0.001     255        110.60    0:00:00   0:00:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   79     0         0.002     255        79.78     0:00:00   0:00:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   80     0         0.002     255        80.90     0:00:00   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   81     0         0.002     255        82.69     0:00:00   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   117    0         0.002     255        106.00    0:00:01   0:00:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   86     0         0.003     255        78.77     0:00:01   0:00:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   87     0         0.003     255        79.59     0:00:01   0:00:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   89     0         0.002     255        81.13     0:00:01   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   124    0         0.002     255        102.73    0:00:01   0:00:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   94     0         0.002     255        77.78     0:00:01   0:00:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   95     0         0.002     255        78.63     0:00:01   0:00:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   96     0         0.001     255        79.89     0:00:01   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   132    0         0.002     255        100.38    0:00:01   0:00:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   101    0         0.002     255        77.32     0:00:01   0:00:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   102    0         0.002     255        78.16     0:00:01   0:00:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   103    0         0.001     255        79.46     0:00:01   0:00:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   138    0         0.002     255        97.20     0:00:01   0:00:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   107    0         0.002     255        75.89     0:00:01   0:00:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   108    0         0.003     255        76.71     0:00:01   0:00:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   110    0         0.002     255        78.04     0:00:01   0:00:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   145    0         0.002     255        95.01     0:00:01   0:00:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   115    0         0.003     255        75.01     0:00:01   0:00:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   116    0         0.003     255        76.07     0:00:01   0:00:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   117    0         0.002     255        76.91     0:00:01   0:00:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   152    0         0.002     255        92.96     0:00:01   0:00:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   121    0         0.003     255        74.38     0:00:01   0:00:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   123    0         0.003     255        75.37     0:00:01   0:00:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   124    0         0.003     255        75.89     0:00:01   0:00:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   157    0         0.002     255        89.71     0:00:01   0:00:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   126    0         0.004     255        72.19     0:00:01   0:00:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   128    0         0.003     255        72.89     0:00:01   0:00:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   129    0         0.003     255        73.57     0:00:01   0:00:26   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   160    0         0.002     255        88.74     0:00:01   0:00:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   129    0         0.004     255        71.46     0:00:01   0:00:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   131    0         0.004     255        70.29     0:00:01   0:00:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   132    0         0.004     255        71.49     0:00:01   0:00:27   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   167    0         0.003     255        84.66     0:00:01   0:00:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   136    0         0.005     255        68.91     0:00:01   0:00:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   138    0         0.004     255        69.88     0:00:01   0:00:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   139    0         0.005     255        70.41     0:00:01   0:00:27   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   172    0         0.003     255        82.60     0:00:02   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   141    0         0.005     255        67.81     0:00:02   0:00:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   143    0         0.004     255        68.88     0:00:02   0:00:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   144    0         0.005     255        69.36     0:00:02   0:00:27   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   178    0         0.003     255        81.55     0:00:02   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   147    0         0.005     255        67.40     0:00:02   0:00:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   150    0         0.005     255        68.44     0:00:02   0:00:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   151    0         0.004     255        68.95     0:00:02   0:00:27   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   184    0         0.003     255        80.32     0:00:02   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   153    0         0.002     255        66.99     0:00:02   0:00:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   155    0         0.005     255        67.94     0:00:02   0:00:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   156    0         0.003     255        68.23     0:00:02   0:00:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   190    0         0.004     255        78.92     0:00:02   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   160    0         0.003     255        66.36     0:00:02   0:00:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   161    0         0.005     255        67.19     0:00:02   0:00:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   162    0         0.004     255        67.64     0:00:02   0:00:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   198    0         0.004     255        78.55     0:00:02   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   167    0         0.003     255        66.60     0:00:02   0:00:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   169    0         0.005     255        67.38     0:00:02   0:00:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   170    0         0.003     255        67.73     0:00:02   0:00:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   201    0         0.003     1023       76.96     0:00:02   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   175    0         0.003     255        66.65     0:00:02   0:00:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   176    0         0.005     255        67.31     0:00:02   0:00:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   177    0         0.002     255        67.74     0:00:02   0:00:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   203    0         0.004     1023       74.39     0:00:02   0:00:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   183    0         0.004     255        66.74     0:00:02   0:00:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   185    0         0.002     255        67.61     0:00:02   0:00:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   185    0         0.002     255        67.86     0:00:02   0:00:27   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   205    0         0.004     1023       72.20     0:00:02   0:00:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   191    0         0.004     255        67.09     0:00:02   0:00:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   193    0         0.002     255        67.93     0:00:02   0:00:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   193    0         0.002     255        68.05     0:00:02   0:00:27   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   207    0         0.003     1023       70.12     0:00:02   0:00:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   199    0         0.004     255        67.25     0:00:02   0:00:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   200    0         0.003     255        68.09     0:00:02   0:00:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   200    0         0.002     255        68.21     0:00:02   0:00:27   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   209    0         0.003     1023       68.10     0:00:03   0:00:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   201    0         0.004     1023       66.28     0:00:03   0:00:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   202    0         0.003     1023       66.22     0:00:03   0:00:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   202    0         0.002     1023       66.32     0:00:03   0:00:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   210    0         0.003     1023       67.05     0:00:03   0:00:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   203    0         0.004     1023       64.46     0:00:03   0:00:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   204    0         0.003     1023       64.39     0:00:03   0:00:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   204    0         0.002     1023       64.49     0:00:03   0:00:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   212    0         0.003     1023       65.09     0:00:03   0:00:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   205    0         0.004     1023       62.55     0:00:03   0:00:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   205    0         0.003     1023       63.35     0:00:03   0:00:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   205    0         0.002     1023       63.52     0:00:03   0:00:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   213    0         0.003     1023       63.92     0:00:03   0:00:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   206    0         0.004     1023       61.43     0:00:03   0:00:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   207    0         0.002     1023       61.35     0:00:03   0:00:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   207    0         0.002     1023       61.54     0:00:03   0:00:30   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   215    0         0.003     1023       62.01     0:00:03   0:00:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   208    0         0.004     1023       59.77     0:00:03   0:00:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   209    0         0.002     1023       59.77     0:00:03   0:00:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   209    0         0.002     1023       59.90     0:00:03   0:00:31   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   217    0         0.003     1023       60.48     0:00:03   0:00:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   210    0         0.004     1023       58.33     0:00:03   0:00:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   211    0         0.002     511        58.83     0:00:03   0:00:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   210    0         0.002     1023       59.19     0:00:03   0:00:31   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   218    0         0.003     1023       59.50     0:00:03   0:00:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   211    0         0.004     1023       57.31     0:00:03   0:00:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   212    0         0.002     1023       57.95     0:00:03   0:00:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   212    0         0.002     1023       57.39     0:00:03   0:00:32   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   220    0         0.003     1023       57.92     0:00:03   0:00:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   213    0         0.004     1023       55.88     0:00:03   0:00:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   214    0         0.002     1023       56.50     0:00:03   0:00:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   214    0         0.002     1023       56.04     0:00:03   0:00:32   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   222    0         0.003     1023       56.59     0:00:03   0:00:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   215    0         0.004     1023       54.64     0:00:03   0:00:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   216    0         0.002     1023       55.32     0:00:03   0:00:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   215    0         0.002     1023       55.40     0:00:03   0:00:33   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   223    0         0.003     1023       55.77     0:00:04   0:00:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   216    0         0.004     1023       53.83     0:00:04   0:00:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   218    0         0.002     1023       53.89     0:00:04   0:00:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   217    0         0.003     1023       53.98     0:00:04   0:00:34   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   225    0         0.003     1023       54.48     0:00:04   0:00:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   218    0         0.004     1023       52.75     0:00:04   0:00:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   219    0         0.002     1023       53.29     0:00:04   0:00:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   219    0         0.003     1023       52.92     0:00:04   0:00:34   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   227    0         0.003     1023       53.41     0:00:04   0:00:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   220    0         0.005     1023       51.77     0:00:04   0:00:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   221    0         0.002     1023       52.24     0:00:04   0:00:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   221    0         0.003     1023       51.87     0:00:04   0:00:35   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   229    0         0.004     1023       52.24     0:00:04   0:00:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   221    0         0.005     1023       51.16     0:00:04   0:00:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   223    0         0.002     1023       51.10     0:00:04   0:00:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   222    0         0.003     1023       51.12     0:00:04   0:00:35   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   230    0         0.004     1023       51.73     0:00:04   0:00:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   223    0         0.005     1023       50.10     0:00:04   0:00:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   225    0         0.002     1023       50.23     0:00:04   0:00:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   224    0         0.003     1023       50.18     0:00:04   0:00:36   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   231    0         0.003     1023       51.30     0:00:04   0:00:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   224    0         0.004     1023       49.63     0:00:04   0:00:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   225    0         0.002     1023       50.23     0:00:04   0:00:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   224    0         0.003     1023       50.18     0:00:04   0:00:36   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   232    0         0.003     1023       49.89     0:00:04   0:00:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   225    0         0.005     1023       48.28     0:00:04   0:00:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   227    0         0.002     1023       48.60     0:00:04   0:00:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   226    0         0.003     1023       48.43     0:00:04   0:00:37   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   234    0         0.003     1023       49.07     0:00:04   0:00:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   227    0         0.005     1023       47.51     0:00:04   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   229    0         0.002     1023       47.77     0:00:04   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   228    0         0.003     1023       47.67     0:00:04   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   236    0         0.003     1023       48.33     0:00:04   0:00:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   229    0         0.005     1023       46.72     0:00:04   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   231    0         0.003     1023       47.03     0:00:04   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   230    0         0.003     1023       46.84     0:00:04   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   238    0         0.003     1023       47.53     0:00:05   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   231    0         0.005     1023       45.96     0:00:05   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   232    0         0.003     1023       46.65     0:00:05   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   231    0         0.003     1023       46.36     0:00:05   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   240    0         0.003     1023       46.87     0:00:05   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   232    0         0.005     1023       45.58     0:00:05   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   234    0         0.003     1023       45.98     0:00:05   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   233    0         0.003     1023       45.71     0:00:05   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   242    0         0.003     1023       46.22     0:00:05   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   234    0         0.005     1023       44.97     0:00:05   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   236    0         0.003     1023       45.33     0:00:05   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   235    0         0.004     1023       45.03     0:00:05   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   244    0         0.003     1023       45.50     0:00:05   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   236    0         0.005     1023       44.24     0:00:05   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   238    0         0.003     1023       44.61     0:00:05   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   237    0         0.004     1023       44.36     0:00:05   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   246    0         0.003     1023       45.14     0:00:05   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   238    0         0.005     1023       43.67     0:00:05   0:00:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   240    0         0.003     1023       44.08     0:00:05   0:00:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   239    0         0.004     1023       43.75     0:00:05   0:00:41   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   248    0         0.003     1023       44.53     0:00:05   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   240    0         0.004     1023       43.39     0:00:05   0:00:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   242    0         0.003     1023       43.54     0:00:05   0:00:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   241    0         0.002     1023       43.21     0:00:05   0:00:41   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   250    0         0.003     1023       43.97     0:00:05   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   242    0         0.003     1023       42.84     0:00:05   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   244    0         0.003     1023       42.98     0:00:05   0:00:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   242    0         0.003     1023       42.94     0:00:05   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   251    0         0.003     1023       43.63     0:00:05   0:00:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   244    0         0.003     1023       42.29     0:00:05   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   245    0         0.003     1023       42.67     0:00:05   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   244    0         0.003     1023       42.41     0:00:05   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   253    0         0.003     1023       43.01     0:00:05   0:00:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   246    0         0.003     1023       41.74     0:00:05   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   247    0         0.003     1023       42.11     0:00:05   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   246    0         0.003     1023       41.88     0:00:05   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   255    0         0.003     1023       42.47     0:00:06   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   248    0         0.003     1023       41.29     0:00:06   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   249    0         0.003     1023       41.58     0:00:06   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   248    0         0.002     1023       41.39     0:00:06   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   257    0         0.003     1023       42.03     0:00:06   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   250    0         0.003     1023       40.86     0:00:06   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   251    0         0.003     1023       41.10     0:00:06   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   250    0         0.002     1023       40.92     0:00:06   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   259    0         0.004     1023       41.56     0:00:06   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   252    0         0.003     1023       40.43     0:00:06   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   253    0         0.003     1023       40.66     0:00:06   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   252    0         0.002     1023       40.50     0:00:06   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   261    0         0.003     1023       41.13     0:00:06   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   254    0         0.003     1023       40.03     0:00:06   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   255    0         0.003     1023       40.21     0:00:06   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   254    0         0.002     1023       40.06     0:00:06   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   263    0         0.004     1023       40.71     0:00:06   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   255    0         0.003     1023       39.79     0:00:06   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   256    0         0.003     1023       39.97     0:00:06   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   255    0         0.002     1023       39.84     0:00:06   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   264    0         0.003     1023       40.46     0:00:06   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   257    0         0.003     1023       39.34     0:00:06   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   258    0         0.003     1023       39.56     0:00:06   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   257    0         0.002     1023       39.43     0:00:06   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   266    0         0.003     1023       40.05     0:00:06   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   259    0         0.003     1023       38.95     0:00:06   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   260    0         0.003     1023       39.15     0:00:06   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   259    0         0.002     1023       39.04     0:00:06   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   268    0         0.003     1023       39.66     0:00:06   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   261    0         0.003     1023       38.57     0:00:06   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   262    0         0.003     1023       38.82     0:00:06   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   261    0         0.002     1023       38.65     0:00:06   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   270    0         0.003     1023       39.28     0:00:06   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   263    0         0.003     1023       38.24     0:00:06   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   264    0         0.003     1023       38.46     0:00:06   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   263    0         0.002     1023       38.31     0:00:06   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   273    0         0.003     319        39.00     0:00:07   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   265    0         0.003     1023       37.91     0:00:07   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   266    0         0.003     1023       38.11     0:00:07   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   265    0         0.002     1023       37.95     0:00:07   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   275    0         0.003     1023       38.65     0:00:07   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   267    0         0.003     1023       37.59     0:00:07   0:00:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   269    0         0.003     255        37.84     0:00:07   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   267    0         0.002     1023       37.62     0:00:07   0:00:47   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   276    0         0.003     1023       38.46     0:00:07   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   269    0         0.003     1023       37.27     0:00:07   0:00:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   271    0         0.003     1023       37.53     0:00:07   0:00:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   269    0         0.002     1023       37.30     0:00:07   0:00:47   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   278    0         0.003     1023       38.08     0:00:07   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   271    0         0.002     1023       36.98     0:00:07   0:00:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   272    0         0.003     1023       37.36     0:00:07   0:00:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   271    0         0.002     1023       36.99     0:00:07   0:00:47   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   280    0         0.003     1023       37.74     0:00:07   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   273    0         0.002     1023       36.69     0:00:07   0:00:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   275    0         0.003     1023       36.95     0:00:07   0:00:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   273    0         0.002     1023       36.70     0:00:07   0:00:48   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   282    0         0.003     1023       37.44     0:00:07   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   274    0         0.002     1023       36.49     0:00:07   0:00:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   277    0         0.003     1023       36.66     0:00:07   0:00:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   274    0         0.002     1023       36.53     0:00:07   0:00:48   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   284    0         0.003     1023       37.13     0:00:07   0:00:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   276    0         0.002     1023       36.21     0:00:07   0:00:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   278    0         0.003     1023       36.48     0:00:07   0:00:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   276    0         0.003     1023       36.26     0:00:07   0:00:48   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   286    0         0.003     1023       36.83     0:00:07   0:00:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   278    0         0.002     1023       35.91     0:00:07   0:00:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   280    0         0.003     1023       36.20     0:00:07   0:00:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   278    0         0.003     1023       36.00     0:00:07   0:00:48   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   288    0         0.003     1023       36.54     0:00:07   0:00:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   280    0         0.002     1023       35.63     0:00:07   0:00:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   282    0         0.003     1023       35.96     0:00:07   0:00:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   280    0         0.003     1023       35.72     0:00:07   0:00:49   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   290    0         0.003     1023       36.26     0:00:08   0:00:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   282    0         0.002     1023       35.36     0:00:07   0:00:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   284    0         0.003     1023       35.69     0:00:07   0:00:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   282    0         0.003     1023       35.46     0:00:07   0:00:49   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   291    0         0.003     1023       36.12     0:00:08   0:00:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   284    0         0.002     1023       35.09     0:00:08   0:00:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   287    0         0.003     511        35.43     0:00:08   0:00:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   284    0         0.003     1023       35.23     0:00:08   0:00:49   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   293    0         0.003     1023       35.81     0:00:08   0:00:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   286    0         0.002     1023       34.85     0:00:08   0:00:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   288    0         0.003     1023       35.29     0:00:08   0:00:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   286    0         0.003     1023       35.00     0:00:08   0:00:50   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   295    0         0.003     1023       35.56     0:00:08   0:00:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   288    0         0.002     1023       34.60     0:00:08   0:00:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   290    0         0.003     1023       35.04     0:00:08   0:00:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   288    0         0.003     1023       34.76     0:00:08   0:00:50   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   297    0         0.003     1023       35.28     0:00:08   0:00:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   289    0         0.002     1023       34.46     0:00:08   0:00:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   292    0         0.003     1023       34.81     0:00:08   0:00:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   290    0         0.003     1023       34.53     0:00:08   0:00:50   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   298    0         0.003     1023       34.98     0:00:08   0:00:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   291    0         0.002     1023       34.04     0:00:08   0:00:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   294    0         0.003     1023       34.40     0:00:08   0:00:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   291    0         0.003     1023       34.38     0:00:08   0:00:50   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   300    0         0.003     1023       34.74     0:00:08   0:00:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   293    0         0.002     1023       33.86     0:00:08   0:00:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   295    0         0.003     1023       34.26     0:00:08   0:00:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   293    0         0.003     1023       33.96     0:00:08   0:00:51   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   302    0         0.003     1023       34.50     0:00:08   0:00:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   294    0         0.002     1023       33.72     0:00:08   0:00:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   297    0         0.003     1023       34.05     0:00:08   0:00:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   295    0         0.003     1023       33.76     0:00:08   0:00:51   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   304    0         0.003     1023       34.27     0:00:08   0:00:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   296    0         0.002     1023       33.51     0:00:08   0:00:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   299    0         0.002     1023       33.84     0:00:08   0:00:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   297    0         0.003     1023       33.57     0:00:08   0:00:51   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   306    0         0.003     1023       34.04     0:00:08   0:00:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   298    0         0.002     1023       33.30     0:00:08   0:00:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   301    0         0.003     1023       33.61     0:00:08   0:00:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   299    0         0.003     1023       33.38     0:00:08   0:00:52   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   307    0         0.003     1023       33.91     0:00:09   0:00:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   300    0         0.002     1023       33.10     0:00:09   0:00:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   303    0         0.003     1023       33.39     0:00:09   0:00:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   301    0         0.003     1023       33.19     0:00:09   0:00:52   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   309    0         0.003     1023       33.69     0:00:09   0:00:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   302    0         0.003     1023       32.90     0:00:09   0:00:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   305    0         0.003     1023       33.18     0:00:09   0:00:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   303    0         0.002     1023       32.99     0:00:09   0:00:52   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   311    0         0.003     1023       33.49     0:00:09   0:00:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   304    0         0.003     1023       32.71     0:00:09   0:00:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   307    0         0.002     1023       33.00     0:00:09   0:00:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   305    0         0.002     1023       32.78     0:00:09   0:00:52   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   313    0         0.003     1023       33.27     0:00:09   0:00:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   306    0         0.003     1023       32.52     0:00:09   0:00:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   309    0         0.002     1023       32.82     0:00:09   0:00:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   307    0         0.002     1023       32.59     0:00:09   0:00:53   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   316    0         0.003     1023       33.10     0:00:09   0:00:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   308    0         0.003     1023       32.32     0:00:09   0:00:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   311    0         0.002     1023       32.63     0:00:09   0:00:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   309    0         0.002     1023       32.39     0:00:09   0:00:53   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   318    0         0.003     1023       32.91     0:00:09   0:00:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   310    0         0.002     1023       32.14     0:00:09   0:00:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   313    0         0.002     1023       32.45     0:00:09   0:00:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   311    0         0.002     1023       32.20     0:00:09   0:00:53   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   320    0         0.003     1023       32.73     0:00:09   0:00:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   312    0         0.002     1023       31.95     0:00:09   0:00:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   315    0         0.002     1023       32.27     0:00:09   0:00:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   312    0         0.002     1023       32.09     0:00:09   0:00:53   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   322    0         0.003     1023       32.56     0:00:09   0:00:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   314    0         0.002     1023       31.76     0:00:09   0:00:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   317    0         0.002     1023       32.12     0:00:09   0:00:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   314    0         0.003     1023       31.88     0:00:09   0:00:54   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   323    0         0.003     1023       32.46     0:00:10   0:00:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   316    0         0.002     1023       31.60     0:00:10   0:00:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   319    0         0.002     1023       31.95     0:00:10   0:00:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   316    0         0.003     1023       31.69     0:00:09   0:00:54   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   325    0         0.003     1023       32.12     0:00:10   0:00:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   317    0         0.002     1023       31.39     0:00:10   0:00:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   320    0         0.002     1023       31.85     0:00:10   0:00:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   317    0         0.003     1023       31.60     0:00:10   0:00:54   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   326    0         0.003     1023       32.02     0:00:10   0:00:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   318    0         0.002     1023       31.25     0:00:10   0:00:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   322    0         0.002     1023       31.50     0:00:10   0:00:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   319    0         0.003     1023       31.24     0:00:10   0:00:54   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   328    0         0.003     1023       31.82     0:00:10   0:00:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   320    0         0.002     1023       31.07     0:00:10   0:00:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   323    0         0.002     1023       31.39     0:00:10   0:00:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   320    0         0.003     1023       31.13     0:00:10   0:00:55   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   330    0         0.003     1023       31.63     0:00:10   0:00:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   322    0         0.002     1023       30.89     0:00:10   0:00:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   325    0         0.002     1023       31.20     0:00:10   0:00:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   322    0         0.003     1023       30.95     0:00:10   0:00:55   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   331    0         0.003     1023       31.52     0:00:10   0:00:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   323    0         0.002     1023       30.79     0:00:10   0:00:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   326    0         0.002     1023       31.11     0:00:10   0:00:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   324    0         0.003     1023       30.75     0:00:10   0:00:55   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   333    0         0.003     1023       31.28     0:00:10   0:00:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   325    0         0.002     1023       30.56     0:00:10   0:00:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   328    0         0.002     1023       30.87     0:00:10   0:00:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   325    0         0.003     1023       30.62     0:00:10   0:00:55   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   335    0         0.002     1023       31.09     0:00:10   0:00:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   327    0         0.002     1023       30.39     0:00:10   0:00:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   330    0         0.002     1023       30.68     0:00:10   0:00:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   327    0         0.003     1023       30.43     0:00:10   0:00:56   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   336    0         0.002     1023       30.97     0:00:10   0:00:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   329    0         0.002     1023       30.24     0:00:10   0:00:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   332    0         0.002     1023       30.52     0:00:10   0:00:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   329    0         0.003     1023       30.28     0:00:10   0:00:56   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   338    0         0.002     1023       30.82     0:00:11   0:00:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   331    0         0.002     1023       30.10     0:00:11   0:00:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   333    0         0.002     1023       30.43     0:00:10   0:00:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   331    0         0.003     1023       30.12     0:00:10   0:00:56   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   340    0         0.002     1023       30.66     0:00:11   0:00:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   333    0         0.002     511        30.02     0:00:11   0:00:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   335    0         0.002     1023       30.29     0:00:11   0:00:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   333    0         0.003     1023       30.00     0:00:11   0:00:56   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   342    0         0.002     1023       30.49     0:00:11   0:00:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   335    0         0.002     1023       29.88     0:00:11   0:00:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   337    0         0.002     1023       30.13     0:00:11   0:00:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   335    0         0.003     1023       29.87     0:00:11   0:00:56   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   343    0         0.002     1023       30.40     0:00:11   0:00:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   336    0         0.002     1023       29.78     0:00:11   0:00:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   339    0         0.002     1023       30.00     0:00:11   0:00:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   336    0         0.003     1023       29.78     0:00:11   0:00:57   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   345    0         0.002     1023       30.18     0:00:11   0:00:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   338    0         0.002     1023       29.56     0:00:11   0:00:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   340    0         0.002     1023       29.90     0:00:11   0:00:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   338    0         0.003     1023       29.55     0:00:11   0:00:57   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   345    0         0.002     1023       30.18     0:00:11   0:00:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   338    0         0.002     1023       29.56     0:00:11   0:00:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   341    0         0.002     1023       29.73     0:00:11   0:00:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   338    0         0.003     1023       29.55     0:00:11   0:00:57   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   347    0         0.002     1023       29.81     0:00:11   0:00:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   340    0         0.002     1023       29.18     0:00:11   0:00:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   343    0         0.002     1023       29.44     0:00:11   0:00:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   340    0         0.003     1023       29.19     0:00:11   0:00:58   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   349    0         0.002     1023       29.64     0:00:11   0:00:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   342    0         0.001     1023       29.03     0:00:11   0:00:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   344    0         0.002     1023       29.34     0:00:11   0:00:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   341    0         0.003     1023       29.09     0:00:11   0:00:58   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   350    0         0.002     1023       29.54     0:00:11   0:00:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   343    0         0.001     1023       28.94     0:00:11   0:00:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   346    0         0.002     1023       29.18     0:00:11   0:00:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   343    0         0.003     1023       28.92     0:00:11   0:00:58   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   352    0         0.003     1023       29.39     0:00:12   0:00:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   345    0         0.001     1023       28.79     0:00:12   0:00:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   348    0         0.002     1023       29.04     0:00:12   0:00:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   345    0         0.003     1023       28.77     0:00:12   0:00:58   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   354    0         0.003     1023       29.23     0:00:12   0:00:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   346    0         0.001     1023       28.72     0:00:12   0:00:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   349    0         0.002     1023       28.94     0:00:12   0:00:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   346    0         0.003     1023       28.71     0:00:12   0:00:58   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   355    0         0.003     1023       29.04     0:00:12   0:00:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   347    0         0.001     1023       28.59     0:00:12   0:00:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   350    0         0.002     1023       28.79     0:00:12   0:00:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   347    0         0.003     1023       28.56     0:00:12   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   356    0         0.003     1023       28.85     0:00:12   0:00:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   348    0         0.001     1023       28.41     0:00:12   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   351    0         0.003     1023       28.58     0:00:12   0:00:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   348    0         0.003     1023       28.34     0:00:12   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   357    0         0.002     1023       28.77     0:00:12   0:00:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   350    0         0.001     1023       28.18     0:00:12   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   353    0         0.002     1023       28.39     0:00:12   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   350    0         0.002     1023       28.17     0:00:12   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   359    0         0.002     1023       28.63     0:00:12   0:00:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   352    0         0.002     1023       28.03     0:00:12   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   354    0         0.002     1023       28.31     0:00:12   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   351    0         0.002     1023       28.08     0:00:12   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   360    0         0.002     1023       28.53     0:00:12   0:00:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   352    0         0.002     1023       28.03     0:00:12   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   356    0         0.002     511        28.23     0:00:12   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   352    0         0.002     1023       28.02     0:00:12   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   361    0         0.002     1023       28.25     0:00:12   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   353    0         0.002     1023       27.75     0:00:12   0:01:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   357    0         0.002     1023       27.96     0:00:12   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   353    0         0.002     1023       27.72     0:00:12   0:01:00   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   362    0         0.002     1023       28.17     0:00:12   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   355    0         0.001     1023       27.57     0:00:12   0:01:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   358    0         0.002     1023       27.89     0:00:12   0:01:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   355    0         0.002     1023       27.55     0:00:12   0:01:00   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   363    0         0.002     1023       28.08     0:00:13   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   356    0         0.001     1023       27.46     0:00:13   0:01:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   359    0         0.002     1023       27.79     0:00:13   0:01:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   356    0         0.002     1023       27.46     0:00:13   0:01:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   365    0         0.002     1023       27.77     0:00:13   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   357    0         0.002     1023       27.24     0:00:13   0:01:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   361    0         0.002     1023       27.49     0:00:13   0:01:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   357    0         0.002     1023       27.25     0:00:13   0:01:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   366    0         0.002     1023       27.71     0:00:13   0:01:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   359    0         0.002     1023       27.12     0:00:13   0:01:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   362    0         0.002     1023       27.42     0:00:13   0:01:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   359    0         0.002     1023       27.13     0:00:13   0:01:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   369    0         0.002     1023       27.62     0:00:13   0:01:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   361    0         0.002     1023       27.02     0:00:13   0:01:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   364    0         0.002     1023       27.30     0:00:13   0:01:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   361    0         0.002     1023       27.02     0:00:13   0:01:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   370    0         0.002     1023       27.53     0:00:13   0:01:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   362    0         0.002     1023       26.93     0:00:13   0:01:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   366    0         0.002     1023       27.15     0:00:13   0:01:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   362    0         0.002     1023       26.92     0:00:13   0:01:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   371    0         0.002     1023       27.33     0:00:13   0:01:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   363    0         0.002     1023       26.75     0:00:13   0:01:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   367    0         0.002     1023       27.00     0:00:13   0:01:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   363    0         0.002     1023       26.73     0:00:13   0:01:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   372    0         0.002     1023       27.22     0:00:13   0:01:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   364    0         0.002     1023       26.65     0:00:13   0:01:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   368    0         0.002     1023       26.90     0:00:13   0:01:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   364    0         0.002     1023       26.63     0:00:13   0:01:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   373    0         0.002     1023       27.08     0:00:13   0:01:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   365    0         0.002     1023       26.50     0:00:13   0:01:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   369    0         0.002     1023       26.77     0:00:13   0:01:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   365    0         0.003     1023       26.50     0:00:13   0:01:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   374    0         0.002     1023       26.89     0:00:13   0:01:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   366    0         0.002     1023       26.35     0:00:13   0:01:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   370    0         0.002     1023       26.59     0:00:13   0:01:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   366    0         0.003     1023       26.35     0:00:13   0:01:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   375    0         0.002     1023       26.69     0:00:14   0:01:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   367    0         0.002     1023       26.14     0:00:14   0:01:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   371    0         0.002     1023       26.42     0:00:14   0:01:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   367    0         0.003     1023       26.16     0:00:14   0:01:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   376    0         0.002     1023       26.57     0:00:14   0:01:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   368    0         0.002     1023       26.02     0:00:14   0:01:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   372    0         0.002     1023       26.28     0:00:14   0:01:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   368    0         0.003     1023       26.03     0:00:14   0:01:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   377    0         0.002     1023       26.47     0:00:14   0:01:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   370    0         0.002     1023       25.86     0:00:14   0:01:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   373    0         0.002     1023       26.17     0:00:14   0:01:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   369    0         0.002     1023       25.93     0:00:14   0:01:04   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   379    0         0.002     1023       26.32     0:00:14   0:01:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   371    0         0.002     1023       25.77     0:00:14   0:01:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   375    0         0.002     1023       26.03     0:00:14   0:01:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   371    0         0.002     1023       25.78     0:00:14   0:01:04   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   380    0         0.002     1023       26.25     0:00:14   0:01:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   373    0         0.002     1023       25.66     0:00:14   0:01:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   376    0         0.002     1023       25.98     0:00:14   0:01:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   373    0         0.002     1023       25.67     0:00:14   0:01:04   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   382    0         0.002     1023       26.13     0:00:14   0:01:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   374    0         0.002     1023       25.60     0:00:14   0:01:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   378    0         0.002     1023       25.87     0:00:14   0:01:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   374    0         0.002     1023       25.62     0:00:14   0:01:04   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   383    0         0.002     1023       26.07     0:00:14   0:01:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   376    0         0.002     1023       25.49     0:00:14   0:01:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   380    0         0.002     1023       25.77     0:00:14   0:01:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   376    0         0.002     1023       25.52     0:00:14   0:01:04   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   385    0         0.002     1023       25.95     0:00:14   0:01:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   377    0         0.002     1023       25.43     0:00:14   0:01:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   381    0         0.002     1023       25.71     0:00:14   0:01:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   377    0         0.002     1023       25.46     0:00:14   0:01:04   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   387    0         0.002     1023       25.87     0:00:14   0:01:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   379    0         0.002     1023       25.35     0:00:14   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   383    0         0.002     1023       25.58     0:00:14   0:01:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   379    0         0.002     1023       25.36     0:00:14   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   388    0         0.002     1023       25.82     0:00:15   0:01:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   380    0         0.002     1023       25.29     0:00:15   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   384    0         0.002     1023       25.53     0:00:15   0:01:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   380    0         0.002     1023       25.31     0:00:15   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   389    0         0.002     1023       25.66     0:00:15   0:01:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   382    0         0.002     1023       25.14     0:00:15   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   386    0         0.002     1023       25.39     0:00:15   0:01:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   382    0         0.003     1023       25.16     0:00:15   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   391    0         0.002     1023       25.59     0:00:15   0:01:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   384    0         0.002     1023       25.07     0:00:15   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   387    0         0.002     1023       25.33     0:00:15   0:01:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   384    0         0.002     1023       25.09     0:00:15   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   393    0         0.002     1023       25.49     0:00:15   0:01:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   385    0         0.002     1023       25.02     0:00:15   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   389    0         0.002     1023       25.25     0:00:15   0:01:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   385    0         0.002     1023       25.03     0:00:15   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   394    0         0.002     1023       25.46     0:00:15   0:01:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   387    0         0.002     1023       24.91     0:00:15   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   390    0         0.002     1023       25.21     0:00:15   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   387    0         0.002     1023       24.93     0:00:15   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   396    0         0.002     1023       25.36     0:00:15   0:01:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   388    0         0.002     1023       24.87     0:00:15   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   392    0         0.002     1023       25.10     0:00:15   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   388    0         0.002     1023       24.89     0:00:15   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   398    0         0.002     1023       25.28     0:00:15   0:01:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   390    0         0.002     1023       24.78     0:00:15   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   394    0         0.002     1023       25.04     0:00:15   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   390    0         0.002     1023       24.80     0:00:15   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   399    0         0.002     1023       25.24     0:00:15   0:01:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   391    0         0.002     1023       24.73     0:00:15   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   395    0         0.002     1023       25.00     0:00:15   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   392    0         0.002     1023       24.71     0:00:15   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   401    0         0.002     1023       25.12     0:00:15   0:01:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   393    0         0.002     1023       24.62     0:00:15   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   397    0         0.002     1023       24.89     0:00:15   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   393    0         0.002     1023       24.65     0:00:15   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   402    0         0.002     1023       25.08     0:00:16   0:01:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   394    0         0.002     1023       24.57     0:00:16   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   398    0         0.002     1023       24.85     0:00:16   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   394    0         0.002     1023       24.62     0:00:16   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   404    0         0.002     1023       24.93     0:00:16   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   395    0         0.002     1023       24.45     0:00:16   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   400    0         0.002     1023       24.69     0:00:16   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   396    0         0.002     1023       24.45     0:00:16   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   404    0         0.002     1023       24.93     0:00:16   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   396    0         0.002     1023       24.41     0:00:16   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   400    0         0.002     1023       24.69     0:00:16   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   396    0         0.002     1023       24.45     0:00:16   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   406    0         0.002     1023       24.71     0:00:16   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   398    0         0.002     1023       24.21     0:00:16   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   402    0         0.002     1023       24.49     0:00:16   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   398    0         0.002     1023       24.25     0:00:16   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   407    0         0.002     1023       24.66     0:00:16   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   399    0         0.002     1023       24.16     0:00:16   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   403    0         0.002     1023       24.43     0:00:16   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   399    0         0.002     1023       24.19     0:00:16   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   409    0         0.002     1023       24.59     0:00:16   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   401    0         0.002     1023       24.10     0:00:16   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   405    0         0.002     1023       24.35     0:00:16   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   401    0         0.002     1023       24.11     0:00:16   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   411    0         0.002     1023       24.53     0:00:16   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   402    0         0.002     1023       24.06     0:00:16   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   407    0         0.002     1023       24.28     0:00:16   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   402    0         0.002     1023       24.07     0:00:16   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   412    0         0.002     1023       24.50     0:00:16   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   404    0         0.002     1023       23.99     0:00:16   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   408    0         0.002     1023       24.24     0:00:16   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   404    0         0.002     1023       23.99     0:00:16   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   414    0         0.002     1023       24.40     0:00:16   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   405    0         0.002     1023       23.96     0:00:16   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   409    0         0.002     1023       24.19     0:00:16   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   405    0         0.003     1023       23.95     0:00:16   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   415    0         0.002     1023       24.36     0:00:17   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   406    0         0.002     1023       23.88     0:00:17   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   410    0         0.002     1023       24.13     0:00:17   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   406    0         0.002     1023       23.88     0:00:17   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   417    0         0.002     1023       24.22     0:00:17   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   408    0         0.002     1023       23.74     0:00:17   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   412    0         0.002     1023       23.98     0:00:17   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   408    0         0.002     1023       23.74     0:00:17   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   418    0         0.002     1023       24.19     0:00:17   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   410    0         0.002     1023       23.68     0:00:17   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   414    0         0.002     1023       23.92     0:00:17   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   410    0         0.002     1023       23.68     0:00:17   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   420    0         0.002     1023       24.14     0:00:17   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   412    0         0.002     1023       23.61     0:00:17   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   416    0         0.002     1023       23.86     0:00:17   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   411    0         0.002     1023       23.65     0:00:17   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   422    0         0.002     1023       24.06     0:00:17   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   413    0         0.002     1023       23.57     0:00:17   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   417    0         0.002     1023       23.82     0:00:17   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   413    0         0.002     1023       23.55     0:00:17   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   424    0         0.002     1023       24.00     0:00:17   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   415    0         0.002     1023       23.50     0:00:17   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   419    0         0.002     1023       23.76     0:00:17   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   415    0         0.002     1023       23.49     0:00:17   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   425    0         0.002     1023       23.96     0:00:17   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   416    0         0.002     1023       23.47     0:00:17   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   421    0         0.002     1023       23.71     0:00:17   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   416    0         0.002     1023       23.47     0:00:17   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   427    0         0.002     1023       23.90     0:00:17   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   418    0         0.002     1023       23.40     0:00:17   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   422    0         0.002     1023       23.67     0:00:17   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   418    0         0.002     1023       23.41     0:00:17   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   428    0         0.002     1023       23.86     0:00:18   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   419    0         0.002     1023       23.38     0:00:18   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   423    0         0.002     1023       23.64     0:00:18   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   419    0         0.002     1023       23.38     0:00:17   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   429    0         0.002     1023       23.75     0:00:18   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   421    0         0.002     1023       23.26     0:00:18   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   425    0         0.002     1023       23.50     0:00:18   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   420    0         0.002     1023       23.26     0:00:18   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   431    0         0.002     1023       23.69     0:00:18   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   422    0         0.002     1023       23.24     0:00:18   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   427    0         0.002     1023       23.45     0:00:18   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   422    0         0.002     1023       23.20     0:00:18   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   432    0         0.002     1023       23.65     0:00:18   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   424    0         0.002     1023       23.19     0:00:18   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   428    0         0.002     1023       23.41     0:00:18   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   424    0         0.002     1023       23.15     0:00:18   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   434    0         0.002     1023       23.59     0:00:18   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   426    0         0.002     1023       23.13     0:00:18   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   430    0         0.002     1023       23.36     0:00:18   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   425    0         0.002     1023       23.11     0:00:18   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   436    0         0.002     1023       23.53     0:00:18   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   428    0         0.002     1023       23.09     0:00:18   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   432    0         0.002     1023       23.31     0:00:18   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   427    0         0.002     1023       23.06     0:00:18   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   437    0         0.002     1023       23.50     0:00:18   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   429    0         0.002     1023       23.06     0:00:18   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   433    0         0.002     1023       23.27     0:00:18   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   429    0         0.002     1023       23.01     0:00:18   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   439    0         0.002     1023       23.44     0:00:18   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   431    0         0.001     1023       23.00     0:00:18   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   435    0         0.002     1023       23.23     0:00:18   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   430    0         0.002     1023       22.98     0:00:18   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   440    0         0.002     1023       23.42     0:00:18   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   432    0         0.001     1023       22.97     0:00:18   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   436    0         0.002     1023       23.19     0:00:18   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   432    0         0.002     1023       22.93     0:00:18   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   441    0         0.002     1023       23.33     0:00:19   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   433    0         0.001     1023       22.86     0:00:19   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   437    0         0.002     1023       23.07     0:00:19   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   433    0         0.002     1023       22.80     0:00:19   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   442    0         0.002     1023       23.24     0:00:19   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   434    0         0.001     1023       22.79     0:00:19   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   438    0         0.002     1023       23.00     0:00:19   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   433    0         0.002     1023       22.80     0:00:19   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   443    0         0.002     1023       23.12     0:00:19   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   435    0         0.001     1023       22.65     0:00:19   0:01:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   439    0         0.002     1023       22.88     0:00:19   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   435    0         0.002     1023       22.63     0:00:19   0:01:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   444    0         0.002     1023       23.05     0:00:19   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   436    0         0.001     1023       22.59     0:00:19   0:01:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   440    0         0.002     1023       22.81     0:00:19   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   436    0         0.002     1023       22.57     0:00:19   0:01:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   446    0         0.002     1023       22.97     0:00:19   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   438    0         0.001     1023       22.52     0:00:19   0:01:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   442    0         0.002     1023       22.75     0:00:19   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   437    0         0.002     1023       22.53     0:00:19   0:01:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   448    0         0.002     1023       22.92     0:00:19   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   439    0         0.001     1023       22.48     0:00:19   0:01:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   443    0         0.002     1023       22.72     0:00:19   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   439    0         0.002     1023       22.46     0:00:19   0:01:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   450    0         0.002     1023       22.88     0:00:19   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   441    0         0.001     1023       22.43     0:00:19   0:01:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   445    0         0.003     1023       22.66     0:00:19   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   441    0         0.002     1023       22.42     0:00:19   0:01:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   451    0         0.002     1023       22.86     0:00:19   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   442    0         0.001     1023       22.41     0:00:19   0:01:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   446    0         0.002     1023       22.63     0:00:19   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   442    0         0.002     1023       22.39     0:00:19   0:01:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   452    0         0.002     1023       22.74     0:00:19   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   443    0         0.001     1023       22.32     0:00:19   0:01:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   448    0         0.002     1023       22.50     0:00:19   0:01:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   443    0         0.002     1023       22.31     0:00:19   0:01:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   454    0         0.002     1023       22.68     0:00:20   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   445    0         0.001     1023       22.25     0:00:20   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   449    0         0.002     1023       22.47     0:00:20   0:01:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   445    0         0.002     1023       22.26     0:00:20   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   455    0         0.002     1023       22.66     0:00:20   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   447    0         0.001     1023       22.20     0:00:20   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   451    0         0.002     1023       22.42     0:00:20   0:01:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   447    0         0.002     1023       22.21     0:00:20   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   457    0         0.002     1023       22.60     0:00:20   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   448    0         0.001     1023       22.16     0:00:20   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   453    0         0.002     1023       22.38     0:00:20   0:01:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   448    0         0.002     1023       22.19     0:00:20   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   459    0         0.002     1023       22.54     0:00:20   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   450    0         0.001     1023       22.12     0:00:20   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   454    0         0.002     1023       22.36     0:00:20   0:01:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   450    0         0.002     1023       22.15     0:00:20   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   460    0         0.002     1023       22.50     0:00:20   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   451    0         0.001     1023       22.10     0:00:20   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   456    0         0.002     1023       22.30     0:00:20   0:01:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   452    0         0.002     1023       22.10     0:00:20   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   461    0         0.002     1023       22.47     0:00:20   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   453    0         0.001     1023       22.02     0:00:20   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   457    0         0.002     1023       22.27     0:00:20   0:01:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   453    0         0.002     1023       22.06     0:00:20   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   462    0         0.002     1023       22.42     0:00:20   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   454    0         0.001     1023       21.99     0:00:20   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   458    0         0.002     1023       22.23     0:00:20   0:01:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   454    0         0.002     1023       22.02     0:00:20   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   464    0         0.002     1023       22.32     0:00:20   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   455    0         0.001     1023       21.91     0:00:20   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   460    0         0.002     1023       22.12     0:00:20   0:01:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   456    0         0.002     1023       21.92     0:00:20   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   466    0         0.002     1023       22.27     0:00:20   0:01:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   457    0         0.002     1023       21.86     0:00:20   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   462    0         0.002     1023       22.08     0:00:20   0:01:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   457    0         0.002     1023       21.91     0:00:20   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   467    0         0.002     1023       22.24     0:00:21   0:01:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   458    0         0.002     1023       21.82     0:00:21   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   463    0         0.002     1023       22.06     0:00:21   0:01:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   459    0         0.002     1023       21.87     0:00:21   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   469    0         0.002     1023       22.19     0:00:21   0:01:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   460    0         0.002     1023       21.76     0:00:21   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   465    0         0.002     1023       22.02     0:00:21   0:01:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   461    0         0.002     1023       21.84     0:00:21   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   470    0         0.002     1023       22.17     0:00:21   0:01:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   461    0         0.002     1023       21.73     0:00:21   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   466    0         0.002     1023       21.98     0:00:21   0:01:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   462    0         0.002     1023       21.82     0:00:21   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   471    0         0.002     1023       21.93     0:00:21   0:01:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   462    0         0.002     1023       21.51     0:00:21   0:01:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   467    0         0.002     1023       21.74     0:00:21   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   463    0         0.002     1023       21.61     0:00:21   0:01:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   472    0         0.002     1023       21.91     0:00:21   0:01:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   463    0         0.002     1023       21.48     0:00:21   0:01:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   468    0         0.002     1023       21.71     0:00:21   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   464    0         0.002     1023       21.55     0:00:21   0:01:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   474    0         0.002     1023       21.81     0:00:21   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   465    0         0.002     1023       21.40     0:00:21   0:01:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   470    0         0.002     1023       21.62     0:00:21   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   466    0         0.002     1023       21.45     0:00:21   0:01:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   475    0         0.002     1023       21.77     0:00:21   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   466    0         0.002     1023       21.37     0:00:21   0:01:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   471    0         0.002     1023       21.60     0:00:21   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   467    0         0.002     1023       21.43     0:00:21   0:01:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   477    0         0.002     1023       21.72     0:00:21   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   468    0         0.002     1023       21.33     0:00:21   0:01:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   473    0         0.002     1023       21.56     0:00:21   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   469    0         0.002     1023       21.38     0:00:21   0:01:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   478    0         0.002     1023       21.71     0:00:22   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   469    0         0.002     1023       21.31     0:00:22   0:01:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   474    0         0.002     1023       21.54     0:00:22   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   471    0         0.002     1023       21.34     0:00:22   0:01:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   480    0         0.002     1023       21.68     0:00:22   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   471    0         0.002     1023       21.26     0:00:22   0:01:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   476    0         0.002     1023       21.49     0:00:22   0:01:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   472    0         0.002     1023       21.33     0:00:22   0:01:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   482    0         0.002     1023       21.62     0:00:22   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   473    0         0.002     1023       21.23     0:00:22   0:01:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   478    0         0.002     1023       21.45     0:00:22   0:01:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   474    0         0.002     1023       21.29     0:00:22   0:01:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   482    0         0.002     1023       21.62     0:00:22   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   474    0         0.002     1023       21.16     0:00:22   0:01:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   478    0         0.002     1023       21.45     0:00:22   0:01:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   475    0         0.002     1023       21.27     0:00:22   0:01:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   483    0         0.002     1023       21.47     0:00:22   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   474    0         0.002     1023       21.16     0:00:22   0:01:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   479    0         0.002     1023       21.33     0:00:22   0:01:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   475    0         0.002     1023       21.27     0:00:22   0:01:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   484    0         0.002     1023       21.37     0:00:22   0:01:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   475    0         0.002     1023       20.99     0:00:22   0:01:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   480    0         0.002     1023       21.20     0:00:22   0:01:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   476    0         0.002     1023       21.12     0:00:22   0:01:13   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   484    0         0.002     1023       21.37     0:00:22   0:01:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   475    0         0.002     1023       20.99     0:00:22   0:01:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   480    0         0.002     1023       21.20     0:00:22   0:01:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   477    0         0.002     1023       20.98     0:00:22   0:01:13   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   485    0         0.002     1023       21.28     0:00:22   0:01:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   476    0         0.002     1023       20.89     0:00:22   0:01:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   481    0         0.002     1023       21.05     0:00:22   0:01:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   478    0         0.002     1023       20.92     0:00:22   0:01:13   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   486    0         0.002     1023       21.17     0:00:23   0:01:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   478    0         0.002     1023       20.79     0:00:23   0:01:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   482    0         0.002     1023       20.98     0:00:23   0:01:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   479    0         0.002     1023       20.86     0:00:23   0:01:14   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   487    0         0.002     1023       21.14     0:00:23   0:01:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   479    0         0.002     1023       20.76     0:00:23   0:01:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   483    0         0.002     1023       20.95     0:00:23   0:01:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   480    0         0.002     1023       20.82     0:00:23   0:01:14   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   488    0         0.002     1023       21.09     0:00:23   0:01:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   480    0         0.002     1023       20.73     0:00:23   0:01:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   484    0         0.002     1023       20.92     0:00:23   0:01:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   481    0         0.002     1023       20.78     0:00:23   0:01:14   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   489    0         0.002     1023       20.99     0:00:23   0:01:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   481    0         0.002     1023       20.62     0:00:23   0:01:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   485    0         0.002     1023       20.81     0:00:23   0:01:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   482    0         0.002     1023       20.67     0:00:23   0:01:14   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   491    0         0.002     1023       20.88     0:00:23   0:01:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   482    0         0.002     1023       20.57     0:00:23   0:01:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   486    0         0.002     1023       20.75     0:00:23   0:01:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   483    0         0.002     1023       20.62     0:00:23   0:01:14   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   492    0         0.002     1023       20.86     0:00:23   0:01:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   484    0         0.002     1023       20.49     0:00:23   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   488    0         0.002     1023       20.69     0:00:23   0:01:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   485    0         0.002     1023       20.56     0:00:23   0:01:14   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   493    0         0.002     1023       20.83     0:00:23   0:01:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   485    0         0.002     1023       20.47     0:00:23   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   489    0         0.002     1023       20.68     0:00:23   0:01:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   486    0         0.002     1023       20.53     0:00:23   0:01:14   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   495    0         0.002     1023       20.79     0:00:23   0:01:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   486    0         0.002     1023       20.45     0:00:23   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   491    0         0.002     1023       20.63     0:00:23   0:01:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   488    0         0.002     1023       20.48     0:00:23   0:01:14   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   496    0         0.002     1023       20.77     0:00:23   0:01:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   488    0         0.002     1023       20.41     0:00:23   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   492    0         0.002     1023       20.61     0:00:23   0:01:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   489    0         0.002     1023       20.46     0:00:23   0:01:14   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   497    0         0.002     1023       20.71     0:00:24   0:01:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   488    0         0.002     1023       20.41     0:00:24   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   493    0         0.002     1023       20.57     0:00:24   0:01:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   490    0         0.002     1023       20.37     0:00:24   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   498    0         0.002     1023       20.56     0:00:24   0:01:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   489    0         0.002     1023       20.25     0:00:24   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   494    0         0.002     1023       20.42     0:00:24   0:01:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   491    0         0.002     1023       20.28     0:00:24   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   499    0         0.002     1023       20.51     0:00:24   0:01:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   490    0         0.002     1023       20.21     0:00:24   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   495    0         0.002     1023       20.37     0:00:24   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   492    0         0.002     1023       20.22     0:00:24   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   500    0         0.002     1023       20.46     0:00:24   0:01:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   491    0         0.002     1023       20.16     0:00:24   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   496    0         0.002     1023       20.32     0:00:24   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   493    0         0.002     1023       20.17     0:00:24   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   501    0         0.002     1023       20.41     0:00:24   0:01:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   492    0         0.002     1023       20.11     0:00:24   0:01:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   497    0         0.002     1023       20.28     0:00:24   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   494    0         0.002     1023       20.12     0:00:24   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   502    0         0.002     1023       20.36     0:00:24   0:01:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   494    0         0.002     1023       20.02     0:00:24   0:01:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   498    0         0.002     1023       20.23     0:00:24   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   495    0         0.002     1023       20.09     0:00:24   0:01:16   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   503    0         0.002     1023       20.32     0:00:24   0:01:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   495    0         0.002     1023       19.98     0:00:24   0:01:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   499    0         0.002     1023       20.18     0:00:24   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   496    0         0.002     1023       20.03     0:00:24   0:01:16   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   504    0         0.002     1023       20.23     0:00:24   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   496    0         0.002     1023       19.88     0:00:24   0:01:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   500    0         0.002     1023       20.08     0:00:24   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   497    0         0.002     1023       19.92     0:00:24   0:01:16   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   505    0         0.002     1023       20.18     0:00:25   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   497    0         0.002     1023       19.82     0:00:25   0:01:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   501    0         0.002     1023       20.03     0:00:25   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   498    0         0.002     1023       19.88     0:00:25   0:01:16   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   506    0         0.002     1023       20.09     0:00:25   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   497    0         0.002     1023       19.82     0:00:25   0:01:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   502    0         0.002     1023       19.94     0:00:25   0:01:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   498    0         0.002     1023       19.88     0:00:25   0:01:16   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   507    0         0.002     1023       20.06     0:00:25   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   499    0         0.002     1023       19.71     0:00:25   0:01:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   503    0         0.002     1023       19.91     0:00:25   0:01:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   500    0         0.002     1023       19.77     0:00:25   0:01:17   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   508    0         0.002     1023       20.03     0:00:25   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   500    0         0.002     1023       19.69     0:00:25   0:01:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   505    0         0.002     1023       19.87     0:00:25   0:01:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   501    0         0.002     1023       19.74     0:00:25   0:01:17   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   510    0         0.002     1023       19.97     0:00:25   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   501    0         0.002     1023       19.67     0:00:25   0:01:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   506    0         0.002     1023       19.85     0:00:25   0:01:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   502    0         0.002     1023       19.70     0:00:25   0:01:17   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   511    0         0.002     1023       19.89     0:00:25   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   502    0         0.002     1023       19.59     0:00:25   0:01:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   507    0         0.002     1023       19.76     0:00:25   0:01:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   504    0         0.002     1023       19.60     0:00:25   0:01:17   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   512    0         0.002     1023       19.85     0:00:25   0:01:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   504    0         0.002     1023       19.52     0:00:25   0:01:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   508    0         0.002     1023       19.72     0:00:25   0:01:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   505    0         0.002     1023       19.57     0:00:25   0:01:17   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   513    0         0.002     1023       19.82     0:00:25   0:01:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   505    0         0.002     1023       19.49     0:00:25   0:01:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   509    0         0.002     1023       19.69     0:00:25   0:01:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   506    0         0.002     1023       19.55     0:00:25   0:01:17   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   514    0         0.002     1023       19.79     0:00:26   0:01:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   506    0         0.002     1023       19.46     0:00:26   0:01:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   511    0         0.002     1023       19.63     0:00:26   0:01:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   507    0         0.002     1023       19.52     0:00:26   0:01:17   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   516    0         0.002     1023       19.73     0:00:26   0:01:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   508    0         0.002     1023       19.41     0:00:26   0:01:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   512    0         0.002     1023       19.60     0:00:26   0:01:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   509    0         0.002     1023       19.47     0:00:26   0:01:17   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   517    0         0.002     1023       19.70     0:00:26   0:01:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   509    0         0.002     1023       19.38     0:00:26   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   513    0         0.002     1023       19.57     0:00:26   0:01:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   510    0         0.002     1023       19.44     0:00:26   0:01:17   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   518    0         0.002     1023       19.62     0:00:26   0:01:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   510    0         0.002     1023       19.31     0:00:26   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   514    0         0.002     1023       19.50     0:00:26   0:01:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   511    0         0.002     1023       19.36     0:00:26   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   519    0         0.002     1023       19.59     0:00:26   0:01:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   511    0         0.002     1023       19.28     0:00:26   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   516    0         0.002     1023       19.45     0:00:26   0:01:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   512    0         0.002     1023       19.33     0:00:26   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   521    0         0.002     1023       19.54     0:00:26   0:01:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   512    0         0.002     1023       19.25     0:00:26   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   517    0         0.002     1023       19.41     0:00:26   0:01:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   514    0         0.002     1023       19.28     0:00:26   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   522    0         0.002     1023       19.51     0:00:26   0:01:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   514    0         0.002     1023       19.20     0:00:26   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   518    0         0.002     1023       19.39     0:00:26   0:01:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   515    0         0.002     1023       19.24     0:00:26   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   523    0         0.002     1023       19.46     0:00:26   0:01:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   515    0         0.002     1023       19.17     0:00:26   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   520    0         0.002     1023       19.34     0:00:26   0:01:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   516    0         0.002     1023       19.21     0:00:26   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   524    0         0.002     1023       19.44     0:00:27   0:01:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   516    0         0.002     1023       19.16     0:00:27   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   521    0         0.002     1023       19.31     0:00:27   0:01:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   517    0         0.002     1023       19.19     0:00:27   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   525    0         0.002     1023       19.35     0:00:27   0:01:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   517    0         0.002     1023       19.08     0:00:27   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   522    0         0.002     1023       19.23     0:00:27   0:01:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   518    0         0.002     1023       19.11     0:00:27   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   527    0         0.002     1023       19.31     0:00:27   0:01:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   519    0         0.002     1023       19.02     0:00:27   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   524    0         0.002     1023       19.20     0:00:27   0:01:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   520    0         0.002     1023       19.07     0:00:27   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   528    0         0.002     1023       19.29     0:00:27   0:01:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   520    0         0.002     1023       19.01     0:00:27   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   525    0         0.002     1023       19.19     0:00:27   0:01:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   521    0         0.002     1023       19.04     0:00:27   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   529    0         0.002     1023       19.23     0:00:27   0:01:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   521    0         0.002     1023       18.95     0:00:27   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   526    0         0.002     1023       19.13     0:00:27   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   522    0         0.002     1023       18.99     0:00:27   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   530    0         0.002     1023       19.20     0:00:27   0:01:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   522    0         0.002     1023       18.92     0:00:27   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   527    0         0.002     1023       19.10     0:00:27   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   523    0         0.002     1023       18.96     0:00:27   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   531    0         0.002     1023       19.16     0:00:27   0:01:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   523    0         0.002     1023       18.88     0:00:27   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   528    0         0.002     1023       19.05     0:00:27   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   524    0         0.002     1023       18.91     0:00:27   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   531    0         0.002     1023       19.16     0:00:27   0:01:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   524    0         0.002     1023       18.79     0:00:27   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   529    0         0.002     1023       18.97     0:00:27   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   524    0         0.002     1023       18.91     0:00:27   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   533    0         0.002     1023       19.05     0:00:28   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   525    0         0.002     1023       18.77     0:00:28   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   530    0         0.002     1023       18.95     0:00:28   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   526    0         0.002     1023       18.80     0:00:28   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   534    0         0.002     1023       19.04     0:00:28   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   526    0         0.002     1023       18.75     0:00:28   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   531    0         0.002     1023       18.91     0:00:28   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   527    0         0.002     1023       18.78     0:00:28   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   536    0         0.002     1023       19.01     0:00:28   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   528    0         0.002     1023       18.72     0:00:28   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   533    0         0.002     1023       18.89     0:00:28   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   529    0         0.002     1023       18.75     0:00:28   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   538    0         0.002     1023       18.98     0:00:28   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   529    0         0.002     1023       18.71     0:00:28   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   534    0         0.003     1023       18.87     0:00:28   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   530    0         0.002     1023       18.73     0:00:28   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   539    0         0.002     1023       18.97     0:00:28   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   531    0         0.002     1023       18.68     0:00:28   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   535    0         0.003     1023       18.85     0:00:28   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   532    0         0.002     1023       18.71     0:00:28   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   540    0         0.002     1023       18.96     0:00:28   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   532    0         0.002     1023       18.67     0:00:28   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   537    0         0.002     1023       18.82     0:00:28   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   533    0         0.002     1023       18.70     0:00:28   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   542    0         0.002     1023       18.92     0:00:28   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   534    0         0.002     1023       18.64     0:00:28   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   539    0         0.002     1023       18.80     0:00:28   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   535    0         0.002     1023       18.68     0:00:28   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   543    0         0.002     1023       18.90     0:00:28   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   535    0         0.002     1023       18.61     0:00:28   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   540    0         0.002     1023       18.79     0:00:28   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   536    0         0.002     1023       18.67     0:00:28   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   544    0         0.002     1023       18.87     0:00:28   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   536    0         0.002     1023       18.57     0:00:28   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   541    0         0.002     1023       18.76     0:00:28   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   538    0         0.002     1023       18.62     0:00:28   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   546    0         0.002     1023       18.83     0:00:29   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   538    0         0.002     1023       18.53     0:00:29   0:01:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   543    0         0.002     1023       18.71     0:00:29   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   539    0         0.002     1023       18.61     0:00:29   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   547    0         0.002     1023       18.81     0:00:29   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   539    0         0.002     1023       18.52     0:00:29   0:01:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   544    0         0.002     1023       18.70     0:00:29   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   541    0         0.002     1023       18.57     0:00:29   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   549    0         0.002     1023       18.78     0:00:29   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   540    0         0.002     1023       18.50     0:00:29   0:01:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   546    0         0.002     1023       18.66     0:00:29   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   542    0         0.002     1023       18.57     0:00:29   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   551    0         0.002     1023       18.77     0:00:29   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   542    0         0.002     1023       18.46     0:00:29   0:01:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   547    0         0.002     1023       18.65     0:00:29   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   544    0         0.002     1023       18.55     0:00:29   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   552    0         0.002     1023       18.75     0:00:29   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   543    0         0.002     1023       18.44     0:00:29   0:01:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   549    0         0.002     1023       18.63     0:00:29   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   546    0         0.003     1023       18.53     0:00:29   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   553    0         0.002     1023       18.68     0:00:29   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   544    0         0.002     1023       18.37     0:00:29   0:01:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   550    0         0.002     1023       18.57     0:00:29   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   547    0         0.003     1023       18.47     0:00:29   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   555    0         0.002     1023       18.64     0:00:29   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   546    0         0.002     1023       18.34     0:00:29   0:01:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   552    0         0.002     1023       18.54     0:00:29   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   548    0         0.002     1023       18.46     0:00:29   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   556    0         0.002     1023       18.63     0:00:29   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   547    0         0.002     1023       18.32     0:00:29   0:01:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   553    0         0.002     1023       18.52     0:00:29   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   550    0         0.002     1023       18.42     0:00:29   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   557    0         0.002     1023       18.61     0:00:30   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   548    0         0.002     1023       18.30     0:00:30   0:01:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   554    0         0.002     1023       18.50     0:00:30   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   551    0         0.003     1023       18.39     0:00:29   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   558    0         0.002     1023       18.58     0:00:30   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   550    0         0.002     1023       18.27     0:00:30   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   556    0         0.002     1023       18.47     0:00:30   0:01:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   552    0         0.003     1023       18.37     0:00:30   0:01:20   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   559    0         0.002     1023       18.56     0:00:30   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   550    0         0.002     1023       18.27     0:00:30   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   556    0         0.002     1023       18.47     0:00:30   0:01:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   553    0         0.003     1023       18.36     0:00:30   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   560    0         0.002     1023       18.48     0:00:30   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   551    0         0.002     1023       18.19     0:00:30   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   557    0         0.002     1023       18.39     0:00:30   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   554    0         0.003     1023       18.28     0:00:30   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   561    0         0.002     1023       18.39     0:00:30   0:01:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   552    0         0.002     1023       18.11     0:00:30   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   558    0         0.002     1023       18.30     0:00:30   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   555    0         0.003     1023       18.21     0:00:30   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   562    0         0.002     1023       18.36     0:00:30   0:01:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   553    0         0.002     1023       18.07     0:00:30   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   559    0         0.002     1023       18.27     0:00:30   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   556    0         0.003     1023       18.17     0:00:30   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   563    0         0.002     1023       18.32     0:00:30   0:01:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   554    0         0.002     1023       18.04     0:00:30   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   560    0         0.002     1023       18.23     0:00:30   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   557    0         0.003     1023       18.14     0:00:30   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   564    0         0.002     1023       18.29     0:00:30   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   555    0         0.002     1023       18.01     0:00:30   0:01:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   561    0         0.002     1023       18.20     0:00:30   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   558    0         0.002     1023       18.11     0:00:30   0:01:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   565    0         0.002     1023       18.26     0:00:30   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   556    0         0.002     1023       17.98     0:00:30   0:01:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   562    0         0.002     1023       18.17     0:00:30   0:01:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   559    0         0.002     1023       18.08     0:00:30   0:01:30   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   566    0         0.002     1023       18.23     0:00:31   0:01:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   557    0         0.002     1023       17.96     0:00:31   0:01:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   563    0         0.002     1023       18.14     0:00:31   0:01:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   561    0         0.002     1023       18.04     0:00:31   0:01:32   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   567    0         0.002     1023       18.20     0:00:31   0:01:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   558    0         0.002     1023       17.93     0:00:31   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   564    0         0.002     1023       18.12     0:00:31   0:01:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   562    0         0.002     1023       18.02     0:00:31   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   568    0         0.002     1023       18.17     0:00:31   0:01:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   559    0         0.002     1023       17.89     0:00:31   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   565    0         0.002     1023       18.08     0:00:31   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   563    0         0.002     1023       17.99     0:00:31   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   569    0         0.002     1023       18.13     0:00:31   0:01:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   560    0         0.002     1023       17.86     0:00:31   0:01:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   566    0         0.002     1023       18.05     0:00:31   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   564    0         0.002     1023       17.96     0:00:31   0:01:35   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   570    0         0.002     1023       18.10     0:00:31   0:01:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   561    0         0.002     1023       17.83     0:00:31   0:01:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   567    0         0.002     1023       18.02     0:00:31   0:01:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   565    0         0.002     1023       17.93     0:00:31   0:01:37   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   571    0         0.002     1023       18.07     0:00:31   0:01:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   562    0         0.002     1023       17.80     0:00:31   0:01:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   568    0         0.002     1023       17.98     0:00:31   0:01:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   566    0         0.002     1023       17.89     0:00:31   0:01:38   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   572    0         0.002     1023       18.00     0:00:31   0:01:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   563    0         0.002     1023       17.74     0:00:31   0:01:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   569    0         0.002     1023       17.92     0:00:31   0:01:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   567    0         0.002     1023       17.84     0:00:31   0:01:39   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   573    0         0.002     1023       17.97     0:00:31   0:01:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   564    0         0.002     1023       17.70     0:00:31   0:01:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   570    0         0.002     1023       17.89     0:00:31   0:01:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   568    0         0.002     1023       17.80     0:00:31   0:01:40   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   574    0         0.002     1023       17.94     0:00:32   0:01:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   565    0         0.002     1023       17.66     0:00:32   0:01:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   571    0         0.002     1023       17.85     0:00:32   0:01:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   569    0         0.002     1023       17.77     0:00:32   0:01:41   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   575    0         0.002     1023       17.91     0:00:32   0:01:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   566    0         0.002     1023       17.64     0:00:32   0:01:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   572    0         0.002     1023       17.83     0:00:32   0:01:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   570    0         0.002     1023       17.75     0:00:32   0:01:42   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   576    0         0.002     1023       17.89     0:00:32   0:01:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   567    0         0.002     1023       17.61     0:00:32   0:01:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   573    0         0.002     1023       17.81     0:00:32   0:01:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   571    0         0.002     1023       17.73     0:00:32   0:01:43   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   577    0         0.002     1023       17.86     0:00:32   0:01:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   568    0         0.002     1023       17.58     0:00:32   0:01:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   574    0         0.002     1023       17.78     0:00:32   0:01:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   572    0         0.002     1023       17.69     0:00:32   0:01:44   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   578    0         0.002     1023       17.79     0:00:32   0:01:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   569    0         0.002     1023       17.52     0:00:32   0:01:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   575    0         0.002     1023       17.71     0:00:32   0:01:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   573    0         0.003     1023       17.63     0:00:32   0:01:47   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   579    0         0.002     1023       17.74     0:00:32   0:01:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   570    0         0.002     1023       17.48     0:00:32   0:01:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   576    0         0.002     1023       17.67     0:00:32   0:01:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   574    0         0.003     1023       17.58     0:00:32   0:01:49   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   580    0         0.002     1023       17.70     0:00:32   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   571    0         0.002     1023       17.43     0:00:32   0:01:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   577    0         0.002     1023       17.62     0:00:32   0:01:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   575    0         0.002     1023       17.54     0:00:32   0:01:51   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   580    0         0.002     1023       17.70     0:00:32   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   571    0         0.002     1023       17.43     0:00:32   0:01:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   577    0         0.002     1023       17.62     0:00:32   0:01:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   575    0         0.002     1023       17.54     0:00:32   0:01:51   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   581    0         0.002     1023       17.61     0:00:33   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   572    0         0.002     1023       17.34     0:00:33   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   578    0         0.002     1023       17.53     0:00:33   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   576    0         0.002     1023       17.46     0:00:33   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   581    0         0.002     1023       17.61     0:00:33   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   572    0         0.002     1023       17.34     0:00:33   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   579    0         0.002     1023       17.49     0:00:33   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   576    0         0.002     1023       17.46     0:00:33   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   582    0         0.002     1023       17.52     0:00:33   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   573    0         0.002     1023       17.26     0:00:33   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   580    0         0.002     1023       17.44     0:00:33   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   577    0         0.002     1023       17.37     0:00:33   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   583    0         0.002     1023       17.49     0:00:33   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   574    0         0.002     1023       17.23     0:00:33   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   581    0         0.002     1023       17.41     0:00:33   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   578    0         0.003     1023       17.34     0:00:33   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   584    0         0.002     1023       17.46     0:00:33   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   575    0         0.002     1023       17.21     0:00:33   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   582    0         0.002     1023       17.39     0:00:33   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   579    0         0.003     1023       17.31     0:00:33   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   585    0         0.002     1023       17.44     0:00:33   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   577    0         0.002     1023       17.16     0:00:33   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   583    0         0.002     1023       17.37     0:00:33   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   580    0         0.003     1023       17.29     0:00:33   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   586    0         0.002     1023       17.42     0:00:33   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   578    0         0.002     1023       17.13     0:00:33   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   584    0         0.002     1023       17.35     0:00:33   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   581    0         0.002     1023       17.27     0:00:33   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   587    0         0.002     1023       17.38     0:00:33   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   578    0         0.002     1023       17.13     0:00:33   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   585    0         0.002     1023       17.32     0:00:33   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   582    0         0.002     1023       17.24     0:00:33   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   588    0         0.002     1023       17.35     0:00:33   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   579    0         0.002     1023       17.09     0:00:33   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   586    0         0.002     1023       17.27     0:00:33   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   583    0         0.002     1023       17.21     0:00:33   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   589    0         0.002     1023       17.31     0:00:34   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   580    0         0.002     1023       17.05     0:00:34   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   587    0         0.002     1023       17.23     0:00:34   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   584    0         0.002     1023       17.17     0:00:34   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   590    0         0.002     1023       17.25     0:00:34   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   581    0         0.002     1023       17.00     0:00:34   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   588    0         0.002     1023       17.19     0:00:34   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   585    0         0.002     1023       17.12     0:00:34   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   590    0         0.002     1023       17.25     0:00:34   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   582    0         0.002     1023       16.98     0:00:34   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   588    0         0.002     1023       17.19     0:00:34   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   586    0         0.002     1023       17.09     0:00:34   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   592    0         0.002     1023       17.18     0:00:34   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   583    0         0.002     1023       16.93     0:00:34   0:01:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   590    0         0.002     1023       17.13     0:00:34   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   587    0         0.002     1023       17.05     0:00:34   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   593    0         0.002     1023       17.15     0:00:34   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   584    0         0.002     1023       16.91     0:00:34   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   591    0         0.002     1023       17.10     0:00:34   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   588    0         0.002     1023       17.03     0:00:34   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   594    0         0.002     1023       17.14     0:00:34   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   585    0         0.002     1023       16.89     0:00:34   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   592    0         0.002     1023       17.09     0:00:34   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   589    0         0.002     1023       17.01     0:00:34   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   595    0         0.002     1023       17.12     0:00:34   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   586    0         0.002     1023       16.87     0:00:34   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   593    0         0.002     1023       17.07     0:00:34   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   590    0         0.002     1023       16.99     0:00:34   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   596    0         0.002     1023       17.11     0:00:34   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   588    0         0.002     1023       16.85     0:00:34   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   595    0         0.002     1023       17.05     0:00:34   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   592    0         0.002     1023       16.97     0:00:34   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   598    0         0.002     1023       17.08     0:00:35   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   589    0         0.002     1023       16.83     0:00:35   0:01:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   596    0         0.002     1023       17.03     0:00:35   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   593    0         0.002     1023       16.95     0:00:35   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   599    0         0.002     1023       17.07     0:00:35   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   590    0         0.002     1023       16.82     0:00:35   0:01:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   597    0         0.002     1023       17.02     0:00:35   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   594    0         0.002     1023       16.94     0:00:35   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   600    0         0.002     1023       17.02     0:00:35   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   591    0         0.002     1023       16.78     0:00:35   0:01:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   598    0         0.002     1023       16.97     0:00:35   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   595    0         0.003     1023       16.89     0:00:35   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   601    0         0.002     1023       17.01     0:00:35   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   593    0         0.002     1023       16.76     0:00:35   0:01:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   600    0         0.002     1023       16.95     0:00:35   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   597    0         0.003     1023       16.87     0:00:35   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   603    0         0.002     1023       17.00     0:00:35   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   594    0         0.002     1023       16.75     0:00:35   0:01:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   601    0         0.002     1023       16.94     0:00:35   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   598    0         0.003     1023       16.86     0:00:35   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   604    0         0.002     1023       16.99     0:00:35   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   595    0         0.002     1023       16.74     0:00:35   0:01:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   602    0         0.002     1023       16.93     0:00:35   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   599    0         0.002     1023       16.85     0:00:35   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   606    0         0.002     1023       16.97     0:00:35   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   597    0         0.002     1023       16.73     0:00:35   0:01:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   604    0         0.002     1023       16.91     0:00:35   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   601    0         0.002     1023       16.84     0:00:35   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   608    0         0.002     1023       16.96     0:00:35   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   599    0         0.002     1023       16.72     0:00:35   0:01:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   605    0         0.002     1023       16.90     0:00:35   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   602    0         0.002     1023       16.82     0:00:35   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   609    0         0.002     1023       16.95     0:00:35   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   600    0         0.002     1023       16.71     0:00:35   0:01:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   606    0         0.002     1023       16.89     0:00:35   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   604    0         0.002     1023       16.80     0:00:35   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   610    0         0.003     1023       16.94     0:00:36   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   601    0         0.002     1023       16.70     0:00:36   0:01:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   608    0         0.002     1023       16.87     0:00:36   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   605    0         0.002     1023       16.79     0:00:36   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   612    0         0.003     1023       16.93     0:00:36   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   603    0         0.002     1023       16.68     0:00:36   0:01:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   609    0         0.002     1023       16.86     0:00:36   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   606    0         0.002     1023       16.78     0:00:36   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   613    0         0.003     1023       16.91     0:00:36   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   604    0         0.002     1023       16.67     0:00:36   0:02:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   610    0         0.002     1023       16.84     0:00:36   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   608    0         0.002     1023       16.76     0:00:36   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   614    0         0.003     1023       16.90     0:00:36   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   605    0         0.002     1023       16.66     0:00:36   0:02:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   612    0         0.002     1023       16.82     0:00:36   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   609    0         0.002     1023       16.75     0:00:36   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   616    0         0.002     1023       16.88     0:00:36   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   606    0         0.002     1023       16.64     0:00:36   0:02:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   613    0         0.002     1023       16.80     0:00:36   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   610    0         0.002     1023       16.74     0:00:36   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   617    0         0.002     1023       16.86     0:00:36   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   608    0         0.002     1023       16.61     0:00:36   0:02:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   614    0         0.002     1023       16.79     0:00:36   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   611    0         0.002     1023       16.72     0:00:36   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   618    0         0.002     1023       16.84     0:00:36   0:01:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   609    0         0.002     1023       16.58     0:00:36   0:02:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   615    0         0.002     1023       16.77     0:00:36   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   612    0         0.002     1023       16.71     0:00:36   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   619    0         0.002     1023       16.80     0:00:36   0:01:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   609    0         0.002     1023       16.58     0:00:36   0:02:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   616    0         0.002     1023       16.74     0:00:36   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   613    0         0.002     1023       16.67     0:00:36   0:01:59   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   620    0         0.002     1023       16.76     0:00:37   0:02:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   610    0         0.002     1023       16.53     0:00:37   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   617    0         0.002     1023       16.70     0:00:37   0:01:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   614    0         0.002     1023       16.63     0:00:37   0:01:59   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   620    0         0.002     1023       16.76     0:00:37   0:02:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   611    0         0.002     1023       16.49     0:00:37   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   618    0         0.002     1023       16.66     0:00:37   0:01:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   615    0         0.002     1023       16.60     0:00:37   0:02:00   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   621    0         0.002     1023       16.69     0:00:37   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   612    0         0.002     1023       16.43     0:00:37   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   619    0         0.002     1023       16.59     0:00:37   0:02:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   616    0         0.002     1023       16.53     0:00:37   0:02:00   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   622    0         0.002     1023       16.66     0:00:37   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   613    0         0.002     1023       16.40     0:00:37   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   620    0         0.002     1023       16.57     0:00:37   0:02:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   617    0         0.002     1023       16.50     0:00:37   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   623    0         0.002     1023       16.62     0:00:37   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   614    0         0.002     1023       16.36     0:00:37   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   621    0         0.002     1023       16.54     0:00:37   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   618    0         0.002     1023       16.46     0:00:37   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   624    0         0.002     1023       16.57     0:00:37   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   615    0         0.002     1023       16.32     0:00:37   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   622    0         0.002     1023       16.50     0:00:37   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   619    0         0.002     1023       16.42     0:00:37   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   625    0         0.002     1023       16.54     0:00:37   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   615    0         0.002     1023       16.32     0:00:37   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   622    0         0.002     1023       16.50     0:00:37   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   619    0         0.002     1023       16.42     0:00:37   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   625    0         0.002     1023       16.54     0:00:37   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   616    0         0.002     1023       16.29     0:00:37   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   623    0         0.002     1023       16.45     0:00:37   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   620    0         0.002     1023       16.39     0:00:37   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   626    0         0.002     1023       16.50     0:00:38   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   617    0         0.002     1023       16.25     0:00:38   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   624    0         0.002     1023       16.42     0:00:38   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   621    0         0.002     1023       16.34     0:00:38   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   627    0         0.002     1023       16.47     0:00:38   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   618    0         0.002     1023       16.22     0:00:38   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   625    0         0.002     1023       16.38     0:00:38   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   622    0         0.002     511        16.34     0:00:38   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   628    0         0.002     1023       16.41     0:00:38   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   619    0         0.002     1023       16.17     0:00:38   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   626    0         0.002     1023       16.34     0:00:38   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   623    0         0.002     1023       16.30     0:00:38   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   629    0         0.002     1023       16.38     0:00:38   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   620    0         0.002     1023       16.14     0:00:38   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   626    0         0.002     1023       16.34     0:00:38   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   624    0         0.002     1023       16.26     0:00:38   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   629    0         0.002     1023       16.38     0:00:38   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   620    0         0.002     1023       16.14     0:00:38   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   627    0         0.002     1023       16.31     0:00:38   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   624    0         0.002     1023       16.26     0:00:38   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   630    0         0.002     1023       16.34     0:00:38   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   621    0         0.002     1023       16.07     0:00:38   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   627    0         0.002     1023       16.31     0:00:38   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   625    0         0.002     1023       16.22     0:00:38   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   631    0         0.002     1023       16.28     0:00:38   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   621    0         0.002     1023       16.07     0:00:38   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   628    0         0.002     1023       16.24     0:00:38   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   626    0         0.002     1023       16.16     0:00:38   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   632    0         0.002     1023       16.25     0:00:38   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   622    0         0.002     1023       16.04     0:00:38   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   629    0         0.002     1023       16.21     0:00:38   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   627    0         0.002     1023       16.13     0:00:38   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   633    0         0.002     1023       16.22     0:00:39   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   623    0         0.002     1023       16.00     0:00:39   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   630    0         0.002     1023       16.17     0:00:39   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   628    0         0.002     1023       16.10     0:00:39   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   634    0         0.002     1023       16.19     0:00:39   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   624    0         0.002     1023       15.98     0:00:39   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   631    0         0.002     1023       16.14     0:00:39   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   629    0         0.002     1023       16.08     0:00:39   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   634    0         0.002     1023       16.19     0:00:39   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   624    0         0.002     1023       15.98     0:00:39   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   631    0         0.002     1023       16.14     0:00:39   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   629    0         0.002     1023       16.08     0:00:39   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   635    0         0.002     1023       16.13     0:00:39   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   625    0         0.002     1023       15.91     0:00:39   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   632    0         0.002     1023       16.09     0:00:39   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   630    0         0.002     1023       16.02     0:00:39   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   636    0         0.002     1023       16.11     0:00:39   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   627    0         0.002     1023       15.87     0:00:39   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   634    0         0.002     1023       16.05     0:00:39   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   631    0         0.002     1023       16.00     0:00:39   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   637    0         0.002     1023       16.09     0:00:39   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   628    0         0.002     1023       15.85     0:00:39   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   634    0         0.002     1023       16.05     0:00:39   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   632    0         0.002     1023       15.98     0:00:39   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   638    0         0.002     1023       16.08     0:00:39   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   629    0         0.002     1023       15.83     0:00:39   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   636    0         0.002     1023       16.01     0:00:39   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   633    0         0.002     1023       15.97     0:00:39   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   639    0         0.002     1023       16.06     0:00:39   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   630    0         0.002     1023       15.82     0:00:39   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   637    0         0.002     1023       16.00     0:00:39   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   634    0         0.002     1023       15.95     0:00:39   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   640    0         0.002     1023       16.05     0:00:39   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   631    0         0.002     1023       15.81     0:00:39   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   638    0         0.002     1023       15.99     0:00:39   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   636    0         0.002     1023       15.93     0:00:39   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   642    0         0.002     1023       16.03     0:00:40   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   632    0         0.002     1023       15.80     0:00:40   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   639    0         0.002     1023       15.98     0:00:40   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   637    0         0.002     1023       15.91     0:00:40   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   643    0         0.002     1023       16.01     0:00:40   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   634    0         0.002     1023       15.78     0:00:40   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   641    0         0.002     1023       15.96     0:00:40   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   638    0         0.002     1023       15.89     0:00:40   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   644    0         0.002     1023       15.99     0:00:40   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   635    0         0.002     1023       15.77     0:00:40   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   642    0         0.002     1023       15.95     0:00:40   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   639    0         0.002     1023       15.88     0:00:40   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   645    0         0.002     1023       15.98     0:00:40   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   636    0         0.002     1023       15.76     0:00:40   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   643    0         0.002     1023       15.93     0:00:40   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   640    0         0.002     1023       15.87     0:00:40   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   646    0         0.002     1023       15.96     0:00:40   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   637    0         0.002     1023       15.74     0:00:40   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   644    0         0.002     1023       15.92     0:00:40   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   641    0         0.002     1023       15.85     0:00:40   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   647    0         0.002     1023       15.94     0:00:40   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   638    0         0.002     1023       15.73     0:00:40   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   645    0         0.002     1023       15.90     0:00:40   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   642    0         0.002     1023       15.83     0:00:40   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   648    0         0.002     1023       15.92     0:00:40   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   639    0         0.002     1023       15.70     0:00:40   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   646    0         0.002     1023       15.87     0:00:40   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   643    0         0.002     1023       15.81     0:00:40   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   649    0         0.002     1023       15.90     0:00:40   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   640    0         0.002     1023       15.69     0:00:40   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   647    0         0.002     1023       15.86     0:00:40   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   644    0         0.002     1023       15.80     0:00:40   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   650    0         0.002     1023       15.88     0:00:40   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   641    0         0.002     1023       15.67     0:00:40   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   648    0         0.002     1023       15.84     0:00:40   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   645    0         0.002     1023       15.77     0:00:40   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   650    0         0.002     1023       15.88     0:00:41   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   641    0         0.002     1023       15.67     0:00:41   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   648    0         0.002     1023       15.84     0:00:41   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   645    0         0.002     1023       15.77     0:00:41   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   651    0         0.002     1023       15.83     0:00:41   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   642    0         0.002     1023       15.62     0:00:41   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   649    0         0.002     1023       15.78     0:00:41   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   646    0         0.002     1023       15.71     0:00:41   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   652    0         0.002     1023       15.80     0:00:41   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   643    0         0.002     1023       15.59     0:00:41   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   650    0         0.002     1023       15.75     0:00:41   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   647    0         0.002     1023       15.69     0:00:41   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   654    0         0.002     1023       15.79     0:00:41   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   645    0         0.002     1023       15.57     0:00:41   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   652    0         0.002     1023       15.74     0:00:41   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   649    0         0.002     1023       15.67     0:00:41   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   655    0         0.002     1023       15.77     0:00:41   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   646    0         0.002     1023       15.56     0:00:41   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   653    0         0.002     1023       15.72     0:00:41   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   650    0         0.002     1023       15.66     0:00:41   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   656    0         0.002     1023       15.76     0:00:41   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   647    0         0.002     1023       15.54     0:00:41   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   654    0         0.002     1023       15.70     0:00:41   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   651    0         0.002     1023       15.64     0:00:41   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   657    0         0.002     1023       15.73     0:00:41   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   648    0         0.002     1023       15.51     0:00:41   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   655    0         0.002     1023       15.68     0:00:41   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   652    0         0.002     1023       15.61     0:00:41   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   658    0         0.002     1023       15.71     0:00:41   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   649    0         0.002     1023       15.49     0:00:41   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   656    0         0.002     1023       15.66     0:00:41   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   653    0         0.002     1023       15.59     0:00:41   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   659    0         0.002     1023       15.70     0:00:42   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   650    0         0.002     1023       15.48     0:00:42   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   657    0         0.002     1023       15.65     0:00:42   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   654    0         0.002     1023       15.58     0:00:42   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   660    0         0.002     1023       15.68     0:00:42   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   651    0         0.002     1023       15.46     0:00:42   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   658    0         0.002     1023       15.63     0:00:42   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   655    0         0.002     1023       15.57     0:00:42   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   661    0         0.002     1023       15.67     0:00:42   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   652    0         0.002     1023       15.45     0:00:42   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   659    0         0.002     1023       15.62     0:00:42   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   656    0         0.002     1023       15.55     0:00:42   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   662    0         0.002     1023       15.66     0:00:42   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   653    0         0.002     1023       15.44     0:00:42   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   660    0         0.002     1023       15.61     0:00:42   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   657    0         0.002     1023       15.54     0:00:42   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   664    0         0.002     1023       15.63     0:00:42   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   654    0         0.002     1023       15.42     0:00:42   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   661    0         0.002     1023       15.59     0:00:42   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   658    0         0.002     1023       15.52     0:00:42   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   665    0         0.002     1023       15.62     0:00:42   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   655    0         0.002     1023       15.41     0:00:42   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   662    0         0.002     1023       15.58     0:00:42   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   660    0         0.002     1023       15.50     0:00:42   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   666    0         0.002     1023       15.61     0:00:42   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   656    0         0.002     1023       15.39     0:00:42   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   663    0         0.002     1023       15.56     0:00:42   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   661    0         0.002     1023       15.48     0:00:42   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   666    0         0.002     1023       15.61     0:00:42   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   657    0         0.002     1023       15.38     0:00:42   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   664    0         0.002     1023       15.55     0:00:42   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   661    0         0.002     1023       15.48     0:00:42   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   667    0         0.002     1023       15.55     0:00:42   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   658    0         0.002     1023       15.33     0:00:42   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   665    0         0.002     1023       15.49     0:00:42   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   662    0         0.002     1023       15.43     0:00:42   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   668    0         0.002     1023       15.54     0:00:43   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   659    0         0.002     1023       15.31     0:00:43   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   666    0         0.002     1023       15.48     0:00:43   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   663    0         0.002     1023       15.41     0:00:43   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   669    0         0.002     1023       15.52     0:00:43   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   660    0         0.002     1023       15.30     0:00:43   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   667    0         0.002     1023       15.46     0:00:43   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   664    0         0.002     1023       15.40     0:00:43   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   670    0         0.002     1023       15.50     0:00:43   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   661    0         0.002     1023       15.28     0:00:43   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   668    0         0.002     1023       15.44     0:00:43   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   665    0         0.002     1023       15.38     0:00:43   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   671    0         0.002     1023       15.49     0:00:43   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   662    0         0.002     1023       15.27     0:00:43   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   669    0         0.002     1023       15.43     0:00:43   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   666    0         0.002     1023       15.37     0:00:43   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   672    0         0.002     1023       15.47     0:00:43   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   663    0         0.002     1023       15.25     0:00:43   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   670    0         0.002     1023       15.41     0:00:43   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   667    0         0.002     1023       15.35     0:00:43   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   673    0         0.002     1023       15.45     0:00:43   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   664    0         0.002     1023       15.24     0:00:43   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   671    0         0.002     1023       15.40     0:00:43   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   668    0         0.002     1023       15.34     0:00:43   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   674    0         0.002     1023       15.44     0:00:43   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   665    0         0.002     1023       15.22     0:00:43   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   672    0         0.002     1023       15.39     0:00:43   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   669    0         0.002     1023       15.32     0:00:43   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   675    0         0.002     1023       15.41     0:00:43   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   666    0         0.002     1023       15.19     0:00:43   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   673    0         0.002     1023       15.37     0:00:43   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   670    0         0.002     1023       15.31     0:00:43   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   676    0         0.002     1023       15.39     0:00:43   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   667    0         0.002     1023       15.18     0:00:43   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   674    0         0.002     1023       15.34     0:00:43   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   671    0         0.002     1023       15.28     0:00:43   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   677    0         0.002     1023       15.38     0:00:44   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   668    0         0.002     1023       15.17     0:00:44   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   675    0         0.002     1023       15.33     0:00:44   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   672    0         0.002     1023       15.27     0:00:44   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   678    0         0.002     1023       15.36     0:00:44   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   670    0         0.002     1023       15.15     0:00:44   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   676    0         0.002     1023       15.32     0:00:44   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   674    0         0.002     1023       15.25     0:00:44   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   679    0         0.002     1023       15.35     0:00:44   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   671    0         0.002     1023       15.14     0:00:44   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   678    0         0.002     1023       15.29     0:00:44   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   675    0         0.002     1023       15.23     0:00:44   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   681    0         0.002     1023       15.32     0:00:44   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   672    0         0.002     1023       15.13     0:00:44   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   679    0         0.002     1023       15.28     0:00:44   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   676    0         0.002     1023       15.22     0:00:44   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   682    0         0.002     1023       15.31     0:00:44   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   673    0         0.002     1023       15.11     0:00:44   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   680    0         0.002     1023       15.27     0:00:44   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   677    0         0.002     1023       15.21     0:00:44   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   682    0         0.002     1023       15.31     0:00:44   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   673    0         0.002     1023       15.11     0:00:44   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   680    0         0.002     1023       15.27     0:00:44   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   677    0         0.002     1023       15.21     0:00:44   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   683    0         0.002     1023       15.26     0:00:44   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   674    0         0.002     1023       15.07     0:00:44   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   681    0         0.002     1023       15.22     0:00:44   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   678    0         0.002     1023       15.16     0:00:44   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   684    0         0.002     1023       15.25     0:00:44   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   675    0         0.002     1023       15.05     0:00:44   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   682    0         0.002     1023       15.20     0:00:44   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   680    0         0.002     1023       15.14     0:00:44   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   685    0         0.002     1023       15.23     0:00:45   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   676    0         0.002     1023       15.04     0:00:45   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   683    0         0.002     1023       15.19     0:00:45   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   681    0         0.002     1023       15.13     0:00:45   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   686    0         0.002     1023       15.22     0:00:45   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   677    0         0.002     1023       15.03     0:00:45   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   684    0         0.002     1023       15.18     0:00:45   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   682    0         0.002     1023       15.12     0:00:45   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   687    0         0.002     1023       15.20     0:00:45   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   678    0         0.002     1023       15.01     0:00:45   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   685    0         0.002     1023       15.16     0:00:45   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   683    0         0.002     1023       15.11     0:00:45   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   688    0         0.002     1023       15.19     0:00:45   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   679    0         0.002     1023       14.99     0:00:45   0:02:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   686    0         0.002     1023       15.15     0:00:45   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   684    0         0.002     1023       15.09     0:00:45   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   689    0         0.002     1023       15.17     0:00:45   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   680    0         0.002     1023       14.98     0:00:45   0:02:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   687    0         0.002     1023       15.13     0:00:45   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   685    0         0.002     1023       15.07     0:00:45   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   690    0         0.002     1023       15.14     0:00:45   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   681    0         0.002     1023       14.95     0:00:45   0:02:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   688    0         0.002     1023       15.10     0:00:45   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   685    0         0.002     1023       15.07     0:00:45   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   691    0         0.002     1023       15.11     0:00:45   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   682    0         0.002     1023       14.92     0:00:45   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   689    0         0.002     1023       15.07     0:00:45   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   686    0         0.002     1023       15.03     0:00:45   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   692    0         0.002     1023       15.10     0:00:45   0:02:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   683    0         0.002     1023       14.91     0:00:45   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   690    0         0.002     1023       15.06     0:00:45   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   688    0         0.002     1023       15.01     0:00:45   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   693    0         0.002     1023       15.09     0:00:45   0:02:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   684    0         0.002     1023       14.91     0:00:45   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   691    0         0.002     1023       15.05     0:00:45   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   689    0         0.002     1023       15.00     0:00:45   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   694    0         0.002     1023       15.08     0:00:46   0:02:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   686    0         0.002     1023       14.89     0:00:46   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   692    0         0.002     1023       15.05     0:00:46   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   690    0         0.002     1023       15.00     0:00:46   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   695    0         0.002     1023       15.07     0:00:46   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   687    0         0.002     1023       14.88     0:00:46   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   693    0         0.002     1023       15.03     0:00:46   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   691    0         0.002     1023       14.99     0:00:46   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   696    0         0.002     1023       15.06     0:00:46   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   688    0         0.002     1023       14.87     0:00:46   0:02:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   694    0         0.002     1023       15.02     0:00:46   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   692    0         0.002     1023       14.97     0:00:46   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   697    0         0.002     1023       15.04     0:00:46   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   688    0         0.002     1023       14.87     0:00:46   0:02:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   695    0         0.002     1023       15.01     0:00:46   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   693    0         0.002     1023       14.95     0:00:46   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   697    0         0.002     1023       15.04     0:00:46   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   689    0         0.002     1023       14.82     0:00:46   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   696    0         0.002     1023       14.95     0:00:46   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   693    0         0.002     1023       14.95     0:00:46   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   699    0         0.002     1023       14.98     0:00:46   0:02:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   690    0         0.002     1023       14.79     0:00:46   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   697    0         0.002     1023       14.95     0:00:46   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   695    0         0.002     1023       14.89     0:00:46   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   700    0         0.002     1023       14.97     0:00:46   0:02:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   691    0         0.002     1023       14.78     0:00:46   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   698    0         0.002     1023       14.94     0:00:46   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   696    0         0.002     1023       14.88     0:00:46   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   701    0         0.002     1023       14.95     0:00:46   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   692    0         0.002     1023       14.76     0:00:46   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   699    0         0.002     1023       14.93     0:00:46   0:02:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   697    0         0.002     1023       14.86     0:00:46   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   702    0         0.002     1023       14.94     0:00:47   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   693    0         0.002     1023       14.75     0:00:47   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   700    0         0.002     1023       14.91     0:00:47   0:02:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   698    0         0.002     1023       14.85     0:00:47   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   703    0         0.002     1023       14.93     0:00:47   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   694    0         0.002     1023       14.73     0:00:47   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   701    0         0.002     1023       14.90     0:00:47   0:02:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   699    0         0.002     1023       14.84     0:00:47   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   704    0         0.002     1023       14.92     0:00:47   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   695    0         0.002     1023       14.72     0:00:47   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   702    0         0.002     1023       14.89     0:00:47   0:02:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   700    0         0.002     1023       14.83     0:00:47   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   705    0         0.002     1023       14.91     0:00:47   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   696    0         0.002     1023       14.70     0:00:47   0:02:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   704    0         0.002     1023       14.87     0:00:47   0:02:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   701    0         0.002     1023       14.81     0:00:47   0:02:15   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   706    0         0.002     1023       14.89     0:00:47   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   697    0         0.002     1023       14.69     0:00:47   0:02:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   705    0         0.002     1023       14.86     0:00:47   0:02:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   702    0         0.002     1023       14.80     0:00:47   0:02:15   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   707    0         0.002     1023       14.88     0:00:47   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   698    0         0.002     1023       14.67     0:00:47   0:02:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   705    0         0.002     1023       14.86     0:00:47   0:02:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   703    0         0.002     1023       14.79     0:00:47   0:02:15   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   708    0         0.001     1023       14.86     0:00:47   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   699    0         0.002     1023       14.66     0:00:47   0:02:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   707    0         0.002     1023       14.82     0:00:47   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   704    0         0.002     1023       14.77     0:00:47   0:02:15   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   709    0         0.001     1023       14.85     0:00:47   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   700    0         0.002     1023       14.64     0:00:47   0:02:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   708    0         0.002     1023       14.81     0:00:47   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   705    0         0.002     1023       14.76     0:00:47   0:02:15   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   710    0         0.001     1023       14.84     0:00:47   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   701    0         0.002     1023       14.64     0:00:47   0:02:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   709    0         0.002     1023       14.81     0:00:47   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   706    0         0.002     1023       14.75     0:00:47   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   711    0         0.001     1023       14.83     0:00:48   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   702    0         0.002     1023       14.63     0:00:48   0:02:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   710    0         0.002     1023       14.80     0:00:48   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   707    0         0.002     1023       14.74     0:00:48   0:02:15   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   712    0         0.001     1023       14.80     0:00:48   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   703    0         0.002     1023       14.60     0:00:48   0:02:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   711    0         0.002     1023       14.77     0:00:48   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   708    0         0.002     1023       14.71     0:00:48   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   714    0         0.001     1023       14.79     0:00:48   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   704    0         0.002     1023       14.59     0:00:48   0:02:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   712    0         0.002     1023       14.77     0:00:48   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   709    0         0.002     1023       14.71     0:00:48   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   715    0         0.001     1023       14.79     0:00:48   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   705    0         0.002     1023       14.58     0:00:48   0:02:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   714    0         0.002     1023       14.76     0:00:48   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   710    0         0.002     1023       14.70     0:00:48   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   716    0         0.001     1023       14.78     0:00:48   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   706    0         0.002     1023       14.58     0:00:48   0:02:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   715    0         0.002     1023       14.75     0:00:48   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   712    0         0.002     1023       14.69     0:00:48   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   717    0         0.001     1023       14.78     0:00:48   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   707    0         0.002     1023       14.57     0:00:48   0:02:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   716    0         0.002     1023       14.74     0:00:48   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   713    0         0.002     1023       14.66     0:00:48   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   719    0         0.001     1023       14.75     0:00:48   0:02:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   708    0         0.002     1023       14.55     0:00:48   0:02:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   717    0         0.002     1023       14.73     0:00:48   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   714    0         0.002     1023       14.66     0:00:48   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   720    0         0.001     1023       14.75     0:00:48   0:02:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   710    0         0.002     1023       14.53     0:00:48   0:02:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   719    0         0.002     1023       14.72     0:00:48   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   715    0         0.002     1023       14.66     0:00:48   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   721    0         0.001     1023       14.74     0:00:48   0:02:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   711    0         0.002     1023       14.53     0:00:48   0:02:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   720    0         0.002     1023       14.71     0:00:48   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   717    0         0.002     1023       14.65     0:00:48   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   722    0         0.002     1023       14.73     0:00:49   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   712    0         0.002     1023       14.52     0:00:49   0:02:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   721    0         0.002     1023       14.70     0:00:49   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   718    0         0.002     1023       14.64     0:00:49   0:02:15   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   723    0         0.002     1023       14.72     0:00:49   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   713    0         0.002     1023       14.51     0:00:49   0:02:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   722    0         0.002     1023       14.69     0:00:49   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   719    0         0.002     1023       14.63     0:00:49   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   724    0         0.002     1023       14.71     0:00:49   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   714    0         0.002     1023       14.50     0:00:49   0:02:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   723    0         0.002     1023       14.68     0:00:49   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   720    0         0.002     1023       14.62     0:00:49   0:02:15   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   725    0         0.002     1023       14.70     0:00:49   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   715    0         0.002     1023       14.49     0:00:49   0:02:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   724    0         0.002     1023       14.67     0:00:49   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   721    0         0.002     1023       14.61     0:00:49   0:02:15   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   727    0         0.002     1023       14.68     0:00:49   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   716    0         0.002     1023       14.48     0:00:49   0:02:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   725    0         0.002     1023       14.66     0:00:49   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   722    0         0.002     1023       14.60     0:00:49   0:02:15   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   728    0         0.002     1023       14.67     0:00:49   0:02:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   718    0         0.002     1023       14.47     0:00:49   0:02:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   727    0         0.002     1023       14.65     0:00:49   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   724    0         0.002     1023       14.59     0:00:49   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   729    0         0.001     1023       14.64     0:00:49   0:02:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   719    0         0.002     1023       14.44     0:00:49   0:02:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   728    0         0.002     1023       14.62     0:00:49   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   725    0         0.002     1023       14.56     0:00:49   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   731    0         0.001     1023       14.64     0:00:49   0:02:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   721    0         0.002     1023       14.43     0:00:49   0:02:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   729    0         0.002     1023       14.61     0:00:49   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   726    0         0.002     1023       14.56     0:00:49   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   732    0         0.001     1023       14.63     0:00:50   0:02:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   722    0         0.002     1023       14.43     0:00:50   0:02:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   731    0         0.002     1023       14.60     0:00:50   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   728    0         0.002     1023       14.54     0:00:50   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   733    0         0.001     1023       14.63     0:00:50   0:02:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   723    0         0.002     1023       14.43     0:00:50   0:02:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   732    0         0.002     1023       14.60     0:00:50   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   729    0         0.002     1023       14.54     0:00:50   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   735    0         0.001     1023       14.62     0:00:50   0:02:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   724    0         0.002     1023       14.42     0:00:50   0:02:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   733    0         0.002     1023       14.59     0:00:50   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   730    0         0.002     1023       14.53     0:00:50   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   736    0         0.001     1023       14.60     0:00:50   0:02:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   726    0         0.002     1023       14.40     0:00:50   0:02:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   734    0         0.002     1023       14.58     0:00:50   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   731    0         0.002     1023       14.51     0:00:50   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   737    0         0.001     1023       14.59     0:00:50   0:02:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   727    0         0.002     1023       14.39     0:00:50   0:02:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   735    0         0.002     1023       14.57     0:00:50   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   732    0         0.002     1023       14.51     0:00:50   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   738    0         0.001     1023       14.59     0:00:50   0:02:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   728    0         0.002     1023       14.38     0:00:50   0:02:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   736    0         0.002     1023       14.56     0:00:50   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   733    0         0.002     1023       14.50     0:00:50   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   739    0         0.001     1023       14.58     0:00:50   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   729    0         0.002     1023       14.37     0:00:50   0:02:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   738    0         0.002     1023       14.54     0:00:50   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   735    0         0.002     1023       14.48     0:00:50   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   740    0         0.001     1023       14.57     0:00:50   0:02:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   730    0         0.002     1023       14.37     0:00:50   0:02:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   738    0         0.002     1023       14.54     0:00:50   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   736    0         0.002     1023       14.47     0:00:50   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   741    0         0.001     1023       14.55     0:00:51   0:02:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   731    0         0.002     1023       14.35     0:00:51   0:02:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   740    0         0.002     1023       14.51     0:00:50   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   737    0         0.002     1023       14.46     0:00:50   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   742    0         0.001     1023       14.55     0:00:51   0:02:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   732    0         0.002     1023       14.35     0:00:51   0:02:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   741    0         0.002     1023       14.50     0:00:51   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   738    0         0.002     1023       14.46     0:00:51   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   744    0         0.001     1023       14.52     0:00:51   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   733    0         0.002     1023       14.33     0:00:51   0:02:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   742    0         0.002     1023       14.49     0:00:51   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   739    0         0.002     1023       14.44     0:00:51   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   745    0         0.001     1023       14.51     0:00:51   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   734    0         0.002     1023       14.32     0:00:51   0:02:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   743    0         0.002     1023       14.49     0:00:51   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   740    0         0.002     1023       14.43     0:00:51   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   745    0         0.001     1023       14.51     0:00:51   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   735    0         0.002     1023       14.29     0:00:51   0:02:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   744    0         0.002     1023       14.45     0:00:51   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   741    0         0.002     1023       14.40     0:00:51   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   746    0         0.001     1023       14.46     0:00:51   0:02:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   736    0         0.002     1023       14.26     0:00:51   0:02:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   745    0         0.002     1023       14.42     0:00:51   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   742    0         0.002     1023       14.38     0:00:51   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   747    0         0.001     1023       14.45     0:00:51   0:02:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   737    0         0.002     1023       14.26     0:00:51   0:02:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   746    0         0.002     1023       14.42     0:00:51   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   743    0         0.002     1023       14.37     0:00:51   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   749    0         0.001     1023       14.43     0:00:51   0:02:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   738    0         0.002     1023       14.25     0:00:51   0:02:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   747    0         0.002     1023       14.41     0:00:51   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   744    0         0.002     1023       14.36     0:00:51   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   750    0         0.001     1023       14.42     0:00:52   0:02:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   740    0         0.002     1023       14.23     0:00:52   0:02:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   748    0         0.002     1023       14.40     0:00:52   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   746    0         0.002     1023       14.35     0:00:52   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   751    0         0.001     1023       14.41     0:00:52   0:02:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   741    0         0.002     1023       14.22     0:00:52   0:02:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   749    0         0.002     1023       14.38     0:00:52   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   747    0         0.002     1023       14.33     0:00:52   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   752    0         0.001     1023       14.40     0:00:52   0:02:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   742    0         0.002     1023       14.21     0:00:52   0:02:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   750    0         0.002     1023       14.37     0:00:52   0:02:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   748    0         0.002     1023       14.32     0:00:52   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   753    0         0.001     1023       14.39     0:00:52   0:02:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   743    0         0.002     1023       14.20     0:00:52   0:02:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   751    0         0.002     1023       14.36     0:00:52   0:02:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   749    0         0.002     1023       14.31     0:00:52   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   754    0         0.001     1023       14.39     0:00:52   0:02:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   744    0         0.002     1023       14.19     0:00:52   0:02:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   752    0         0.002     1023       14.35     0:00:52   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   750    0         0.002     1023       14.30     0:00:52   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   755    0         0.001     1023       14.38     0:00:52   0:02:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   745    0         0.002     1023       14.19     0:00:52   0:02:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   753    0         0.002     1023       14.35     0:00:52   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   751    0         0.002     1023       14.29     0:00:52   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   756    0         0.001     1023       14.37     0:00:52   0:02:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   746    0         0.002     1023       14.18     0:00:52   0:02:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   755    0         0.002     1023       14.33     0:00:52   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   752    0         0.002     1023       14.29     0:00:52   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   758    0         0.001     1023       14.36     0:00:52   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   748    0         0.002     1023       14.17     0:00:52   0:02:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   756    0         0.002     1023       14.33     0:00:52   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   753    0         0.002     1023       14.28     0:00:52   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   759    0         0.001     1023       14.36     0:00:52   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   749    0         0.002     1023       14.17     0:00:52   0:02:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   757    0         0.002     1023       14.33     0:00:52   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   755    0         0.002     1023       14.27     0:00:52   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   760    0         0.001     1023       14.33     0:00:53   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   750    0         0.002     1023       14.15     0:00:53   0:02:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   758    0         0.002     1023       14.32     0:00:53   0:02:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   755    0         0.002     1023       14.27     0:00:53   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   761    0         0.001     1023       14.33     0:00:53   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   751    0         0.002     1023       14.14     0:00:53   0:02:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   759    0         0.002     1023       14.30     0:00:53   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   757    0         0.002     1023       14.25     0:00:53   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   762    0         0.001     1023       14.33     0:00:53   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   752    0         0.002     1023       14.14     0:00:53   0:02:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   761    0         0.002     1023       14.29     0:00:53   0:02:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   758    0         0.002     1023       14.25     0:00:53   0:02:15   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   764    0         0.001     1023       14.32     0:00:53   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   754    0         0.002     1023       14.13     0:00:53   0:02:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   762    0         0.002     1023       14.29     0:00:53   0:02:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   759    0         0.002     1023       14.24     0:00:53   0:02:15   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   765    0         0.001     1023       14.32     0:00:53   0:02:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   755    0         0.002     1023       14.13     0:00:53   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   763    0         0.002     1023       14.29     0:00:53   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   760    0         0.002     1023       14.24     0:00:53   0:02:15   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   766    0         0.001     1023       14.31     0:00:53   0:02:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   756    0         0.002     1023       14.13     0:00:53   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   765    0         0.002     1023       14.28     0:00:53   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   762    0         0.002     1023       14.23     0:00:53   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   768    0         0.001     1023       14.31     0:00:53   0:02:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   758    0         0.002     1023       14.12     0:00:53   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   766    0         0.002     1023       14.28     0:00:53   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   763    0         0.002     1023       14.23     0:00:53   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   769    0         0.001     1023       14.30     0:00:53   0:02:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   759    0         0.002     1023       14.12     0:00:53   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   768    0         0.002     1023       14.27     0:00:53   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   765    0         0.002     1023       14.22     0:00:53   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   770    0         0.001     1023       14.29     0:00:53   0:02:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   760    0         0.002     1023       14.11     0:00:53   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   769    0         0.002     1023       14.27     0:00:53   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   766    0         0.002     1023       14.21     0:00:53   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   772    0         0.001     1023       14.29     0:00:54   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   762    0         0.002     1023       14.11     0:00:54   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   770    0         0.002     1023       14.27     0:00:54   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   767    0         0.002     1023       14.21     0:00:54   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   772    0         0.001     1023       14.29     0:00:54   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   762    0         0.002     1023       14.11     0:00:54   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   771    0         0.002     1023       14.25     0:00:54   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   768    0         0.002     1023       14.20     0:00:54   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   774    0         0.001     1023       14.27     0:00:54   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   763    0         0.002     1023       14.09     0:00:54   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   772    0         0.002     1023       14.24     0:00:54   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   769    0         0.002     1023       14.19     0:00:54   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   775    0         0.001     1023       14.25     0:00:54   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   765    0         0.002     1023       14.07     0:00:54   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   773    0         0.002     1023       14.22     0:00:54   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   770    0         0.002     1023       14.17     0:00:54   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   776    0         0.001     1023       14.25     0:00:54   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   766    0         0.002     1023       14.06     0:00:54   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   775    0         0.002     1023       14.22     0:00:54   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   772    0         0.002     1023       14.17     0:00:54   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   777    0         0.002     1023       14.24     0:00:54   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   767    0         0.002     1023       14.06     0:00:54   0:02:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   776    0         0.002     1023       14.21     0:00:54   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   773    0         0.002     1023       14.17     0:00:54   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   779    0         0.002     1023       14.24     0:00:54   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   769    0         0.002     1023       14.05     0:00:54   0:02:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   777    0         0.002     1023       14.21     0:00:54   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   775    0         0.002     1023       14.16     0:00:54   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   780    0         0.002     1023       14.23     0:00:54   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   770    0         0.002     1023       14.05     0:00:54   0:02:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   779    0         0.002     1023       14.20     0:00:54   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   776    0         0.002     1023       14.16     0:00:54   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   781    0         0.002     1023       14.23     0:00:54   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   772    0         0.002     1023       14.05     0:00:54   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   780    0         0.002     1023       14.20     0:00:54   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   777    0         0.002     1023       14.15     0:00:54   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   783    0         0.002     1023       14.22     0:00:55   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   773    0         0.002     1023       14.04     0:00:55   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   781    0         0.002     1023       14.20     0:00:55   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   779    0         0.002     1023       14.15     0:00:55   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   784    0         0.002     1023       14.21     0:00:55   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   774    0         0.002     1023       14.04     0:00:55   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   783    0         0.002     1023       14.19     0:00:55   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   780    0         0.002     1023       14.14     0:00:55   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   785    0         0.002     1023       14.20     0:00:55   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   775    0         0.002     1023       14.03     0:00:55   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   784    0         0.002     1023       14.18     0:00:55   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   781    0         0.002     1023       14.13     0:00:55   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   786    0         0.002     1023       14.19     0:00:55   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   776    0         0.002     1023       14.02     0:00:55   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   785    0         0.002     1023       14.17     0:00:55   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   782    0         0.002     1023       14.13     0:00:55   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   787    0         0.002     1023       14.19     0:00:55   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   778    0         0.002     1023       14.01     0:00:55   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   786    0         0.002     1023       14.17     0:00:55   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   783    0         0.002     1023       14.12     0:00:55   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   788    0         0.002     1023       14.18     0:00:55   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   779    0         0.002     1023       14.00     0:00:55   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   787    0         0.002     1023       14.16     0:00:55   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   784    0         0.002     1023       14.11     0:00:55   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   789    0         0.002     1023       14.17     0:00:55   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   780    0         0.002     1023       13.99     0:00:55   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   788    0         0.002     1023       14.15     0:00:55   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   785    0         0.002     1023       14.10     0:00:55   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   790    0         0.002     1023       14.16     0:00:55   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   780    0         0.002     1023       13.99     0:00:55   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   789    0         0.002     1023       14.14     0:00:55   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   786    0         0.002     1023       14.09     0:00:55   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   791    0         0.002     1023       14.14     0:00:56   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   781    0         0.002     1023       13.96     0:00:56   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   790    0         0.002     1023       14.12     0:00:56   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   787    0         0.002     1023       14.07     0:00:56   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   792    0         0.002     1023       14.13     0:00:56   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   782    0         0.002     1023       13.96     0:00:56   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   791    0         0.002     1023       14.11     0:00:56   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   788    0         0.002     1023       14.06     0:00:56   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   793    0         0.002     1023       14.12     0:00:56   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   784    0         0.002     1023       13.94     0:00:56   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   792    0         0.002     1023       14.10     0:00:56   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   789    0         0.002     1023       14.05     0:00:56   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   795    0         0.002     1023       14.11     0:00:56   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   785    0         0.002     1023       13.93     0:00:56   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   793    0         0.002     1023       14.09     0:00:56   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   790    0         0.002     1023       14.04     0:00:56   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   796    0         0.002     1023       14.09     0:00:56   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   786    0         0.002     1023       13.92     0:00:56   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   794    0         0.002     1023       14.08     0:00:56   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   791    0         0.002     1023       14.03     0:00:56   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   797    0         0.002     1023       14.09     0:00:56   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   787    0         0.002     1023       13.91     0:00:56   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   795    0         0.002     1023       14.07     0:00:56   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   792    0         0.002     1023       14.02     0:00:56   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   798    0         0.002     1023       14.08     0:00:56   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   788    0         0.002     1023       13.90     0:00:56   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   796    0         0.002     1023       14.06     0:00:56   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   793    0         0.002     1023       14.01     0:00:56   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   799    0         0.002     1023       14.07     0:00:56   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   789    0         0.002     1023       13.89     0:00:56   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   797    0         0.002     1023       14.05     0:00:56   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   794    0         0.002     1023       13.99     0:00:56   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   800    0         0.002     1023       14.06     0:00:56   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   790    0         0.002     1023       13.89     0:00:56   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   798    0         0.002     1023       14.04     0:00:56   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   795    0         0.002     1023       13.98     0:00:56   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   801    0         0.002     1023       14.05     0:00:57   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   791    0         0.002     1023       13.88     0:00:57   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   800    0         0.002     1023       14.03     0:00:57   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   796    0         0.002     1023       13.97     0:00:57   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   802    0         0.002     1023       14.05     0:00:57   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   792    0         0.002     1023       13.87     0:00:57   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   801    0         0.002     1023       14.02     0:00:57   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   797    0         0.002     1023       13.97     0:00:57   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   803    0         0.002     1023       14.04     0:00:57   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   793    0         0.002     1023       13.86     0:00:57   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   802    0         0.002     1023       14.02     0:00:57   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   798    0         0.002     1023       13.96     0:00:57   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   804    0         0.002     1023       14.01     0:00:57   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   794    0         0.002     1023       13.83     0:00:57   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   802    0         0.002     1023       14.02     0:00:57   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   799    0         0.002     1023       13.93     0:00:57   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   805    0         0.002     1023       14.00     0:00:57   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   795    0         0.002     1023       13.83     0:00:57   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   804    0         0.002     1023       13.98     0:00:57   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   800    0         0.002     1023       13.92     0:00:57   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   806    0         0.002     1023       13.99     0:00:57   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   796    0         0.002     1023       13.82     0:00:57   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   805    0         0.002     1023       13.97     0:00:57   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   801    0         0.002     1023       13.91     0:00:57   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   807    0         0.002     1023       13.99     0:00:57   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   797    0         0.002     1023       13.82     0:00:57   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   806    0         0.002     1023       13.96     0:00:57   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   803    0         0.001     1023       13.91     0:00:57   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   808    0         0.002     1023       13.98     0:00:57   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   798    0         0.002     1023       13.81     0:00:57   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   807    0         0.002     1023       13.96     0:00:57   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   804    0         0.001     1023       13.90     0:00:57   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   809    0         0.002     1023       13.98     0:00:57   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   799    0         0.002     1023       13.80     0:00:57   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   808    0         0.002     1023       13.95     0:00:57   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   805    0         0.001     1023       13.89     0:00:57   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   810    0         0.002     1023       13.97     0:00:58   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   800    0         0.002     1023       13.79     0:00:58   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   809    0         0.002     1023       13.94     0:00:58   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   806    0         0.001     1023       13.88     0:00:58   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   812    0         0.002     1023       13.95     0:00:58   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   801    0         0.002     1023       13.78     0:00:58   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   810    0         0.002     1023       13.93     0:00:58   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   807    0         0.001     1023       13.87     0:00:58   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   813    0         0.002     1023       13.94     0:00:58   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   803    0         0.002     1023       13.77     0:00:58   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   811    0         0.002     1023       13.92     0:00:58   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   808    0         0.001     1023       13.86     0:00:58   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   814    0         0.002     1023       13.93     0:00:58   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   804    0         0.002     1023       13.76     0:00:58   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   812    0         0.002     1023       13.92     0:00:58   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   809    0         0.002     1023       13.86     0:00:58   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   815    0         0.002     1023       13.93     0:00:58   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   805    0         0.002     1023       13.75     0:00:58   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   813    0         0.002     1023       13.91     0:00:58   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   810    0         0.002     1023       13.85     0:00:58   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   816    0         0.002     1023       13.92     0:00:58   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   806    0         0.002     1023       13.74     0:00:58   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   815    0         0.002     1023       13.90     0:00:58   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   811    0         0.002     1023       13.84     0:00:58   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   816    0         0.002     1023       13.92     0:00:58   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   806    0         0.002     1023       13.74     0:00:58   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   815    0         0.002     1023       13.90     0:00:58   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   811    0         0.002     1023       13.84     0:00:58   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   818    0         0.002     1023       13.90     0:00:58   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   808    0         0.002     1023       13.72     0:00:58   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   816    0         0.002     1023       13.87     0:00:58   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   813    0         0.002     1023       13.81     0:00:58   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   819    0         0.002     1023       13.89     0:00:59   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   809    0         0.002     1023       13.72     0:00:58   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   818    0         0.002     1023       13.87     0:00:58   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   814    0         0.002     1023       13.81     0:00:58   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   820    0         0.002     1023       13.89     0:00:59   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   810    0         0.002     1023       13.71     0:00:59   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   819    0         0.002     1023       13.86     0:00:59   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   815    0         0.002     1023       13.80     0:00:59   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   822    0         0.002     1023       13.88     0:00:59   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   812    0         0.002     1023       13.71     0:00:59   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   820    0         0.002     1023       13.86     0:00:59   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   817    0         0.002     1023       13.80     0:00:59   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   823    0         0.002     1023       13.88     0:00:59   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   813    0         0.002     1023       13.71     0:00:59   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   821    0         0.002     1023       13.86     0:00:59   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   818    0         0.002     1023       13.80     0:00:59   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   824    0         0.002     1023       13.87     0:00:59   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   814    0         0.002     1023       13.70     0:00:59   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   823    0         0.002     1023       13.85     0:00:59   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   819    0         0.002     1023       13.80     0:00:59   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   825    0         0.002     1023       13.87     0:00:59   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   815    0         0.002     1023       13.69     0:00:59   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   824    0         0.002     1023       13.84     0:00:59   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   820    0         0.001     1023       13.79     0:00:59   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   826    0         0.002     1023       13.86     0:00:59   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   816    0         0.002     1023       13.68     0:00:59   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   825    0         0.002     1023       13.83     0:00:59   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   821    0         0.002     1023       13.78     0:00:59   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   827    0         0.002     1023       13.85     0:00:59   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   817    0         0.002     1023       13.68     0:00:59   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   826    0         0.002     1023       13.82     0:00:59   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   822    0         0.002     1023       13.77     0:00:59   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   828    0         0.002     1023       13.84     0:00:59   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   818    0         0.002     1023       13.67     0:00:59   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   827    0         0.002     1023       13.81     0:00:59   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   823    0         0.002     1023       13.76     0:00:59   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   828    0         0.002     1023       13.84     0:01:00   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   818    0         0.002     1023       13.67     0:01:00   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   827    0         0.002     1023       13.81     0:01:00   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   824    0         0.002     1023       13.73     0:01:00   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   829    0         0.002     1023       13.81     0:01:00   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   819    0         0.002     1023       13.64     0:01:00   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   828    0         0.002     1023       13.79     0:01:00   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   825    0         0.002     1023       13.73     0:01:00   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   830    0         0.002     1023       13.80     0:01:00   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   820    0         0.002     1023       13.64     0:01:00   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   829    0         0.002     1023       13.78     0:01:00   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   826    0         0.002     1023       13.71     0:01:00   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   832    0         0.002     1023       13.78     0:01:00   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   822    0         0.002     1023       13.62     0:01:00   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   830    0         0.002     1023       13.76     0:01:00   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   827    0         0.002     1023       13.70     0:01:00   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   833    0         0.002     1023       13.77     0:01:00   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   823    0         0.002     1023       13.61     0:01:00   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   831    0         0.002     1023       13.76     0:01:00   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   828    0         0.002     1023       13.70     0:01:00   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   834    0         0.002     1023       13.77     0:01:00   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   824    0         0.002     1023       13.60     0:01:00   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   832    0         0.002     1023       13.75     0:01:00   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   829    0         0.002     1023       13.69     0:01:00   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   835    0         0.002     1023       13.77     0:01:00   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   825    0         0.002     1023       13.60     0:01:00   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   834    0         0.002     1023       13.74     0:01:00   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   830    0         0.002     1023       13.69     0:01:00   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   836    0         0.002     1023       13.76     0:01:00   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   827    0         0.002     1023       13.60     0:01:00   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   835    0         0.002     1023       13.74     0:01:00   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   832    0         0.002     1023       13.68     0:01:00   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   838    0         0.002     1023       13.75     0:01:00   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   828    0         0.002     1023       13.59     0:01:00   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   836    0         0.002     1023       13.73     0:01:00   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   833    0         0.002     1023       13.68     0:01:00   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   839    0         0.002     1023       13.74     0:01:01   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   829    0         0.002     1023       13.58     0:01:01   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   837    0         0.002     1023       13.72     0:01:01   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   834    0         0.002     1023       13.67     0:01:01   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   840    0         0.002     1023       13.73     0:01:01   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   830    0         0.002     1023       13.57     0:01:01   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   838    0         0.002     1023       13.71     0:01:01   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   835    0         0.002     1023       13.67     0:01:01   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   841    0         0.002     1023       13.73     0:01:01   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   831    0         0.002     1023       13.56     0:01:01   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   839    0         0.002     1023       13.70     0:01:01   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   837    0         0.002     1023       13.65     0:01:01   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   842    0         0.002     1023       13.72     0:01:01   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   832    0         0.002     1023       13.56     0:01:01   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   841    0         0.002     1023       13.69     0:01:01   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   838    0         0.002     1023       13.65     0:01:01   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   842    0         0.002     1023       13.72     0:01:01   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   832    0         0.002     1023       13.56     0:01:01   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   841    0         0.002     1023       13.69     0:01:01   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   838    0         0.002     1023       13.65     0:01:01   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   844    0         0.002     1023       13.69     0:01:01   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   833    0         0.002     1023       13.53     0:01:01   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   842    0         0.002     1023       13.67     0:01:01   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   839    0         0.002     1023       13.62     0:01:01   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   844    0         0.002     1023       13.69     0:01:01   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   834    0         0.002     1023       13.53     0:01:01   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   843    0         0.002     1023       13.66     0:01:01   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   840    0         0.002     1023       13.61     0:01:01   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   845    0         0.002     1023       13.67     0:01:01   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   835    0         0.002     1023       13.51     0:01:01   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   844    0         0.002     1023       13.64     0:01:01   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   841    0         0.002     1023       13.59     0:01:01   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   846    0         0.002     1023       13.66     0:01:02   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   836    0         0.002     1023       13.50     0:01:01   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   845    0         0.002     1023       13.64     0:01:01   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   842    0         0.002     1023       13.59     0:01:01   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   848    0         0.002     1023       13.65     0:01:02   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   837    0         0.002     1023       13.49     0:01:02   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   846    0         0.002     1023       13.63     0:01:02   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   843    0         0.002     1023       13.58     0:01:02   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   849    0         0.002     1023       13.65     0:01:02   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   839    0         0.002     1023       13.49     0:01:02   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   847    0         0.002     1023       13.63     0:01:02   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   844    0         0.001     1023       13.58     0:01:02   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   850    0         0.002     1023       13.64     0:01:02   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   840    0         0.002     1023       13.48     0:01:02   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   848    0         0.002     1023       13.62     0:01:02   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   845    0         0.001     1023       13.57     0:01:02   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   851    0         0.002     1023       13.63     0:01:02   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   840    0         0.002     1023       13.48     0:01:02   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   849    0         0.002     1023       13.61     0:01:02   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   846    0         0.001     1023       13.56     0:01:02   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   852    0         0.002     1023       13.62     0:01:02   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   842    0         0.002     1023       13.46     0:01:02   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   850    0         0.002     1023       13.60     0:01:02   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   847    0         0.001     1023       13.55     0:01:02   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   853    0         0.002     1023       13.61     0:01:02   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   842    0         0.002     1023       13.46     0:01:02   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   851    0         0.002     1023       13.59     0:01:02   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   848    0         0.001     1023       13.54     0:01:02   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   853    0         0.002     1023       13.61     0:01:02   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   843    0         0.002     1023       13.45     0:01:02   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   852    0         0.002     1023       13.58     0:01:02   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   848    0         0.001     1023       13.54     0:01:02   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   854    0         0.002     1023       13.58     0:01:02   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   844    0         0.002     1023       13.41     0:01:02   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   853    0         0.002     1023       13.54     0:01:02   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   850    0         0.001     1023       13.50     0:01:02   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   855    0         0.002     1023       13.55     0:01:03   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   845    0         0.002     1023       13.39     0:01:03   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   853    0         0.002     1023       13.54     0:01:03   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   850    0         0.001     1023       13.50     0:01:03   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   856    0         0.002     1023       13.54     0:01:03   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   846    0         0.002     1023       13.38     0:01:03   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   854    0         0.002     1023       13.52     0:01:03   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   851    0         0.001     1023       13.47     0:01:03   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   857    0         0.002     1023       13.53     0:01:03   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   847    0         0.002     1023       13.37     0:01:03   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   855    0         0.002     1023       13.50     0:01:03   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   852    0         0.001     1023       13.47     0:01:03   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   857    0         0.002     1023       13.53     0:01:03   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   848    0         0.002     1023       13.36     0:01:03   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   856    0         0.002     1023       13.49     0:01:03   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   853    0         0.001     1023       13.46     0:01:03   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   858    0         0.002     1023       13.51     0:01:03   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   848    0         0.002     1023       13.36     0:01:03   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   857    0         0.002     1023       13.48     0:01:03   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   854    0         0.001     1023       13.44     0:01:03   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   859    0         0.002     1023       13.50     0:01:03   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   850    0         0.002     1023       13.34     0:01:03   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   858    0         0.002     1023       13.47     0:01:03   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   855    0         0.001     1023       13.43     0:01:03   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   860    0         0.002     1023       13.49     0:01:03   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   851    0         0.002     1023       13.34     0:01:03   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   859    0         0.002     1023       13.46     0:01:03   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   856    0         0.001     1023       13.43     0:01:03   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   861    0         0.002     1023       13.49     0:01:03   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   852    0         0.002     1023       13.33     0:01:03   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   860    0         0.002     1023       13.46     0:01:03   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   857    0         0.001     1023       13.42     0:01:03   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   862    0         0.002     1023       13.48     0:01:04   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   853    0         0.002     1023       13.32     0:01:04   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   861    0         0.002     1023       13.45     0:01:04   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   858    0         0.001     1023       13.41     0:01:04   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   863    0         0.002     1023       13.47     0:01:04   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   853    0         0.002     1023       13.32     0:01:04   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   861    0         0.002     1023       13.45     0:01:04   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   858    0         0.001     1023       13.41     0:01:04   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   863    0         0.002     1023       13.47     0:01:04   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   854    0         0.002     1023       13.29     0:01:04   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   862    0         0.002     1023       13.42     0:01:04   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   859    0         0.001     1023       13.38     0:01:04   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   864    0         0.002     1023       13.43     0:01:04   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   855    0         0.002     1023       13.27     0:01:04   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   863    0         0.002     1023       13.40     0:01:04   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   860    0         0.001     1023       13.36     0:01:04   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   865    0         0.002     1023       13.42     0:01:04   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   856    0         0.002     1023       13.26     0:01:04   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   864    0         0.002     1023       13.39     0:01:04   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   861    0         0.001     1023       13.35     0:01:04   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   867    0         0.002     1023       13.41     0:01:04   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   857    0         0.002     1023       13.26     0:01:04   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   865    0         0.002     1023       13.39     0:01:04   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   862    0         0.001     1023       13.34     0:01:04   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   867    0         0.002     1023       13.41     0:01:04   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   858    0         0.002     1023       13.25     0:01:04   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   866    0         0.002     1023       13.38     0:01:04   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   863    0         0.001     1023       13.34     0:01:04   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   868    0         0.002     1023       13.40     0:01:04   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   858    0         0.002     1023       13.25     0:01:04   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   866    0         0.002     1023       13.38     0:01:04   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   864    0         0.001     1023       13.32     0:01:04   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   869    0         0.002     1023       13.37     0:01:05   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   859    0         0.002     1023       13.23     0:01:05   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   867    0         0.002     1023       13.35     0:01:05   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   865    0         0.001     1023       13.31     0:01:04   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   870    0         0.002     1023       13.37     0:01:05   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   860    0         0.002     1023       13.22     0:01:05   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   868    0         0.002     1023       13.34     0:01:05   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   866    0         0.001     1023       13.30     0:01:05   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   871    0         0.002     1023       13.37     0:01:05   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   861    0         0.002     1023       13.22     0:01:05   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   869    0         0.002     1023       13.34     0:01:05   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   867    0         0.001     1023       13.30     0:01:05   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   872    0         0.002     1023       13.36     0:01:05   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   863    0         0.002     1023       13.21     0:01:05   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   871    0         0.002     1023       13.33     0:01:05   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   868    0         0.001     1023       13.29     0:01:05   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   874    0         0.002     1023       13.36     0:01:05   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   864    0         0.002     1023       13.21     0:01:05   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   872    0         0.002     1023       13.33     0:01:05   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   869    0         0.001     1023       13.29     0:01:05   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   875    0         0.002     1023       13.33     0:01:05   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   865    0         0.002     1023       13.19     0:01:05   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   873    0         0.002     1023       13.30     0:01:05   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   870    0         0.001     1023       13.27     0:01:05   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   876    0         0.002     1023       13.33     0:01:05   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   866    0         0.002     1023       13.18     0:01:05   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   874    0         0.002     1023       13.30     0:01:05   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   871    0         0.001     1023       13.27     0:01:05   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   877    0         0.002     1023       13.32     0:01:05   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   867    0         0.002     1023       13.18     0:01:05   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   875    0         0.002     1023       13.29     0:01:05   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   873    0         0.001     1023       13.25     0:01:05   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   878    0         0.002     1023       13.31     0:01:05   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   868    0         0.002     1023       13.17     0:01:05   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   876    0         0.002     1023       13.28     0:01:05   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   874    0         0.001     1023       13.25     0:01:05   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   879    0         0.002     1023       13.31     0:01:06   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   870    0         0.002     1023       13.16     0:01:06   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   877    0         0.002     1023       13.28     0:01:06   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   875    0         0.001     1023       13.24     0:01:06   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   880    0         0.002     1023       13.31     0:01:06   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   871    0         0.002     1023       13.16     0:01:06   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   878    0         0.002     1023       13.28     0:01:06   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   876    0         0.001     1023       13.24     0:01:06   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   882    0         0.002     1023       13.30     0:01:06   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   872    0         0.002     1023       13.16     0:01:06   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   880    0         0.002     1023       13.27     0:01:06   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   877    0         0.001     1023       13.23     0:01:06   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   883    0         0.002     1023       13.30     0:01:06   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   873    0         0.002     1023       13.15     0:01:06   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   881    0         0.002     1023       13.27     0:01:06   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   878    0         0.001     1023       13.23     0:01:06   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   884    0         0.002     1023       13.29     0:01:06   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   874    0         0.002     1023       13.14     0:01:06   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   882    0         0.002     1023       13.26     0:01:06   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   879    0         0.001     1023       13.23     0:01:06   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   885    0         0.002     1023       13.28     0:01:06   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   875    0         0.002     1023       13.14     0:01:06   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   883    0         0.002     1023       13.26     0:01:06   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   880    0         0.001     1023       13.22     0:01:06   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   886    0         0.002     1023       13.27     0:01:06   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   876    0         0.002     1023       13.13     0:01:06   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   884    0         0.002     1023       13.25     0:01:06   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   882    0         0.001     1023       13.21     0:01:06   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   887    0         0.002     1023       13.27     0:01:06   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   877    0         0.002     1023       13.13     0:01:06   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   885    0         0.002     1023       13.25     0:01:06   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   883    0         0.001     1023       13.20     0:01:06   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   888    0         0.002     1023       13.25     0:01:07   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   878    0         0.002     1023       13.10     0:01:07   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   886    0         0.002     1023       13.22     0:01:07   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   884    0         0.001     1023       13.18     0:01:07   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   889    0         0.002     1023       13.24     0:01:07   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   879    0         0.002     1023       13.10     0:01:07   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   887    0         0.002     1023       13.22     0:01:07   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   885    0         0.001     1023       13.18     0:01:07   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   890    0         0.002     1023       13.24     0:01:07   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   880    0         0.002     1023       13.09     0:01:07   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   889    0         0.002     1023       13.21     0:01:07   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   886    0         0.002     1023       13.17     0:01:07   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   891    0         0.002     1023       13.23     0:01:07   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   881    0         0.002     1023       13.09     0:01:07   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   890    0         0.002     1023       13.20     0:01:07   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   887    0         0.002     1023       13.16     0:01:07   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   892    0         0.002     1023       13.22     0:01:07   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   882    0         0.002     1023       13.08     0:01:07   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   891    0         0.002     1023       13.20     0:01:07   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   888    0         0.001     1023       13.16     0:01:07   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   893    0         0.002     1023       13.22     0:01:07   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   883    0         0.002     1023       13.07     0:01:07   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   892    0         0.002     1023       13.19     0:01:07   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   889    0         0.001     1023       13.15     0:01:07   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   894    0         0.002     1023       13.20     0:01:07   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   884    0         0.002     1023       13.06     0:01:07   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   893    0         0.002     1023       13.18     0:01:07   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   890    0         0.001     1023       13.14     0:01:07   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   895    0         0.002     1023       13.19     0:01:07   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   885    0         0.002     1023       13.05     0:01:07   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   894    0         0.002     1023       13.17     0:01:07   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   891    0         0.001     1023       13.13     0:01:07   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   896    0         0.002     1023       13.19     0:01:08   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   886    0         0.002     1023       13.04     0:01:08   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   894    0         0.002     1023       13.17     0:01:08   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   891    0         0.001     1023       13.13     0:01:08   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   897    0         0.002     1023       13.16     0:01:08   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   887    0         0.002     1023       13.02     0:01:08   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   896    0         0.002     1023       13.14     0:01:08   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   893    0         0.002     1023       13.09     0:01:08   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   898    0         0.002     1023       13.15     0:01:08   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   888    0         0.002     1023       13.01     0:01:08   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   897    0         0.002     1023       13.13     0:01:08   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   893    0         0.002     1023       13.09     0:01:08   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   899    0         0.002     1023       13.14     0:01:08   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   889    0         0.002     1023       13.00     0:01:08   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   897    0         0.002     1023       13.13     0:01:08   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   894    0         0.002     1023       13.09     0:01:08   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   900    0         0.002     1023       13.14     0:01:08   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   890    0         0.002     1023       12.99     0:01:08   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   899    0         0.002     1023       13.12     0:01:08   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   895    0         0.002     1023       13.07     0:01:08   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   901    0         0.002     1023       13.13     0:01:08   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   891    0         0.002     1023       12.99     0:01:08   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   900    0         0.002     1023       13.11     0:01:08   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   896    0         0.002     1023       13.07     0:01:08   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   902    0         0.002     1023       13.13     0:01:08   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   892    0         0.002     1023       12.98     0:01:08   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   900    0         0.002     1023       13.11     0:01:08   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   897    0         0.002     1023       13.06     0:01:08   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   903    0         0.002     1023       13.12     0:01:08   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   893    0         0.002     1023       12.97     0:01:08   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   901    0         0.002     1023       13.10     0:01:08   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   898    0         0.002     1023       13.05     0:01:08   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   904    0         0.002     1023       13.11     0:01:09   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   894    0         0.002     1023       12.96     0:01:09   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   903    0         0.002     1023       13.09     0:01:09   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   899    0         0.002     1023       13.04     0:01:09   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   905    0         0.002     1023       13.11     0:01:09   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   895    0         0.002     1023       12.96     0:01:09   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   904    0         0.002     1023       13.08     0:01:09   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   900    0         0.002     1023       13.04     0:01:09   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   906    0         0.002     1023       13.08     0:01:09   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   896    0         0.002     1023       12.94     0:01:09   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   905    0         0.002     1023       13.06     0:01:09   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   901    0         0.002     1023       13.02     0:01:09   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   907    0         0.002     1023       13.08     0:01:09   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   897    0         0.002     1023       12.93     0:01:09   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   906    0         0.002     1023       13.05     0:01:09   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   902    0         0.002     1023       13.01     0:01:09   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   908    0         0.002     1023       13.07     0:01:09   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   898    0         0.002     1023       12.92     0:01:09   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   907    0         0.002     1023       13.04     0:01:09   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   903    0         0.001     1023       13.00     0:01:09   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   909    0         0.002     1023       13.06     0:01:09   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   899    0         0.002     1023       12.92     0:01:09   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   908    0         0.002     1023       13.04     0:01:09   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   904    0         0.001     1023       12.99     0:01:09   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   910    0         0.002     1023       13.05     0:01:09   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   900    0         0.002     1023       12.91     0:01:09   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   909    0         0.002     1023       13.03     0:01:09   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   905    0         0.001     1023       12.99     0:01:09   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   911    0         0.002     1023       13.04     0:01:09   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   900    0         0.002     1023       12.91     0:01:09   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   909    0         0.002     1023       13.03     0:01:09   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   906    0         0.001     1023       12.98     0:01:09   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   911    0         0.002     1023       13.04     0:01:10   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   901    0         0.002     1023       12.89     0:01:10   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   910    0         0.002     1023       13.02     0:01:10   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   907    0         0.001     1023       12.95     0:01:10   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   912    0         0.002     1023       13.02     0:01:10   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   902    0         0.002     1023       12.87     0:01:10   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   911    0         0.002     1023       12.99     0:01:10   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   908    0         0.001     1023       12.95     0:01:10   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   913    0         0.002     1023       13.02     0:01:10   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   903    0         0.002     1023       12.86     0:01:10   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   912    0         0.002     1023       12.99     0:01:10   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   909    0         0.001     1023       12.95     0:01:10   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   914    0         0.002     1023       12.99     0:01:10   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   904    0         0.002     1023       12.84     0:01:10   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   912    0         0.002     1023       12.99     0:01:10   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   910    0         0.001     1023       12.93     0:01:10   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   915    0         0.002     1023       12.98     0:01:10   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   905    0         0.002     1023       12.84     0:01:10   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   914    0         0.002     1023       12.96     0:01:10   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   911    0         0.001     1023       12.92     0:01:10   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   916    0         0.002     1023       12.98     0:01:10   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   906    0         0.002     1023       12.83     0:01:10   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   915    0         0.002     1023       12.95     0:01:10   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   912    0         0.002     1023       12.92     0:01:10   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   917    0         0.002     1023       12.97     0:01:10   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   907    0         0.002     1023       12.83     0:01:10   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   916    0         0.002     1023       12.94     0:01:10   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   913    0         0.002     1023       12.91     0:01:10   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   918    0         0.002     1023       12.96     0:01:10   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   908    0         0.002     1023       12.82     0:01:10   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   916    0         0.002     1023       12.94     0:01:10   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   914    0         0.002     1023       12.90     0:01:10   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   919    0         0.002     1023       12.96     0:01:11   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   909    0         0.002     1023       12.81     0:01:11   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   917    0         0.002     1023       12.93     0:01:11   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   915    0         0.002     1023       12.90     0:01:11   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   920    0         0.002     1023       12.93     0:01:11   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   910    0         0.002     1023       12.79     0:01:11   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   918    0         0.002     1023       12.91     0:01:11   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   916    0         0.002     1023       12.88     0:01:11   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   921    0         0.002     1023       12.92     0:01:11   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   911    0         0.002     1023       12.78     0:01:11   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   919    0         0.002     1023       12.90     0:01:11   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   917    0         0.002     1023       12.87     0:01:11   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   921    0         0.002     1023       12.92     0:01:11   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   912    0         0.002     1023       12.77     0:01:11   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   920    0         0.002     1023       12.89     0:01:11   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   917    0         0.002     1023       12.87     0:01:11   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   922    0         0.002     1023       12.91     0:01:11   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   912    0         0.002     1023       12.77     0:01:11   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   920    0         0.002     1023       12.89     0:01:11   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   918    0         0.002     1023       12.86     0:01:11   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   922    0         0.002     1023       12.91     0:01:11   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   912    0         0.002     1023       12.77     0:01:11   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   920    0         0.002     1023       12.89     0:01:11   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   918    0         0.002     1023       12.86     0:01:11   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   922    0         0.002     1023       12.91     0:01:11   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   912    0         0.002     1023       12.77     0:01:11   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   921    0         0.002     1023       12.84     0:01:11   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   918    0         0.002     1023       12.86     0:01:11   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   923    0         0.002     1023       12.85     0:01:11   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   913    0         0.002     1023       12.71     0:01:11   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   921    0         0.002     1023       12.84     0:01:11   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   919    0         0.002     1023       12.79     0:01:11   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   924    0         0.002     1023       12.84     0:01:12   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   914    0         0.002     1023       12.69     0:01:12   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   922    0         0.002     1023       12.81     0:01:12   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   920    0         0.002     1023       12.78     0:01:12   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   925    0         0.002     1023       12.82     0:01:12   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   915    0         0.002     511        12.69     0:01:12   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   923    0         0.002     1023       12.80     0:01:12   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   920    0         0.002     1023       12.78     0:01:12   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   925    0         0.002     1023       12.82     0:01:12   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   915    0         0.002     511        12.69     0:01:12   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   923    0         0.002     1023       12.80     0:01:12   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   921    0         0.002     1023       12.76     0:01:12   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   926    0         0.002     1023       12.81     0:01:12   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   916    0         0.002     1023       12.67     0:01:12   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   924    0         0.002     1023       12.78     0:01:12   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   922    0         0.002     1023       12.74     0:01:12   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   927    0         0.002     1023       12.80     0:01:12   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   917    0         0.002     1023       12.67     0:01:12   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   925    0         0.002     1023       12.77     0:01:12   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   923    0         0.002     1023       12.74     0:01:12   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   928    0         0.002     1023       12.79     0:01:12   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   918    0         0.002     1023       12.66     0:01:12   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   926    0         0.002     1023       12.76     0:01:12   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   923    0         0.002     1023       12.74     0:01:12   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   928    0         0.002     1023       12.79     0:01:12   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   918    0         0.002     1023       12.66     0:01:12   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   926    0         0.002     1023       12.76     0:01:12   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   924    0         0.002     1023       12.72     0:01:12   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   929    0         0.002     1023       12.76     0:01:12   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   919    0         0.002     1023       12.63     0:01:12   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   927    0         0.002     1023       12.73     0:01:12   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   925    0         0.002     1023       12.70     0:01:12   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   930    0         0.002     1023       12.75     0:01:12   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   920    0         0.002     1023       12.62     0:01:12   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   928    0         0.002     1023       12.73     0:01:12   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   926    0         0.002     1023       12.69     0:01:12   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   931    0         0.002     1023       12.75     0:01:13   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   921    0         0.002     1023       12.62     0:01:13   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   929    0         0.002     1023       12.72     0:01:13   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   927    0         0.002     1023       12.69     0:01:13   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   932    0         0.002     1023       12.74     0:01:13   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   923    0         0.002     1023       12.61     0:01:13   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   930    0         0.002     1023       12.72     0:01:13   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   928    0         0.002     1023       12.68     0:01:13   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   933    0         0.002     1023       12.73     0:01:13   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   924    0         0.002     1023       12.60     0:01:13   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   931    0         0.002     1023       12.71     0:01:13   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   929    0         0.002     1023       12.68     0:01:13   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   934    0         0.002     1023       12.73     0:01:13   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   925    0         0.002     1023       12.60     0:01:13   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   932    0         0.002     1023       12.70     0:01:13   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   930    0         0.002     1023       12.67     0:01:13   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   935    0         0.002     1023       12.72     0:01:13   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   926    0         0.002     1023       12.60     0:01:13   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   933    0         0.002     1023       12.70     0:01:13   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   931    0         0.002     1023       12.67     0:01:13   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   936    0         0.002     1023       12.70     0:01:13   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   927    0         0.002     1023       12.57     0:01:13   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   934    0         0.002     1023       12.68     0:01:13   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   932    0         0.002     1023       12.65     0:01:13   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   937    0         0.002     1023       12.69     0:01:13   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   928    0         0.002     1023       12.57     0:01:13   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   935    0         0.002     1023       12.67     0:01:13   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   933    0         0.002     1023       12.64     0:01:13   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   938    0         0.002     1023       12.69     0:01:13   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   929    0         0.002     1023       12.56     0:01:13   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   936    0         0.002     1023       12.67     0:01:13   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   934    0         0.002     1023       12.64     0:01:13   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   939    0         0.002     1023       12.68     0:01:14   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   929    0         0.002     1023       12.56     0:01:14   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   937    0         0.002     1023       12.65     0:01:14   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   935    0         0.002     1023       12.63     0:01:14   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   940    0         0.002     1023       12.67     0:01:14   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   930    0         0.002     1023       12.55     0:01:14   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   937    0         0.002     1023       12.65     0:01:14   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   935    0         0.002     1023       12.63     0:01:14   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   940    0         0.002     1023       12.67     0:01:14   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   931    0         0.002     1023       12.53     0:01:14   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   938    0         0.002     1023       12.64     0:01:14   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   936    0         0.002     1023       12.61     0:01:14   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   941    0         0.002     1023       12.65     0:01:14   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   932    0         0.002     1023       12.52     0:01:14   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   939    0         0.002     1023       12.62     0:01:14   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   937    0         0.002     1023       12.60     0:01:14   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   942    0         0.002     1023       12.64     0:01:14   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   933    0         0.002     1023       12.51     0:01:14   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   940    0         0.002     1023       12.62     0:01:14   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   938    0         0.002     1023       12.59     0:01:14   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   943    0         0.002     1023       12.63     0:01:14   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   934    0         0.002     1023       12.51     0:01:14   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   941    0         0.002     1023       12.61     0:01:14   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   939    0         0.002     1023       12.58     0:01:14   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   944    0         0.002     1023       12.63     0:01:14   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   934    0         0.002     1023       12.51     0:01:14   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   942    0         0.002     1023       12.60     0:01:14   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   940    0         0.002     1023       12.58     0:01:14   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   945    0         0.002     1023       12.61     0:01:14   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   935    0         0.002     1023       12.49     0:01:14   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   942    0         0.002     1023       12.60     0:01:14   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   941    0         0.002     1023       12.56     0:01:14   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   946    0         0.002     1023       12.60     0:01:15   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   936    0         0.002     1023       12.48     0:01:15   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   943    0         0.002     1023       12.58     0:01:15   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   942    0         0.002     1023       12.55     0:01:15   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   946    0         0.002     1023       12.60     0:01:15   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   937    0         0.002     1023       12.47     0:01:15   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   944    0         0.002     1023       12.57     0:01:15   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   943    0         0.002     1023       12.54     0:01:15   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   947    0         0.002     1023       12.59     0:01:15   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   938    0         0.002     1023       12.47     0:01:15   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   945    0         0.002     1023       12.56     0:01:15   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   944    0         0.002     1023       12.54     0:01:15   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   948    0         0.002     1023       12.59     0:01:15   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   939    0         0.002     1023       12.46     0:01:15   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   946    0         0.002     1023       12.55     0:01:15   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   944    0         0.002     1023       12.54     0:01:15   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   949    0         0.002     1023       12.57     0:01:15   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   940    0         0.002     1023       12.45     0:01:15   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   947    0         0.002     1023       12.54     0:01:15   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   945    0         0.002     1023       12.52     0:01:15   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   950    0         0.002     1023       12.57     0:01:15   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   941    0         0.002     1023       12.44     0:01:15   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   948    0         0.002     1023       12.53     0:01:15   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   946    0         0.002     1023       12.52     0:01:15   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   951    0         0.002     1023       12.54     0:01:15   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   942    0         0.002     1023       12.42     0:01:15   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   949    0         0.002     1023       12.51     0:01:15   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   947    0         0.002     1023       12.49     0:01:15   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   952    0         0.002     1023       12.54     0:01:15   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   943    0         0.002     1023       12.41     0:01:15   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   950    0         0.002     1023       12.51     0:01:15   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   948    0         0.002     1023       12.49     0:01:15   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   953    0         0.002     1023       12.53     0:01:16   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   944    0         0.002     1023       12.40     0:01:16   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   951    0         0.002     1023       12.50     0:01:16   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   949    0         0.002     1023       12.48     0:01:16   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   954    0         0.002     1023       12.52     0:01:16   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   945    0         0.002     1023       12.40     0:01:16   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   952    0         0.002     1023       12.49     0:01:16   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   950    0         0.002     1023       12.47     0:01:16   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   955    0         0.002     1023       12.52     0:01:16   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   946    0         0.002     1023       12.39     0:01:16   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   953    0         0.002     1023       12.49     0:01:16   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   951    0         0.002     1023       12.47     0:01:16   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   956    0         0.002     1023       12.51     0:01:16   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   947    0         0.002     1023       12.39     0:01:16   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   954    0         0.002     1023       12.48     0:01:16   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   952    0         0.002     1023       12.46     0:01:16   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   957    0         0.002     1023       12.51     0:01:16   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   947    0         0.002     1023       12.39     0:01:16   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   954    0         0.002     1023       12.48     0:01:16   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   953    0         0.002     1023       12.46     0:01:16   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   958    0         0.002     1023       12.50     0:01:16   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   949    0         0.002     1023       12.38     0:01:16   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   956    0         0.002     1023       12.47     0:01:16   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   954    0         0.002     1023       12.45     0:01:16   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   959    0         0.002     1023       12.49     0:01:16   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   950    0         0.002     1023       12.37     0:01:16   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   957    0         0.002     1023       12.47     0:01:16   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   955    0         0.002     1023       12.45     0:01:16   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   960    0         0.002     1023       12.49     0:01:16   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   950    0         0.002     1023       12.37     0:01:16   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   958    0         0.002     1023       12.46     0:01:16   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   956    0         0.002     1023       12.44     0:01:16   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   961    0         0.002     1023       12.48     0:01:17   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   951    0         0.002     1023       12.36     0:01:17   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   959    0         0.002     1023       12.45     0:01:17   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   957    0         0.002     1023       12.43     0:01:17   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   961    0         0.002     1023       12.48     0:01:17   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   952    0         0.002     1023       12.36     0:01:17   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   959    0         0.002     1023       12.45     0:01:17   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   957    0         0.002     1023       12.43     0:01:17   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   962    0         0.002     1023       12.46     0:01:17   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   953    0         0.002     1023       12.34     0:01:17   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   960    0         0.002     1023       12.43     0:01:17   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   958    0         0.002     1023       12.41     0:01:17   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   963    0         0.002     1023       12.46     0:01:17   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   954    0         0.002     1023       12.33     0:01:17   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   961    0         0.002     1023       12.43     0:01:17   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   959    0         0.002     1023       12.41     0:01:17   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   964    0         0.002     1023       12.45     0:01:17   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   955    0         0.002     1023       12.33     0:01:17   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   962    0         0.002     1023       12.43     0:01:17   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   960    0         0.002     1023       12.40     0:01:17   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   965    0         0.002     1023       12.45     0:01:17   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   956    0         0.002     1023       12.32     0:01:17   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   963    0         0.002     1023       12.42     0:01:17   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   961    0         0.002     1023       12.39     0:01:17   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   966    0         0.002     1023       12.44     0:01:17   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   956    0         0.002     1023       12.32     0:01:17   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   964    0         0.002     1023       12.41     0:01:17   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   962    0         0.002     1023       12.39     0:01:17   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   967    0         0.002     1023       12.43     0:01:17   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   957    0         0.002     1023       12.31     0:01:17   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   965    0         0.002     1023       12.41     0:01:17   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   963    0         0.002     1023       12.38     0:01:17   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   968    0         0.002     1023       12.42     0:01:18   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   958    0         0.002     1023       12.31     0:01:18   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   966    0         0.002     1023       12.40     0:01:18   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   964    0         0.002     1023       12.37     0:01:18   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   968    0         0.002     1023       12.42     0:01:18   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   959    0         0.002     1023       12.28     0:01:18   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   966    0         0.002     1023       12.40     0:01:18   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   964    0         0.002     1023       12.37     0:01:18   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   969    0         0.002     1023       12.39     0:01:18   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   960    0         0.002     1023       12.27     0:01:18   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   967    0         0.002     1023       12.37     0:01:18   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   965    0         0.002     1023       12.34     0:01:18   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   970    0         0.002     1023       12.39     0:01:18   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   961    0         0.002     1023       12.27     0:01:18   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   969    0         0.002     1023       12.37     0:01:18   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   966    0         0.002     1023       12.33     0:01:18   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   972    0         0.002     1023       12.38     0:01:18   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   962    0         0.002     1023       12.27     0:01:18   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   970    0         0.002     1023       12.36     0:01:18   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   967    0         0.002     1023       12.33     0:01:18   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   973    0         0.002     1023       12.38     0:01:18   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   963    0         0.002     1023       12.27     0:01:18   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   971    0         0.002     1023       12.36     0:01:18   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   968    0         0.002     1023       12.33     0:01:18   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   973    0         0.002     1023       12.38     0:01:18   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   964    0         0.002     1023       12.25     0:01:18   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   971    0         0.002     1023       12.36     0:01:18   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   969    0         0.002     1023       12.31     0:01:18   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   974    0         0.002     1023       12.36     0:01:18   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   965    0         0.002     1023       12.25     0:01:18   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   973    0         0.002     1023       12.34     0:01:18   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   970    0         0.002     1023       12.31     0:01:18   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   975    0         0.002     1023       12.36     0:01:18   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   966    0         0.002     1023       12.24     0:01:18   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   974    0         0.002     1023       12.34     0:01:18   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   971    0         0.002     1023       12.30     0:01:18   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   976    0         0.002     1023       12.36     0:01:19   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   967    0         0.002     1023       12.24     0:01:19   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   975    0         0.002     1023       12.33     0:01:19   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   972    0         0.002     1023       12.30     0:01:19   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   977    0         0.002     1023       12.35     0:01:19   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   968    0         0.002     1023       12.23     0:01:19   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   976    0         0.002     1023       12.33     0:01:19   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   973    0         0.002     1023       12.30     0:01:19   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   978    0         0.002     1023       12.34     0:01:19   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   969    0         0.002     1023       12.23     0:01:19   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   977    0         0.002     1023       12.32     0:01:19   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   974    0         0.002     1023       12.29     0:01:19   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   980    0         0.002     1023       12.33     0:01:19   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   970    0         0.002     1023       12.21     0:01:19   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   978    0         0.002     1023       12.30     0:01:19   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   975    0         0.002     1023       12.28     0:01:19   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   980    0         0.002     1023       12.33     0:01:19   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   971    0         0.002     1023       12.21     0:01:19   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   979    0         0.002     1023       12.30     0:01:19   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   976    0         0.002     1023       12.27     0:01:19   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   981    0         0.002     1023       12.32     0:01:19   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   972    0         0.002     1023       12.20     0:01:19   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   980    0         0.002     1023       12.29     0:01:19   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   977    0         0.002     1023       12.27     0:01:19   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   982    0         0.002     1023       12.31     0:01:19   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   972    0         0.002     1023       12.20     0:01:19   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   980    0         0.002     1023       12.29     0:01:19   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   978    0         0.002     1023       12.26     0:01:19   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   983    0         0.002     1023       12.30     0:01:19   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   973    0         0.002     1023       12.18     0:01:19   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   981    0         0.002     1023       12.28     0:01:19   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   979    0         0.002     1023       12.24     0:01:19   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   984    0         0.002     1023       12.29     0:01:20   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   974    0         0.002     1023       12.17     0:01:20   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   983    0         0.002     1023       12.27     0:01:20   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   980    0         0.002     1023       12.24     0:01:20   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   985    0         0.002     1023       12.29     0:01:20   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   975    0         0.002     1023       12.17     0:01:20   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   984    0         0.002     1023       12.27     0:01:20   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   981    0         0.002     1023       12.23     0:01:20   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   986    0         0.002     1023       12.27     0:01:20   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   976    0         0.002     1023       12.15     0:01:20   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   985    0         0.002     1023       12.25     0:01:20   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   982    0         0.002     1023       12.22     0:01:20   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   987    0         0.002     1023       12.27     0:01:20   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   977    0         0.002     1023       12.15     0:01:20   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   986    0         0.002     1023       12.25     0:01:20   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   983    0         0.002     1023       12.22     0:01:20   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   988    0         0.002     1023       12.26     0:01:20   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   978    0         0.002     1023       12.14     0:01:20   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   987    0         0.002     1023       12.24     0:01:20   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   984    0         0.002     1023       12.21     0:01:20   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   989    0         0.002     1023       12.26     0:01:20   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   979    0         0.002     1023       12.14     0:01:20   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   988    0         0.002     1023       12.24     0:01:20   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   985    0         0.002     1023       12.21     0:01:20   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   990    0         0.002     1023       12.25     0:01:20   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   980    0         0.002     1023       12.13     0:01:20   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   988    0         0.002     1023       12.24     0:01:20   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   986    0         0.002     1023       12.19     0:01:20   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   991    0         0.002     1023       12.24     0:01:20   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   981    0         0.002     1023       12.12     0:01:20   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   989    0         0.002     1023       12.22     0:01:20   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   986    0         0.002     1023       12.19     0:01:20   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   992    0         0.002     1023       12.23     0:01:21   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   982    0         0.002     1023       12.12     0:01:21   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   990    0         0.002     1023       12.22     0:01:21   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   987    0         0.002     1023       12.19     0:01:21   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   992    0         0.002     1023       12.23     0:01:21   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   983    0         0.002     1023       12.11     0:01:21   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   991    0         0.002     1023       12.21     0:01:21   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   988    0         0.002     1023       12.18     0:01:21   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   994    0         0.002     1023       12.22     0:01:21   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   984    0         0.002     1023       12.10     0:01:21   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   992    0         0.002     1023       12.20     0:01:21   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   990    0         0.002     1023       12.17     0:01:21   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   995    0         0.002     1023       12.22     0:01:21   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   985    0         0.002     1023       12.10     0:01:21   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   994    0         0.002     1023       12.20     0:01:21   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   991    0         0.002     1023       12.17     0:01:21   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   996    0         0.002     1023       12.22     0:01:21   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   987    0         0.002     1023       12.10     0:01:21   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   995    0         0.002     1023       12.20     0:01:21   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   992    0         0.002     1023       12.17     0:01:21   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   996    0         0.002     1023       12.22     0:01:21   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   987    0         0.002     1023       12.10     0:01:21   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   995    0         0.002     1023       12.20     0:01:21   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   992    0         0.002     1023       12.17     0:01:21   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   998    0         0.002     1023       12.20     0:01:21   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   988    0         0.002     1023       12.08     0:01:21   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   996    0         0.002     1023       12.19     0:01:21   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   994    0         0.002     1023       12.15     0:01:21   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   999    0         0.002     1023       12.20     0:01:21   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   989    0         0.002     1023       12.08     0:01:21   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   997    0         0.002     1023       12.18     0:01:21   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   994    0         0.002     1023       12.15     0:01:21   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1000   0         0.002     1023       12.19     0:01:22   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   990    0         0.002     1023       12.08     0:01:22   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   998    0         0.002     1023       12.18     0:01:22   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   996    0         0.002     1023       12.14     0:01:22   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1001   0         0.002     1023       12.19     0:01:22   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   991    0         0.002     1023       12.07     0:01:22   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   999    0         0.002     1023       12.17     0:01:22   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   997    0         0.002     1023       12.14     0:01:22   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1002   0         0.002     1023       12.18     0:01:22   0:02:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   992    0         0.002     1023       12.07     0:01:22   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1000   0         0.002     1023       12.17     0:01:22   0:02:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   998    0         0.002     1023       12.14     0:01:22   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1003   0         0.002     1023       12.18     0:01:22   0:02:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   993    0         0.002     1023       12.07     0:01:22   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1002   0         0.002     1023       12.17     0:01:22   0:02:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   999    0         0.002     1023       12.14     0:01:22   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1004   0         0.002     1023       12.18     0:01:22   0:02:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   995    0         0.002     1023       12.07     0:01:22   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1003   0         0.002     1023       12.17     0:01:22   0:02:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1000   0         0.002     1023       12.13     0:01:22   0:02:00   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1005   0         0.002     1023       12.18     0:01:22   0:02:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   995    0         0.002     1023       12.07     0:01:22   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1003   0         0.002     1023       12.17     0:01:22   0:02:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1001   0         0.002     1023       12.13     0:01:22   0:02:00   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1006   0         0.002     1023       12.16     0:01:22   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   996    0         0.002     1023       12.04     0:01:22   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1004   0         0.002     1023       12.14     0:01:22   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1002   0         0.002     1023       12.11     0:01:22   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1007   0         0.002     1023       12.15     0:01:22   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   997    0         0.002     1023       12.04     0:01:22   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1005   0         0.002     1023       12.14     0:01:22   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1003   0         0.002     1023       12.10     0:01:22   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1008   0         0.002     1023       12.15     0:01:23   0:02:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   998    0         0.002     1023       12.03     0:01:23   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1006   0         0.002     1023       12.13     0:01:23   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1004   0         0.002     1023       12.10     0:01:23   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1009   0         0.002     1023       12.14     0:01:23   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   999    0         0.002     1023       12.02     0:01:23   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1007   0         0.002     1023       12.12     0:01:23   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1005   0         0.002     1023       12.09     0:01:23   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1010   0         0.002     1023       12.13     0:01:23   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1000   0         0.002     1023       12.02     0:01:23   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1008   0         0.002     1023       12.12     0:01:23   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1006   0         0.002     1023       12.08     0:01:23   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1011   0         0.002     1023       12.12     0:01:23   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1001   0         0.002     1023       12.01     0:01:23   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1009   0         0.002     1023       12.11     0:01:23   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1007   0         0.002     1023       12.08     0:01:23   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1011   0         0.002     1023       12.12     0:01:23   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1002   0         0.002     1023       12.00     0:01:23   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1010   0         0.002     1023       12.11     0:01:23   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1007   0         0.002     1023       12.08     0:01:23   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1012   0         0.002     1023       12.11     0:01:23   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1003   0         0.002     1023       11.99     0:01:23   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1011   0         0.002     1023       12.10     0:01:23   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1008   0         0.002     1023       12.07     0:01:23   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1013   0         0.002     1023       12.11     0:01:23   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1004   0         0.002     1023       11.99     0:01:23   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1012   0         0.002     1023       12.09     0:01:23   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1009   0         0.002     1023       12.06     0:01:23   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1014   0         0.002     1023       12.10     0:01:23   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1005   0         0.002     1023       11.98     0:01:23   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1013   0         0.002     1023       12.08     0:01:23   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1010   0         0.002     1023       12.05     0:01:23   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1015   0         0.002     1023       12.09     0:01:24   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1005   0         0.002     1023       11.98     0:01:24   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1013   0         0.002     1023       12.08     0:01:24   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1011   0         0.002     1023       12.04     0:01:24   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1015   0         0.002     1023       12.09     0:01:24   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1006   0         0.002     1023       11.96     0:01:24   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1014   0         0.002     1023       12.06     0:01:24   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1011   0         0.002     1023       12.04     0:01:24   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1016   0         0.002     1023       12.07     0:01:24   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1007   0         0.002     1023       11.95     0:01:24   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1015   0         0.002     1023       12.05     0:01:24   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1012   0         0.002     1023       12.02     0:01:24   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1017   0         0.002     1023       12.06     0:01:24   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1008   0         0.002     1023       11.95     0:01:24   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1016   0         0.002     1023       12.05     0:01:24   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1013   0         0.002     1023       12.02     0:01:24   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1018   0         0.002     1023       12.06     0:01:24   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1008   0         0.002     1023       11.95     0:01:24   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1016   0         0.002     1023       12.05     0:01:24   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1014   0         0.002     1023       12.01     0:01:24   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1019   0         0.002     1023       12.04     0:01:24   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1009   0         0.002     1023       11.93     0:01:24   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1017   0         0.002     1023       12.03     0:01:24   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1015   0         0.002     1023       12.00     0:01:24   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1020   0         0.002     1023       12.04     0:01:24   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1010   0         0.002     1023       11.93     0:01:24   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1019   0         0.002     1023       12.03     0:01:24   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1016   0         0.002     1023       11.99     0:01:24   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1021   0         0.002     1023       12.04     0:01:24   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1011   0         0.002     1023       11.93     0:01:24   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1020   0         0.002     1023       12.03     0:01:24   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1017   0         0.002     1023       11.99     0:01:24   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1022   0         0.002     1023       12.04     0:01:25   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1012   0         0.002     1023       11.92     0:01:25   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1021   0         0.002     1023       12.02     0:01:25   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1018   0         0.002     1023       11.99     0:01:25   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1023   0         0.002     1023       12.02     0:01:25   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1013   0         0.002     1023       11.91     0:01:25   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1022   0         0.002     1023       12.01     0:01:25   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1019   0         0.002     1023       11.97     0:01:25   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1023   0         0.002     1023       12.02     0:01:25   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1014   0         0.002     1023       11.90     0:01:25   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1022   0         0.002     1023       12.01     0:01:25   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1019   0         0.002     1023       11.97     0:01:25   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1024   0         0.002     1023       12.01     0:01:25   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1015   0         0.002     1023       11.90     0:01:25   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1023   0         0.002     1023       11.99     0:01:25   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1020   0         0.002     1023       11.96     0:01:25   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1025   0         0.002     1023       12.01     0:01:25   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1016   0         0.002     1023       11.90     0:01:25   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1024   0         0.002     1023       11.98     0:01:25   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1021   0         0.002     1023       11.96     0:01:25   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1026   0         0.002     1023       12.00     0:01:25   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1017   0         0.002     1023       11.89     0:01:25   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1025   0         0.002     1023       11.98     0:01:25   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1022   0         0.002     1023       11.95     0:01:25   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1027   0         0.002     1023       12.00     0:01:25   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1018   0         0.002     1023       11.89     0:01:25   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1026   0         0.002     1023       11.98     0:01:25   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1023   0         0.002     1023       11.95     0:01:25   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1028   0         0.002     1023       11.99     0:01:25   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1019   0         0.002     1023       11.89     0:01:25   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1027   0         0.002     1023       11.98     0:01:25   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1024   0         0.002     1023       11.95     0:01:25   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1029   0         0.002     1023       11.99     0:01:25   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1020   0         0.002     1023       11.89     0:01:25   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1028   0         0.002     1023       11.97     0:01:25   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1025   0         0.002     1023       11.95     0:01:25   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1030   0         0.002     1023       11.97     0:01:26   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1021   0         0.002     1023       11.87     0:01:26   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1029   0         0.002     1023       11.96     0:01:26   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1026   0         0.002     1023       11.93     0:01:26   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1032   0         0.002     1023       11.97     0:01:26   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1022   0         0.002     1023       11.86     0:01:26   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1030   0         0.002     1023       11.95     0:01:26   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1028   0         0.002     1023       11.92     0:01:26   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1033   0         0.002     1023       11.97     0:01:26   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1023   0         0.002     1023       11.86     0:01:26   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1031   0         0.002     1023       11.95     0:01:26   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1029   0         0.002     1023       11.92     0:01:26   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1034   0         0.002     1023       11.96     0:01:26   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1024   0         0.002     1023       11.86     0:01:26   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1032   0         0.002     1023       11.94     0:01:26   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1030   0         0.002     1023       11.91     0:01:26   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1035   0         0.002     1023       11.96     0:01:26   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1026   0         0.002     1023       11.85     0:01:26   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1033   0         0.002     1023       11.94     0:01:26   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1031   0         0.002     1023       11.91     0:01:26   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1036   0         0.002     1023       11.96     0:01:26   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1027   0         0.002     1023       11.84     0:01:26   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1034   0         0.002     1023       11.93     0:01:26   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1032   0         0.002     1023       11.91     0:01:26   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1037   0         0.002     1023       11.95     0:01:26   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1028   0         0.002     1023       11.84     0:01:26   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1035   0         0.002     1023       11.93     0:01:26   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1033   0         0.002     1023       11.90     0:01:26   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1038   0         0.002     1023       11.93     0:01:27   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1029   0         0.002     1023       11.82     0:01:27   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1036   0         0.002     1023       11.91     0:01:27   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1034   0         0.002     1023       11.88     0:01:27   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1039   0         0.002     1023       11.93     0:01:27   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1030   0         0.002     1023       11.82     0:01:27   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1037   0         0.002     1023       11.91     0:01:27   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1035   0         0.002     1023       11.88     0:01:27   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1040   0         0.002     1023       11.92     0:01:27   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1030   0         0.002     1023       11.82     0:01:27   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1038   0         0.002     1023       11.90     0:01:27   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1036   0         0.002     1023       11.87     0:01:27   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1041   0         0.002     1023       11.91     0:01:27   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1031   0         0.002     1023       11.81     0:01:27   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1039   0         0.002     1023       11.89     0:01:27   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1037   0         0.002     1023       11.87     0:01:27   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1042   0         0.002     1023       11.91     0:01:27   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1032   0         0.002     1023       11.80     0:01:27   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1040   0         0.002     1023       11.89     0:01:27   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1038   0         0.002     1023       11.86     0:01:27   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1043   0         0.002     1023       11.91     0:01:27   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1034   0         0.002     1023       11.80     0:01:27   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1041   0         0.002     1023       11.89     0:01:27   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1039   0         0.002     1023       11.86     0:01:27   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1044   0         0.002     1023       11.91     0:01:27   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1035   0         0.002     1023       11.80     0:01:27   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1042   0         0.002     1023       11.88     0:01:27   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1040   0         0.002     1023       11.86     0:01:27   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1045   0         0.002     1023       11.90     0:01:27   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1035   0         0.002     1023       11.80     0:01:27   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1043   0         0.002     1023       11.88     0:01:27   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1040   0         0.002     1023       11.86     0:01:27   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1046   0         0.002     1023       11.88     0:01:28   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1036   0         0.002     1023       11.78     0:01:28   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1044   0         0.002     1023       11.86     0:01:28   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1042   0         0.002     1023       11.84     0:01:28   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1047   0         0.002     1023       11.88     0:01:28   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1037   0         0.002     1023       11.77     0:01:28   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1045   0         0.002     1023       11.86     0:01:28   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1043   0         0.002     1023       11.83     0:01:28   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1048   0         0.002     1023       11.87     0:01:28   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1038   0         0.002     1023       11.77     0:01:28   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1046   0         0.002     1023       11.86     0:01:28   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1044   0         0.002     1023       11.83     0:01:28   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1048   0         0.002     1023       11.87     0:01:28   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1039   0         0.002     1023       11.77     0:01:28   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1047   0         0.002     1023       11.85     0:01:28   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1044   0         0.002     1023       11.83     0:01:28   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1049   0         0.002     1023       11.87     0:01:28   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1040   0         0.002     1023       11.76     0:01:28   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1048   0         0.002     1023       11.85     0:01:28   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1045   0         0.002     1023       11.82     0:01:28   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1051   0         0.002     1023       11.86     0:01:28   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1041   0         0.002     1023       11.76     0:01:28   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1049   0         0.002     1023       11.84     0:01:28   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1046   0         0.002     1023       11.82     0:01:28   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1052   0         0.002     1023       11.86     0:01:28   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1043   0         0.002     1023       11.76     0:01:28   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1050   0         0.002     1023       11.84     0:01:28   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1048   0         0.002     1023       11.82     0:01:28   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1053   0         0.002     1023       11.86     0:01:28   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1044   0         0.002     1023       11.75     0:01:28   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1051   0         0.002     1023       11.84     0:01:28   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1049   0         0.002     1023       11.82     0:01:28   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1053   0         0.002     1023       11.86     0:01:29   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1044   0         0.002     1023       11.75     0:01:29   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1052   0         0.002     1023       11.82     0:01:29   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1050   0         0.002     1023       11.79     0:01:29   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1054   0         0.002     1023       11.83     0:01:29   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1045   0         0.002     1023       11.73     0:01:29   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1053   0         0.002     1023       11.81     0:01:29   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1051   0         0.002     1023       11.79     0:01:29   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1055   0         0.002     1023       11.82     0:01:29   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1046   0         0.002     1023       11.73     0:01:29   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1054   0         0.002     1023       11.81     0:01:29   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1052   0         0.002     1023       11.79     0:01:29   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1056   0         0.002     1023       11.82     0:01:29   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1047   0         0.002     1023       11.72     0:01:29   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1055   0         0.002     1023       11.81     0:01:29   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1053   0         0.002     1023       11.78     0:01:29   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1057   0         0.002     1023       11.82     0:01:29   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1048   0         0.002     1023       11.72     0:01:29   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1056   0         0.002     1023       11.81     0:01:29   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1054   0         0.002     1023       11.78     0:01:29   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1058   0         0.002     1023       11.82     0:01:29   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1049   0         0.002     1023       11.72     0:01:29   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1057   0         0.002     1023       11.81     0:01:29   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1055   0         0.002     1023       11.78     0:01:29   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1059   0         0.002     1023       11.81     0:01:29   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1050   0         0.002     1023       11.72     0:01:29   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1058   0         0.002     1023       11.80     0:01:29   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1056   0         0.002     1023       11.78     0:01:29   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1060   0         0.002     1023       11.81     0:01:29   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1051   0         0.002     1023       11.71     0:01:29   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1059   0         0.002     1023       11.80     0:01:29   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1057   0         0.002     1023       11.77     0:01:29   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1061   0         0.002     1023       11.79     0:01:30   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1052   0         0.002     1023       11.69     0:01:30   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1060   0         0.002     1023       11.78     0:01:30   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1057   0         0.002     1023       11.77     0:01:30   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1062   0         0.002     1023       11.78     0:01:30   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1053   0         0.002     1023       11.68     0:01:30   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1061   0         0.002     1023       11.77     0:01:30   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1058   0         0.002     1023       11.75     0:01:30   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1063   0         0.002     1023       11.78     0:01:30   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1054   0         0.002     1023       11.68     0:01:30   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1062   0         0.002     1023       11.77     0:01:30   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1059   0         0.002     1023       11.74     0:01:30   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1064   0         0.002     1023       11.78     0:01:30   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1055   0         0.002     1023       11.68     0:01:30   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1063   0         0.002     1023       11.76     0:01:30   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1060   0         0.002     1023       11.74     0:01:30   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1065   0         0.002     1023       11.77     0:01:30   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1056   0         0.002     1023       11.67     0:01:30   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1064   0         0.002     1023       11.76     0:01:30   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1061   0         0.002     1023       11.73     0:01:30   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1066   0         0.002     1023       11.77     0:01:30   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1057   0         0.002     1023       11.67     0:01:30   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1065   0         0.002     1023       11.76     0:01:30   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1062   0         0.002     1023       11.73     0:01:30   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1067   0         0.002     1023       11.77     0:01:30   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1058   0         0.002     1023       11.67     0:01:30   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1066   0         0.002     1023       11.75     0:01:30   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1063   0         0.002     1023       11.73     0:01:30   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1068   0         0.002     1023       11.76     0:01:30   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1059   0         0.002     1023       11.67     0:01:30   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1067   0         0.002     1023       11.75     0:01:30   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1064   0         0.002     1023       11.72     0:01:30   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1068   0         0.002     1023       11.76     0:01:31   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1059   0         0.002     1023       11.67     0:01:31   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1067   0         0.002     1023       11.75     0:01:31   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1064   0         0.002     1023       11.72     0:01:31   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1069   0         0.002     1023       11.74     0:01:31   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1060   0         0.002     1023       11.64     0:01:31   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1068   0         0.002     1023       11.73     0:01:31   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1065   0         0.002     1023       11.70     0:01:31   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1070   0         0.002     1023       11.74     0:01:31   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1061   0         0.002     1023       11.64     0:01:31   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1069   0         0.002     1023       11.72     0:01:31   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1066   0         0.002     1023       11.69     0:01:31   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1071   0         0.002     1023       11.74     0:01:31   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1062   0         0.002     1023       11.64     0:01:31   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1070   0         0.002     1023       11.72     0:01:31   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1067   0         0.002     1023       11.69     0:01:31   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1072   0         0.002     1023       11.73     0:01:31   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1063   0         0.002     1023       11.63     0:01:31   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1071   0         0.002     1023       11.71     0:01:31   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1068   0         0.002     1023       11.68     0:01:31   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1073   0         0.002     1023       11.73     0:01:31   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1064   0         0.002     1023       11.63     0:01:31   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1072   0         0.002     1023       11.71     0:01:31   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1069   0         0.002     1023       11.68     0:01:31   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1075   0         0.002     1023       11.72     0:01:31   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1066   0         0.002     1023       11.63     0:01:31   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1073   0         0.002     1023       11.71     0:01:31   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1070   0         0.002     1023       11.68     0:01:31   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1076   0         0.002     1023       11.72     0:01:31   0:02:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1067   0         0.002     1023       11.62     0:01:31   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1074   0         0.002     1023       11.71     0:01:31   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1072   0         0.002     1023       11.68     0:01:31   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1076   0         0.002     1023       11.72     0:01:31   0:02:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1067   0         0.002     1023       11.62     0:01:31   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1075   0         0.002     1023       11.71     0:01:31   0:02:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1072   0         0.002     1023       11.68     0:01:31   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1077   0         0.002     1023       11.70     0:01:32   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1068   0         0.002     1023       11.61     0:01:32   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1075   0         0.002     1023       11.71     0:01:32   0:02:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1073   0         0.002     1023       11.66     0:01:32   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1078   0         0.002     1023       11.70     0:01:32   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1069   0         0.002     1023       11.60     0:01:32   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1076   0         0.002     1023       11.68     0:01:32   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1074   0         0.002     1023       11.66     0:01:32   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1079   0         0.002     1023       11.70     0:01:32   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1071   0         0.002     1023       11.61     0:01:32   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1077   0         0.002     1023       11.68     0:01:32   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1075   0         0.002     1023       11.66     0:01:32   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1080   0         0.002     1023       11.70     0:01:32   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1072   0         0.002     1023       11.60     0:01:32   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1078   0         0.002     1023       11.68     0:01:32   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1077   0         0.002     1023       11.66     0:01:32   0:02:00   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1081   0         0.002     1023       11.70     0:01:32   0:02:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1073   0         0.002     1023       11.60     0:01:32   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1079   0         0.002     1023       11.67     0:01:32   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1078   0         0.002     1023       11.66     0:01:32   0:02:00   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1082   0         0.002     1023       11.69     0:01:32   0:02:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1074   0         0.002     1023       11.60     0:01:32   0:02:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1080   0         0.002     1023       11.67     0:01:32   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1079   0         0.002     1023       11.65     0:01:32   0:02:00   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1083   0         0.002     1023       11.69     0:01:32   0:02:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1075   0         0.002     1023       11.60     0:01:32   0:02:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1081   0         0.002     1023       11.67     0:01:32   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1080   0         0.002     1023       11.65     0:01:32   0:01:59   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1084   0         0.002     1023       11.69     0:01:32   0:01:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1076   0         0.002     1023       11.59     0:01:32   0:02:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1082   0         0.002     1023       11.66     0:01:32   0:02:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1081   0         0.002     1023       11.64     0:01:32   0:01:59   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1085   0         0.002     1023       11.68     0:01:32   0:01:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1077   0         0.002     1023       11.59     0:01:32   0:01:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1083   0         0.002     1023       11.66     0:01:32   0:02:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1081   0         0.002     1023       11.64     0:01:32   0:01:59   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1086   0         0.002     1023       11.67     0:01:33   0:01:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1078   0         0.002     1023       11.58     0:01:33   0:01:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1084   0         0.002     1023       11.65     0:01:33   0:02:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1082   0         0.002     1023       11.63     0:01:33   0:01:59   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1087   0         0.002     1023       11.67     0:01:33   0:01:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1079   0         0.002     1023       11.58     0:01:33   0:01:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1085   0         0.002     1023       11.65     0:01:33   0:01:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1084   0         0.002     1023       11.63     0:01:33   0:01:59   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1089   0         0.002     1023       11.67     0:01:33   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1080   0         0.002     1023       11.58     0:01:33   0:01:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1087   0         0.002     1023       11.65     0:01:33   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1085   0         0.002     1023       11.63     0:01:33   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1090   0         0.002     1023       11.67     0:01:33   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1081   0         0.002     1023       11.58     0:01:33   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1088   0         0.002     1023       11.65     0:01:33   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1086   0         0.002     1023       11.63     0:01:33   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1091   0         0.002     1023       11.67     0:01:33   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1082   0         0.002     1023       11.58     0:01:33   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1089   0         0.002     1023       11.64     0:01:33   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1087   0         0.002     1023       11.63     0:01:33   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1092   0         0.002     1023       11.67     0:01:33   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1083   0         0.002     1023       11.57     0:01:33   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1090   0         0.002     1023       11.64     0:01:33   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1088   0         0.002     1023       11.62     0:01:33   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1093   0         0.002     1023       11.66     0:01:33   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1084   0         0.002     1023       11.57     0:01:33   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1091   0         0.002     1023       11.64     0:01:33   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1089   0         0.002     1023       11.62     0:01:33   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1094   0         0.002     1023       11.66     0:01:33   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1085   0         0.002     1023       11.57     0:01:33   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1092   0         0.002     1023       11.63     0:01:33   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1090   0         0.002     1023       11.62     0:01:33   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1095   0         0.002     1023       11.66     0:01:34   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1086   0         0.002     1023       11.56     0:01:34   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1093   0         0.002     1023       11.63     0:01:34   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1091   0         0.002     1023       11.61     0:01:34   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1096   0         0.002     1023       11.64     0:01:34   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1086   0         0.002     1023       11.56     0:01:34   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1093   0         0.002     1023       11.63     0:01:34   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1091   0         0.002     1023       11.61     0:01:34   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1097   0         0.002     1023       11.64     0:01:34   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1088   0         0.002     1023       11.55     0:01:34   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1094   0         0.002     1023       11.62     0:01:34   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1093   0         0.002     1023       11.60     0:01:34   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1098   0         0.002     1023       11.64     0:01:34   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1089   0         0.002     1023       11.55     0:01:34   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1095   0         0.002     1023       11.61     0:01:34   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1094   0         0.002     1023       11.60     0:01:34   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1099   0         0.002     1023       11.64     0:01:34   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1091   0         0.002     1023       11.55     0:01:34   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1096   0         0.002     1023       11.61     0:01:34   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1095   0         0.002     1023       11.60     0:01:34   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1100   0         0.002     1023       11.64     0:01:34   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1091   0         0.002     1023       11.55     0:01:34   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1097   0         0.002     1023       11.61     0:01:34   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1096   0         0.002     1023       11.60     0:01:34   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1102   0         0.002     1023       11.63     0:01:34   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1093   0         0.002     1023       11.54     0:01:34   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1099   0         0.002     1023       11.60     0:01:34   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1097   0         0.002     1023       11.59     0:01:34   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1103   0         0.002     1023       11.63     0:01:34   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1094   0         0.002     1023       11.53     0:01:34   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1100   0         0.002     1023       11.60     0:01:34   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1098   0         0.002     1023       11.59     0:01:34   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1104   0         0.002     1023       11.63     0:01:34   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1095   0         0.002     1023       11.53     0:01:34   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1101   0         0.002     1023       11.60     0:01:34   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1099   0         0.002     1023       11.58     0:01:34   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1105   0         0.002     1023       11.62     0:01:35   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1096   0         0.002     1023       11.53     0:01:35   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1102   0         0.002     1023       11.59     0:01:35   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1100   0         0.002     1023       11.58     0:01:35   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1105   0         0.002     1023       11.62     0:01:35   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1096   0         0.002     1023       11.53     0:01:35   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1102   0         0.002     1023       11.59     0:01:35   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1101   0         0.002     1023       11.58     0:01:35   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1106   0         0.002     1023       11.61     0:01:35   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1097   0         0.002     1023       11.52     0:01:35   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1103   0         0.002     1023       11.58     0:01:35   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1102   0         0.002     1023       11.57     0:01:35   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1107   0         0.002     1023       11.61     0:01:35   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1098   0         0.002     1023       11.51     0:01:35   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1104   0         0.002     1023       11.58     0:01:35   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1103   0         0.002     1023       11.56     0:01:35   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1108   0         0.002     1023       11.61     0:01:35   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1099   0         0.002     1023       11.51     0:01:35   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1105   0         0.002     1023       11.58     0:01:35   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1104   0         0.002     1023       11.56     0:01:35   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1109   0         0.002     1023       11.61     0:01:35   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1100   0         0.002     1023       11.51     0:01:35   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1106   0         0.002     1023       11.57     0:01:35   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1105   0         0.002     1023       11.56     0:01:35   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1110   0         0.002     1023       11.60     0:01:35   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1101   0         0.002     1023       11.51     0:01:35   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1107   0         0.002     1023       11.57     0:01:35   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1106   0         0.002     1023       11.56     0:01:35   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1112   0         0.002     1023       11.60     0:01:35   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1102   0         0.002     1023       11.50     0:01:35   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1108   0         0.002     1023       11.57     0:01:35   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1107   0         0.002     1023       11.55     0:01:35   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1113   0         0.002     1023       11.59     0:01:36   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1103   0         0.002     1023       11.50     0:01:35   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1110   0         0.002     1023       11.56     0:01:35   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1108   0         0.002     1023       11.55     0:01:35   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1114   0         0.002     1023       11.59     0:01:36   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1104   0         0.002     1023       11.50     0:01:36   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1111   0         0.002     1023       11.56     0:01:36   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1109   0         0.002     1023       11.55     0:01:36   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1114   0         0.002     1023       11.59     0:01:36   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1105   0         0.002     1023       11.50     0:01:36   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1112   0         0.002     1023       11.56     0:01:36   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1110   0         0.002     1023       11.55     0:01:36   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1115   0         0.002     1023       11.59     0:01:36   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1106   0         0.002     1023       11.49     0:01:36   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1112   0         0.002     1023       11.56     0:01:36   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1110   0         0.002     1023       11.55     0:01:36   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1115   0         0.002     1023       11.59     0:01:36   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1106   0         0.002     1023       11.49     0:01:36   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1112   0         0.002     1023       11.56     0:01:36   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1111   0         0.002     1023       11.53     0:01:36   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1117   0         0.002     1023       11.56     0:01:36   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1107   0         0.002     1023       11.47     0:01:36   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1114   0         0.002     1023       11.54     0:01:36   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1112   0         0.002     1023       11.52     0:01:36   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1118   0         0.002     1023       11.56     0:01:36   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1109   0         0.002     1023       11.47     0:01:36   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1115   0         0.002     1023       11.54     0:01:36   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1113   0         0.002     1023       11.52     0:01:36   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1118   0         0.002     1023       11.56     0:01:36   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1110   0         0.002     1023       11.47     0:01:36   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1116   0         0.002     1023       11.53     0:01:36   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1114   0         0.002     1023       11.52     0:01:36   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1119   0         0.002     1023       11.56     0:01:36   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1110   0         0.002     1023       11.47     0:01:36   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1117   0         0.002     1023       11.53     0:01:36   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1115   0         0.002     1023       11.51     0:01:36   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1120   0         0.002     1023       11.55     0:01:37   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1111   0         0.002     1023       11.46     0:01:37   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1118   0         0.002     1023       11.52     0:01:37   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1116   0         0.002     1023       11.51     0:01:37   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1121   0         0.002     1023       11.55     0:01:37   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1112   0         0.002     1023       11.45     0:01:37   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1119   0         0.002     1023       11.52     0:01:37   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1117   0         0.002     1023       11.50     0:01:37   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1122   0         0.002     1023       11.54     0:01:37   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1113   0         0.002     1023       11.45     0:01:37   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1119   0         0.002     1023       11.52     0:01:37   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1118   0         0.002     1023       11.50     0:01:37   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1123   0         0.002     1023       11.53     0:01:37   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1114   0         0.002     1023       11.44     0:01:37   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1120   0         0.002     1023       11.51     0:01:37   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1119   0         0.002     1023       11.50     0:01:37   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1124   0         0.002     1023       11.52     0:01:37   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1115   0         0.002     1023       11.43     0:01:37   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1121   0         0.002     1023       11.50     0:01:37   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1120   0         0.002     1023       11.49     0:01:37   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1125   0         0.002     1023       11.52     0:01:37   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1116   0         0.002     1023       11.43     0:01:37   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1122   0         0.002     1023       11.50     0:01:37   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1121   0         0.002     1023       11.48     0:01:37   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1126   0         0.002     1023       11.52     0:01:37   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1117   0         0.002     1023       11.43     0:01:37   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1123   0         0.002     1023       11.50     0:01:37   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1122   0         0.002     1023       11.48     0:01:37   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1127   0         0.002     1023       11.51     0:01:37   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1117   0         0.002     1023       11.43     0:01:37   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1124   0         0.002     1023       11.49     0:01:37   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1123   0         0.002     1023       11.48     0:01:37   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1127   0         0.002     1023       11.51     0:01:38   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1118   0         0.002     1023       11.42     0:01:38   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1125   0         0.002     1023       11.49     0:01:38   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1123   0         0.002     1023       11.48     0:01:38   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1128   0         0.002     1023       11.51     0:01:38   0:01:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1119   0         0.002     1023       11.41     0:01:38   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1126   0         0.002     1023       11.48     0:01:38   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1124   0         0.002     1023       11.47     0:01:38   0:01:53   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1130   0         0.002     1023       11.50     0:01:38   0:01:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1121   0         0.002     1023       11.41     0:01:38   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1127   0         0.002     1023       11.48     0:01:38   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1125   0         0.002     1023       11.46     0:01:38   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1131   0         0.002     1023       11.50     0:01:38   0:01:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1122   0         0.002     1023       11.41     0:01:38   0:01:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1128   0         0.002     1023       11.48     0:01:38   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1127   0         0.002     1023       11.46     0:01:38   0:01:53   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1132   0         0.002     1023       11.50     0:01:38   0:01:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1122   0         0.002     1023       11.41     0:01:38   0:01:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1129   0         0.002     1023       11.48     0:01:38   0:01:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1127   0         0.002     1023       11.46     0:01:38   0:01:53   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1133   0         0.002     1023       11.48     0:01:38   0:01:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1124   0         0.002     1023       11.39     0:01:38   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1130   0         0.002     1023       11.46     0:01:38   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1128   0         0.002     1023       11.44     0:01:38   0:01:53   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1134   0         0.002     1023       11.48     0:01:38   0:01:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1125   0         0.002     1023       11.39     0:01:38   0:01:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1131   0         0.002     1023       11.46     0:01:38   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1129   0         0.002     1023       11.44     0:01:38   0:01:53   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1135   0         0.002     1023       11.48     0:01:38   0:01:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1126   0         0.002     1023       11.39     0:01:38   0:01:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1133   0         0.002     1023       11.46     0:01:38   0:01:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1131   0         0.002     1023       11.44     0:01:38   0:01:53   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1136   0         0.002     1023       11.48     0:01:39   0:01:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1127   0         0.002     1023       11.39     0:01:39   0:01:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1134   0         0.002     1023       11.45     0:01:39   0:01:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1132   0         0.002     1023       11.43     0:01:39   0:01:53   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1137   0         0.002     1023       11.47     0:01:39   0:01:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1128   0         0.002     1023       11.38     0:01:39   0:01:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1135   0         0.002     1023       11.45     0:01:39   0:01:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1132   0         0.002     1023       11.43     0:01:39   0:01:53   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1138   0         0.002     1023       11.47     0:01:39   0:01:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1129   0         0.002     1023       11.38     0:01:39   0:01:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1136   0         0.002     1023       11.45     0:01:39   0:01:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1134   0         0.002     1023       11.43     0:01:39   0:01:52   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1139   0         0.002     1023       11.47     0:01:39   0:01:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1130   0         0.002     1023       11.38     0:01:39   0:01:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1137   0         0.002     1023       11.45     0:01:39   0:01:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1135   0         0.002     1023       11.43     0:01:39   0:01:52   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1140   0         0.002     1023       11.47     0:01:39   0:01:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1131   0         0.002     1023       11.38     0:01:39   0:01:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1138   0         0.002     1023       11.44     0:01:39   0:01:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1136   0         0.002     1023       11.42     0:01:39   0:01:52   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1141   0         0.002     1023       11.46     0:01:39   0:01:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1132   0         0.002     1023       11.37     0:01:39   0:01:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1139   0         0.002     1023       11.44     0:01:39   0:01:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1137   0         0.002     1023       11.42     0:01:39   0:01:52   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1141   0         0.002     1023       11.46     0:01:39   0:01:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1132   0         0.002     1023       11.37     0:01:39   0:01:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1139   0         0.002     1023       11.44     0:01:39   0:01:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1137   0         0.002     1023       11.42     0:01:39   0:01:52   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1142   0         0.002     1023       11.45     0:01:39   0:01:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1134   0         0.002     1023       11.36     0:01:39   0:01:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1141   0         0.002     1023       11.43     0:01:39   0:01:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1138   0         0.002     1023       11.41     0:01:39   0:01:52   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1144   0         0.002     1023       11.45     0:01:39   0:01:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1135   0         0.002     1023       11.36     0:01:39   0:01:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1142   0         0.002     1023       11.43     0:01:39   0:01:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1139   0         0.002     1023       11.41     0:01:39   0:01:51   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1145   0         0.002     1023       11.45     0:01:40   0:01:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1136   0         0.002     1023       11.36     0:01:40   0:01:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1143   0         0.002     1023       11.43     0:01:40   0:01:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1140   0         0.002     1023       11.41     0:01:40   0:01:51   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1146   0         0.002     1023       11.45     0:01:40   0:01:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1137   0         0.002     1023       11.36     0:01:40   0:01:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1144   0         0.002     1023       11.43     0:01:40   0:01:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1142   0         0.002     1023       11.41     0:01:40   0:01:51   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1147   0         0.002     1023       11.44     0:01:40   0:01:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1138   0         0.002     1023       11.36     0:01:40   0:01:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1145   0         0.002     1023       11.43     0:01:40   0:01:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1143   0         0.002     1023       11.41     0:01:40   0:01:50   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1148   0         0.002     1023       11.44     0:01:40   0:01:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1139   0         0.002     1023       11.36     0:01:40   0:01:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1146   0         0.002     1023       11.43     0:01:40   0:01:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1144   0         0.002     1023       11.40     0:01:40   0:01:50   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1149   0         0.002     1023       11.44     0:01:40   0:01:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1140   0         0.002     1023       11.35     0:01:40   0:01:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1147   0         0.002     1023       11.42     0:01:40   0:01:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1145   0         0.002     1023       11.40     0:01:40   0:01:50   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1150   0         0.002     1023       11.43     0:01:40   0:01:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1141   0         0.002     1023       11.35     0:01:40   0:01:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1148   0         0.002     1023       11.42     0:01:40   0:01:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1146   0         0.002     1023       11.40     0:01:40   0:01:50   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1151   0         0.002     1023       11.43     0:01:40   0:01:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1142   0         0.002     1023       11.35     0:01:40   0:01:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1149   0         0.002     1023       11.42     0:01:40   0:01:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1147   0         0.002     1023       11.40     0:01:40   0:01:50   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1151   0         0.002     1023       11.43     0:01:40   0:01:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1143   0         0.002     1023       11.35     0:01:40   0:01:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1150   0         0.002     1023       11.42     0:01:40   0:01:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1148   0         0.002     1023       11.39     0:01:40   0:01:49   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1152   0         0.002     1023       11.42     0:01:40   0:01:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1144   0         0.002     1023       11.33     0:01:40   0:01:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1151   0         0.002     1023       11.40     0:01:40   0:01:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1148   0         0.002     1023       11.39     0:01:40   0:01:49   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1153   0         0.002     1023       11.42     0:01:41   0:01:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1145   0         0.002     1023       11.33     0:01:41   0:01:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1152   0         0.002     1023       11.40     0:01:41   0:01:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1150   0         0.002     1023       11.38     0:01:41   0:01:49   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1154   0         0.002     1023       11.41     0:01:41   0:01:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1146   0         0.002     1023       11.33     0:01:41   0:01:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1153   0         0.002     1023       11.40     0:01:41   0:01:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1151   0         0.002     1023       11.38     0:01:41   0:01:49   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1155   0         0.002     1023       11.41     0:01:41   0:01:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1147   0         0.002     1023       11.33     0:01:41   0:01:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1154   0         0.002     1023       11.40     0:01:41   0:01:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1152   0         0.002     1023       11.38     0:01:41   0:01:49   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1156   0         0.002     1023       11.41     0:01:41   0:01:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1148   0         0.002     1023       11.32     0:01:41   0:01:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1155   0         0.002     1023       11.40     0:01:41   0:01:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1153   0         0.002     1023       11.37     0:01:41   0:01:48   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1157   0         0.002     1023       11.39     0:01:41   0:01:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1148   0         0.002     1023       11.32     0:01:41   0:01:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1155   0         0.002     1023       11.40     0:01:41   0:01:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1153   0         0.002     1023       11.37     0:01:41   0:01:48   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1158   0         0.002     1023       11.39     0:01:41   0:01:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1149   0         0.002     1023       11.31     0:01:41   0:01:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1156   0         0.002     1023       11.38     0:01:41   0:01:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1154   0         0.002     1023       11.36     0:01:41   0:01:48   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1159   0         0.002     1023       11.39     0:01:41   0:01:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1150   0         0.002     1023       11.30     0:01:41   0:01:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1157   0         0.002     1023       11.38     0:01:41   0:01:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1155   0         0.002     1023       11.36     0:01:41   0:01:47   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1160   0         0.002     1023       11.39     0:01:41   0:01:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1151   0         0.002     1023       11.30     0:01:41   0:01:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1158   0         0.002     1023       11.37     0:01:41   0:01:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1156   0         0.002     1023       11.35     0:01:41   0:01:47   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1161   0         0.002     1023       11.38     0:01:42   0:01:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1152   0         0.002     1023       11.30     0:01:42   0:01:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1159   0         0.002     1023       11.37     0:01:42   0:01:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1157   0         0.002     1023       11.35     0:01:42   0:01:47   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1161   0         0.002     1023       11.38     0:01:42   0:01:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1153   0         0.002     1023       11.29     0:01:42   0:01:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1160   0         0.002     1023       11.37     0:01:42   0:01:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1158   0         0.002     1023       11.35     0:01:42   0:01:47   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1162   0         0.002     1023       11.37     0:01:42   0:01:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1155   0         0.002     1023       11.29     0:01:42   0:01:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1161   0         0.002     1023       11.36     0:01:42   0:01:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1159   0         0.002     1023       11.34     0:01:42   0:01:46   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1163   0         0.002     1023       11.36     0:01:42   0:01:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1156   0         0.002     1023       11.29     0:01:42   0:01:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1162   0         0.002     1023       11.36     0:01:42   0:01:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1161   0         0.002     1023       11.34     0:01:42   0:01:46   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1164   0         0.002     1023       11.36     0:01:42   0:01:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1157   0         0.002     1023       11.29     0:01:42   0:01:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1163   0         0.002     1023       11.36     0:01:42   0:01:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1162   0         0.002     1023       11.34     0:01:42   0:01:46   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1165   0         0.002     1023       11.36     0:01:42   0:01:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1158   0         0.002     1023       11.28     0:01:42   0:01:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1164   0         0.002     1023       11.35     0:01:42   0:01:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1163   0         0.002     1023       11.33     0:01:42   0:01:45   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1166   0         0.002     1023       11.35     0:01:42   0:01:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1158   0         0.002     1023       11.28     0:01:42   0:01:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1165   0         0.002     1023       11.35     0:01:42   0:01:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1163   0         0.002     1023       11.33     0:01:42   0:01:45   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1167   0         0.002     1023       11.35     0:01:42   0:01:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1159   0         0.002     1023       11.27     0:01:42   0:01:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1166   0         0.002     1023       11.34     0:01:42   0:01:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1164   0         0.002     1023       11.32     0:01:42   0:01:45   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1168   0         0.002     1023       11.34     0:01:42   0:01:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1160   0         0.002     1023       11.27     0:01:42   0:01:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1167   0         0.002     1023       11.33     0:01:42   0:01:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1165   0         0.002     1023       11.32     0:01:42   0:01:45   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1169   0         0.002     1023       11.34     0:01:43   0:01:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1161   0         0.002     1023       11.27     0:01:43   0:01:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1168   0         0.002     1023       11.33     0:01:43   0:01:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1166   0         0.002     1023       11.32     0:01:43   0:01:45   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1170   0         0.002     1023       11.34     0:01:43   0:01:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1162   0         0.002     1023       11.27     0:01:43   0:01:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1169   0         0.002     1023       11.33     0:01:43   0:01:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1167   0         0.002     1023       11.31     0:01:43   0:01:45   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1171   0         0.002     1023       11.34     0:01:43   0:01:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1163   0         0.002     1023       11.26     0:01:43   0:01:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1170   0         0.002     1023       11.33     0:01:43   0:01:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1168   0         0.002     1023       11.31     0:01:43   0:01:45   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1172   0         0.002     1023       11.33     0:01:43   0:01:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1164   0         0.002     1023       11.26     0:01:43   0:01:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1171   0         0.002     1023       11.32     0:01:43   0:01:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1169   0         0.002     1023       11.31     0:01:43   0:01:45   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1173   0         0.002     1023       11.33     0:01:43   0:01:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1165   0         0.002     1023       11.26     0:01:43   0:01:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1172   0         0.002     1023       11.32     0:01:43   0:01:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1170   0         0.002     1023       11.31     0:01:43   0:01:45   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1174   0         0.002     1023       11.33     0:01:43   0:01:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1166   0         0.002     1023       11.26     0:01:43   0:01:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1173   0         0.002     1023       11.32     0:01:43   0:01:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1171   0         0.002     1023       11.31     0:01:43   0:01:44   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1175   0         0.002     1023       11.33     0:01:43   0:01:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1168   0         0.002     1023       11.26     0:01:43   0:01:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1174   0         0.002     1023       11.32     0:01:43   0:01:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1173   0         0.002     1023       11.30     0:01:43   0:01:44   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1176   0         0.002     1023       11.33     0:01:43   0:01:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1169   0         0.002     1023       11.25     0:01:43   0:01:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1175   0         0.002     1023       11.32     0:01:43   0:01:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1174   0         0.002     1023       11.30     0:01:43   0:01:44   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1177   0         0.002     1023       11.31     0:01:44   0:01:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1170   0         0.002     1023       11.24     0:01:44   0:01:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1176   0         0.002     1023       11.30     0:01:44   0:01:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1174   0         0.002     1023       11.30     0:01:44   0:01:44   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1178   0         0.002     1023       11.31     0:01:44   0:01:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1171   0         0.002     1023       11.24     0:01:44   0:01:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1177   0         0.002     1023       11.30     0:01:44   0:01:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1175   0         0.002     1023       11.29     0:01:44   0:01:44   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1179   0         0.002     1023       11.31     0:01:44   0:01:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1171   0         0.002     1023       11.24     0:01:44   0:01:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1178   0         0.002     1023       11.30     0:01:44   0:01:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1176   0         0.002     1023       11.28     0:01:44   0:01:43   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1180   0         0.002     1023       11.30     0:01:44   0:01:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1172   0         0.002     1023       11.23     0:01:44   0:01:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1179   0         0.002     1023       11.30     0:01:44   0:01:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1177   0         0.002     1023       11.28     0:01:44   0:01:43   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1181   0         0.002     1023       11.30     0:01:44   0:01:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1173   0         0.002     1023       11.23     0:01:44   0:01:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1180   0         0.002     1023       11.29     0:01:44   0:01:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1178   0         0.002     1023       11.28     0:01:44   0:01:43   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1182   0         0.002     1023       11.29     0:01:44   0:01:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1174   0         0.002     1023       11.22     0:01:44   0:01:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1181   0         0.002     1023       11.28     0:01:44   0:01:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1179   0         0.002     1023       11.27     0:01:44   0:01:43   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1182   0         0.002     1023       11.29     0:01:44   0:01:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1175   0         0.002     1023       11.22     0:01:44   0:01:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1182   0         0.002     1023       11.28     0:01:44   0:01:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1180   0         0.002     1023       11.26     0:01:44   0:01:43   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1183   0         0.002     1023       11.28     0:01:44   0:01:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1176   0         0.002     1023       11.21     0:01:44   0:01:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1182   0         0.002     1023       11.28     0:01:44   0:01:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1180   0         0.002     1023       11.26     0:01:44   0:01:43   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1184   0         0.002     1023       11.28     0:01:45   0:01:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1177   0         0.002     1023       11.21     0:01:45   0:01:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1183   0         0.002     1023       11.27     0:01:45   0:01:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1181   0         0.002     1023       11.25     0:01:45   0:01:43   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1185   0         0.002     1023       11.27     0:01:45   0:01:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1177   0         0.002     1023       11.21     0:01:45   0:01:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1184   0         0.002     1023       11.26     0:01:45   0:01:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1182   0         0.002     1023       11.25     0:01:45   0:01:43   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1185   0         0.002     1023       11.27     0:01:45   0:01:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1178   0         0.002     1023       11.19     0:01:45   0:01:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1184   0         0.002     1023       11.26     0:01:45   0:01:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1182   0         0.002     1023       11.25     0:01:45   0:01:43   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1186   0         0.002     1023       11.26     0:01:45   0:01:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1179   0         0.002     1023       11.19     0:01:45   0:01:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1185   0         0.002     1023       11.25     0:01:45   0:01:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1183   0         0.002     1023       11.23     0:01:45   0:01:43   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1187   0         0.002     1023       11.26     0:01:45   0:01:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1180   0         0.002     1023       11.19     0:01:45   0:01:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1186   0         0.002     1023       11.25     0:01:45   0:01:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1184   0         0.002     1023       11.23     0:01:45   0:01:43   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1188   0         0.002     1023       11.25     0:01:45   0:01:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1181   0         0.002     1023       11.18     0:01:45   0:01:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1187   0         0.002     1023       11.25     0:01:45   0:01:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1185   0         0.002     1023       11.23     0:01:45   0:01:43   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1189   0         0.002     1023       11.25     0:01:45   0:01:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1182   0         0.002     1023       11.18     0:01:45   0:01:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1188   0         0.002     1023       11.24     0:01:45   0:01:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1186   0         0.002     1023       11.22     0:01:45   0:01:42   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1190   0         0.002     1023       11.25     0:01:45   0:01:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1183   0         0.002     1023       11.18     0:01:45   0:01:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1189   0         0.002     1023       11.24     0:01:45   0:01:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1187   0         0.002     1023       11.22     0:01:45   0:01:42   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1191   0         0.002     1023       11.25     0:01:45   0:01:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1184   0         0.002     1023       11.18     0:01:45   0:01:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1190   0         0.002     1023       11.24     0:01:45   0:01:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1188   0         0.002     1023       11.22     0:01:45   0:01:42   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1192   0         0.002     1023       11.24     0:01:46   0:01:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1185   0         0.002     1023       11.17     0:01:46   0:01:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1191   0         0.002     1023       11.24     0:01:46   0:01:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1189   0         0.002     1023       11.22     0:01:46   0:01:42   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1193   0         0.002     1023       11.23     0:01:46   0:01:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1186   0         0.002     1023       11.17     0:01:46   0:01:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1192   0         0.002     1023       11.23     0:01:46   0:01:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1190   0         0.002     1023       11.21     0:01:46   0:01:42   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1194   0         0.002     1023       11.23     0:01:46   0:01:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1187   0         0.002     1023       11.16     0:01:46   0:01:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1193   0         0.002     1023       11.22     0:01:46   0:01:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1191   0         0.002     1023       11.20     0:01:46   0:01:42   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1194   0         0.002     1023       11.23     0:01:46   0:01:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1187   0         0.002     1023       11.16     0:01:46   0:01:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1193   0         0.002     1023       11.22     0:01:46   0:01:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1191   0         0.002     1023       11.20     0:01:46   0:01:42   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1195   0         0.002     1023       11.22     0:01:46   0:01:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1188   0         0.002     1023       11.15     0:01:46   0:01:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1195   0         0.002     1023       11.21     0:01:46   0:01:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1193   0         0.002     1023       11.19     0:01:46   0:01:42   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1197   0         0.002     1023       11.22     0:01:46   0:01:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1189   0         0.002     1023       11.15     0:01:46   0:01:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1196   0         0.002     1023       11.21     0:01:46   0:01:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1194   0         0.002     1023       11.19     0:01:46   0:01:41   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1198   0         0.002     1023       11.22     0:01:46   0:01:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1191   0         0.002     1023       11.15     0:01:46   0:01:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1197   0         0.002     1023       11.21     0:01:46   0:01:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1195   0         0.002     1023       11.19     0:01:46   0:01:41   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1199   0         0.002     1023       11.22     0:01:46   0:01:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1192   0         0.002     1023       11.15     0:01:46   0:01:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1199   0         0.002     1023       11.21     0:01:46   0:01:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1197   0         0.002     1023       11.20     0:01:46   0:01:41   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1201   0         0.002     1023       11.22     0:01:47   0:01:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1193   0         0.002     1023       11.15     0:01:47   0:01:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1200   0         0.002     1023       11.21     0:01:47   0:01:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1198   0         0.002     1023       11.20     0:01:47   0:01:40   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1202   0         0.002     1023       11.22     0:01:47   0:01:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1194   0         0.002     1023       11.15     0:01:47   0:01:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1201   0         0.002     1023       11.21     0:01:47   0:01:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1199   0         0.002     1023       11.19     0:01:47   0:01:40   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1203   0         0.002     1023       11.21     0:01:47   0:01:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1195   0         0.002     1023       11.14     0:01:47   0:01:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1202   0         0.002     1023       11.21     0:01:47   0:01:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1200   0         0.002     1023       11.19     0:01:47   0:01:40   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1204   0         0.002     1023       11.21     0:01:47   0:01:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1197   0         0.002     1023       11.14     0:01:47   0:01:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1203   0         0.002     1023       11.20     0:01:47   0:01:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1201   0         0.002     1023       11.18     0:01:47   0:01:40   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1205   0         0.002     1023       11.21     0:01:47   0:01:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1198   0         0.002     1023       11.14     0:01:47   0:01:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1205   0         0.002     1023       11.21     0:01:47   0:01:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1203   0         0.002     1023       11.19     0:01:47   0:01:39   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1207   0         0.002     1023       11.21     0:01:47   0:01:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1199   0         0.002     1023       11.14     0:01:47   0:01:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1206   0         0.002     1023       11.21     0:01:47   0:01:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1204   0         0.002     1023       11.19     0:01:47   0:01:39   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1208   0         0.002     1023       11.21     0:01:47   0:01:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1200   0         0.002     1023       11.14     0:01:47   0:01:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1207   0         0.002     1023       11.21     0:01:47   0:01:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1205   0         0.002     1023       11.18     0:01:47   0:01:39   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1209   0         0.002     1023       11.21     0:01:47   0:01:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1202   0         0.002     1023       11.14     0:01:47   0:01:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1209   0         0.002     1023       11.21     0:01:47   0:01:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1206   0         0.002     1023       11.18     0:01:47   0:01:39   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1210   0         0.002     1023       11.21     0:01:48   0:01:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1203   0         0.002     1023       11.14     0:01:48   0:01:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1210   0         0.002     1023       11.21     0:01:48   0:01:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1208   0         0.002     1023       11.19     0:01:48   0:01:37   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1212   0         0.002     1023       11.21     0:01:48   0:01:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1204   0         0.002     1023       11.14     0:01:48   0:01:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1212   0         0.002     1023       11.21     0:01:48   0:01:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1209   0         0.002     1023       11.19     0:01:48   0:01:37   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1213   0         0.002     1023       11.21     0:01:48   0:01:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1206   0         0.002     1023       11.14     0:01:48   0:01:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1213   0         0.002     1023       11.21     0:01:48   0:01:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1210   0         0.002     1023       11.19     0:01:48   0:01:37   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1214   0         0.002     1023       11.21     0:01:48   0:01:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1206   0         0.002     1023       11.14     0:01:48   0:01:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1214   0         0.002     1023       11.21     0:01:48   0:01:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1211   0         0.002     1023       11.19     0:01:48   0:01:37   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1214   0         0.002     1023       11.21     0:01:48   0:01:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1207   0         0.002     1023       11.14     0:01:48   0:01:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1214   0         0.002     1023       11.21     0:01:48   0:01:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1211   0         0.002     1023       11.19     0:01:48   0:01:37   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1215   0         0.002     1023       11.19     0:01:48   0:01:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1207   0         0.002     1023       11.14     0:01:48   0:01:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1215   0         0.002     1023       11.19     0:01:48   0:01:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1212   0         0.002     1023       11.17     0:01:48   0:01:37   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1216   0         0.002     1023       11.19     0:01:48   0:01:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1209   0         0.002     1023       11.12     0:01:48   0:01:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1216   0         0.002     1023       11.19     0:01:48   0:01:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1213   0         0.002     1023       11.17     0:01:48   0:01:37   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1217   0         0.002     1023       11.19     0:01:48   0:01:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1210   0         0.002     1023       11.12     0:01:48   0:01:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1217   0         0.002     1023       11.19     0:01:48   0:01:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1214   0         0.002     1023       11.17     0:01:48   0:01:37   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1218   0         0.002     1023       11.19     0:01:48   0:01:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1211   0         0.002     1023       11.12     0:01:48   0:01:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1218   0         0.002     1023       11.19     0:01:48   0:01:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1215   0         0.002     1023       11.17     0:01:48   0:01:37   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1219   0         0.002     1023       11.19     0:01:49   0:01:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1212   0         0.002     1023       11.12     0:01:49   0:01:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1219   0         0.002     1023       11.19     0:01:49   0:01:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1216   0         0.002     1023       11.16     0:01:49   0:01:37   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1220   0         0.002     1023       11.18     0:01:49   0:01:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1212   0         0.002     1023       11.12     0:01:49   0:01:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1220   0         0.002     1023       11.18     0:01:49   0:01:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1217   0         0.002     1023       11.16     0:01:49   0:01:37   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1221   0         0.002     1023       11.17     0:01:49   0:01:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1213   0         0.002     1023       11.10     0:01:49   0:01:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1221   0         0.002     1023       11.17     0:01:49   0:01:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1218   0         0.002     1023       11.15     0:01:49   0:01:37   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1222   0         0.002     1023       11.17     0:01:49   0:01:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1214   0         0.002     1023       11.10     0:01:49   0:01:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1222   0         0.002     1023       11.17     0:01:49   0:01:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1219   0         0.002     1023       11.15     0:01:49   0:01:36   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1223   0         0.002     1023       11.17     0:01:49   0:01:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1215   0         0.002     1023       11.10     0:01:49   0:01:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1223   0         0.002     1023       11.17     0:01:49   0:01:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1220   0         0.002     1023       11.14     0:01:49   0:01:36   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1224   0         0.002     1023       11.17     0:01:49   0:01:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1217   0         0.002     1023       11.10     0:01:49   0:01:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1224   0         0.002     1023       11.16     0:01:49   0:01:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1222   0         0.002     1023       11.14     0:01:49   0:01:36   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1225   0         0.002     1023       11.16     0:01:49   0:01:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1218   0         0.002     1023       11.10     0:01:49   0:01:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1225   0         0.002     1023       11.16     0:01:49   0:01:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1222   0         0.002     1023       11.14     0:01:49   0:01:36   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1226   0         0.002     1023       11.16     0:01:49   0:01:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1219   0         0.002     1023       11.09     0:01:49   0:01:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1226   0         0.002     1023       11.16     0:01:49   0:01:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1224   0         0.002     1023       11.14     0:01:49   0:01:35   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1227   0         0.002     1023       11.16     0:01:50   0:01:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1220   0         0.002     1023       11.09     0:01:50   0:01:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1227   0         0.002     1023       11.16     0:01:50   0:01:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1225   0         0.002     1023       11.14     0:01:50   0:01:35   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1228   0         0.002     1023       11.16     0:01:50   0:01:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1221   0         0.002     1023       11.09     0:01:50   0:01:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1228   0         0.002     1023       11.16     0:01:50   0:01:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1226   0         0.002     1023       11.13     0:01:50   0:01:35   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1229   0         0.002     1023       11.16     0:01:50   0:01:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1222   0         0.002     1023       11.09     0:01:50   0:01:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1229   0         0.002     1023       11.15     0:01:50   0:01:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1227   0         0.002     1023       11.13     0:01:50   0:01:35   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1230   0         0.002     1023       11.16     0:01:50   0:01:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1223   0         0.002     1023       11.08     0:01:50   0:01:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1230   0         0.002     1023       11.15     0:01:50   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1228   0         0.002     1023       11.13     0:01:50   0:01:35   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1230   0         0.002     1023       11.16     0:01:50   0:01:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1223   0         0.002     1023       11.08     0:01:50   0:01:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1230   0         0.002     1023       11.15     0:01:50   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1228   0         0.002     1023       11.13     0:01:50   0:01:35   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1231   0         0.002     1023       11.14     0:01:50   0:01:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1224   0         0.002     1023       11.07     0:01:50   0:01:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1231   0         0.002     1023       11.14     0:01:50   0:01:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1229   0         0.002     1023       11.11     0:01:50   0:01:35   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1232   0         0.002     1023       11.14     0:01:50   0:01:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1225   0         0.002     1023       11.07     0:01:50   0:01:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1232   0         0.002     1023       11.13     0:01:50   0:01:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1230   0         0.002     1023       11.11     0:01:50   0:01:35   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1233   0         0.002     1023       11.13     0:01:50   0:01:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1226   0         0.002     1023       11.06     0:01:50   0:01:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1233   0         0.002     1023       11.13     0:01:50   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1231   0         0.002     1023       11.11     0:01:50   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1234   0         0.002     1023       11.13     0:01:50   0:01:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1227   0         0.002     1023       11.06     0:01:50   0:01:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1234   0         0.002     1023       11.13     0:01:50   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1232   0         0.002     1023       11.11     0:01:50   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1235   0         0.002     1023       11.13     0:01:51   0:01:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1228   0         0.002     1023       11.06     0:01:51   0:01:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1235   0         0.002     1023       11.12     0:01:51   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1232   0         0.002     1023       11.11     0:01:51   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1236   0         0.002     1023       11.12     0:01:51   0:01:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1228   0         0.002     1023       11.06     0:01:51   0:01:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1235   0         0.002     1023       11.12     0:01:51   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1233   0         0.002     1023       11.10     0:01:51   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1237   0         0.002     1023       11.12     0:01:51   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1229   0         0.002     1023       11.05     0:01:51   0:01:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1236   0         0.002     1023       11.11     0:01:51   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1234   0         0.002     1023       11.09     0:01:51   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1238   0         0.002     1023       11.12     0:01:51   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1231   0         0.002     1023       11.05     0:01:51   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1237   0         0.002     1023       11.11     0:01:51   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1235   0         0.002     1023       11.09     0:01:51   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1239   0         0.002     1023       11.11     0:01:51   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1232   0         0.002     1023       11.05     0:01:51   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1238   0         0.002     1023       11.11     0:01:51   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1236   0         0.002     1023       11.09     0:01:51   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1240   0         0.002     1023       11.11     0:01:51   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1233   0         0.002     1023       11.05     0:01:51   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1239   0         0.002     1023       11.11     0:01:51   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1237   0         0.002     1023       11.09     0:01:51   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1241   0         0.002     1023       11.11     0:01:51   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1233   0         0.002     1023       11.05     0:01:51   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1240   0         0.002     1023       11.11     0:01:51   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1238   0         0.002     1023       11.09     0:01:51   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1241   0         0.002     1023       11.11     0:01:51   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1234   0         0.002     1023       11.04     0:01:51   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1241   0         0.002     1023       11.10     0:01:51   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1238   0         0.002     1023       11.09     0:01:51   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1242   0         0.002     1023       11.09     0:01:52   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1235   0         0.002     1023       11.02     0:01:52   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1241   0         0.002     1023       11.10     0:01:52   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1239   0         0.002     1023       11.07     0:01:52   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1243   0         0.002     1023       11.09     0:01:52   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1236   0         0.002     1023       11.02     0:01:52   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1242   0         0.002     1023       11.08     0:01:52   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1240   0         0.002     1023       11.06     0:01:52   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1244   0         0.002     1023       11.08     0:01:52   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1237   0         0.002     1023       11.02     0:01:52   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1243   0         0.002     1023       11.08     0:01:52   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1241   0         0.002     1023       11.06     0:01:52   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1245   0         0.002     1023       11.08     0:01:52   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1238   0         0.002     1023       11.02     0:01:52   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1244   0         0.002     1023       11.08     0:01:52   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1242   0         0.002     1023       11.05     0:01:52   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1246   0         0.002     1023       11.08     0:01:52   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1238   0         0.002     1023       11.02     0:01:52   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1245   0         0.002     1023       11.08     0:01:52   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1243   0         0.002     1023       11.05     0:01:52   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1246   0         0.002     1023       11.08     0:01:52   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1239   0         0.002     1023       11.01     0:01:52   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1245   0         0.002     1023       11.08     0:01:52   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1243   0         0.002     1023       11.05     0:01:52   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1247   0         0.002     1023       11.06     0:01:52   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1240   0         0.002     1023       11.00     0:01:52   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1247   0         0.002     1023       11.06     0:01:52   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1244   0         0.002     1023       11.04     0:01:52   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1248   0         0.002     1023       11.06     0:01:52   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1241   0         0.002     1023       11.00     0:01:52   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1248   0         0.002     1023       11.06     0:01:52   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1245   0         0.002     1023       11.04     0:01:52   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1249   0         0.002     1023       11.06     0:01:52   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1242   0         0.002     1023       11.00     0:01:52   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1249   0         0.002     1023       11.06     0:01:52   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1246   0         0.002     1023       11.04     0:01:52   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1250   0         0.002     1023       11.06     0:01:53   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1243   0         0.002     1023       11.00     0:01:53   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1250   0         0.002     1023       11.06     0:01:53   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1247   0         0.002     1023       11.03     0:01:53   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1251   0         0.002     1023       11.06     0:01:53   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1244   0         0.002     1023       10.99     0:01:53   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1251   0         0.002     1023       11.05     0:01:53   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1248   0         0.002     1023       11.03     0:01:53   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1251   0         0.002     1023       11.06     0:01:53   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1244   0         0.002     1023       10.99     0:01:53   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1251   0         0.002     1023       11.05     0:01:53   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1248   0         0.002     1023       11.03     0:01:53   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1252   0         0.002     1023       11.04     0:01:53   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1245   0         0.002     1023       10.98     0:01:53   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1252   0         0.002     1023       11.04     0:01:53   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1249   0         0.002     1023       11.01     0:01:53   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1253   0         0.002     1023       11.04     0:01:53   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1246   0         0.002     1023       10.97     0:01:53   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1253   0         0.002     1023       11.03     0:01:53   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1250   0         0.002     1023       11.01     0:01:53   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1254   0         0.002     1023       11.04     0:01:53   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1247   0         0.002     1023       10.97     0:01:53   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1253   0         0.002     1023       11.03     0:01:53   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1251   0         0.002     1023       11.01     0:01:53   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1255   0         0.002     1023       11.03     0:01:53   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1248   0         0.002     1023       10.96     0:01:53   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1254   0         0.002     1023       11.03     0:01:53   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1251   0         0.002     1023       11.01     0:01:53   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1255   0         0.002     1023       11.03     0:01:53   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1248   0         0.002     1023       10.96     0:01:53   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1255   0         0.002     1023       11.02     0:01:53   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1252   0         0.002     1023       11.00     0:01:53   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1256   0         0.002     1023       11.02     0:01:54   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1249   0         0.002     1023       10.96     0:01:54   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1256   0         0.002     1023       11.02     0:01:54   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1253   0         0.002     1023       10.99     0:01:54   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1257   0         0.002     1023       11.01     0:01:54   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1250   0         0.002     1023       10.95     0:01:54   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1257   0         0.002     1023       11.00     0:01:54   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1254   0         0.002     1023       10.98     0:01:54   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1258   0         0.002     1023       11.00     0:01:54   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1251   0         0.002     1023       10.94     0:01:54   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1258   0         0.002     1023       11.00     0:01:54   0:01:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1255   0         0.002     1023       10.98     0:01:54   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1259   0         0.002     1023       11.00     0:01:54   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1252   0         0.002     1023       10.94     0:01:54   0:01:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1259   0         0.002     1023       11.00     0:01:54   0:01:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1256   0         0.002     1023       10.98     0:01:54   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1260   0         0.002     1023       11.00     0:01:54   0:01:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1253   0         0.002     1023       10.94     0:01:54   0:01:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1260   0         0.002     1023       11.00     0:01:54   0:01:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1257   0         0.002     1023       10.98     0:01:54   0:01:32   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1261   0         0.002     1023       11.00     0:01:54   0:01:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1254   0         0.002     1023       10.94     0:01:54   0:01:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1261   0         0.002     1023       11.00     0:01:54   0:01:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1258   0         0.002     1023       10.97     0:01:54   0:01:32   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1262   0         0.002     1023       10.99     0:01:54   0:01:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1255   0         0.002     1023       10.94     0:01:54   0:01:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1262   0         0.002     1023       10.99     0:01:54   0:01:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1259   0         0.002     1023       10.97     0:01:54   0:01:32   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1263   0         0.002     1023       10.98     0:01:54   0:01:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1256   0         0.002     1023       10.93     0:01:54   0:01:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1263   0         0.002     1023       10.99     0:01:54   0:01:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1260   0         0.002     1023       10.96     0:01:54   0:01:32   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1264   0         0.002     1023       10.98     0:01:55   0:01:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1257   0         0.002     1023       10.93     0:01:55   0:01:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1264   0         0.002     1023       10.99     0:01:55   0:01:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1261   0         0.002     1023       10.96     0:01:55   0:01:32   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1265   0         0.002     1023       10.98     0:01:55   0:01:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1258   0         0.002     1023       10.93     0:01:55   0:01:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1265   0         0.002     1023       10.98     0:01:55   0:01:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1262   0         0.002     1023       10.96     0:01:55   0:01:32   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1266   0         0.002     1023       10.98     0:01:55   0:01:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1259   0         0.002     1023       10.92     0:01:55   0:01:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1266   0         0.002     1023       10.98     0:01:55   0:01:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1263   0         0.002     1023       10.96     0:01:55   0:01:31   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1267   0         0.002     1023       10.98     0:01:55   0:01:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1261   0         0.002     1023       10.92     0:01:55   0:01:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1267   0         0.002     1023       10.98     0:01:55   0:01:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1264   0         0.002     1023       10.96     0:01:55   0:01:31   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1268   0         0.002     1023       10.98     0:01:55   0:01:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1261   0         0.002     1023       10.92     0:01:55   0:01:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1268   0         0.002     1023       10.98     0:01:55   0:01:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1265   0         0.002     1023       10.96     0:01:55   0:01:31   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1269   0         0.002     1023       10.96     0:01:55   0:01:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1262   0         0.002     1023       10.91     0:01:55   0:01:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1269   0         0.002     1023       10.97     0:01:55   0:01:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1265   0         0.002     1023       10.96     0:01:55   0:01:31   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1270   0         0.002     1023       10.96     0:01:55   0:01:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1263   0         0.002     1023       10.91     0:01:55   0:01:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1270   0         0.002     1023       10.97     0:01:55   0:01:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1267   0         0.002     1023       10.94     0:01:55   0:01:31   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1271   0         0.002     1023       10.96     0:01:55   0:01:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1264   0         0.002     1023       10.90     0:01:55   0:01:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1271   0         0.002     1023       10.96     0:01:55   0:01:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1268   0         0.002     1023       10.93     0:01:55   0:01:31   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1272   0         0.002     1023       10.96     0:01:56   0:01:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1265   0         0.002     1023       10.90     0:01:56   0:01:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1272   0         0.002     1023       10.96     0:01:56   0:01:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1269   0         0.002     1023       10.93     0:01:56   0:01:31   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1273   0         0.002     1023       10.96     0:01:56   0:01:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1266   0         0.002     1023       10.90     0:01:56   0:01:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1273   0         0.002     1023       10.96     0:01:56   0:01:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1270   0         0.002     1023       10.93     0:01:56   0:01:31   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1274   0         0.002     1023       10.96     0:01:56   0:01:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1268   0         0.002     1023       10.90     0:01:56   0:01:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1274   0         0.002     1023       10.96     0:01:56   0:01:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1271   0         0.002     1023       10.93     0:01:56   0:01:31   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1274   0         0.002     1023       10.96     0:01:56   0:01:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1268   0         0.002     1023       10.90     0:01:56   0:01:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1275   0         0.002     1023       10.96     0:01:56   0:01:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1271   0         0.002     1023       10.93     0:01:56   0:01:31   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1276   0         0.002     1023       10.95     0:01:56   0:01:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1269   0         0.002     1023       10.89     0:01:56   0:01:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1276   0         0.002     1023       10.95     0:01:56   0:01:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1273   0         0.002     1023       10.92     0:01:56   0:01:31   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1277   0         0.002     1023       10.95     0:01:56   0:01:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1270   0         0.002     1023       10.89     0:01:56   0:01:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1277   0         0.002     1023       10.95     0:01:56   0:01:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1273   0         0.002     1023       10.92     0:01:56   0:01:31   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1278   0         0.002     511        10.95     0:01:56   0:01:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1271   0         0.002     1023       10.89     0:01:56   0:01:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1278   0         0.002     1023       10.95     0:01:56   0:01:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1274   0         0.002     1023       10.92     0:01:56   0:01:31   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1279   0         0.002     1023       10.95     0:01:56   0:01:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1272   0         0.002     1023       10.89     0:01:56   0:01:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1279   0         0.002     1023       10.95     0:01:56   0:01:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1276   0         0.002     1023       10.92     0:01:56   0:01:30   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1280   0         0.002     1023       10.95     0:01:57   0:01:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1274   0         0.002     1023       10.89     0:01:57   0:01:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1280   0         0.002     1023       10.95     0:01:57   0:01:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1277   0         0.002     1023       10.92     0:01:57   0:01:30   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1282   0         0.002     1023       10.94     0:01:57   0:01:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1275   0         0.002     1023       10.89     0:01:57   0:01:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1282   0         0.002     1023       10.95     0:01:57   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1278   0         0.002     1023       10.92     0:01:57   0:01:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1283   0         0.002     1023       10.94     0:01:57   0:01:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1276   0         0.002     1023       10.88     0:01:57   0:01:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1283   0         0.002     1023       10.94     0:01:57   0:01:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1279   0         0.002     1023       10.91     0:01:57   0:01:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1284   0         0.002     1023       10.93     0:01:57   0:01:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1277   0         0.002     1023       10.88     0:01:57   0:01:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1284   0         0.002     1023       10.93     0:01:57   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1280   0         0.002     1023       10.91     0:01:57   0:01:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1285   0         0.002     1023       10.93     0:01:57   0:01:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1278   0         0.002     1023       10.88     0:01:57   0:01:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1285   0         0.002     1023       10.93     0:01:57   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1281   0         0.002     1023       10.90     0:01:57   0:01:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1286   0         0.002     1023       10.93     0:01:57   0:01:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1279   0         0.002     1023       10.87     0:01:57   0:01:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1286   0         0.002     1023       10.93     0:01:57   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1282   0         0.002     1023       10.90     0:01:57   0:01:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1287   0         0.002     1023       10.93     0:01:57   0:01:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1280   0         0.002     1023       10.87     0:01:57   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1287   0         0.002     1023       10.93     0:01:57   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1283   0         0.002     1023       10.90     0:01:57   0:01:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1288   0         0.002     1023       10.92     0:01:57   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1281   0         0.002     1023       10.87     0:01:57   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1288   0         0.002     1023       10.93     0:01:57   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1284   0         0.002     1023       10.89     0:01:57   0:01:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1289   0         0.002     1023       10.92     0:01:58   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1282   0         0.002     1023       10.86     0:01:58   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1289   0         0.002     1023       10.92     0:01:58   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1285   0         0.002     1023       10.89     0:01:58   0:01:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1290   0         0.002     1023       10.92     0:01:58   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1283   0         0.002     1023       10.86     0:01:58   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1290   0         0.002     1023       10.92     0:01:58   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1286   0         0.002     1023       10.89     0:01:58   0:01:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1291   0         0.002     1023       10.92     0:01:58   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1284   0         0.002     1023       10.86     0:01:58   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1291   0         0.002     1023       10.92     0:01:58   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1287   0         0.002     1023       10.89     0:01:58   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1292   0         0.002     1023       10.92     0:01:58   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1285   0         0.002     1023       10.86     0:01:58   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1292   0         0.002     1023       10.92     0:01:58   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1288   0         0.002     1023       10.88     0:01:58   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1293   0         0.002     1023       10.91     0:01:58   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1286   0         0.002     1023       10.85     0:01:58   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1293   0         0.002     1023       10.91     0:01:58   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1289   0         0.002     1023       10.88     0:01:58   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1293   0         0.002     1023       10.91     0:01:58   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1287   0         0.002     1023       10.85     0:01:58   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1294   0         0.002     1023       10.90     0:01:58   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1290   0         0.002     1023       10.87     0:01:58   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1295   0         0.002     1023       10.90     0:01:58   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1288   0         0.002     1023       10.85     0:01:58   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1295   0         0.002     1023       10.91     0:01:58   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1291   0         0.002     1023       10.87     0:01:58   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1296   0         0.002     1023       10.90     0:01:58   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1289   0         0.002     1023       10.85     0:01:58   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1296   0         0.002     1023       10.91     0:01:58   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1292   0         0.002     1023       10.87     0:01:58   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1296   0         0.002     1023       10.90     0:01:59   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1290   0         0.002     1023       10.85     0:01:59   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1297   0         0.002     1023       10.91     0:01:59   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1293   0         0.002     1023       10.87     0:01:59   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1297   0         0.002     1023       10.90     0:01:59   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1290   0         0.002     1023       10.85     0:01:59   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1297   0         0.002     1023       10.91     0:01:59   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1293   0         0.002     1023       10.87     0:01:59   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1298   0         0.002     1023       10.89     0:01:59   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1291   0         0.002     1023       10.83     0:01:59   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1298   0         0.002     1023       10.89     0:01:59   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1294   0         0.002     1023       10.86     0:01:59   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1298   0         0.002     1023       10.89     0:01:59   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1292   0         0.002     1023       10.82     0:01:59   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1299   0         0.002     1023       10.88     0:01:59   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1295   0         0.002     1023       10.85     0:01:59   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1299   0         0.002     1023       10.87     0:01:59   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1292   0         0.002     1023       10.82     0:01:59   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1300   0         0.002     1023       10.87     0:01:59   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1296   0         0.002     1023       10.84     0:01:59   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1300   0         0.002     1023       10.86     0:01:59   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1293   0         0.002     1023       10.81     0:01:59   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1300   0         0.002     1023       10.87     0:01:59   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1296   0         0.002     1023       10.84     0:01:59   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1301   0         0.002     1023       10.86     0:01:59   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1294   0         0.002     1023       10.81     0:01:59   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1302   0         0.002     1023       10.87     0:01:59   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1297   0         0.002     1023       10.83     0:01:59   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1302   0         0.002     1023       10.86     0:01:59   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1295   0         0.002     1023       10.80     0:01:59   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1303   0         0.002     1023       10.86     0:01:59   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1298   0         0.002     1023       10.83     0:01:59   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1303   0         0.002     1023       10.85     0:02:00   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1296   0         0.002     1023       10.80     0:02:00   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1303   0         0.002     1023       10.86     0:02:00   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1299   0         0.002     1023       10.82     0:02:00   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1303   0         0.002     1023       10.85     0:02:00   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1296   0         0.002     1023       10.80     0:02:00   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1304   0         0.002     1023       10.86     0:02:00   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1299   0         0.002     1023       10.82     0:02:00   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1304   0         0.002     1023       10.83     0:02:00   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1297   0         0.002     1023       10.77     0:02:00   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1304   0         0.002     1023       10.86     0:02:00   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1300   0         0.002     1023       10.80     0:02:00   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1305   0         0.002     1023       10.83     0:02:00   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1298   0         0.002     1023       10.77     0:02:00   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1305   0         0.002     1023       10.83     0:02:00   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1300   0         0.002     1023       10.80     0:02:00   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1306   0         0.002     1023       10.83     0:02:00   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1299   0         0.002     1023       10.77     0:02:00   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1306   0         0.002     1023       10.83     0:02:00   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1301   0         0.002     1023       10.79     0:02:00   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1307   0         0.002     1023       10.82     0:02:00   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1300   0         0.002     1023       10.77     0:02:00   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1307   0         0.002     1023       10.83     0:02:00   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1302   0         0.002     1023       10.79     0:02:00   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1308   0         0.002     1023       10.82     0:02:00   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1301   0         0.002     1023       10.76     0:02:00   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1308   0         0.002     1023       10.83     0:02:00   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1304   0         0.002     1023       10.79     0:02:00   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1308   0         0.002     1023       10.82     0:02:01   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1301   0         0.002     1023       10.76     0:02:01   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1309   0         0.002     1023       10.83     0:02:01   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1304   0         0.002     1023       10.79     0:02:01   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1309   0         0.002     1023       10.81     0:02:01   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1302   0         0.002     1023       10.75     0:02:01   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1310   0         0.002     1023       10.81     0:02:01   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1305   0         0.002     1023       10.77     0:02:01   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1310   0         0.002     1023       10.80     0:02:01   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1303   0         0.002     1023       10.74     0:02:01   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1310   0         0.002     1023       10.81     0:02:01   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1306   0         0.002     1023       10.77     0:02:01   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1311   0         0.002     1023       10.80     0:02:01   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1304   0         0.002     1023       10.74     0:02:01   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1311   0         0.002     1023       10.80     0:02:01   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1307   0         0.002     1023       10.76     0:02:01   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1311   0         0.002     1023       10.80     0:02:01   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1305   0         0.002     1023       10.73     0:02:01   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1312   0         0.002     1023       10.79     0:02:01   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1308   0         0.002     1023       10.76     0:02:01   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1312   0         0.002     1023       10.79     0:02:01   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1306   0         0.002     1023       10.73     0:02:01   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1313   0         0.002     1023       10.79     0:02:01   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1309   0         0.002     1023       10.76     0:02:01   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1313   0         0.002     1023       10.79     0:02:01   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1307   0         0.002     1023       10.73     0:02:01   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1314   0         0.002     1023       10.79     0:02:01   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1310   0         0.002     1023       10.76     0:02:01   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1314   0         0.002     1023       10.79     0:02:01   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1308   0         0.002     1023       10.73     0:02:01   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1315   0         0.002     1023       10.79     0:02:01   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1310   0         0.002     1023       10.76     0:02:01   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1315   0         0.002     1023       10.78     0:02:02   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1309   0         0.002     1023       10.72     0:02:02   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1316   0         0.002     1023       10.78     0:02:02   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1312   0         0.002     1023       10.75     0:02:02   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1316   0         0.002     1023       10.78     0:02:02   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1310   0         0.002     1023       10.72     0:02:02   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1317   0         0.002     1023       10.78     0:02:02   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1313   0         0.002     1023       10.75     0:02:02   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1318   0         0.002     1023       10.78     0:02:02   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1311   0         0.002     1023       10.72     0:02:02   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1318   0         0.002     1023       10.78     0:02:02   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1314   0         0.002     1023       10.74     0:02:02   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1319   0         0.002     1023       10.78     0:02:02   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1312   0         0.002     1023       10.72     0:02:02   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1319   0         0.002     1023       10.78     0:02:02   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1315   0         0.002     1023       10.74     0:02:02   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1320   0         0.002     1023       10.78     0:02:02   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1313   0         0.002     1023       10.72     0:02:02   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1320   0         0.002     1023       10.78     0:02:02   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1316   0         0.002     1023       10.75     0:02:02   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1321   0         0.002     1023       10.78     0:02:02   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1314   0         0.002     1023       10.72     0:02:02   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1321   0         0.002     1023       10.78     0:02:02   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1317   0         0.002     1023       10.74     0:02:02   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1322   0         0.002     1023       10.77     0:02:02   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1315   0         0.002     1023       10.72     0:02:02   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1322   0         0.002     1023       10.77     0:02:02   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1318   0         0.002     1023       10.74     0:02:02   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1323   0         0.002     1023       10.76     0:02:02   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1316   0         0.002     1023       10.71     0:02:02   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1323   0         0.002     1023       10.76     0:02:02   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1319   0         0.002     1023       10.73     0:02:02   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1324   0         0.002     1023       10.76     0:02:03   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1317   0         0.002     1023       10.71     0:02:03   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1324   0         0.002     1023       10.76     0:02:03   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1320   0         0.002     1023       10.73     0:02:03   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1325   0         0.002     1023       10.76     0:02:03   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1318   0         0.002     1023       10.70     0:02:03   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1325   0         0.002     1023       10.76     0:02:03   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1321   0         0.002     1023       10.73     0:02:03   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1326   0         0.002     1023       10.76     0:02:03   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1319   0         0.002     1023       10.70     0:02:03   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1326   0         0.002     1023       10.76     0:02:03   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1322   0         0.002     1023       10.73     0:02:03   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1327   0         0.002     1023       10.76     0:02:03   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1320   0         0.002     1023       10.70     0:02:03   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1327   0         0.002     1023       10.76     0:02:03   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1323   0         0.002     1023       10.73     0:02:03   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1327   0         0.002     1023       10.76     0:02:03   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1320   0         0.002     1023       10.70     0:02:03   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1328   0         0.002     1023       10.75     0:02:03   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1323   0         0.002     1023       10.73     0:02:03   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1328   0         0.002     1023       10.75     0:02:03   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1321   0         0.002     1023       10.69     0:02:03   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1328   0         0.002     1023       10.75     0:02:03   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1324   0         0.002     1023       10.72     0:02:03   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1329   0         0.002     1023       10.73     0:02:03   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1321   0         0.002     1023       10.69     0:02:03   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1329   0         0.002     1023       10.73     0:02:03   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1324   0         0.002     1023       10.72     0:02:03   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1329   0         0.002     1023       10.73     0:02:03   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1322   0         0.002     1023       10.67     0:02:03   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1330   0         0.002     1023       10.73     0:02:03   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1325   0         0.002     1023       10.70     0:02:03   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1330   0         0.002     1023       10.73     0:02:04   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1323   0         0.002     1023       10.67     0:02:04   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1330   0         0.002     1023       10.73     0:02:04   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1326   0         0.002     1023       10.70     0:02:04   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1331   0         0.002     1023       10.73     0:02:04   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1324   0         0.002     1023       10.67     0:02:04   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1331   0         0.002     1023       10.73     0:02:04   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1327   0         0.002     1023       10.69     0:02:04   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1332   0         0.002     1023       10.72     0:02:04   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1325   0         0.002     1023       10.67     0:02:04   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1332   0         0.002     1023       10.73     0:02:04   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1328   0         0.002     1023       10.69     0:02:04   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1333   0         0.002     1023       10.72     0:02:04   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1326   0         0.002     1023       10.67     0:02:04   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1333   0         0.002     1023       10.72     0:02:04   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1329   0         0.002     1023       10.69     0:02:04   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1334   0         0.002     1023       10.72     0:02:04   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1327   0         0.002     1023       10.66     0:02:04   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1334   0         0.002     1023       10.72     0:02:04   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1330   0         0.002     1023       10.69     0:02:04   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1335   0         0.002     1023       10.71     0:02:04   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1328   0         0.002     1023       10.65     0:02:04   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1335   0         0.002     1023       10.71     0:02:04   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1331   0         0.002     1023       10.68     0:02:04   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1336   0         0.002     1023       10.71     0:02:04   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1329   0         0.002     1023       10.65     0:02:04   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1336   0         0.002     1023       10.71     0:02:04   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1332   0         0.002     1023       10.67     0:02:04   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1337   0         0.002     1023       10.70     0:02:04   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1330   0         0.002     1023       10.65     0:02:04   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1337   0         0.002     1023       10.70     0:02:04   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1332   0         0.002     1023       10.67     0:02:04   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1338   0         0.002     1023       10.70     0:02:05   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1331   0         0.002     1023       10.65     0:02:05   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1338   0         0.002     1023       10.70     0:02:05   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1334   0         0.002     1023       10.67     0:02:05   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1339   0         0.002     1023       10.70     0:02:05   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1332   0         0.002     1023       10.65     0:02:05   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1339   0         0.002     1023       10.70     0:02:05   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1335   0         0.002     1023       10.67     0:02:05   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1340   0         0.002     1023       10.70     0:02:05   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1333   0         0.002     1023       10.64     0:02:05   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1340   0         0.002     1023       10.70     0:02:05   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1336   0         0.002     1023       10.67     0:02:05   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1340   0         0.002     1023       10.70     0:02:05   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1333   0         0.002     1023       10.64     0:02:05   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1340   0         0.002     1023       10.70     0:02:05   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1336   0         0.002     1023       10.67     0:02:05   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1340   0         0.002     1023       10.70     0:02:05   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1333   0         0.002     1023       10.64     0:02:05   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1341   0         0.002     1023       10.69     0:02:05   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1336   0         0.002     1023       10.67     0:02:05   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1341   0         0.002     1023       10.68     0:02:05   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1334   0         0.002     1023       10.62     0:02:05   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1341   0         0.002     1023       10.69     0:02:05   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1337   0         0.002     1023       10.65     0:02:05   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1342   0         0.002     1023       10.67     0:02:05   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1335   0         0.002     1023       10.62     0:02:05   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1342   0         0.002     1023       10.68     0:02:05   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1338   0         0.002     1023       10.64     0:02:05   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1343   0         0.002     1023       10.67     0:02:05   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1336   0         0.002     1023       10.62     0:02:05   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1343   0         0.002     1023       10.68     0:02:05   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1339   0         0.002     1023       10.64     0:02:05   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1343   0         0.002     1023       10.67     0:02:05   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1337   0         0.002     1023       10.62     0:02:05   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1344   0         0.002     1023       10.67     0:02:05   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1339   0         0.002     1023       10.64     0:02:05   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1344   0         0.002     1023       10.67     0:02:06   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1337   0         0.002     1023       10.62     0:02:06   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1344   0         0.002     1023       10.67     0:02:06   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1340   0         0.002     1023       10.63     0:02:06   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1345   0         0.002     1023       10.66     0:02:06   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1338   0         0.002     1023       10.61     0:02:06   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1345   0         0.002     1023       10.66     0:02:06   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1341   0         0.002     1023       10.63     0:02:06   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1346   0         0.002     1023       10.65     0:02:06   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1339   0         0.002     1023       10.59     0:02:06   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1346   0         0.002     1023       10.65     0:02:06   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1341   0         0.002     1023       10.63     0:02:06   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1347   0         0.002     1023       10.64     0:02:06   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1340   0         0.002     1023       10.59     0:02:06   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1347   0         0.002     1023       10.65     0:02:06   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1342   0         0.002     1023       10.61     0:02:06   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1348   0         0.002     511        10.64     0:02:06   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1341   0         0.002     1023       10.59     0:02:06   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1348   0         0.002     1023       10.64     0:02:06   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1343   0         0.002     1023       10.61     0:02:06   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1349   0         0.002     1023       10.64     0:02:06   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1342   0         0.002     1023       10.58     0:02:06   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1349   0         0.002     1023       10.64     0:02:06   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1344   0         0.002     1023       10.61     0:02:06   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1350   0         0.002     1023       10.64     0:02:06   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1343   0         0.002     1023       10.58     0:02:06   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1350   0         0.002     1023       10.64     0:02:06   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1345   0         0.002     1023       10.60     0:02:06   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1351   0         0.002     1023       10.64     0:02:07   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1344   0         0.002     1023       10.58     0:02:07   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1351   0         0.002     1023       10.64     0:02:07   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1346   0         0.002     1023       10.60     0:02:07   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1352   0         0.002     1023       10.64     0:02:07   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1345   0         0.002     1023       10.58     0:02:07   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1352   0         0.002     1023       10.64     0:02:07   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1347   0         0.002     1023       10.60     0:02:07   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1352   0         0.002     1023       10.64     0:02:07   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1345   0         0.002     1023       10.58     0:02:07   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1352   0         0.002     1023       10.64     0:02:07   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1348   0         0.002     1023       10.60     0:02:07   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1353   0         0.002     1023       10.63     0:02:07   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1346   0         0.002     1023       10.58     0:02:07   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1353   0         0.002     1023       10.63     0:02:07   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1349   0         0.002     1023       10.59     0:02:07   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1355   0         0.002     1023       10.63     0:02:07   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1348   0         0.002     1023       10.58     0:02:07   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1355   0         0.002     1023       10.63     0:02:07   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1350   0         0.002     1023       10.60     0:02:07   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1356   0         0.002     1023       10.63     0:02:07   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1349   0         0.002     1023       10.58     0:02:07   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1356   0         0.002     1023       10.63     0:02:07   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1351   0         0.002     1023       10.60     0:02:07   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1357   0         0.002     1023       10.63     0:02:07   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1350   0         0.002     1023       10.57     0:02:07   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1357   0         0.002     1023       10.63     0:02:07   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1352   0         0.002     1023       10.59     0:02:07   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1358   0         0.002     1023       10.63     0:02:07   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1351   0         0.002     1023       10.57     0:02:07   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1358   0         0.002     1023       10.63     0:02:07   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1353   0         0.002     1023       10.59     0:02:07   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1359   0         0.002     1023       10.63     0:02:07   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1352   0         0.002     1023       10.57     0:02:07   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1359   0         0.002     1023       10.62     0:02:07   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1354   0         0.002     1023       10.59     0:02:07   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1360   0         0.002     1023       10.62     0:02:08   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1353   0         0.002     1023       10.57     0:02:08   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1359   0         0.002     1023       10.62     0:02:08   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1355   0         0.002     1023       10.59     0:02:08   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1360   0         0.002     1023       10.62     0:02:08   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1353   0         0.002     1023       10.57     0:02:08   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1360   0         0.002     1023       10.62     0:02:08   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1356   0         0.002     1023       10.58     0:02:08   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1361   0         0.002     1023       10.61     0:02:08   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1354   0         0.002     1023       10.55     0:02:08   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1361   0         0.002     1023       10.61     0:02:08   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1356   0         0.002     1023       10.58     0:02:08   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1362   0         0.002     1023       10.60     0:02:08   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1355   0         0.002     1023       10.55     0:02:08   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1362   0         0.002     1023       10.60     0:02:08   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1357   0         0.002     1023       10.57     0:02:08   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1363   0         0.002     1023       10.60     0:02:08   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1356   0         0.002     1023       10.55     0:02:08   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1363   0         0.002     1023       10.60     0:02:08   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1358   0         0.002     1023       10.57     0:02:08   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1364   0         0.002     1023       10.60     0:02:08   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1356   0         0.002     1023       10.55     0:02:08   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1363   0         0.002     1023       10.60     0:02:08   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1359   0         0.002     1023       10.57     0:02:08   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1364   0         0.002     1023       10.60     0:02:08   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1357   0         0.002     1023       10.54     0:02:08   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1364   0         0.002     1023       10.59     0:02:08   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1360   0         0.002     1023       10.56     0:02:08   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1365   0         0.002     1023       10.60     0:02:08   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1358   0         0.002     1023       10.54     0:02:08   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1365   0         0.002     1023       10.59     0:02:08   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1360   0         0.002     1023       10.56     0:02:08   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1365   0         0.002     1023       10.60     0:02:09   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1358   0         0.002     1023       10.54     0:02:09   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1365   0         0.002     1023       10.59     0:02:09   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1361   0         0.002     1023       10.55     0:02:09   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1366   0         0.002     1023       10.58     0:02:09   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1359   0         0.002     1023       10.52     0:02:09   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1366   0         0.002     1023       10.58     0:02:09   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1362   0         0.002     1023       10.54     0:02:09   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1367   0         0.002     1023       10.58     0:02:09   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1360   0         0.002     1023       10.52     0:02:09   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1366   0         0.002     1023       10.58     0:02:09   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1362   0         0.002     1023       10.54     0:02:09   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1367   0         0.002     1023       10.58     0:02:09   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1360   0         0.002     1023       10.52     0:02:09   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1367   0         0.002     1023       10.57     0:02:09   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1363   0         0.002     1023       10.54     0:02:09   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1368   0         0.002     1023       10.56     0:02:09   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1361   0         0.002     1023       10.51     0:02:09   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1368   0         0.002     1023       10.56     0:02:09   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1363   0         0.002     1023       10.54     0:02:09   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1369   0         0.002     1023       10.56     0:02:09   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1362   0         0.002     1023       10.50     0:02:09   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1369   0         0.002     1023       10.56     0:02:09   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1364   0         0.002     1023       10.53     0:02:09   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1370   0         0.002     1023       10.56     0:02:09   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1363   0         0.002     1023       10.50     0:02:09   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1370   0         0.002     1023       10.56     0:02:09   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1365   0         0.002     1023       10.52     0:02:09   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1371   0         0.002     1023       10.56     0:02:09   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1363   0         0.002     1023       10.50     0:02:09   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1371   0         0.002     1023       10.55     0:02:09   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1366   0         0.002     1023       10.52     0:02:09   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1372   0         0.002     1023       10.55     0:02:10   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1364   0         0.002     1023       10.50     0:02:10   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1371   0         0.002     1023       10.55     0:02:10   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1367   0         0.002     1023       10.52     0:02:10   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1372   0         0.002     1023       10.55     0:02:10   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1365   0         0.002     1023       10.48     0:02:10   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1372   0         0.002     1023       10.54     0:02:10   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1367   0         0.002     1023       10.52     0:02:10   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1373   0         0.002     1023       10.54     0:02:10   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1365   0         0.002     1023       10.48     0:02:10   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1373   0         0.002     1023       10.53     0:02:10   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1368   0         0.002     1023       10.50     0:02:10   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1374   0         0.002     1023       10.53     0:02:10   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1366   0         0.002     1023       10.48     0:02:10   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1373   0         0.002     1023       10.53     0:02:10   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1369   0         0.002     1023       10.50     0:02:10   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1375   0         0.002     1023       10.53     0:02:10   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1367   0         0.002     1023       10.47     0:02:10   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1374   0         0.002     1023       10.53     0:02:10   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1370   0         0.002     1023       10.49     0:02:10   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1376   0         0.002     1023       10.52     0:02:10   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1368   0         0.002     1023       10.47     0:02:10   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1375   0         0.002     1023       10.52     0:02:10   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1371   0         0.002     1023       10.49     0:02:10   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1376   0         0.002     1023       10.52     0:02:10   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1369   0         0.002     1023       10.46     0:02:10   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1376   0         0.002     1023       10.52     0:02:10   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1371   0         0.002     1023       10.49     0:02:10   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1377   0         0.002     1023       10.52     0:02:10   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1370   0         0.002     1023       10.46     0:02:10   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1376   0         0.002     1023       10.52     0:02:10   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1372   0         0.002     1023       10.48     0:02:10   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1377   0         0.002     1023       10.52     0:02:11   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1370   0         0.002     1023       10.46     0:02:11   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1377   0         0.002     1023       10.51     0:02:11   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1372   0         0.002     1023       10.48     0:02:11   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1378   0         0.002     1023       10.50     0:02:11   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1370   0         0.002     1023       10.46     0:02:11   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1377   0         0.002     1023       10.51     0:02:11   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1373   0         0.002     1023       10.47     0:02:11   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1378   0         0.002     1023       10.50     0:02:11   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1371   0         0.002     1023       10.44     0:02:11   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1378   0         0.002     1023       10.49     0:02:11   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1374   0         0.002     1023       10.46     0:02:11   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1380   0         0.002     1023       10.50     0:02:11   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1372   0         0.002     1023       10.44     0:02:11   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1379   0         0.002     1023       10.49     0:02:11   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1375   0         0.002     1023       10.46     0:02:11   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1380   0         0.002     1023       10.50     0:02:11   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1373   0         0.002     1023       10.44     0:02:11   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1380   0         0.002     1023       10.49     0:02:11   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1376   0         0.002     1023       10.46     0:02:11   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1381   0         0.002     1023       10.49     0:02:11   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1374   0         0.002     1023       10.44     0:02:11   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1381   0         0.002     1023       10.49     0:02:11   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1376   0         0.002     1023       10.46     0:02:11   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1382   0         0.002     1023       10.49     0:02:11   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1374   0         0.002     1023       10.44     0:02:11   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1381   0         0.002     1023       10.49     0:02:11   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1377   0         0.002     1023       10.45     0:02:11   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1382   0         0.002     1023       10.49     0:02:11   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1375   0         0.002     1023       10.43     0:02:11   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1382   0         0.002     1023       10.48     0:02:11   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1378   0         0.002     1023       10.45     0:02:11   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1383   0         0.002     1023       10.48     0:02:12   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1376   0         0.002     1023       10.41     0:02:12   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1383   0         0.002     1023       10.47     0:02:12   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1379   0         0.002     1023       10.43     0:02:12   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1384   0         0.002     1023       10.47     0:02:12   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1377   0         0.002     1023       10.41     0:02:12   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1384   0         0.002     1023       10.47     0:02:12   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1380   0         0.002     1023       10.43     0:02:12   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1385   0         0.002     1023       10.47     0:02:12   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1377   0         0.002     1023       10.41     0:02:12   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1385   0         0.002     1023       10.46     0:02:12   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1380   0         0.002     1023       10.43     0:02:12   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1386   0         0.002     1023       10.46     0:02:12   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1379   0         0.002     1023       10.41     0:02:12   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1386   0         0.002     1023       10.46     0:02:12   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1381   0         0.002     1023       10.43     0:02:12   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1387   0         0.002     1023       10.46     0:02:12   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1379   0         0.002     1023       10.41     0:02:12   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1386   0         0.002     1023       10.46     0:02:12   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1382   0         0.002     1023       10.43     0:02:12   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1388   0         0.002     1023       10.46     0:02:12   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1380   0         0.002     1023       10.40     0:02:12   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1387   0         0.002     1023       10.45     0:02:12   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1383   0         0.002     1023       10.42     0:02:12   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1388   0         0.002     1023       10.46     0:02:12   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1380   0         0.002     1023       10.40     0:02:12   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1388   0         0.002     1023       10.45     0:02:12   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1383   0         0.002     1023       10.42     0:02:12   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1389   0         0.002     1023       10.44     0:02:13   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1381   0         0.002     1023       10.39     0:02:13   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1388   0         0.002     1023       10.45     0:02:13   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1384   0         0.002     1023       10.41     0:02:13   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1390   0         0.002     1023       10.44     0:02:13   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1382   0         0.002     1023       10.38     0:02:13   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1389   0         0.002     1023       10.44     0:02:13   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1385   0         0.002     1023       10.40     0:02:13   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1391   0         0.002     1023       10.44     0:02:13   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1383   0         0.002     1023       10.38     0:02:13   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1390   0         0.002     1023       10.43     0:02:13   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1386   0         0.002     1023       10.40     0:02:13   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1392   0         0.002     1023       10.43     0:02:13   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1384   0         0.002     1023       10.38     0:02:13   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1391   0         0.002     1023       10.43     0:02:13   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1387   0         0.002     1023       10.40     0:02:13   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1393   0         0.002     1023       10.43     0:02:13   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1385   0         0.002     1023       10.37     0:02:13   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1392   0         0.002     1023       10.43     0:02:13   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1388   0         0.002     1023       10.40     0:02:13   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1394   0         0.002     1023       10.43     0:02:13   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1386   0         0.002     1023       10.37     0:02:13   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1393   0         0.002     1023       10.43     0:02:13   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1389   0         0.002     1023       10.39     0:02:13   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1395   0         0.002     1023       10.43     0:02:13   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1387   0         0.002     1023       10.37     0:02:13   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1394   0         0.002     1023       10.42     0:02:13   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1390   0         0.002     1023       10.39     0:02:13   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1395   0         0.002     1023       10.43     0:02:13   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1388   0         0.002     1023       10.37     0:02:13   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1395   0         0.002     1023       10.42     0:02:13   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1391   0         0.002     1023       10.39     0:02:13   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1396   0         0.002     1023       10.43     0:02:14   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1388   0         0.002     1023       10.37     0:02:14   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1395   0         0.002     1023       10.42     0:02:13   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1391   0         0.002     1023       10.39     0:02:13   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1397   0         0.002     1023       10.42     0:02:14   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1389   0         0.002     1023       10.36     0:02:14   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1396   0         0.002     1023       10.41     0:02:14   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1392   0         0.002     1023       10.38     0:02:14   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1398   0         0.002     1023       10.42     0:02:14   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1390   0         0.002     1023       10.36     0:02:14   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1397   0         0.002     1023       10.41     0:02:14   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1393   0         0.002     1023       10.38     0:02:14   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1399   0         0.002     1023       10.42     0:02:14   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1391   0         0.002     1023       10.36     0:02:14   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1398   0         0.002     1023       10.41     0:02:14   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1394   0         0.002     1023       10.38     0:02:14   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1400   0         0.002     1023       10.42     0:02:14   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1392   0         0.002     1023       10.36     0:02:14   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1399   0         0.002     1023       10.41     0:02:14   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1395   0         0.002     1023       10.38     0:02:14   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1401   0         0.002     1023       10.42     0:02:14   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1393   0         0.002     1023       10.36     0:02:14   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1400   0         0.002     1023       10.41     0:02:14   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1396   0         0.002     1023       10.38     0:02:14   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1402   0         0.002     1023       10.42     0:02:14   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1394   0         0.002     1023       10.36     0:02:14   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1401   0         0.002     1023       10.41     0:02:14   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1397   0         0.002     1023       10.38     0:02:14   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1403   0         0.002     1023       10.42     0:02:14   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1395   0         0.002     1023       10.36     0:02:14   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1402   0         0.002     1023       10.41     0:02:14   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1398   0         0.002     1023       10.38     0:02:14   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1404   0         0.002     1023       10.41     0:02:14   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1396   0         0.002     1023       10.35     0:02:14   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1403   0         0.002     1023       10.40     0:02:14   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1399   0         0.002     1023       10.37     0:02:14   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1404   0         0.002     1023       10.41     0:02:15   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1396   0         0.002     1023       10.35     0:02:15   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1403   0         0.002     1023       10.40     0:02:15   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1399   0         0.002     1023       10.37     0:02:15   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1406   0         0.002     1023       10.40     0:02:15   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1397   0         0.002     1023       10.34     0:02:15   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1404   0         0.002     1023       10.39     0:02:15   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1400   0         0.002     1023       10.36     0:02:15   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1407   0         0.002     1023       10.40     0:02:15   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1398   0         0.002     1023       10.34     0:02:15   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1405   0         0.002     1023       10.39     0:02:15   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1402   0         0.002     1023       10.36     0:02:15   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1408   0         0.002     1023       10.39     0:02:15   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1399   0         0.002     1023       10.34     0:02:15   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1406   0         0.002     1023       10.39     0:02:15   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1402   0         0.002     1023       10.36     0:02:15   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1408   0         0.002     1023       10.39     0:02:15   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1400   0         0.002     1023       10.33     0:02:15   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1407   0         0.002     1023       10.38     0:02:15   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1403   0         0.002     1023       10.36     0:02:15   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1409   0         0.002     1023       10.39     0:02:15   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1401   0         0.002     1023       10.33     0:02:15   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1408   0         0.002     1023       10.38     0:02:15   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1404   0         0.002     1023       10.35     0:02:15   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1410   0         0.002     1023       10.39     0:02:15   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1402   0         0.002     1023       10.33     0:02:15   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1409   0         0.002     1023       10.38     0:02:15   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1405   0         0.002     1023       10.35     0:02:15   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1410   0         0.002     1023       10.39     0:02:15   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1402   0         0.002     1023       10.33     0:02:15   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1409   0         0.002     1023       10.38     0:02:15   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1405   0         0.002     1023       10.35     0:02:15   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1411   0         0.002     1023       10.38     0:02:16   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1403   0         0.002     1023       10.32     0:02:16   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1410   0         0.002     1023       10.37     0:02:16   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1406   0         0.002     1023       10.34     0:02:16   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1412   0         0.002     1023       10.38     0:02:16   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1405   0         0.002     511        10.32     0:02:16   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1411   0         0.002     1023       10.37     0:02:16   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1407   0         0.002     1023       10.34     0:02:16   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1413   0         0.002     1023       10.37     0:02:16   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1405   0         0.002     511        10.32     0:02:16   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1412   0         0.002     1023       10.36     0:02:16   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1408   0         0.002     1023       10.34     0:02:16   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1414   0         0.002     1023       10.37     0:02:16   0:01:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1406   0         0.002     1023       10.31     0:02:16   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1413   0         0.002     1023       10.36     0:02:16   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1409   0         0.002     1023       10.33     0:02:16   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1415   0         0.002     1023       10.37     0:02:16   0:01:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1407   0         0.002     1023       10.31     0:02:16   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1414   0         0.002     1023       10.36     0:02:16   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1410   0         0.002     1023       10.33     0:02:16   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1416   0         0.002     1023       10.37     0:02:16   0:01:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1408   0         0.002     1023       10.31     0:02:16   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1414   0         0.002     1023       10.36     0:02:16   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1410   0         0.002     1023       10.33     0:02:16   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1417   0         0.002     1023       10.36     0:02:16   0:01:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1409   0         0.002     1023       10.31     0:02:16   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1415   0         0.002     1023       10.35     0:02:16   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1411   0         0.002     1023       10.32     0:02:16   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1417   0         0.002     1023       10.36     0:02:16   0:01:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1409   0         0.002     1023       10.31     0:02:16   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1415   0         0.002     1023       10.35     0:02:16   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1411   0         0.002     1023       10.32     0:02:16   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1418   0         0.002     1023       10.35     0:02:17   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1410   0         0.002     1023       10.29     0:02:17   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1416   0         0.002     1023       10.34     0:02:17   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1412   0         0.002     1023       10.31     0:02:17   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1419   0         0.002     1023       10.34     0:02:17   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1411   0         0.002     1023       10.29     0:02:17   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1417   0         0.002     1023       10.33     0:02:17   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1413   0         0.002     1023       10.30     0:02:17   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1420   0         0.002     1023       10.34     0:02:17   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1412   0         0.002     1023       10.29     0:02:17   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1418   0         0.002     1023       10.33     0:02:17   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1414   0         0.002     1023       10.30     0:02:17   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1420   0         0.002     1023       10.34     0:02:17   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1413   0         0.002     1023       10.28     0:02:17   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1419   0         0.002     1023       10.33     0:02:17   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1415   0         0.002     1023       10.30     0:02:17   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1422   0         0.002     1023       10.34     0:02:17   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1414   0         0.002     1023       10.29     0:02:17   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1420   0         0.002     1023       10.33     0:02:17   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1416   0         0.002     1023       10.30     0:02:17   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1423   0         0.002     1023       10.34     0:02:17   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1415   0         0.002     1023       10.28     0:02:17   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1422   0         0.002     1023       10.33     0:02:17   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1417   0         0.002     1023       10.30     0:02:17   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1424   0         0.002     1023       10.34     0:02:17   0:01:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1416   0         0.002     1023       10.28     0:02:17   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1423   0         0.002     1023       10.33     0:02:17   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1418   0         0.002     1023       10.30     0:02:17   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1425   0         0.002     1023       10.34     0:02:17   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1417   0         0.002     1023       10.28     0:02:17   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1424   0         0.002     1023       10.33     0:02:17   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1419   0         0.002     1023       10.30     0:02:17   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1425   0         0.002     1023       10.34     0:02:17   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1417   0         0.002     1023       10.28     0:02:17   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1424   0         0.002     1023       10.33     0:02:17   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1420   0         0.002     1023       10.30     0:02:17   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1426   0         0.002     1023       10.33     0:02:18   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1418   0         0.002     1023       10.28     0:02:18   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1425   0         0.002     1023       10.32     0:02:18   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1421   0         0.002     1023       10.29     0:02:18   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1427   0         0.002     1023       10.33     0:02:18   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1420   0         0.002     1023       10.28     0:02:18   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1426   0         0.002     1023       10.32     0:02:18   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1422   0         0.002     1023       10.29     0:02:18   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1428   0         0.002     1023       10.33     0:02:18   0:01:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1421   0         0.002     1023       10.28     0:02:18   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1427   0         0.002     1023       10.32     0:02:18   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1423   0         0.002     1023       10.29     0:02:18   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1429   0         0.002     1023       10.33     0:02:18   0:01:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1422   0         0.002     1023       10.28     0:02:18   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1428   0         0.002     1023       10.32     0:02:18   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1424   0         0.002     1023       10.29     0:02:18   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1431   0         0.002     1023       10.33     0:02:18   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1423   0         0.002     1023       10.28     0:02:18   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1430   0         0.002     1023       10.32     0:02:18   0:01:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1425   0         0.002     1023       10.29     0:02:18   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1432   0         0.002     1023       10.33     0:02:18   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1424   0         0.002     1023       10.28     0:02:18   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1430   0         0.002     1023       10.32     0:02:18   0:01:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1426   0         0.002     1023       10.29     0:02:18   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1433   0         0.002     1023       10.33     0:02:18   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1425   0         0.002     1023       10.27     0:02:18   0:01:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1432   0         0.002     1023       10.32     0:02:18   0:01:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1427   0         0.002     1023       10.29     0:02:18   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1434   0         0.002     1023       10.33     0:02:18   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1426   0         0.002     1023       10.27     0:02:18   0:01:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1433   0         0.002     1023       10.32     0:02:18   0:01:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1429   0         0.002     1023       10.29     0:02:18   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1434   0         0.002     1023       10.33     0:02:18   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1427   0         0.002     1023       10.27     0:02:18   0:01:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1433   0         0.002     1023       10.32     0:02:18   0:01:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1429   0         0.002     1023       10.29     0:02:18   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1435   0         0.002     1023       10.32     0:02:19   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1428   0         0.002     1023       10.27     0:02:19   0:01:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1434   0         0.002     1023       10.31     0:02:19   0:01:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1430   0         0.002     1023       10.29     0:02:19   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1436   0         0.002     1023       10.32     0:02:19   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1429   0         0.002     1023       10.27     0:02:19   0:01:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1435   0         0.002     1023       10.31     0:02:19   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1431   0         0.002     1023       10.28     0:02:19   0:01:20   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1438   0         0.002     1023       10.32     0:02:19   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1430   0         0.002     1023       10.27     0:02:19   0:01:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1437   0         0.002     1023       10.31     0:02:19   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1433   0         0.002     1023       10.28     0:02:19   0:01:20   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1439   0         0.002     1023       10.32     0:02:19   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1431   0         0.002     1023       10.27     0:02:19   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1438   0         0.002     1023       10.31     0:02:19   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1434   0         0.002     1023       10.29     0:02:19   0:01:20   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1440   0         0.002     1023       10.32     0:02:19   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1433   0         0.002     1023       10.27     0:02:19   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1439   0         0.002     1023       10.31     0:02:19   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1435   0         0.002     1023       10.29     0:02:19   0:01:20   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1441   0         0.002     1023       10.32     0:02:19   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1434   0         0.002     1023       10.27     0:02:19   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1440   0         0.002     1023       10.31     0:02:19   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1436   0         0.002     1023       10.29     0:02:19   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1443   0         0.002     1023       10.32     0:02:19   0:01:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1435   0         0.002     1023       10.27     0:02:19   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1442   0         0.002     1023       10.31     0:02:19   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1438   0         0.002     1023       10.29     0:02:19   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1444   0         0.002     1023       10.32     0:02:19   0:01:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1436   0         0.002     1023       10.27     0:02:19   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1443   0         0.002     1023       10.32     0:02:19   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1439   0         0.002     1023       10.29     0:02:19   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1444   0         0.002     1023       10.32     0:02:20   0:01:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1437   0         0.002     1023       10.26     0:02:20   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1443   0         0.002     1023       10.32     0:02:20   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1439   0         0.002     1023       10.29     0:02:20   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1446   0         0.002     1023       10.32     0:02:20   0:01:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1438   0         0.002     1023       10.26     0:02:20   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1444   0         0.002     1023       10.31     0:02:20   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1440   0         0.002     1023       10.28     0:02:20   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1447   0         0.002     1023       10.32     0:02:20   0:01:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1439   0         0.002     1023       10.26     0:02:20   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1445   0         0.002     1023       10.31     0:02:20   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1442   0         0.002     1023       10.28     0:02:20   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1448   0         0.002     1023       10.31     0:02:20   0:01:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1440   0         0.002     1023       10.26     0:02:20   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1446   0         0.002     1023       10.30     0:02:20   0:01:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1443   0         0.002     1023       10.27     0:02:20   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1449   0         0.002     1023       10.31     0:02:20   0:01:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1441   0         0.002     1023       10.25     0:02:20   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1447   0         0.002     1023       10.30     0:02:20   0:01:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1444   0         0.002     1023       10.27     0:02:20   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1450   0         0.002     1023       10.31     0:02:20   0:01:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1442   0         0.002     1023       10.25     0:02:20   0:01:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1449   0         0.002     1023       10.30     0:02:20   0:01:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1445   0         0.002     1023       10.27     0:02:20   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1452   0         0.002     1023       10.31     0:02:20   0:01:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1444   0         0.002     1023       10.26     0:02:20   0:01:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1450   0         0.002     1023       10.30     0:02:20   0:01:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1446   0         0.002     1023       10.27     0:02:20   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1453   0         0.002     1023       10.31     0:02:20   0:01:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1445   0         0.002     1023       10.26     0:02:20   0:01:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1451   0         0.002     1023       10.30     0:02:20   0:01:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1448   0         0.002     1023       10.28     0:02:20   0:01:17   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1454   0         0.002     1023       10.31     0:02:21   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1446   0         0.002     1023       10.26     0:02:21   0:01:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1452   0         0.002     1023       10.30     0:02:21   0:01:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1449   0         0.002     1023       10.28     0:02:21   0:01:17   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1455   0         0.002     1023       10.31     0:02:21   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1447   0         0.002     1023       10.26     0:02:21   0:01:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1454   0         0.002     1023       10.30     0:02:21   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1450   0         0.002     1023       10.28     0:02:21   0:01:17   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1456   0         0.002     1023       10.31     0:02:21   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1448   0         0.002     1023       10.26     0:02:21   0:01:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1454   0         0.002     1023       10.30     0:02:21   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1451   0         0.002     1023       10.28     0:02:21   0:01:16   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1457   0         0.002     1023       10.31     0:02:21   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1449   0         0.002     1023       10.25     0:02:21   0:01:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1455   0         0.002     1023       10.30     0:02:21   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1452   0         0.002     1023       10.27     0:02:21   0:01:16   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1458   0         0.002     1023       10.30     0:02:21   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1450   0         0.002     1023       10.25     0:02:21   0:01:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1456   0         0.002     1023       10.29     0:02:21   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1453   0         0.002     1023       10.27     0:02:21   0:01:16   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1459   0         0.002     1023       10.31     0:02:21   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1451   0         0.002     1023       10.25     0:02:21   0:01:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1457   0         0.002     1023       10.29     0:02:21   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1454   0         0.002     1023       10.27     0:02:21   0:01:16   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1460   0         0.002     1023       10.31     0:02:21   0:01:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1452   0         0.002     1023       10.25     0:02:21   0:01:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1459   0         0.002     1023       10.30     0:02:21   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1455   0         0.002     1023       10.27     0:02:21   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1462   0         0.002     1023       10.31     0:02:21   0:01:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1454   0         0.002     1023       10.25     0:02:21   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1460   0         0.002     1023       10.30     0:02:21   0:01:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1457   0         0.002     1023       10.27     0:02:21   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1463   0         0.002     1023       10.31     0:02:21   0:01:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1455   0         0.002     1023       10.25     0:02:21   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1461   0         0.002     1023       10.30     0:02:21   0:01:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1458   0         0.002     1023       10.27     0:02:21   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1464   0         0.002     1023       10.31     0:02:22   0:01:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1456   0         0.002     1023       10.25     0:02:22   0:01:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1462   0         0.002     1023       10.30     0:02:22   0:01:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1459   0         0.002     1023       10.27     0:02:22   0:01:14   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1465   0         0.002     1023       10.31     0:02:22   0:01:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1458   0         0.002     1023       10.25     0:02:22   0:01:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1464   0         0.002     1023       10.30     0:02:22   0:01:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1461   0         0.002     1023       10.28     0:02:22   0:01:14   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1466   0         0.002     1023       10.30     0:02:22   0:01:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1459   0         0.002     1023       10.25     0:02:22   0:01:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1465   0         0.002     1023       10.29     0:02:22   0:01:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1462   0         0.002     1023       10.27     0:02:22   0:01:14   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1468   0         0.002     1023       10.30     0:02:22   0:01:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1460   0         0.002     1023       10.25     0:02:22   0:01:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1466   0         0.002     1023       10.29     0:02:22   0:01:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1463   0         0.002     1023       10.27     0:02:22   0:01:14   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1469   0         0.002     1023       10.31     0:02:22   0:01:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1461   0         0.002     1023       10.25     0:02:22   0:01:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1467   0         0.002     1023       10.29     0:02:22   0:01:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1464   0         0.002     1023       10.27     0:02:22   0:01:13   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1470   0         0.002     1023       10.31     0:02:22   0:01:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1463   0         0.002     1023       10.25     0:02:22   0:01:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1468   0         0.002     1023       10.29     0:02:22   0:01:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1465   0         0.002     1023       10.27     0:02:22   0:01:13   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1472   0         0.002     1023       10.31     0:02:22   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1464   0         0.002     1023       10.25     0:02:22   0:01:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1470   0         0.002     1023       10.30     0:02:22   0:01:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1467   0         0.002     1023       10.27     0:02:22   0:01:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1473   0         0.002     1023       10.31     0:02:22   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1465   0         0.002     1023       10.25     0:02:22   0:01:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1471   0         0.002     1023       10.30     0:02:22   0:01:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1468   0         0.002     1023       10.28     0:02:22   0:01:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1474   0         0.002     1023       10.31     0:02:23   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1466   0         0.002     1023       10.25     0:02:23   0:01:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1472   0         0.002     1023       10.30     0:02:23   0:01:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1469   0         0.002     1023       10.28     0:02:23   0:01:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1475   0         0.002     1023       10.31     0:02:23   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1467   0         0.002     1023       10.25     0:02:23   0:01:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1473   0         0.002     1023       10.29     0:02:23   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1470   0         0.002     1023       10.27     0:02:23   0:01:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1475   0         0.002     1023       10.31     0:02:23   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1467   0         0.002     1023       10.25     0:02:23   0:01:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1473   0         0.002     1023       10.29     0:02:23   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1471   0         0.002     1023       10.27     0:02:23   0:01:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1476   0         0.002     1023       10.30     0:02:23   0:01:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1468   0         0.002     1023       10.25     0:02:23   0:01:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1475   0         0.002     1023       10.29     0:02:23   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1472   0         0.002     1023       10.27     0:02:23   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1477   0         0.002     1023       10.30     0:02:23   0:01:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1470   0         0.002     1023       10.25     0:02:23   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1476   0         0.002     1023       10.29     0:02:23   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1473   0         0.002     1023       10.27     0:02:23   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1479   0         0.002     1023       10.30     0:02:23   0:01:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1471   0         0.002     1023       10.25     0:02:23   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1476   0         0.002     1023       10.29     0:02:23   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1474   0         0.002     1023       10.27     0:02:23   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1480   0         0.002     1023       10.30     0:02:23   0:01:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1472   0         0.002     1023       10.25     0:02:23   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1478   0         0.002     1023       10.29     0:02:23   0:01:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1475   0         0.002     1023       10.27     0:02:23   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1481   0         0.002     1023       10.30     0:02:23   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1473   0         0.002     1023       10.25     0:02:23   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1479   0         0.002     1023       10.29     0:02:23   0:01:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1476   0         0.002     1023       10.27     0:02:23   0:01:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1483   0         0.002     1023       10.30     0:02:23   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1474   0         0.002     1023       10.25     0:02:23   0:01:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1481   0         0.002     1023       10.29     0:02:23   0:01:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1478   0         0.002     1023       10.27     0:02:23   0:01:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1484   0         0.002     1023       10.31     0:02:24   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1476   0         0.002     1023       10.25     0:02:24   0:01:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1482   0         0.002     1023       10.29     0:02:24   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1479   0         0.002     1023       10.27     0:02:24   0:01:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1485   0         0.002     1023       10.31     0:02:24   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1477   0         0.002     1023       10.25     0:02:24   0:01:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1483   0         0.002     1023       10.29     0:02:24   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1480   0         0.002     1023       10.27     0:02:24   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1486   0         0.002     1023       10.30     0:02:24   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1478   0         0.002     1023       10.24     0:02:24   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1484   0         0.002     1023       10.29     0:02:24   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1481   0         0.002     1023       10.27     0:02:24   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1487   0         0.002     1023       10.30     0:02:24   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1479   0         0.002     1023       10.24     0:02:24   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1485   0         0.002     1023       10.29     0:02:24   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1482   0         0.002     1023       10.27     0:02:24   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1489   0         0.002     1023       10.30     0:02:24   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1480   0         0.002     1023       10.24     0:02:24   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1487   0         0.002     1023       10.28     0:02:24   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1484   0         0.002     1023       10.26     0:02:24   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1490   0         0.002     1023       10.29     0:02:24   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1481   0         0.002     1023       10.24     0:02:24   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1488   0         0.002     1023       10.28     0:02:24   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1485   0         0.002     1023       10.26     0:02:24   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1491   0         0.002     1023       10.29     0:02:24   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1482   0         0.002     1023       10.24     0:02:24   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1489   0         0.002     1023       10.28     0:02:24   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1486   0         0.002     1023       10.26     0:02:24   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1492   0         0.002     1023       10.29     0:02:24   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1483   0         0.002     1023       10.23     0:02:24   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1490   0         0.002     1023       10.28     0:02:24   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1487   0         0.002     1023       10.26     0:02:24   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1493   0         0.002     1023       10.29     0:02:25   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1484   0         0.002     1023       10.23     0:02:25   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1491   0         0.002     1023       10.28     0:02:25   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1488   0         0.002     1023       10.26     0:02:25   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1494   0         0.002     1023       10.29     0:02:25   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1485   0         0.002     1023       10.23     0:02:25   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1492   0         0.002     1023       10.28     0:02:25   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1489   0         0.002     1023       10.26     0:02:25   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1495   0         0.002     1023       10.28     0:02:25   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1486   0         0.002     1023       10.23     0:02:25   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1493   0         0.002     1023       10.27     0:02:25   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1490   0         0.002     1023       10.25     0:02:25   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1495   0         0.002     1023       10.28     0:02:25   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1486   0         0.002     1023       10.23     0:02:25   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1493   0         0.002     1023       10.27     0:02:25   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1490   0         0.002     1023       10.25     0:02:25   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1497   0         0.002     1023       10.28     0:02:25   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1487   0         0.002     1023       10.21     0:02:25   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1494   0         0.002     1023       10.26     0:02:25   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1491   0         0.002     1023       10.24     0:02:25   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1497   0         0.002     1023       10.28     0:02:25   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1488   0         0.002     1023       10.21     0:02:25   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1495   0         0.002     1023       10.26     0:02:25   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1492   0         0.002     1023       10.24     0:02:25   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1498   0         0.002     1023       10.27     0:02:25   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1489   0         0.002     1023       10.21     0:02:25   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1496   0         0.002     1023       10.26     0:02:25   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1493   0         0.002     1023       10.24     0:02:25   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1499   0         0.002     1023       10.27     0:02:26   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1491   0         0.002     1023       10.21     0:02:26   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1498   0         0.002     1023       10.26     0:02:26   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1494   0         0.002     1023       10.24     0:02:26   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1501   0         0.002     1023       10.27     0:02:26   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1492   0         0.002     1023       10.21     0:02:26   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1499   0         0.002     1023       10.26     0:02:26   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1495   0         0.002     1023       10.24     0:02:26   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1502   0         0.002     1023       10.27     0:02:26   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1493   0         0.002     1023       10.21     0:02:26   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1500   0         0.002     1023       10.26     0:02:26   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1496   0         0.002     1023       10.24     0:02:26   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1502   0         0.002     1023       10.27     0:02:26   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1493   0         0.002     1023       10.21     0:02:26   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1500   0         0.002     1023       10.26     0:02:26   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1497   0         0.002     1023       10.23     0:02:26   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1503   0         0.002     1023       10.26     0:02:26   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1494   0         0.002     1023       10.20     0:02:26   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1501   0         0.002     1023       10.25     0:02:26   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1498   0         0.002     1023       10.22     0:02:26   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1504   0         0.002     1023       10.26     0:02:26   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1495   0         0.002     1023       10.20     0:02:26   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1502   0         0.002     1023       10.24     0:02:26   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1499   0         0.002     1023       10.22     0:02:26   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1505   0         0.002     1023       10.25     0:02:26   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1496   0         0.002     1023       10.20     0:02:26   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1503   0         0.002     1023       10.24     0:02:26   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1500   0         0.002     1023       10.22     0:02:26   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1506   0         0.002     1023       10.25     0:02:26   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1497   0         0.002     1023       10.19     0:02:26   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1504   0         0.002     1023       10.24     0:02:26   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1501   0         0.002     1023       10.22     0:02:26   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1507   0         0.002     1023       10.25     0:02:27   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1498   0         0.002     1023       10.19     0:02:27   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1505   0         0.002     1023       10.24     0:02:27   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1501   0         0.002     1023       10.22     0:02:27   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1508   0         0.002     1023       10.25     0:02:27   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1499   0         0.002     1023       10.19     0:02:27   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1506   0         0.002     1023       10.24     0:02:27   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1502   0         0.002     1023       10.21     0:02:27   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1509   0         0.002     1023       10.25     0:02:27   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1500   0         0.002     1023       10.19     0:02:27   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1507   0         0.002     1023       10.23     0:02:27   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1503   0         0.002     1023       10.21     0:02:27   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1510   0         0.002     1023       10.25     0:02:27   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1501   0         0.002     1023       10.19     0:02:27   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1508   0         0.002     1023       10.23     0:02:27   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1504   0         0.002     1023       10.21     0:02:27   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1510   0         0.002     1023       10.25     0:02:27   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1501   0         0.002     1023       10.19     0:02:27   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1508   0         0.002     1023       10.23     0:02:27   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1505   0         0.002     1023       10.20     0:02:27   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1511   0         0.002     1023       10.24     0:02:27   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1502   0         0.002     1023       10.18     0:02:27   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1509   0         0.002     1023       10.23     0:02:27   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1505   0         0.002     1023       10.20     0:02:27   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1512   0         0.002     1023       10.24     0:02:27   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1503   0         0.002     1023       10.18     0:02:27   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1510   0         0.002     1023       10.23     0:02:27   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1506   0         0.002     1023       10.20     0:02:27   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1513   0         0.002     1023       10.24     0:02:27   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1504   0         0.002     1023       10.18     0:02:27   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1511   0         0.002     1023       10.22     0:02:27   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1507   0         0.002     1023       10.20     0:02:27   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1514   0         0.002     1023       10.24     0:02:27   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1505   0         0.002     1023       10.17     0:02:27   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1512   0         0.002     1023       10.22     0:02:27   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1508   0         0.002     1023       10.20     0:02:27   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1515   0         0.002     1023       10.23     0:02:28   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1506   0         0.002     1023       10.17     0:02:28   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1513   0         0.002     1023       10.22     0:02:28   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1509   0         0.002     1023       10.19     0:02:28   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1516   0         0.002     1023       10.23     0:02:28   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1507   0         0.002     1023       10.17     0:02:28   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1514   0         0.002     1023       10.22     0:02:28   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1510   0         0.002     1023       10.19     0:02:28   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1517   0         0.002     1023       10.23     0:02:28   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1508   0         0.002     1023       10.17     0:02:28   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1515   0         0.002     1023       10.22     0:02:28   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1511   0         0.002     1023       10.19     0:02:28   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1518   0         0.002     1023       10.23     0:02:28   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1509   0         0.002     1023       10.17     0:02:28   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1516   0         0.002     1023       10.22     0:02:28   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1512   0         0.002     1023       10.19     0:02:28   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1518   0         0.002     1023       10.23     0:02:28   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1509   0         0.002     1023       10.17     0:02:28   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1516   0         0.002     1023       10.22     0:02:28   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1512   0         0.002     1023       10.19     0:02:28   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1519   0         0.002     1023       10.22     0:02:28   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1510   0         0.002     1023       10.15     0:02:28   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1517   0         0.002     1023       10.20     0:02:28   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1513   0         0.002     1023       10.18     0:02:28   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1519   0         0.002     1023       10.22     0:02:28   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1510   0         0.002     1023       10.15     0:02:28   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1518   0         0.002     1023       10.20     0:02:28   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1514   0         0.002     1023       10.17     0:02:28   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1520   0         0.002     1023       10.20     0:02:29   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1511   0         0.002     1023       10.14     0:02:29   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1519   0         0.002     1023       10.19     0:02:29   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1515   0         0.002     1023       10.17     0:02:29   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1521   0         0.002     1023       10.20     0:02:29   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1512   0         0.002     1023       10.14     0:02:29   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1520   0         0.002     1023       10.19     0:02:29   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1516   0         0.002     1023       10.16     0:02:29   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1522   0         0.002     1023       10.20     0:02:29   0:01:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1513   0         0.002     1023       10.14     0:02:29   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1520   0         0.002     1023       10.19     0:02:29   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1516   0         0.002     1023       10.16     0:02:29   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1523   0         0.002     1023       10.19     0:02:29   0:01:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1514   0         0.002     1023       10.14     0:02:29   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1521   0         0.002     1023       10.19     0:02:29   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1518   0         0.002     1023       10.16     0:02:29   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1524   0         0.002     1023       10.19     0:02:29   0:01:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1515   0         0.002     1023       10.14     0:02:29   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1522   0         0.002     1023       10.18     0:02:29   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1519   0         0.002     1023       10.16     0:02:29   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1525   0         0.002     1023       10.19     0:02:29   0:01:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1516   0         0.002     1023       10.14     0:02:29   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1524   0         0.002     1023       10.18     0:02:29   0:01:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1520   0         0.002     1023       10.16     0:02:29   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1526   0         0.002     1023       10.19     0:02:29   0:01:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1518   0         0.002     1023       10.14     0:02:29   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1525   0         0.002     1023       10.18     0:02:29   0:01:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1521   0         0.002     1023       10.16     0:02:29   0:01:04   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1527   0         0.002     1023       10.19     0:02:29   0:01:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1518   0         0.002     1023       10.14     0:02:29   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1525   0         0.002     1023       10.18     0:02:29   0:01:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1522   0         0.002     1023       10.16     0:02:29   0:01:04   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1528   0         0.002     1023       10.19     0:02:29   0:01:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1519   0         0.002     1023       10.13     0:02:29   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1526   0         0.002     1023       10.18     0:02:29   0:01:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1523   0         0.002     1023       10.16     0:02:29   0:01:04   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1529   0         0.002     1023       10.19     0:02:30   0:01:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1520   0         0.002     1023       10.13     0:02:30   0:01:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1528   0         0.002     1023       10.18     0:02:30   0:01:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1524   0         0.002     1023       10.15     0:02:30   0:01:04   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1530   0         0.002     1023       10.19     0:02:30   0:01:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1522   0         0.002     1023       10.13     0:02:30   0:01:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1529   0         0.002     1023       10.18     0:02:30   0:01:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1525   0         0.002     1023       10.16     0:02:30   0:01:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1532   0         0.002     1023       10.19     0:02:30   0:01:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1523   0         0.002     1023       10.13     0:02:30   0:01:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1530   0         0.002     1023       10.18     0:02:30   0:01:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1526   0         0.002     1023       10.16     0:02:30   0:01:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1533   0         0.002     1023       10.19     0:02:30   0:01:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1524   0         0.002     1023       10.13     0:02:30   0:01:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1531   0         0.002     1023       10.18     0:02:30   0:01:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1528   0         0.002     1023       10.16     0:02:30   0:01:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1534   0         0.002     1023       10.19     0:02:30   0:01:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1525   0         0.002     1023       10.13     0:02:30   0:01:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1532   0         0.002     1023       10.18     0:02:30   0:01:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1529   0         0.002     1023       10.16     0:02:30   0:01:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1535   0         0.002     1023       10.19     0:02:30   0:01:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1526   0         0.002     1023       10.13     0:02:30   0:01:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1533   0         0.002     1023       10.18     0:02:30   0:01:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1529   0         0.002     1023       10.16     0:02:30   0:01:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1536   0         0.002     1023       10.19     0:02:30   0:01:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1527   0         0.002     1023       10.13     0:02:30   0:01:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1534   0         0.002     1023       10.18     0:02:30   0:01:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1530   0         0.002     1023       10.15     0:02:30   0:01:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1536   0         0.002     1023       10.19     0:02:30   0:01:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1528   0         0.002     1023       10.13     0:02:30   0:01:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1535   0         0.002     1023       10.18     0:02:30   0:01:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1531   0         0.002     1023       10.15     0:02:30   0:01:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1537   0         0.002     1023       10.18     0:02:31   0:01:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1528   0         0.002     1023       10.13     0:02:31   0:01:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1536   0         0.002     1023       10.17     0:02:31   0:01:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1532   0         0.002     1023       10.14     0:02:31   0:01:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1539   0         0.002     1023       10.18     0:02:31   0:01:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1530   0         0.002     1023       10.12     0:02:31   0:01:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1537   0         0.002     1023       10.17     0:02:31   0:01:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1533   0         0.002     1023       10.14     0:02:31   0:01:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1539   0         0.002     1023       10.18     0:02:31   0:01:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1530   0         0.002     1023       10.12     0:02:31   0:01:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1537   0         0.002     1023       10.17     0:02:31   0:01:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1533   0         0.002     1023       10.14     0:02:31   0:01:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1540   0         0.002     1023       10.17     0:02:31   0:01:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1531   0         0.002     1023       10.11     0:02:31   0:01:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1538   0         0.002     1023       10.16     0:02:31   0:01:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1534   0         0.002     1023       10.13     0:02:31   0:01:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1541   0         0.002     1023       10.17     0:02:31   0:01:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1532   0         0.002     1023       10.11     0:02:31   0:01:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1539   0         0.002     1023       10.16     0:02:31   0:01:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1535   0         0.002     1023       10.13     0:02:31   0:01:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1541   0         0.002     1023       10.17     0:02:31   0:01:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1533   0         0.002     1023       10.11     0:02:31   0:01:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1540   0         0.002     1023       10.16     0:02:31   0:01:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1536   0         0.002     1023       10.13     0:02:31   0:01:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1543   0         0.002     1023       10.16     0:02:31   0:01:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1534   0         0.002     1023       10.11     0:02:31   0:01:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1541   0         0.002     1023       10.16     0:02:31   0:01:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1537   0         0.002     1023       10.13     0:02:31   0:01:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1544   0         0.002     1023       10.16     0:02:31   0:01:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1535   0         0.002     1023       10.11     0:02:31   0:01:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1542   0         0.002     1023       10.15     0:02:31   0:01:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1538   0         0.002     1023       10.12     0:02:31   0:01:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1545   0         0.002     1023       10.16     0:02:32   0:01:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1536   0         0.002     1023       10.11     0:02:32   0:01:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1543   0         0.002     1023       10.15     0:02:32   0:01:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1539   0         0.002     1023       10.12     0:02:32   0:01:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1546   0         0.002     1023       10.16     0:02:32   0:01:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1537   0         0.002     1023       10.11     0:02:32   0:01:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1544   0         0.002     1023       10.15     0:02:32   0:01:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1540   0         0.002     1023       10.12     0:02:32   0:01:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1546   0         0.002     1023       10.16     0:02:32   0:01:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1538   0         0.002     1023       10.11     0:02:32   0:01:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1545   0         0.002     1023       10.15     0:02:32   0:01:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1540   0         0.002     1023       10.12     0:02:32   0:01:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1547   0         0.002     1023       10.16     0:02:32   0:01:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1538   0         0.002     1023       10.11     0:02:32   0:01:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1545   0         0.002     1023       10.15     0:02:32   0:01:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1541   0         0.002     1023       10.12     0:02:32   0:01:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1548   0         0.002     1023       10.15     0:02:32   0:01:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1539   0         0.002     1023       10.09     0:02:32   0:01:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1546   0         0.002     1023       10.14     0:02:32   0:01:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1542   0         0.002     1023       10.11     0:02:32   0:01:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1549   0         0.002     1023       10.15     0:02:32   0:01:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1540   0         0.002     1023       10.09     0:02:32   0:01:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1547   0         0.002     1023       10.14     0:02:32   0:01:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1543   0         0.002     1023       10.11     0:02:32   0:01:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1550   0         0.002     1023       10.15     0:02:32   0:01:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1541   0         0.002     1023       10.09     0:02:32   0:01:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1548   0         0.002     1023       10.14     0:02:32   0:01:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1544   0         0.002     1023       10.11     0:02:32   0:01:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1551   0         0.002     1023       10.15     0:02:32   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1542   0         0.002     1023       10.09     0:02:32   0:01:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1550   0         0.002     1023       10.14     0:02:32   0:01:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1545   0         0.002     1023       10.11     0:02:32   0:01:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1552   0         0.002     1023       10.15     0:02:33   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1543   0         0.002     1023       10.09     0:02:33   0:01:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1551   0         0.002     1023       10.14     0:02:32   0:01:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1546   0         0.002     1023       10.11     0:02:32   0:01:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1553   0         0.002     1023       10.15     0:02:33   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1544   0         0.002     1023       10.09     0:02:33   0:01:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1551   0         0.002     1023       10.14     0:02:33   0:01:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1547   0         0.002     1023       10.11     0:02:33   0:01:00   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1554   0         0.002     1023       10.15     0:02:33   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1545   0         0.002     1023       10.09     0:02:33   0:01:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1552   0         0.002     1023       10.14     0:02:33   0:01:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1548   0         0.002     1023       10.11     0:02:33   0:01:00   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1554   0         0.002     1023       10.15     0:02:33   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1546   0         0.002     1023       10.09     0:02:33   0:01:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1553   0         0.002     1023       10.13     0:02:33   0:01:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1548   0         0.002     1023       10.11     0:02:33   0:01:00   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1555   0         0.002     1023       10.14     0:02:33   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1547   0         0.002     1023       10.08     0:02:33   0:01:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1554   0         0.002     1023       10.13     0:02:33   0:01:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1549   0         0.002     1023       10.10     0:02:33   0:01:00   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1556   0         0.002     1023       10.13     0:02:33   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1547   0         0.002     1023       10.08     0:02:33   0:01:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1554   0         0.002     1023       10.13     0:02:33   0:01:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1550   0         0.002     1023       10.10     0:02:33   0:01:00   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1557   0         0.002     1023       10.13     0:02:33   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1548   0         0.002     1023       10.07     0:02:33   0:01:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1555   0         0.002     1023       10.12     0:02:33   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1551   0         0.002     1023       10.09     0:02:33   0:01:00   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1558   0         0.002     1023       10.13     0:02:33   0:00:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1549   0         0.002     1023       10.07     0:02:33   0:01:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1556   0         0.002     1023       10.12     0:02:33   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1552   0         0.002     1023       10.09     0:02:33   0:01:00   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1559   0         0.002     1023       10.13     0:02:33   0:00:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1550   0         0.002     1023       10.07     0:02:33   0:01:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1557   0         0.002     1023       10.12     0:02:33   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1553   0         0.002     1023       10.09     0:02:33   0:01:00   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1560   0         0.002     1023       10.12     0:02:34   0:00:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1551   0         0.002     1023       10.07     0:02:34   0:01:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1558   0         0.002     1023       10.11     0:02:34   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1554   0         0.002     1023       10.09     0:02:34   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1560   0         0.002     1023       10.12     0:02:34   0:00:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1552   0         0.002     1023       10.07     0:02:34   0:01:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1559   0         0.002     1023       10.11     0:02:34   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1555   0         0.002     1023       10.09     0:02:34   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1561   0         0.002     1023       10.12     0:02:34   0:00:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1553   0         0.002     1023       10.07     0:02:34   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1560   0         0.002     1023       10.11     0:02:34   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1555   0         0.002     1023       10.09     0:02:34   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1562   0         0.002     1023       10.12     0:02:34   0:00:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1553   0         0.002     1023       10.07     0:02:34   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1560   0         0.002     1023       10.11     0:02:34   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1556   0         0.002     1023       10.08     0:02:34   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1563   0         0.002     1023       10.11     0:02:34   0:00:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1554   0         0.002     1023       10.06     0:02:34   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1561   0         0.002     1023       10.10     0:02:34   0:00:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1557   0         0.002     1023       10.08     0:02:34   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1563   0         0.002     1023       10.11     0:02:34   0:00:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1554   0         0.002     1023       10.06     0:02:34   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1562   0         0.002     1023       10.09     0:02:34   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1557   0         0.002     1023       10.08     0:02:34   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1564   0         0.002     1023       10.10     0:02:34   0:00:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1555   0         0.002     1023       10.04     0:02:34   0:01:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1562   0         0.002     1023       10.09     0:02:34   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1558   0         0.002     1023       10.06     0:02:34   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1564   0         0.002     1023       10.10     0:02:35   0:00:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1555   0         0.002     1023       10.04     0:02:35   0:01:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1563   0         0.002     1023       10.08     0:02:35   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1558   0         0.002     1023       10.06     0:02:35   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1565   0         0.002     1023       10.09     0:02:35   0:00:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1556   0         0.002     1023       10.03     0:02:35   0:01:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1563   0         0.002     1023       10.08     0:02:35   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1559   0         0.002     1023       10.05     0:02:35   0:01:00   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1565   0         0.002     1023       10.09     0:02:35   0:00:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1557   0         0.002     1023       10.03     0:02:35   0:01:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1564   0         0.002     1023       10.08     0:02:35   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1560   0         0.002     1023       10.05     0:02:35   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1566   0         0.002     1023       10.08     0:02:35   0:00:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1558   0         0.002     1023       10.03     0:02:35   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1565   0         0.002     1023       10.08     0:02:35   0:00:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1561   0         0.002     1023       10.05     0:02:35   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1567   0         0.002     1023       10.08     0:02:35   0:00:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1559   0         0.002     1023       10.03     0:02:35   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1566   0         0.002     1023       10.08     0:02:35   0:00:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1562   0         0.002     1023       10.05     0:02:35   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1568   0         0.002     1023       10.08     0:02:35   0:00:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1560   0         0.002     1023       10.03     0:02:35   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1567   0         0.002     1023       10.07     0:02:35   0:00:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1562   0         0.002     1023       10.05     0:02:35   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1569   0         0.002     1023       10.08     0:02:35   0:00:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1561   0         0.002     1023       10.03     0:02:35   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1568   0         0.002     1023       10.07     0:02:35   0:00:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1563   0         0.002     1023       10.05     0:02:35   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1570   0         0.002     1023       10.08     0:02:35   0:00:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1562   0         0.002     1023       10.03     0:02:35   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1569   0         0.002     1023       10.07     0:02:35   0:00:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1564   0         0.002     1023       10.04     0:02:35   0:00:58   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1571   0         0.002     1023       10.08     0:02:35   0:00:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1562   0         0.002     1023       10.03     0:02:35   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1570   0         0.002     1023       10.07     0:02:35   0:00:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1565   0         0.002     1023       10.04     0:02:35   0:00:58   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1571   0         0.002     1023       10.08     0:02:36   0:00:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1563   0         0.002     1023       10.02     0:02:36   0:00:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1570   0         0.002     1023       10.07     0:02:36   0:00:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1565   0         0.002     1023       10.04     0:02:36   0:00:58   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1572   0         0.002     1023       10.07     0:02:36   0:00:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1564   0         0.002     1023       10.02     0:02:36   0:00:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1571   0         0.002     1023       10.06     0:02:36   0:00:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1566   0         0.002     1023       10.03     0:02:36   0:00:58   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1573   0         0.002     1023       10.07     0:02:36   0:00:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1565   0         0.002     1023       10.01     0:02:36   0:00:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1572   0         0.002     1023       10.06     0:02:36   0:00:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1567   0         0.002     1023       10.03     0:02:36   0:00:58   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1574   0         0.002     1023       10.07     0:02:36   0:00:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1566   0         0.002     1023       10.01     0:02:36   0:00:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1573   0         0.002     1023       10.06     0:02:36   0:00:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1569   0         0.002     1023       10.03     0:02:36   0:00:57   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1575   0         0.002     1023       10.07     0:02:36   0:00:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1567   0         0.002     1023       10.02     0:02:36   0:00:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1574   0         0.002     1023       10.06     0:02:36   0:00:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1570   0         0.002     1023       10.03     0:02:36   0:00:57   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1576   0         0.002     1023       10.07     0:02:36   0:00:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1568   0         0.002     1023       10.02     0:02:36   0:00:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1576   0         0.002     1023       10.06     0:02:36   0:00:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1571   0         0.002     1023       10.03     0:02:36   0:00:57   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1577   0         0.002     1023       10.07     0:02:36   0:00:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1570   0         0.002     1023       10.02     0:02:36   0:00:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1577   0         0.002     1023       10.06     0:02:36   0:00:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1572   0         0.002     1023       10.04     0:02:36   0:00:57   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1578   0         0.002     1023       10.07     0:02:36   0:00:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1570   0         0.002     1023       10.02     0:02:36   0:00:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1578   0         0.002     1023       10.06     0:02:36   0:00:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1573   0         0.002     1023       10.04     0:02:36   0:00:57   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1579   0         0.002     1023       10.07     0:02:36   0:00:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1571   0         0.002     1023       10.02     0:02:36   0:00:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1579   0         0.002     1023       10.06     0:02:36   0:00:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1574   0         0.002     1023       10.03     0:02:36   0:00:56   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1580   0         0.002     1023       10.06     0:02:37   0:00:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1572   0         0.002     1023       10.01     0:02:37   0:00:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1579   0         0.002     1023       10.06     0:02:37   0:00:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1575   0         0.002     1023       10.03     0:02:37   0:00:56   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1581   0         0.002     1023       10.06     0:02:37   0:00:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1573   0         0.002     1023       10.01     0:02:37   0:00:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1580   0         0.002     1023       10.05     0:02:37   0:00:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1576   0         0.002     1023       10.03     0:02:37   0:00:56   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1582   0         0.002     1023       10.06     0:02:37   0:00:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1574   0         0.002     1023       10.00     0:02:37   0:00:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1581   0         0.002     1023       10.05     0:02:37   0:00:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1577   0         0.002     1023       10.02     0:02:37   0:00:56   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1582   0         0.002     1023       10.06     0:02:37   0:00:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1574   0         0.002     1023       10.00     0:02:37   0:00:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1581   0         0.002     1023       10.05     0:02:37   0:00:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1577   0         0.002     1023       10.02     0:02:37   0:00:56   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1583   0         0.002     1023       10.05     0:02:37   0:00:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1575   0         0.002     1023       10.00     0:02:37   0:00:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1582   0         0.002     1023       10.05     0:02:37   0:00:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1578   0         0.002     1023       10.01     0:02:37   0:00:56   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1584   0         0.002     1023       10.05     0:02:37   0:00:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1576   0         0.002     1023       9.99      0:02:37   0:00:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1583   0         0.002     1023       10.04     0:02:37   0:00:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1579   0         0.002     1023       10.01     0:02:37   0:00:56   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1585   0         0.002     1023       10.04     0:02:37   0:00:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1577   0         0.002     1023       9.99      0:02:37   0:00:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1584   0         0.002     1023       10.04     0:02:37   0:00:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1580   0         0.002     1023       10.01     0:02:37   0:00:56   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1586   0         0.002     1023       10.04     0:02:37   0:00:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1578   0         0.002     1023       9.99      0:02:37   0:00:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1585   0         0.002     1023       10.04     0:02:37   0:00:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1581   0         0.002     1023       10.01     0:02:37   0:00:56   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1587   0         0.002     1023       10.04     0:02:38   0:00:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1579   0         0.002     1023       9.99      0:02:38   0:00:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1587   0         0.002     1023       10.04     0:02:38   0:00:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1582   0         0.002     1023       10.01     0:02:38   0:00:56   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1588   0         0.002     1023       10.04     0:02:38   0:00:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1580   0         0.002     1023       9.99      0:02:38   0:00:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1588   0         0.002     1023       10.04     0:02:38   0:00:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1583   0         0.002     1023       10.01     0:02:38   0:00:56   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1589   0         0.002     1023       10.04     0:02:38   0:00:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1581   0         0.002     1023       9.99      0:02:38   0:00:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1589   0         0.002     1023       10.04     0:02:38   0:00:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1584   0         0.002     1023       10.01     0:02:38   0:00:55   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1590   0         0.002     1023       10.04     0:02:38   0:00:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1582   0         0.002     1023       9.99      0:02:38   0:00:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1590   0         0.002     1023       10.04     0:02:38   0:00:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1585   0         0.002     1023       10.01     0:02:38   0:00:55   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1591   0         0.002     1023       10.04     0:02:38   0:00:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1583   0         0.002     1023       9.99      0:02:38   0:00:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1591   0         0.002     1023       10.04     0:02:38   0:00:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1586   0         0.002     1023       10.01     0:02:38   0:00:55   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1592   0         0.002     1023       10.03     0:02:38   0:00:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1583   0         0.002     1023       9.99      0:02:38   0:00:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1591   0         0.002     1023       10.04     0:02:38   0:00:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1587   0         0.002     1023       10.00     0:02:38   0:00:55   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1593   0         0.002     1023       10.03     0:02:38   0:00:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1584   0         0.002     1023       9.98      0:02:38   0:00:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1592   0         0.002     1023       10.03     0:02:38   0:00:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1587   0         0.002     1023       10.00     0:02:38   0:00:55   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1593   0         0.002     1023       10.03     0:02:38   0:00:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1585   0         0.002     1023       9.97      0:02:38   0:00:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1592   0         0.002     1023       10.03     0:02:38   0:00:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1588   0         0.002     1023       9.99      0:02:38   0:00:55   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1594   0         0.002     1023       10.02     0:02:39   0:00:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1586   0         0.002     1023       9.97      0:02:39   0:00:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1593   0         0.002     1023       10.02     0:02:39   0:00:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1589   0         0.002     1023       9.99      0:02:39   0:00:55   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1594   0         0.002     1023       10.02     0:02:39   0:00:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1587   0         0.002     1023       9.97      0:02:39   0:00:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1594   0         0.002     1023       10.02     0:02:39   0:00:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1590   0         0.002     1023       9.99      0:02:39   0:00:54   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1595   0         0.002     1023       10.02     0:02:39   0:00:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1588   0         0.002     1023       9.97      0:02:39   0:00:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1595   0         0.002     1023       10.02     0:02:39   0:00:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1591   0         0.002     1023       9.99      0:02:39   0:00:54   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1597   0         0.002     1023       10.02     0:02:39   0:00:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1589   0         0.002     1023       9.97      0:02:39   0:00:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1596   0         0.002     1023       10.02     0:02:39   0:00:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1592   0         0.002     1023       9.99      0:02:39   0:00:54   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1598   0         0.002     1023       10.02     0:02:39   0:00:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1590   0         0.002     1023       9.97      0:02:39   0:00:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1597   0         0.002     1023       10.02     0:02:39   0:00:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1593   0         0.002     1023       9.99      0:02:39   0:00:54   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1599   0         0.002     1023       10.02     0:02:39   0:00:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1591   0         0.002     1023       9.97      0:02:39   0:00:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1598   0         0.002     1023       10.01     0:02:39   0:00:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1594   0         0.002     1023       9.98      0:02:39   0:00:54   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1600   0         0.002     1023       10.01     0:02:39   0:00:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1591   0         0.002     1023       9.97      0:02:39   0:00:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1599   0         0.002     1023       10.01     0:02:39   0:00:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1595   0         0.002     1023       9.98      0:02:39   0:00:53   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1601   0         0.002     1023       10.01     0:02:39   0:00:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1593   0         0.002     1023       9.96      0:02:39   0:00:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1600   0         0.002     1023       10.01     0:02:39   0:00:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1596   0         0.002     1023       9.98      0:02:39   0:00:53   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1601   0         0.002     1023       10.01     0:02:40   0:00:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1593   0         0.002     1023       9.96      0:02:40   0:00:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1601   0         0.002     1023       10.01     0:02:40   0:00:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1596   0         0.002     1023       9.98      0:02:40   0:00:53   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1602   0         0.002     1023       10.01     0:02:40   0:00:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1594   0         0.002     1023       9.96      0:02:40   0:00:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1602   0         0.002     1023       10.01     0:02:40   0:00:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1597   0         0.002     1023       9.98      0:02:40   0:00:53   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1603   0         0.002     1023       10.01     0:02:40   0:00:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1595   0         0.002     1023       9.96      0:02:40   0:00:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1603   0         0.002     1023       10.01     0:02:40   0:00:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1599   0         0.002     1023       9.98      0:02:40   0:00:53   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1604   0         0.002     1023       10.01     0:02:40   0:00:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1596   0         0.002     1023       9.96      0:02:40   0:00:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1604   0         0.002     1023       10.01     0:02:40   0:00:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1600   0         0.002     1023       9.98      0:02:40   0:00:52   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1605   0         0.002     1023       10.01     0:02:40   0:00:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1597   0         0.002     1023       9.96      0:02:40   0:00:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1605   0         0.002     1023       10.01     0:02:40   0:00:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1601   0         0.002     1023       9.98      0:02:40   0:00:52   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1606   0         0.002     1023       10.01     0:02:40   0:00:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1598   0         0.002     1023       9.96      0:02:40   0:00:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1606   0         0.002     1023       10.01     0:02:40   0:00:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1602   0         0.002     1023       9.98      0:02:40   0:00:52   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1607   0         0.002     1023       10.01     0:02:40   0:00:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1599   0         0.002     1023       9.96      0:02:40   0:00:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1607   0         0.002     1023       10.01     0:02:40   0:00:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1603   0         0.002     1023       9.98      0:02:40   0:00:52   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1608   0         0.002     1023       10.01     0:02:40   0:00:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1600   0         0.002     1023       9.96      0:02:40   0:00:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1608   0         0.002     1023       10.00     0:02:40   0:00:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1604   0         0.002     1023       9.98      0:02:40   0:00:52   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1609   0         0.002     1023       10.01     0:02:40   0:00:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1601   0         0.002     1023       9.95      0:02:40   0:00:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1609   0         0.002     1023       10.00     0:02:40   0:00:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1605   0         0.002     1023       9.97      0:02:40   0:00:51   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1610   0         0.002     1023       10.00     0:02:41   0:00:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1602   0         0.002     1023       9.95      0:02:41   0:00:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1610   0         0.002     1023       10.00     0:02:41   0:00:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1605   0         0.002     1023       9.97      0:02:41   0:00:51   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1611   0         0.002     1023       10.00     0:02:41   0:00:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1602   0         0.002     1023       9.95      0:02:41   0:00:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1610   0         0.002     1023       10.00     0:02:41   0:00:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1606   0         0.002     1023       9.97      0:02:41   0:00:51   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1611   0         0.002     1023       10.00     0:02:41   0:00:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1603   0         0.002     1023       9.95      0:02:41   0:00:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1611   0         0.002     1023       10.00     0:02:41   0:00:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1606   0         0.002     1023       9.97      0:02:41   0:00:51   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1612   0         0.002     1023       9.99      0:02:41   0:00:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1604   0         0.002     1023       9.94      0:02:41   0:00:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1612   0         0.002     1023       9.99      0:02:41   0:00:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1607   0         0.002     1023       9.96      0:02:41   0:00:51   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1612   0         0.002     1023       9.99      0:02:41   0:00:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1605   0         0.002     1023       9.94      0:02:41   0:00:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1612   0         0.002     1023       9.99      0:02:41   0:00:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1608   0         0.002     1023       9.96      0:02:41   0:00:51   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1613   0         0.002     1023       9.99      0:02:41   0:00:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1606   0         0.002     1023       9.94      0:02:41   0:00:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1613   0         0.002     1023       9.99      0:02:41   0:00:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1609   0         0.002     1023       9.96      0:02:41   0:00:51   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1615   0         0.002     1023       9.99      0:02:41   0:00:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1607   0         0.002     1023       9.94      0:02:41   0:00:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1615   0         0.002     1023       9.99      0:02:41   0:00:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1610   0         0.002     1023       9.96      0:02:41   0:00:51   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1616   0         0.002     1023       9.99      0:02:41   0:00:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1608   0         0.002     1023       9.94      0:02:41   0:00:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1616   0         0.002     1023       9.99      0:02:41   0:00:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1611   0         0.002     1023       9.96      0:02:41   0:00:50   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1617   0         0.002     1023       9.99      0:02:41   0:00:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1610   0         0.002     1023       9.94      0:02:41   0:00:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1617   0         0.002     1023       9.99      0:02:41   0:00:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1613   0         0.002     1023       9.96      0:02:41   0:00:50   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1618   0         0.002     1023       9.99      0:02:42   0:00:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1611   0         0.002     1023       9.94      0:02:42   0:00:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1618   0         0.002     1023       9.99      0:02:42   0:00:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1614   0         0.002     1023       9.96      0:02:42   0:00:50   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1619   0         0.002     1023       9.99      0:02:42   0:00:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1612   0         0.002     1023       9.94      0:02:42   0:00:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1619   0         0.002     1023       9.99      0:02:42   0:00:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1615   0         0.002     1023       9.96      0:02:42   0:00:49   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1620   0         0.002     1023       9.99      0:02:42   0:00:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1613   0         0.002     1023       9.94      0:02:42   0:00:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1620   0         0.002     1023       9.99      0:02:42   0:00:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1616   0         0.002     1023       9.96      0:02:42   0:00:49   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1622   0         0.002     1023       9.99      0:02:42   0:00:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1614   0         0.002     1023       9.94      0:02:42   0:00:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1622   0         0.002     1023       9.99      0:02:42   0:00:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1617   0         0.002     1023       9.96      0:02:42   0:00:49   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1623   0         0.002     1023       9.99      0:02:42   0:00:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1615   0         0.002     1023       9.94      0:02:42   0:00:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1623   0         0.002     1023       9.99      0:02:42   0:00:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1618   0         0.002     1023       9.96      0:02:42   0:00:49   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1624   0         0.002     1023       9.98      0:02:42   0:00:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1616   0         0.002     1023       9.94      0:02:42   0:00:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1624   0         0.002     1023       9.98      0:02:42   0:00:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1620   0         0.002     1023       9.96      0:02:42   0:00:48   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1625   0         0.002     1023       9.98      0:02:42   0:00:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1617   0         0.002     1023       9.94      0:02:42   0:00:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1624   0         0.002     1023       9.98      0:02:42   0:00:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1620   0         0.002     1023       9.96      0:02:42   0:00:48   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1626   0         0.002     1023       9.98      0:02:42   0:00:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1618   0         0.002     1023       9.93      0:02:42   0:00:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1626   0         0.002     1023       9.98      0:02:42   0:00:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1621   0         0.002     1023       9.95      0:02:42   0:00:48   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1627   0         0.002     1023       9.98      0:02:43   0:00:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1619   0         0.002     1023       9.93      0:02:43   0:00:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1627   0         0.002     1023       9.98      0:02:43   0:00:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1623   0         0.002     1023       9.95      0:02:43   0:00:48   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1628   0         0.002     1023       9.98      0:02:43   0:00:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1621   0         0.002     1023       9.93      0:02:43   0:00:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1628   0         0.002     1023       9.98      0:02:43   0:00:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1624   0         0.002     1023       9.95      0:02:43   0:00:48   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1630   0         0.002     1023       9.98      0:02:43   0:00:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1622   0         0.002     1023       9.94      0:02:43   0:00:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1629   0         0.002     1023       9.98      0:02:43   0:00:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1626   0         0.002     1023       9.96      0:02:43   0:00:47   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1631   0         0.002     1023       9.98      0:02:43   0:00:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1623   0         0.002     1023       9.94      0:02:43   0:00:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1631   0         0.002     1023       9.98      0:02:43   0:00:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1627   0         0.002     1023       9.96      0:02:43   0:00:47   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1632   0         0.002     1023       9.98      0:02:43   0:00:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1624   0         0.002     1023       9.94      0:02:43   0:00:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1632   0         0.002     1023       9.98      0:02:43   0:00:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1628   0         0.002     1023       9.96      0:02:43   0:00:47   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1633   0         0.002     1023       9.98      0:02:43   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1626   0         0.002     1023       9.94      0:02:43   0:00:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1633   0         0.002     1023       9.98      0:02:43   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1629   0         0.002     1023       9.96      0:02:43   0:00:47   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1635   0         0.002     1023       9.99      0:02:43   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1627   0         0.002     1023       9.94      0:02:43   0:00:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1634   0         0.002     1023       9.98      0:02:43   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1630   0         0.002     1023       9.96      0:02:43   0:00:47   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1636   0         0.002     1023       9.99      0:02:43   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1628   0         0.002     1023       9.94      0:02:43   0:00:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1635   0         0.002     1023       9.98      0:02:43   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1631   0         0.002     1023       9.96      0:02:43   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1637   0         0.002     1023       9.98      0:02:44   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1629   0         0.002     1023       9.93      0:02:44   0:00:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1636   0         0.002     1023       9.98      0:02:44   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1632   0         0.002     1023       9.95      0:02:44   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1638   0         0.002     1023       9.98      0:02:44   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1630   0         0.002     1023       9.93      0:02:44   0:00:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1638   0         0.002     1023       9.98      0:02:44   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1634   0         0.002     1023       9.95      0:02:44   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1639   0         0.002     1023       9.98      0:02:44   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1631   0         0.002     1023       9.93      0:02:44   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1638   0         0.002     1023       9.98      0:02:44   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1634   0         0.002     1023       9.95      0:02:44   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1640   0         0.002     1023       9.98      0:02:44   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1632   0         0.002     1023       9.93      0:02:44   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1639   0         0.002     1023       9.97      0:02:44   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1635   0         0.002     1023       9.95      0:02:44   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1641   0         0.002     1023       9.97      0:02:44   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1633   0         0.002     1023       9.93      0:02:44   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1640   0         0.002     1023       9.97      0:02:44   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1636   0         0.002     1023       9.95      0:02:44   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1641   0         0.002     1023       9.97      0:02:44   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1634   0         0.002     1023       9.93      0:02:44   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1641   0         0.002     1023       9.97      0:02:44   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1637   0         0.002     1023       9.95      0:02:44   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1642   0         0.002     1023       9.97      0:02:44   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1635   0         0.002     1023       9.93      0:02:44   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1642   0         0.002     1023       9.97      0:02:44   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1638   0         0.002     1023       9.95      0:02:44   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1644   0         0.002     1023       9.97      0:02:44   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1636   0         0.002     1023       9.93      0:02:44   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1643   0         0.002     1023       9.97      0:02:44   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1639   0         0.002     1023       9.95      0:02:44   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1645   0         0.002     1023       9.97      0:02:44   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1637   0         0.002     1023       9.93      0:02:44   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1645   0         0.002     1023       9.97      0:02:44   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1640   0         0.002     1023       9.95      0:02:44   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1645   0         0.002     1023       9.97      0:02:45   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1638   0         0.002     1023       9.93      0:02:45   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1645   0         0.002     1023       9.97      0:02:45   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1641   0         0.002     1023       9.94      0:02:45   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1646   0         0.002     1023       9.97      0:02:45   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1639   0         0.002     1023       9.92      0:02:45   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1646   0         0.002     1023       9.97      0:02:45   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1642   0         0.002     1023       9.94      0:02:45   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1647   0         0.002     1023       9.96      0:02:45   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1639   0         0.002     1023       9.92      0:02:45   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1647   0         0.002     1023       9.96      0:02:45   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1643   0         0.002     1023       9.93      0:02:45   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1648   0         0.002     1023       9.96      0:02:45   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1641   0         0.002     1023       9.91      0:02:45   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1648   0         0.002     1023       9.96      0:02:45   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1644   0         0.002     1023       9.93      0:02:45   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1648   0         0.002     1023       9.96      0:02:45   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1641   0         0.002     1023       9.91      0:02:45   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1648   0         0.002     1023       9.96      0:02:45   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1644   0         0.002     1023       9.93      0:02:45   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1649   0         0.002     1023       9.95      0:02:45   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1642   0         0.002     1023       9.90      0:02:45   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1649   0         0.002     1023       9.95      0:02:45   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1645   0         0.002     1023       9.93      0:02:45   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1651   0         0.002     1023       9.95      0:02:45   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1643   0         0.002     1023       9.91      0:02:45   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1650   0         0.002     1023       9.95      0:02:45   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1646   0         0.002     1023       9.93      0:02:45   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1652   0         0.002     1023       9.95      0:02:46   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1644   0         0.002     1023       9.91      0:02:46   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1651   0         0.002     1023       9.95      0:02:46   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1647   0         0.002     1023       9.93      0:02:46   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1653   0         0.002     1023       9.95      0:02:46   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1645   0         0.002     1023       9.90      0:02:46   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1652   0         0.002     1023       9.95      0:02:46   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1648   0         0.002     1023       9.93      0:02:46   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1654   0         0.002     1023       9.95      0:02:46   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1646   0         0.002     1023       9.90      0:02:46   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1653   0         0.002     1023       9.95      0:02:46   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1649   0         0.002     1023       9.92      0:02:46   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1655   0         0.002     1023       9.95      0:02:46   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1647   0         0.002     1023       9.90      0:02:46   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1654   0         0.002     1023       9.95      0:02:46   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1650   0         0.002     1023       9.92      0:02:46   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1656   0         0.002     1023       9.95      0:02:46   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1648   0         0.002     1023       9.90      0:02:46   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1655   0         0.002     1023       9.94      0:02:46   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1651   0         0.002     1023       9.92      0:02:46   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1656   0         0.002     1023       9.95      0:02:46   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1649   0         0.002     1023       9.90      0:02:46   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1656   0         0.002     1023       9.94      0:02:46   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1652   0         0.002     1023       9.92      0:02:46   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1657   0         0.002     1023       9.95      0:02:46   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1649   0         0.002     1023       9.90      0:02:46   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1656   0         0.002     1023       9.94      0:02:46   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1652   0         0.002     1023       9.92      0:02:46   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1658   0         0.002     1023       9.94      0:02:46   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1650   0         0.002     1023       9.89      0:02:46   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1657   0         0.002     1023       9.93      0:02:46   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1653   0         0.002     1023       9.91      0:02:46   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1658   0         0.002     1023       9.94      0:02:47   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1651   0         0.002     1023       9.89      0:02:47   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1658   0         0.002     1023       9.93      0:02:47   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1654   0         0.002     1023       9.91      0:02:47   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1659   0         0.002     1023       9.93      0:02:47   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1652   0         0.002     1023       9.88      0:02:47   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1659   0         0.002     1023       9.92      0:02:47   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1655   0         0.002     1023       9.90      0:02:47   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1660   0         0.002     1023       9.93      0:02:47   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1653   0         0.002     1023       9.88      0:02:47   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1660   0         0.002     1023       9.92      0:02:47   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1656   0         0.002     1023       9.90      0:02:47   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1661   0         0.002     1023       9.93      0:02:47   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1654   0         0.002     1023       9.88      0:02:47   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1661   0         0.002     1023       9.92      0:02:47   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1657   0         0.002     1023       9.90      0:02:47   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1662   0         0.002     1023       9.93      0:02:47   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1655   0         0.002     1023       9.88      0:02:47   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1662   0         0.002     1023       9.92      0:02:47   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1658   0         0.002     1023       9.90      0:02:47   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1663   0         0.002     1023       9.92      0:02:47   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1656   0         0.002     1023       9.88      0:02:47   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1663   0         0.002     1023       9.92      0:02:47   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1659   0         0.002     1023       9.90      0:02:47   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1664   0         0.002     1023       9.92      0:02:47   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1657   0         0.002     1023       9.88      0:02:47   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1664   0         0.002     1023       9.92      0:02:47   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1660   0         0.002     1023       9.90      0:02:47   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1665   0         0.002     1023       9.92      0:02:47   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1658   0         0.002     1023       9.88      0:02:47   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1665   0         0.002     1023       9.92      0:02:47   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1661   0         0.002     1023       9.90      0:02:47   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1666   0         0.002     1023       9.92      0:02:48   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1658   0         0.002     1023       9.88      0:02:48   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1665   0         0.002     1023       9.92      0:02:47   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1661   0         0.002     1023       9.90      0:02:47   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1666   0         0.002     1023       9.92      0:02:48   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1659   0         0.002     1023       9.87      0:02:48   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1666   0         0.002     1023       9.92      0:02:48   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1662   0         0.002     1023       9.89      0:02:48   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1667   0         0.002     1023       9.91      0:02:48   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1660   0         0.002     1023       9.87      0:02:48   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1667   0         0.002     1023       9.91      0:02:48   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1663   0         0.002     1023       9.88      0:02:48   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1668   0         0.002     1023       9.91      0:02:48   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1661   0         0.002     1023       9.86      0:02:48   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1668   0         0.002     1023       9.91      0:02:48   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1664   0         0.002     1023       9.88      0:02:48   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1669   0         0.002     1023       9.90      0:02:48   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1662   0         0.002     1023       9.86      0:02:48   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1669   0         0.002     1023       9.90      0:02:48   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1664   0         0.002     1023       9.88      0:02:48   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1670   0         0.002     1023       9.90      0:02:48   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1663   0         0.002     1023       9.85      0:02:48   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1669   0         0.002     1023       9.90      0:02:48   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1665   0         0.002     1023       9.87      0:02:48   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1671   0         0.002     1023       9.90      0:02:48   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1664   0         0.002     1023       9.85      0:02:48   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1670   0         0.002     1023       9.89      0:02:48   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1666   0         0.002     1023       9.87      0:02:48   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1672   0         0.002     1023       9.90      0:02:49   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1665   0         0.002     1023       9.85      0:02:49   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1671   0         0.002     1023       9.89      0:02:49   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1667   0         0.002     1023       9.87      0:02:48   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1673   0         0.002     1023       9.90      0:02:49   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1666   0         0.002     1023       9.85      0:02:49   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1672   0         0.002     1023       9.89      0:02:49   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1668   0         0.002     1023       9.87      0:02:49   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1674   0         0.002     1023       9.89      0:02:49   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1667   0         0.002     1023       9.85      0:02:49   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1673   0         0.002     1023       9.89      0:02:49   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1669   0         0.002     1023       9.87      0:02:49   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1675   0         0.002     1023       9.89      0:02:49   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1667   0         0.002     1023       9.85      0:02:49   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1674   0         0.002     1023       9.89      0:02:49   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1670   0         0.002     1023       9.87      0:02:49   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1675   0         0.002     1023       9.89      0:02:49   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1668   0         0.002     1023       9.85      0:02:49   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1675   0         0.002     1023       9.89      0:02:49   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1671   0         0.002     1023       9.86      0:02:49   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1676   0         0.002     1023       9.89      0:02:49   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1669   0         0.002     1023       9.85      0:02:49   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1675   0         0.002     1023       9.89      0:02:49   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1671   0         0.002     1023       9.86      0:02:49   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1676   0         0.002     1023       9.89      0:02:49   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1669   0         0.002     1023       9.85      0:02:49   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1676   0         0.002     1023       9.88      0:02:49   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1672   0         0.002     1023       9.86      0:02:49   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1677   0         0.002     1023       9.88      0:02:49   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1670   0         0.002     1023       9.84      0:02:49   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1677   0         0.002     1023       9.88      0:02:49   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1673   0         0.002     1023       9.85      0:02:49   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1678   0         0.002     1023       9.88      0:02:50   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1671   0         0.002     1023       9.84      0:02:50   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1678   0         0.002     1023       9.88      0:02:49   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1673   0         0.002     1023       9.85      0:02:49   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1679   0         0.002     1023       9.87      0:02:50   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1672   0         0.002     1023       9.83      0:02:50   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1678   0         0.002     1023       9.88      0:02:50   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1674   0         0.002     1023       9.84      0:02:50   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1680   0         0.002     1023       9.87      0:02:50   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1673   0         0.002     1023       9.83      0:02:50   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1680   0         0.002     1023       9.87      0:02:50   0:00:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1675   0         0.002     1023       9.84      0:02:50   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1681   0         0.002     1023       9.87      0:02:50   0:00:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1674   0         0.002     1023       9.83      0:02:50   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1681   0         0.002     1023       9.87      0:02:50   0:00:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1676   0         0.002     1023       9.84      0:02:50   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1682   0         0.002     1023       9.87      0:02:50   0:00:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1675   0         0.002     1023       9.83      0:02:50   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1682   0         0.002     1023       9.87      0:02:50   0:00:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1678   0         0.002     1023       9.85      0:02:50   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1684   0         0.002     1023       9.87      0:02:50   0:00:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1676   0         0.002     1023       9.83      0:02:50   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1683   0         0.002     1023       9.87      0:02:50   0:00:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1679   0         0.002     1023       9.85      0:02:50   0:00:41   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1685   0         0.002     1023       9.87      0:02:50   0:00:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1678   0         0.002     1023       9.83      0:02:50   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1684   0         0.002     1023       9.87      0:02:50   0:00:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1680   0         0.002     1023       9.85      0:02:50   0:00:41   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1686   0         0.002     1023       9.87      0:02:50   0:00:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1679   0         0.002     1023       9.83      0:02:50   0:00:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1686   0         0.002     1023       9.87      0:02:50   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1681   0         0.002     1023       9.85      0:02:50   0:00:41   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1687   0         0.002     1023       9.87      0:02:50   0:00:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1680   0         0.002     1023       9.83      0:02:50   0:00:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1687   0         0.002     1023       9.87      0:02:50   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1682   0         0.002     1023       9.85      0:02:50   0:00:41   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1687   0         0.002     1023       9.87      0:02:51   0:00:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1680   0         0.002     1023       9.83      0:02:51   0:00:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1687   0         0.002     1023       9.87      0:02:51   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1683   0         0.002     1023       9.84      0:02:51   0:00:41   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1688   0         0.002     1023       9.86      0:02:51   0:00:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1681   0         0.002     1023       9.82      0:02:51   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1688   0         0.002     1023       9.86      0:02:51   0:00:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1683   0         0.002     1023       9.84      0:02:51   0:00:41   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1689   0         0.002     1023       9.86      0:02:51   0:00:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1682   0         0.002     1023       9.82      0:02:51   0:00:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1689   0         0.002     1023       9.86      0:02:51   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1684   0         0.002     1023       9.83      0:02:51   0:00:41   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1690   0         0.002     1023       9.86      0:02:51   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1683   0         0.002     1023       9.82      0:02:51   0:00:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1689   0         0.002     1023       9.86      0:02:51   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1685   0         0.002     1023       9.83      0:02:51   0:00:41   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1691   0         0.002     1023       9.85      0:02:51   0:00:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1684   0         0.002     1023       9.81      0:02:51   0:00:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1690   0         0.002     1023       9.85      0:02:51   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1686   0         0.002     1023       9.83      0:02:51   0:00:41   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1692   0         0.002     1023       9.85      0:02:51   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1685   0         0.002     1023       9.81      0:02:51   0:00:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1692   0         0.002     1023       9.85      0:02:51   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1687   0         0.002     1023       9.83      0:02:51   0:00:41   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1693   0         0.002     511        9.86      0:02:51   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1686   0         0.002     1023       9.81      0:02:51   0:00:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1693   0         0.002     1023       9.85      0:02:51   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1688   0         0.002     1023       9.83      0:02:51   0:00:41   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1695   0         0.002     1023       9.86      0:02:51   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1687   0         0.002     1023       9.81      0:02:51   0:00:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1694   0         0.002     1023       9.85      0:02:51   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1689   0         0.002     1023       9.83      0:02:51   0:00:41   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1696   0         0.002     1023       9.86      0:02:52   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1689   0         0.002     1023       9.82      0:02:52   0:00:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1696   0         0.002     1023       9.86      0:02:52   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1690   0         0.002     1023       9.83      0:02:52   0:00:41   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1697   0         0.002     1023       9.86      0:02:52   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1690   0         0.002     1023       9.82      0:02:52   0:00:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1697   0         0.002     1023       9.86      0:02:52   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1692   0         0.002     1023       9.83      0:02:52   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1698   0         0.002     1023       9.86      0:02:52   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1691   0         0.002     1023       9.82      0:02:52   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1698   0         0.002     1023       9.86      0:02:52   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1693   0         0.002     1023       9.83      0:02:52   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1699   0         0.002     1023       9.86      0:02:52   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1692   0         0.002     1023       9.82      0:02:52   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1699   0         0.002     1023       9.86      0:02:52   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1694   0         0.002     1023       9.83      0:02:52   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1700   0         0.002     1023       9.86      0:02:52   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1693   0         0.002     1023       9.81      0:02:52   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1700   0         0.002     1023       9.86      0:02:52   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1695   0         0.002     1023       9.83      0:02:52   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1701   0         0.002     1023       9.85      0:02:52   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1693   0         0.002     1023       9.81      0:02:52   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1701   0         0.002     1023       9.85      0:02:52   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1695   0         0.002     1023       9.83      0:02:52   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1702   0         0.002     1023       9.85      0:02:52   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1694   0         0.002     1023       9.81      0:02:52   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1701   0         0.002     1023       9.85      0:02:52   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1696   0         0.002     1023       9.82      0:02:52   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1703   0         0.002     1023       9.85      0:02:52   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1695   0         0.002     1023       9.81      0:02:52   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1702   0         0.002     1023       9.85      0:02:52   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1697   0         0.002     1023       9.82      0:02:52   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1704   0         0.002     1023       9.84      0:02:53   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1696   0         0.002     1023       9.80      0:02:53   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1703   0         0.002     1023       9.84      0:02:53   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1698   0         0.002     1023       9.81      0:02:53   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1705   0         0.002     1023       9.84      0:02:53   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1697   0         0.002     1023       9.80      0:02:53   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1704   0         0.002     1023       9.84      0:02:53   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1699   0         0.002     1023       9.81      0:02:53   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1705   0         0.002     1023       9.84      0:02:53   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1698   0         0.002     1023       9.80      0:02:53   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1705   0         0.002     1023       9.84      0:02:53   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1700   0         0.002     1023       9.81      0:02:53   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1706   0         0.002     1023       9.84      0:02:53   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1699   0         0.002     1023       9.79      0:02:53   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1706   0         0.002     1023       9.84      0:02:53   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1701   0         0.002     1023       9.81      0:02:53   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1707   0         0.002     1023       9.84      0:02:53   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1700   0         0.002     1023       9.79      0:02:53   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1707   0         0.002     1023       9.84      0:02:53   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1702   0         0.002     1023       9.81      0:02:53   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1708   0         0.002     1023       9.84      0:02:53   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1701   0         0.002     1023       9.79      0:02:53   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1708   0         0.002     1023       9.83      0:02:53   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1703   0         0.002     1023       9.81      0:02:53   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1709   0         0.002     1023       9.84      0:02:53   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1702   0         0.002     1023       9.79      0:02:53   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1709   0         0.002     1023       9.83      0:02:53   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1704   0         0.002     1023       9.81      0:02:53   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1710   0         0.002     1023       9.84      0:02:53   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1702   0         0.002     1023       9.79      0:02:53   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1710   0         0.002     1023       9.83      0:02:53   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1705   0         0.002     1023       9.81      0:02:53   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1711   0         0.002     1023       9.83      0:02:54   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1703   0         0.002     1023       9.79      0:02:54   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1711   0         0.002     1023       9.83      0:02:54   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1705   0         0.002     1023       9.81      0:02:54   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1712   0         0.002     1023       9.83      0:02:54   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1704   0         0.002     1023       9.78      0:02:54   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1712   0         0.002     1023       9.83      0:02:54   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1707   0         0.002     1023       9.80      0:02:54   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1713   0         0.002     1023       9.83      0:02:54   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1705   0         0.002     1023       9.78      0:02:54   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1713   0         0.002     1023       9.83      0:02:54   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1708   0         0.002     1023       9.80      0:02:54   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1713   0         0.002     1023       9.83      0:02:54   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1706   0         0.002     1023       9.78      0:02:54   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1713   0         0.002     1023       9.83      0:02:54   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1708   0         0.002     1023       9.80      0:02:54   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1714   0         0.002     1023       9.82      0:02:54   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1707   0         0.002     1023       9.78      0:02:54   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1714   0         0.002     1023       9.82      0:02:54   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1709   0         0.002     1023       9.79      0:02:54   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1715   0         0.002     1023       9.82      0:02:54   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1708   0         0.002     1023       9.77      0:02:54   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1715   0         0.002     1023       9.82      0:02:54   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1710   0         0.002     1023       9.79      0:02:54   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1716   0         0.002     1023       9.82      0:02:54   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1709   0         0.002     1023       9.77      0:02:54   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1716   0         0.002     1023       9.82      0:02:54   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1711   0         0.002     1023       9.79      0:02:54   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1717   0         0.002     1023       9.82      0:02:54   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1710   0         0.002     1023       9.77      0:02:54   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1717   0         0.002     1023       9.82      0:02:54   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1712   0         0.002     1023       9.79      0:02:54   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1719   0         0.002     1023       9.82      0:02:55   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1711   0         0.002     1023       9.77      0:02:55   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1718   0         0.002     1023       9.82      0:02:55   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1713   0         0.002     1023       9.79      0:02:55   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1719   0         0.002     1023       9.82      0:02:55   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1712   0         0.002     1023       9.77      0:02:55   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1719   0         0.002     1023       9.82      0:02:55   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1714   0         0.002     1023       9.79      0:02:55   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1720   0         0.002     1023       9.82      0:02:55   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1713   0         0.002     1023       9.77      0:02:55   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1720   0         0.002     1023       9.82      0:02:55   0:00:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1715   0         0.002     1023       9.79      0:02:55   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1721   0         0.002     1023       9.82      0:02:55   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1714   0         0.002     1023       9.77      0:02:55   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1721   0         0.002     1023       9.81      0:02:55   0:00:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1716   0         0.002     1023       9.79      0:02:55   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1722   0         0.002     1023       9.81      0:02:55   0:00:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1714   0         0.002     1023       9.77      0:02:55   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1722   0         0.002     1023       9.81      0:02:55   0:00:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1717   0         0.002     1023       9.78      0:02:55   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1723   0         0.002     1023       9.80      0:02:55   0:00:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1715   0         0.002     1023       9.76      0:02:55   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1722   0         0.002     1023       9.81      0:02:55   0:00:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1717   0         0.002     1023       9.78      0:02:55   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1723   0         0.002     1023       9.80      0:02:55   0:00:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1716   0         0.002     1023       9.76      0:02:55   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1723   0         0.002     1023       9.80      0:02:55   0:00:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1718   0         0.002     1023       9.77      0:02:55   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1724   0         0.002     1023       9.80      0:02:55   0:00:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1717   0         0.002     1023       9.76      0:02:55   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1724   0         0.002     1023       9.80      0:02:55   0:00:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1719   0         0.002     1023       9.77      0:02:55   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1725   0         0.002     1023       9.80      0:02:56   0:00:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1718   0         0.002     1023       9.76      0:02:56   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1725   0         0.002     1023       9.80      0:02:56   0:00:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1720   0         0.002     1023       9.77      0:02:56   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1726   0         0.002     1023       9.80      0:02:56   0:00:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1719   0         0.002     1023       9.76      0:02:56   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1726   0         0.002     1023       9.80      0:02:56   0:00:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1721   0         0.002     1023       9.77      0:02:56   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1727   0         0.002     1023       9.80      0:02:56   0:00:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1720   0         0.002     1023       9.76      0:02:56   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1727   0         0.002     1023       9.80      0:02:56   0:00:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1722   0         0.002     1023       9.77      0:02:56   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1728   0         0.002     1023       9.79      0:02:56   0:00:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1721   0         0.002     1023       9.75      0:02:56   0:00:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1728   0         0.002     1023       9.79      0:02:56   0:00:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1723   0         0.002     1023       9.77      0:02:56   0:00:37   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1729   0         0.002     1023       9.79      0:02:56   0:00:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1722   0         0.002     1023       9.75      0:02:56   0:00:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1729   0         0.002     1023       9.79      0:02:56   0:00:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1725   0         0.002     1023       9.77      0:02:56   0:00:37   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1730   0         0.002     1023       9.79      0:02:56   0:00:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1723   0         0.002     1023       9.75      0:02:56   0:00:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1730   0         0.002     1023       9.79      0:02:56   0:00:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1725   0         0.002     1023       9.77      0:02:56   0:00:37   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1731   0         0.002     1023       9.79      0:02:56   0:00:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1724   0         0.002     1023       9.75      0:02:56   0:00:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1731   0         0.002     1023       9.79      0:02:56   0:00:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1726   0         0.002     1023       9.76      0:02:56   0:00:37   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1733   0         0.002     1023       9.79      0:02:56   0:00:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1725   0         0.002     1023       9.75      0:02:56   0:00:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1732   0         0.002     1023       9.79      0:02:56   0:00:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1728   0         0.002     1023       9.77      0:02:56   0:00:36   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1734   0         0.002     1023       9.79      0:02:57   0:00:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1726   0         0.002     1023       9.75      0:02:57   0:00:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1733   0         0.002     1023       9.79      0:02:57   0:00:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1729   0         0.002     1023       9.77      0:02:57   0:00:36   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1736   0         0.002     1023       9.80      0:02:57   0:00:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1727   0         0.002     1023       9.75      0:02:57   0:00:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1735   0         0.002     1023       9.79      0:02:57   0:00:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1730   0         0.002     1023       9.77      0:02:57   0:00:36   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1737   0         0.002     1023       9.80      0:02:57   0:00:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1729   0         0.002     1023       9.75      0:02:57   0:00:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1736   0         0.002     1023       9.79      0:02:57   0:00:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1731   0         0.002     1023       9.77      0:02:57   0:00:36   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1738   0         0.002     1023       9.80      0:02:57   0:00:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1730   0         0.002     1023       9.75      0:02:57   0:00:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1737   0         0.002     1023       9.79      0:02:57   0:00:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1733   0         0.002     1023       9.77      0:02:57   0:00:36   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1739   0         0.002     1023       9.80      0:02:57   0:00:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1731   0         0.002     1023       9.75      0:02:57   0:00:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1738   0         0.002     1023       9.79      0:02:57   0:00:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1734   0         0.002     1023       9.77      0:02:57   0:00:35   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1741   0         0.002     1023       9.80      0:02:57   0:00:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1732   0         0.002     1023       9.75      0:02:57   0:00:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1740   0         0.002     1023       9.80      0:02:57   0:00:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1735   0         0.002     1023       9.77      0:02:57   0:00:35   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1742   0         0.002     1023       9.80      0:02:57   0:00:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1733   0         0.002     1023       9.75      0:02:57   0:00:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1740   0         0.002     1023       9.80      0:02:57   0:00:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1736   0         0.002     1023       9.77      0:02:57   0:00:35   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1742   0         0.002     1023       9.80      0:02:57   0:00:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1734   0         0.002     1023       9.75      0:02:57   0:00:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1741   0         0.002     1023       9.79      0:02:57   0:00:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1736   0         0.002     1023       9.77      0:02:57   0:00:35   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1743   0         0.002     1023       9.80      0:02:58   0:00:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1735   0         0.002     1023       9.75      0:02:58   0:00:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1742   0         0.002     1023       9.79      0:02:58   0:00:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1738   0         0.002     1023       9.76      0:02:58   0:00:35   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1745   0         0.002     1023       9.80      0:02:58   0:00:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1736   0         0.002     1023       9.75      0:02:58   0:00:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1744   0         0.002     1023       9.79      0:02:58   0:00:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1739   0         0.002     1023       9.76      0:02:58   0:00:35   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1746   0         0.002     1023       9.79      0:02:58   0:00:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1737   0         0.002     1023       9.75      0:02:58   0:00:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1745   0         0.002     1023       9.79      0:02:58   0:00:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1740   0         0.002     1023       9.76      0:02:58   0:00:35   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1747   0         0.002     1023       9.79      0:02:58   0:00:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1738   0         0.002     1023       9.75      0:02:58   0:00:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1746   0         0.002     1023       9.79      0:02:58   0:00:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1741   0         0.002     1023       9.76      0:02:58   0:00:34   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1748   0         0.002     1023       9.79      0:02:58   0:00:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1739   0         0.002     1023       9.75      0:02:58   0:00:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1747   0         0.002     1023       9.79      0:02:58   0:00:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1742   0         0.002     1023       9.76      0:02:58   0:00:34   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1749   0         0.002     1023       9.79      0:02:58   0:00:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1740   0         0.002     1023       9.75      0:02:58   0:00:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1748   0         0.002     1023       9.79      0:02:58   0:00:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1743   0         0.002     1023       9.76      0:02:58   0:00:34   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1750   0         0.002     1023       9.79      0:02:58   0:00:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1742   0         0.002     1023       9.75      0:02:58   0:00:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1749   0         0.002     1023       9.79      0:02:58   0:00:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1744   0         0.002     1023       9.76      0:02:58   0:00:34   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1751   0         0.002     1023       9.79      0:02:58   0:00:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1743   0         0.002     1023       9.75      0:02:58   0:00:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1750   0         0.002     1023       9.79      0:02:58   0:00:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1745   0         0.002     1023       9.76      0:02:58   0:00:34   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1751   0         0.002     1023       9.79      0:02:58   0:00:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1743   0         0.002     1023       9.75      0:02:58   0:00:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1750   0         0.002     1023       9.79      0:02:58   0:00:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1745   0         0.002     1023       9.76      0:02:58   0:00:34   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1752   0         0.002     1023       9.79      0:02:59   0:00:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1744   0         0.002     1023       9.74      0:02:59   0:00:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1751   0         0.002     1023       9.78      0:02:59   0:00:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1746   0         0.002     1023       9.76      0:02:59   0:00:33   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1753   0         0.002     1023       9.78      0:02:59   0:00:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1745   0         0.002     1023       9.74      0:02:59   0:00:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1752   0         0.002     1023       9.78      0:02:59   0:00:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1747   0         0.002     1023       9.75      0:02:59   0:00:33   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1753   0         0.002     1023       9.78      0:02:59   0:00:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1745   0         0.002     1023       9.74      0:02:59   0:00:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1752   0         0.002     1023       9.78      0:02:59   0:00:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1748   0         0.002     1023       9.75      0:02:59   0:00:33   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1754   0         0.002     1023       9.78      0:02:59   0:00:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1746   0         0.002     1023       9.73      0:02:59   0:00:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1753   0         0.002     1023       9.77      0:02:59   0:00:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1749   0         0.002     1023       9.75      0:02:59   0:00:33   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1755   0         0.002     1023       9.78      0:02:59   0:00:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1747   0         0.002     1023       9.73      0:02:59   0:00:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1754   0         0.002     1023       9.77      0:02:59   0:00:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1750   0         0.002     1023       9.75      0:02:59   0:00:33   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1756   0         0.002     1023       9.78      0:02:59   0:00:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1748   0         0.002     1023       9.73      0:02:59   0:00:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1755   0         0.002     1023       9.77      0:02:59   0:00:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1751   0         0.002     1023       9.75      0:02:59   0:00:33   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1757   0         0.002     1023       9.77      0:02:59   0:00:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1749   0         0.002     1023       9.73      0:02:59   0:00:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1756   0         0.002     1023       9.77      0:02:59   0:00:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1752   0         0.002     1023       9.74      0:02:59   0:00:33   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1758   0         0.002     1023       9.77      0:02:59   0:00:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1750   0         0.002     1023       9.73      0:02:59   0:00:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1757   0         0.002     1023       9.77      0:02:59   0:00:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1753   0         0.002     1023       9.74      0:02:59   0:00:33   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1759   0         0.002     1023       9.77      0:03:00   0:00:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1751   0         0.002     1023       9.73      0:03:00   0:00:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1758   0         0.002     1023       9.77      0:03:00   0:00:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1754   0         0.002     1023       9.74      0:03:00   0:00:33   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1760   0         0.002     1023       9.77      0:03:00   0:00:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1752   0         0.002     1023       9.73      0:03:00   0:00:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1759   0         0.002     1023       9.77      0:03:00   0:00:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1754   0         0.002     1023       9.74      0:03:00   0:00:33   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1761   0         0.002     1023       9.77      0:03:00   0:00:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1753   0         0.002     1023       9.73      0:03:00   0:00:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1760   0         0.002     1023       9.77      0:03:00   0:00:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1755   0         0.002     1023       9.74      0:03:00   0:00:32   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1762   0         0.002     1023       9.77      0:03:00   0:00:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1754   0         0.002     1023       9.72      0:03:00   0:00:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1760   0         0.002     1023       9.77      0:03:00   0:00:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1756   0         0.002     1023       9.74      0:03:00   0:00:32   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1762   0         0.002     1023       9.77      0:03:00   0:00:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1754   0         0.002     1023       9.72      0:03:00   0:00:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1761   0         0.002     1023       9.76      0:03:00   0:00:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1756   0         0.002     1023       9.74      0:03:00   0:00:32   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1763   0         0.002     1023       9.76      0:03:00   0:00:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1755   0         0.002     1023       9.72      0:03:00   0:00:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1762   0         0.002     1023       9.75      0:03:00   0:00:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1757   0         0.002     1023       9.73      0:03:00   0:00:33   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1764   0         0.002     1023       9.76      0:03:00   0:00:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1756   0         0.002     1023       9.71      0:03:00   0:00:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1763   0         0.002     1023       9.75      0:03:00   0:00:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1758   0         0.002     1023       9.73      0:03:00   0:00:32   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1765   0         0.002     1023       9.76      0:03:00   0:00:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1757   0         0.002     1023       9.71      0:03:00   0:00:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1764   0         0.002     1023       9.75      0:03:00   0:00:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1759   0         0.002     1023       9.72      0:03:00   0:00:32   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1766   0         0.002     1023       9.76      0:03:01   0:00:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1758   0         0.002     1023       9.71      0:03:01   0:00:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1765   0         0.002     1023       9.75      0:03:01   0:00:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1760   0         0.002     1023       9.72      0:03:01   0:00:32   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1767   0         0.002     1023       9.75      0:03:01   0:00:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1759   0         0.002     1023       9.71      0:03:01   0:00:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1766   0         0.002     1023       9.75      0:03:01   0:00:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1761   0         0.002     1023       9.72      0:03:01   0:00:32   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1768   0         0.002     1023       9.76      0:03:01   0:00:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1760   0         0.002     1023       9.71      0:03:01   0:00:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1767   0         0.002     1023       9.75      0:03:01   0:00:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1763   0         0.002     1023       9.72      0:03:01   0:00:31   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1770   0         0.002     1023       9.76      0:03:01   0:00:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1762   0         0.002     1023       9.71      0:03:01   0:00:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1769   0         0.002     1023       9.75      0:03:01   0:00:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1764   0         0.002     1023       9.73      0:03:01   0:00:31   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1771   0         0.002     1023       9.76      0:03:01   0:00:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1763   0         0.002     1023       9.71      0:03:01   0:00:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1770   0         0.002     1023       9.75      0:03:01   0:00:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1765   0         0.002     1023       9.72      0:03:01   0:00:31   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1772   0         0.002     1023       9.76      0:03:01   0:00:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1764   0         0.002     1023       9.71      0:03:01   0:00:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1771   0         0.002     1023       9.75      0:03:01   0:00:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1766   0         0.002     1023       9.72      0:03:01   0:00:31   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1773   0         0.002     1023       9.76      0:03:01   0:00:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1765   0         0.002     1023       9.71      0:03:01   0:00:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1772   0         0.002     1023       9.75      0:03:01   0:00:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1767   0         0.002     1023       9.72      0:03:01   0:00:31   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1774   0         0.002     1023       9.76      0:03:01   0:00:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1765   0         0.002     1023       9.71      0:03:01   0:00:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1773   0         0.002     1023       9.75      0:03:01   0:00:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1768   0         0.002     1023       9.72      0:03:01   0:00:31   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1774   0         0.002     1023       9.76      0:03:01   0:00:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1766   0         0.002     1023       9.71      0:03:01   0:00:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1773   0         0.002     1023       9.75      0:03:01   0:00:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1768   0         0.002     1023       9.72      0:03:01   0:00:31   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1775   0         0.002     1023       9.75      0:03:02   0:00:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1766   0         0.002     1023       9.71      0:03:02   0:00:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1774   0         0.002     1023       9.74      0:03:02   0:00:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1769   0         0.002     1023       9.72      0:03:02   0:00:31   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1776   0         0.002     1023       9.75      0:03:02   0:00:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1767   0         0.002     1023       9.70      0:03:02   0:00:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1774   0         0.002     1023       9.74      0:03:02   0:00:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1770   0         0.002     1023       9.71      0:03:02   0:00:31   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1776   0         0.002     1023       9.75      0:03:02   0:00:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1768   0         0.002     1023       9.69      0:03:02   0:00:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1775   0         0.002     1023       9.74      0:03:02   0:00:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1770   0         0.002     1023       9.71      0:03:02   0:00:31   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1777   0         0.002     1023       9.74      0:03:02   0:00:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1768   0         0.002     1023       9.69      0:03:02   0:00:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1776   0         0.002     1023       9.73      0:03:02   0:00:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1771   0         0.002     1023       9.71      0:03:02   0:00:30   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1778   0         0.002     1023       9.74      0:03:02   0:00:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1769   0         0.002     1023       9.69      0:03:02   0:00:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1777   0         0.002     1023       9.73      0:03:02   0:00:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1772   0         0.002     1023       9.71      0:03:02   0:00:30   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1779   0         0.002     1023       9.73      0:03:02   0:00:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1770   0         0.002     1023       9.69      0:03:02   0:00:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1778   0         0.002     1023       9.73      0:03:02   0:00:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1773   0         0.002     1023       9.70      0:03:02   0:00:30   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1780   0         0.002     1023       9.73      0:03:02   0:00:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1771   0         0.002     1023       9.69      0:03:02   0:00:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1779   0         0.002     1023       9.73      0:03:02   0:00:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1774   0         0.002     1023       9.70      0:03:02   0:00:30   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1781   0         0.002     1023       9.73      0:03:03   0:00:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1772   0         0.002     1023       9.69      0:03:02   0:00:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1780   0         0.002     1023       9.73      0:03:02   0:00:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1775   0         0.002     1023       9.70      0:03:02   0:00:30   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1782   0         0.002     1023       9.73      0:03:03   0:00:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1774   0         0.002     1023       9.69      0:03:03   0:00:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1781   0         0.002     1023       9.73      0:03:03   0:00:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1776   0         0.002     1023       9.70      0:03:03   0:00:30   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1783   0         0.002     1023       9.73      0:03:03   0:00:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1775   0         0.002     1023       9.69      0:03:03   0:00:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1782   0         0.002     1023       9.73      0:03:03   0:00:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1778   0         0.002     1023       9.70      0:03:03   0:00:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1784   0         0.002     1023       9.74      0:03:03   0:00:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1776   0         0.002     1023       9.69      0:03:03   0:00:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1783   0         0.002     1023       9.73      0:03:03   0:00:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1779   0         0.002     1023       9.71      0:03:03   0:00:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1785   0         0.002     1023       9.74      0:03:03   0:00:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1777   0         0.002     1023       9.69      0:03:03   0:00:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1784   0         0.002     1023       9.73      0:03:03   0:00:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1780   0         0.002     1023       9.71      0:03:03   0:00:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1786   0         0.002     1023       9.74      0:03:03   0:00:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1778   0         0.002     1023       9.69      0:03:03   0:00:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1785   0         0.002     1023       9.73      0:03:03   0:00:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1780   0         0.002     1023       9.71      0:03:03   0:00:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1787   0         0.002     1023       9.73      0:03:03   0:00:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1779   0         0.002     1023       9.69      0:03:03   0:00:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1786   0         0.002     1023       9.73      0:03:03   0:00:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1781   0         0.002     1023       9.70      0:03:03   0:00:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1788   0         0.002     1023       9.73      0:03:03   0:00:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1780   0         0.002     1023       9.69      0:03:03   0:00:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1787   0         0.002     1023       9.72      0:03:03   0:00:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1782   0         0.002     1023       9.70      0:03:03   0:00:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1789   0         0.002     1023       9.73      0:03:03   0:00:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1780   0         0.002     1023       9.69      0:03:03   0:00:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1788   0         0.002     1023       9.72      0:03:03   0:00:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1783   0         0.002     1023       9.70      0:03:03   0:00:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1790   0         0.002     1023       9.73      0:03:04   0:00:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1781   0         0.002     1023       9.68      0:03:04   0:00:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1789   0         0.002     1023       9.72      0:03:04   0:00:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1784   0         0.002     1023       9.70      0:03:04   0:00:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1791   0         0.002     1023       9.73      0:03:04   0:00:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1782   0         0.002     1023       9.68      0:03:04   0:00:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1790   0         0.002     1023       9.72      0:03:04   0:00:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1785   0         0.002     1023       9.70      0:03:04   0:00:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1792   0         0.002     1023       9.73      0:03:04   0:00:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1784   0         0.002     1023       9.68      0:03:04   0:00:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1791   0         0.002     1023       9.72      0:03:04   0:00:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1786   0         0.002     1023       9.70      0:03:04   0:00:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1794   0         0.002     1023       9.73      0:03:04   0:00:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1785   0         0.002     1023       9.68      0:03:04   0:00:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1792   0         0.002     1023       9.72      0:03:04   0:00:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1787   0         0.002     1023       9.70      0:03:04   0:00:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1795   0         0.002     1023       9.73      0:03:04   0:00:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1786   0         0.002     1023       9.68      0:03:04   0:00:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1793   0         0.002     1023       9.72      0:03:04   0:00:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1789   0         0.002     1023       9.70      0:03:04   0:00:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1796   0         0.002     1023       9.73      0:03:04   0:00:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1787   0         0.002     1023       9.68      0:03:04   0:00:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1795   0         0.002     1023       9.72      0:03:04   0:00:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1790   0         0.002     1023       9.70      0:03:04   0:00:27   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1797   0         0.002     1023       9.73      0:03:04   0:00:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1788   0         0.002     1023       9.68      0:03:04   0:00:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1796   0         0.002     1023       9.73      0:03:04   0:00:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1791   0         0.002     1023       9.70      0:03:04   0:00:27   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1798   0         0.002     1023       9.73      0:03:04   0:00:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1790   0         0.002     1023       9.69      0:03:04   0:00:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1797   0         0.002     1023       9.73      0:03:04   0:00:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1793   0         0.002     1023       9.70      0:03:04   0:00:27   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1799   0         0.002     1023       9.73      0:03:04   0:00:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1791   0         0.002     1023       9.69      0:03:04   0:00:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1798   0         0.002     1023       9.73      0:03:04   0:00:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1794   0         0.002     1023       9.70      0:03:04   0:00:27   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1800   0         0.002     1023       9.73      0:03:05   0:00:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1792   0         0.002     1023       9.68      0:03:05   0:00:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1799   0         0.002     1023       9.73      0:03:05   0:00:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1795   0         0.002     1023       9.70      0:03:05   0:00:26   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1800   0         0.002     1023       9.73      0:03:05   0:00:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1792   0         0.002     1023       9.68      0:03:05   0:00:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1799   0         0.002     1023       9.73      0:03:05   0:00:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1795   0         0.002     1023       9.70      0:03:05   0:00:26   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1801   0         0.002     1023       9.72      0:03:05   0:00:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1793   0         0.002     1023       9.68      0:03:05   0:00:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1800   0         0.002     1023       9.72      0:03:05   0:00:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1796   0         0.002     1023       9.69      0:03:05   0:00:26   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1802   0         0.002     1023       9.72      0:03:05   0:00:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1794   0         0.002     1023       9.67      0:03:05   0:00:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1801   0         0.002     1023       9.72      0:03:05   0:00:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1797   0         0.002     1023       9.69      0:03:05   0:00:26   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1803   0         0.002     1023       9.72      0:03:05   0:00:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1794   0         0.002     1023       9.67      0:03:05   0:00:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1802   0         0.002     1023       9.72      0:03:05   0:00:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1797   0         0.002     1023       9.69      0:03:05   0:00:26   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1804   0         0.002     1023       9.72      0:03:05   0:00:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1796   0         0.002     511        9.67      0:03:05   0:00:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1803   0         0.002     1023       9.71      0:03:05   0:00:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1798   0         0.002     1023       9.69      0:03:05   0:00:26   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1805   0         0.002     1023       9.72      0:03:05   0:00:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1797   0         0.002     1023       9.67      0:03:05   0:00:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1804   0         0.002     1023       9.71      0:03:05   0:00:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1800   0         0.002     1023       9.69      0:03:05   0:00:26   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1807   0         0.002     1023       9.72      0:03:05   0:00:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1798   0         0.002     1023       9.67      0:03:05   0:00:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1805   0         0.002     1023       9.71      0:03:05   0:00:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1801   0         0.002     1023       9.69      0:03:05   0:00:26   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1808   0         0.002     1023       9.72      0:03:06   0:00:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1799   0         0.002     1023       9.67      0:03:06   0:00:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1807   0         0.002     1023       9.71      0:03:06   0:00:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1802   0         0.002     1023       9.69      0:03:06   0:00:26   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1809   0         0.002     1023       9.72      0:03:06   0:00:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1800   0         0.002     1023       9.67      0:03:06   0:00:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1808   0         0.002     1023       9.71      0:03:06   0:00:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1803   0         0.002     1023       9.69      0:03:06   0:00:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1810   0         0.002     1023       9.72      0:03:06   0:00:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1801   0         0.002     1023       9.67      0:03:06   0:00:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1808   0         0.002     1023       9.71      0:03:06   0:00:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1804   0         0.002     1023       9.69      0:03:06   0:00:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1811   0         0.002     1023       9.72      0:03:06   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1802   0         0.002     1023       9.67      0:03:06   0:00:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1809   0         0.002     1023       9.71      0:03:06   0:00:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1805   0         0.002     1023       9.69      0:03:06   0:00:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1812   0         0.002     1023       9.72      0:03:06   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1803   0         0.002     1023       9.67      0:03:06   0:00:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1810   0         0.002     1023       9.71      0:03:06   0:00:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1806   0         0.002     1023       9.69      0:03:06   0:00:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1813   0         0.002     1023       9.72      0:03:06   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1804   0         0.002     1023       9.67      0:03:06   0:00:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1811   0         0.002     1023       9.71      0:03:06   0:00:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1807   0         0.002     1023       9.68      0:03:06   0:00:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1814   0         0.002     1023       9.71      0:03:06   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1805   0         0.002     1023       9.67      0:03:06   0:00:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1812   0         0.002     1023       9.71      0:03:06   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1808   0         0.002     1023       9.68      0:03:06   0:00:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1814   0         0.002     1023       9.71      0:03:06   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1805   0         0.002     1023       9.67      0:03:06   0:00:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1812   0         0.002     1023       9.71      0:03:06   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1808   0         0.002     1023       9.68      0:03:06   0:00:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1815   0         0.002     1023       9.70      0:03:07   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1806   0         0.002     1023       9.66      0:03:07   0:00:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1813   0         0.002     1023       9.70      0:03:07   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1809   0         0.002     1023       9.67      0:03:07   0:00:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1815   0         0.002     1023       9.70      0:03:07   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1807   0         0.002     1023       9.65      0:03:07   0:00:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1814   0         0.002     1023       9.69      0:03:07   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1809   0         0.002     1023       9.67      0:03:07   0:00:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1816   0         0.002     1023       9.69      0:03:07   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1807   0         0.002     1023       9.65      0:03:07   0:00:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1814   0         0.002     1023       9.69      0:03:07   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1810   0         0.002     1023       9.66      0:03:07   0:00:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1816   0         0.002     1023       9.69      0:03:07   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1808   0         0.002     1023       9.64      0:03:07   0:00:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1815   0         0.002     1023       9.68      0:03:07   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1810   0         0.002     1023       9.66      0:03:07   0:00:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1817   0         0.002     1023       9.68      0:03:07   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1809   0         0.002     1023       9.64      0:03:07   0:00:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1816   0         0.002     1023       9.68      0:03:07   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1811   0         0.002     1023       9.65      0:03:07   0:00:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1818   0         0.002     1023       9.68      0:03:07   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1809   0         0.002     1023       9.64      0:03:07   0:00:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1817   0         0.002     1023       9.67      0:03:07   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1812   0         0.002     1023       9.65      0:03:07   0:00:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1819   0         0.002     1023       9.68      0:03:07   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1810   0         0.002     1023       9.64      0:03:07   0:00:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1817   0         0.002     1023       9.67      0:03:07   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1813   0         0.002     1023       9.65      0:03:07   0:00:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1820   0         0.002     1023       9.68      0:03:08   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1811   0         0.002     1023       9.63      0:03:08   0:00:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1818   0         0.002     1023       9.67      0:03:08   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1814   0         0.002     1023       9.65      0:03:08   0:00:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1821   0         0.002     1023       9.68      0:03:08   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1812   0         0.002     1023       9.63      0:03:08   0:00:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1819   0         0.002     1023       9.67      0:03:08   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1815   0         0.002     1023       9.65      0:03:08   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1822   0         0.002     1023       9.68      0:03:08   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1813   0         0.002     1023       9.63      0:03:08   0:00:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1820   0         0.002     1023       9.67      0:03:08   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1816   0         0.002     1023       9.65      0:03:08   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1823   0         0.002     1023       9.68      0:03:08   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1814   0         0.002     1023       9.63      0:03:08   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1821   0         0.002     1023       9.67      0:03:08   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1817   0         0.002     1023       9.65      0:03:08   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1823   0         0.002     1023       9.68      0:03:08   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1814   0         0.002     1023       9.63      0:03:08   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1822   0         0.002     1023       9.67      0:03:08   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1817   0         0.002     1023       9.65      0:03:08   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1824   0         0.002     1023       9.67      0:03:08   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1815   0         0.002     1023       9.63      0:03:08   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1822   0         0.002     1023       9.67      0:03:08   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1818   0         0.002     1023       9.64      0:03:08   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1824   0         0.002     1023       9.67      0:03:08   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1815   0         0.002     1023       9.63      0:03:08   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1823   0         0.002     1023       9.66      0:03:08   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1818   0         0.002     1023       9.64      0:03:08   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1824   0         0.002     1023       9.67      0:03:08   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1816   0         0.002     1023       9.62      0:03:08   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1823   0         0.002     1023       9.66      0:03:08   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1818   0         0.002     1023       9.64      0:03:08   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1825   0         0.002     1023       9.66      0:03:09   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1816   0         0.002     1023       9.62      0:03:09   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1823   0         0.002     1023       9.66      0:03:09   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1819   0         0.002     1023       9.63      0:03:09   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1826   0         0.002     1023       9.65      0:03:09   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1817   0         0.002     1023       9.61      0:03:09   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1824   0         0.002     1023       9.65      0:03:09   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1819   0         0.002     1023       9.63      0:03:09   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1827   0         0.002     1023       9.65      0:03:09   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1818   0         0.002     1023       9.61      0:03:09   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1825   0         0.002     1023       9.64      0:03:09   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1820   0         0.002     1023       9.62      0:03:09   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1828   0         0.002     1023       9.65      0:03:09   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1819   0         0.002     1023       9.61      0:03:09   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1826   0         0.002     1023       9.64      0:03:09   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1821   0         0.002     1023       9.62      0:03:09   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1829   0         0.002     1023       9.65      0:03:09   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1820   0         0.002     1023       9.61      0:03:09   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1827   0         0.002     1023       9.64      0:03:09   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1823   0         0.002     1023       9.62      0:03:09   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1830   0         0.002     1023       9.65      0:03:09   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1821   0         0.002     1023       9.61      0:03:09   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1828   0         0.002     1023       9.64      0:03:09   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1824   0         0.002     1023       9.62      0:03:09   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1831   0         0.002     1023       9.65      0:03:09   0:00:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1822   0         0.002     1023       9.61      0:03:09   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1829   0         0.002     1023       9.64      0:03:09   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1825   0         0.002     1023       9.62      0:03:09   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1832   0         0.002     1023       9.65      0:03:09   0:00:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1824   0         0.002     1023       9.61      0:03:09   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1831   0         0.002     1023       9.65      0:03:09   0:00:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1826   0         0.002     1023       9.62      0:03:09   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1833   0         0.002     1023       9.65      0:03:09   0:00:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1825   0         0.002     1023       9.61      0:03:09   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1832   0         0.002     1023       9.65      0:03:09   0:00:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1827   0         0.002     1023       9.62      0:03:09   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1834   0         0.002     1023       9.65      0:03:10   0:00:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1826   0         0.002     1023       9.61      0:03:10   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1833   0         0.002     1023       9.65      0:03:10   0:00:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1828   0         0.002     1023       9.62      0:03:10   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1835   0         0.002     1023       9.65      0:03:10   0:00:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1827   0         0.002     1023       9.61      0:03:10   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1834   0         0.002     1023       9.65      0:03:10   0:00:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1829   0         0.002     1023       9.62      0:03:10   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1836   0         0.002     1023       9.65      0:03:10   0:00:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1828   0         0.002     1023       9.60      0:03:10   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1835   0         0.002     1023       9.64      0:03:10   0:00:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1830   0         0.002     1023       9.62      0:03:10   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1837   0         0.002     1023       9.65      0:03:10   0:00:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1829   0         0.002     1023       9.60      0:03:10   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1836   0         0.002     1023       9.64      0:03:10   0:00:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1831   0         0.002     1023       9.62      0:03:10   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1838   0         0.002     1023       9.65      0:03:10   0:00:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1829   0         0.002     1023       9.60      0:03:10   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1836   0         0.002     1023       9.64      0:03:10   0:00:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1832   0         0.002     1023       9.62      0:03:10   0:00:22   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1839   0         0.002     1023       9.64      0:03:10   0:00:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1830   0         0.002     1023       9.60      0:03:10   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1837   0         0.002     1023       9.64      0:03:10   0:00:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1832   0         0.002     1023       9.62      0:03:10   0:00:22   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1840   0         0.002     1023       9.64      0:03:10   0:00:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1831   0         0.002     1023       9.60      0:03:10   0:00:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1838   0         0.002     1023       9.64      0:03:10   0:00:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1833   0         0.002     1023       9.61      0:03:10   0:00:22   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1840   0         0.002     1023       9.64      0:03:10   0:00:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1832   0         0.002     1023       9.60      0:03:10   0:00:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1839   0         0.002     1023       9.63      0:03:10   0:00:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1834   0         0.002     1023       9.61      0:03:10   0:00:22   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1841   0         0.002     1023       9.63      0:03:11   0:00:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1832   0         0.002     1023       9.60      0:03:11   0:00:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1839   0         0.002     1023       9.63      0:03:11   0:00:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1834   0         0.002     1023       9.61      0:03:11   0:00:22   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1841   0         0.002     1023       9.63      0:03:11   0:00:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1833   0         0.002     1023       9.59      0:03:11   0:00:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1840   0         0.002     1023       9.63      0:03:11   0:00:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1835   0         0.002     1023       9.60      0:03:11   0:00:22   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1842   0         0.002     1023       9.63      0:03:11   0:00:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1834   0         0.002     1023       9.59      0:03:11   0:00:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1841   0         0.002     1023       9.63      0:03:11   0:00:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1836   0         0.002     1023       9.60      0:03:11   0:00:22   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1843   0         0.002     1023       9.63      0:03:11   0:00:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1835   0         0.002     1023       9.59      0:03:11   0:00:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1842   0         0.002     1023       9.62      0:03:11   0:00:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1837   0         0.002     1023       9.60      0:03:11   0:00:22   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1844   0         0.002     1023       9.63      0:03:11   0:00:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1836   0         0.002     1023       9.59      0:03:11   0:00:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1843   0         0.002     1023       9.62      0:03:11   0:00:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1838   0         0.002     1023       9.60      0:03:11   0:00:22   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1845   0         0.002     1023       9.63      0:03:11   0:00:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1837   0         0.002     1023       9.59      0:03:11   0:00:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1844   0         0.002     1023       9.62      0:03:11   0:00:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1839   0         0.002     1023       9.60      0:03:11   0:00:21   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1846   0         0.002     1023       9.63      0:03:11   0:00:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1838   0         0.002     1023       9.59      0:03:11   0:00:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1845   0         0.002     1023       9.62      0:03:11   0:00:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1840   0         0.002     1023       9.60      0:03:11   0:00:21   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1847   0         0.002     1023       9.63      0:03:11   0:00:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1839   0         0.002     1023       9.59      0:03:11   0:00:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1846   0         0.002     1023       9.62      0:03:11   0:00:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1841   0         0.002     1023       9.60      0:03:11   0:00:21   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1848   0         0.002     1023       9.63      0:03:12   0:00:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1840   0         0.002     1023       9.59      0:03:12   0:00:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1847   0         0.002     1023       9.62      0:03:12   0:00:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1842   0         0.002     1023       9.60      0:03:12   0:00:21   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1849   0         0.002     1023       9.63      0:03:12   0:00:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1841   0         0.002     1023       9.58      0:03:12   0:00:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1848   0         0.002     1023       9.62      0:03:12   0:00:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1843   0         0.002     1023       9.60      0:03:12   0:00:21   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1850   0         0.002     1023       9.62      0:03:12   0:00:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1841   0         0.002     1023       9.58      0:03:12   0:00:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1848   0         0.002     1023       9.62      0:03:12   0:00:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1844   0         0.002     1023       9.58      0:03:12   0:00:21   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1850   0         0.002     1023       9.62      0:03:12   0:00:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1842   0         0.002     1023       9.57      0:03:12   0:00:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1849   0         0.002     1023       9.61      0:03:12   0:00:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1844   0         0.002     1023       9.58      0:03:12   0:00:21   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1851   0         0.002     1023       9.61      0:03:12   0:00:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1843   0         0.002     1023       9.57      0:03:12   0:00:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1849   0         0.002     1023       9.61      0:03:12   0:00:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1845   0         0.002     1023       9.58      0:03:12   0:00:21   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1852   0         0.002     1023       9.61      0:03:12   0:00:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1843   0         0.002     1023       9.57      0:03:12   0:00:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1850   0         0.002     1023       9.60      0:03:12   0:00:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1845   0         0.002     1023       9.58      0:03:12   0:00:21   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1853   0         0.002     1023       9.61      0:03:12   0:00:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1844   0         0.002     1023       9.57      0:03:12   0:00:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1851   0         0.002     1023       9.60      0:03:12   0:00:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1846   0         0.002     1023       9.58      0:03:12   0:00:21   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1854   0         0.002     1023       9.61      0:03:12   0:00:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1845   0         0.002     1023       9.56      0:03:12   0:00:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1852   0         0.002     1023       9.60      0:03:12   0:00:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1847   0         0.002     1023       9.58      0:03:12   0:00:21   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1855   0         0.002     1023       9.61      0:03:13   0:00:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1846   0         0.002     1023       9.56      0:03:13   0:00:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1853   0         0.002     1023       9.60      0:03:13   0:00:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1848   0         0.002     1023       9.58      0:03:13   0:00:21   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1856   0         0.002     1023       9.61      0:03:13   0:00:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1847   0         0.002     1023       9.56      0:03:13   0:00:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1854   0         0.002     1023       9.60      0:03:13   0:00:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1849   0         0.002     1023       9.58      0:03:13   0:00:21   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1856   0         0.002     1023       9.61      0:03:13   0:00:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1848   0         0.002     1023       9.56      0:03:13   0:00:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1855   0         0.002     1023       9.60      0:03:13   0:00:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1850   0         0.002     1023       9.57      0:03:13   0:00:21   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1858   0         0.002     1023       9.61      0:03:13   0:00:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1849   0         0.002     1023       9.56      0:03:13   0:00:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1856   0         0.002     1023       9.60      0:03:13   0:00:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1851   0         0.002     1023       9.57      0:03:13   0:00:20   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1859   0         0.002     1023       9.61      0:03:13   0:00:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1850   0         0.002     1023       9.56      0:03:13   0:00:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1857   0         0.002     1023       9.60      0:03:13   0:00:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1853   0         0.002     1023       9.57      0:03:13   0:00:20   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1860   0         0.002     1023       9.61      0:03:13   0:00:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1852   0         0.002     1023       9.56      0:03:13   0:00:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1858   0         0.002     1023       9.60      0:03:13   0:00:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1854   0         0.002     1023       9.57      0:03:13   0:00:20   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1861   0         0.002     1023       9.61      0:03:13   0:00:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1853   0         0.002     1023       9.56      0:03:13   0:00:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1860   0         0.002     1023       9.60      0:03:13   0:00:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1855   0         0.002     1023       9.57      0:03:13   0:00:20   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1862   0         0.002     1023       9.61      0:03:13   0:00:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1853   0         0.002     1023       9.56      0:03:13   0:00:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1860   0         0.002     1023       9.60      0:03:13   0:00:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1856   0         0.002     1023       9.57      0:03:13   0:00:20   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1862   0         0.002     1023       9.61      0:03:14   0:00:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1854   0         0.002     1023       9.56      0:03:14   0:00:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1861   0         0.002     1023       9.59      0:03:14   0:00:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1856   0         0.002     1023       9.57      0:03:14   0:00:20   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1863   0         0.002     1023       9.60      0:03:14   0:00:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1855   0         0.002     1023       9.55      0:03:14   0:00:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1861   0         0.002     1023       9.59      0:03:14   0:00:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1857   0         0.002     1023       9.57      0:03:14   0:00:20   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1864   0         0.002     1023       9.60      0:03:14   0:00:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1855   0         0.002     1023       9.55      0:03:14   0:00:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1862   0         0.002     1023       9.59      0:03:14   0:00:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1858   0         0.002     1023       9.56      0:03:14   0:00:20   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1865   0         0.002     1023       9.59      0:03:14   0:00:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1856   0         0.002     1023       9.55      0:03:14   0:00:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1863   0         0.002     1023       9.58      0:03:14   0:00:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1859   0         0.002     1023       9.56      0:03:14   0:00:19   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1866   0         0.002     1023       9.59      0:03:14   0:00:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1857   0         0.002     1023       9.55      0:03:14   0:00:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1864   0         0.002     1023       9.58      0:03:14   0:00:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1860   0         0.002     1023       9.56      0:03:14   0:00:19   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1867   0         0.002     1023       9.59      0:03:14   0:00:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1858   0         0.002     1023       9.55      0:03:14   0:00:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1865   0         0.002     1023       9.58      0:03:14   0:00:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1861   0         0.002     1023       9.56      0:03:14   0:00:19   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1868   0         0.002     1023       9.59      0:03:14   0:00:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1860   0         0.002     1023       9.55      0:03:14   0:00:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1866   0         0.002     1023       9.58      0:03:14   0:00:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1862   0         0.002     1023       9.56      0:03:14   0:00:19   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1869   0         0.002     1023       9.59      0:03:14   0:00:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1861   0         0.002     1023       9.55      0:03:14   0:00:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1867   0         0.002     1023       9.58      0:03:14   0:00:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1863   0         0.002     1023       9.56      0:03:14   0:00:19   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1871   0         0.002     1023       9.59      0:03:15   0:00:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1862   0         0.002     1023       9.55      0:03:15   0:00:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1868   0         0.002     1023       9.58      0:03:15   0:00:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1864   0         0.002     1023       9.56      0:03:15   0:00:19   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1872   0         0.002     1023       9.59      0:03:15   0:00:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1863   0         0.002     1023       9.55      0:03:15   0:00:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1870   0         0.002     1023       9.58      0:03:15   0:00:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1866   0         0.002     1023       9.56      0:03:15   0:00:18   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1873   0         0.002     1023       9.59      0:03:15   0:00:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1865   0         0.002     1023       9.55      0:03:15   0:00:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1871   0         0.002     1023       9.58      0:03:15   0:00:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1867   0         0.002     1023       9.56      0:03:15   0:00:18   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1874   0         0.002     1023       9.59      0:03:15   0:00:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1866   0         0.002     1023       9.55      0:03:15   0:00:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1872   0         0.002     1023       9.58      0:03:15   0:00:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1868   0         0.002     1023       9.56      0:03:15   0:00:18   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1875   0         0.002     1023       9.59      0:03:15   0:00:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1867   0         0.002     1023       9.55      0:03:15   0:00:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1874   0         0.002     1023       9.59      0:03:15   0:00:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1869   0         0.002     1023       9.56      0:03:15   0:00:18   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1876   0         0.002     1023       9.59      0:03:15   0:00:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1868   0         0.002     1023       9.55      0:03:15   0:00:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1875   0         0.002     1023       9.58      0:03:15   0:00:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1870   0         0.002     1023       9.56      0:03:15   0:00:18   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1877   0         0.002     1023       9.59      0:03:15   0:00:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1869   0         0.002     1023       9.55      0:03:15   0:00:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1876   0         0.002     1023       9.58      0:03:15   0:00:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1871   0         0.002     1023       9.56      0:03:15   0:00:18   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1878   0         0.002     1023       9.59      0:03:15   0:00:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1870   0         0.002     1023       9.55      0:03:15   0:00:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1876   0         0.002     1023       9.58      0:03:15   0:00:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1872   0         0.002     1023       9.56      0:03:15   0:00:17   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1878   0         0.002     1023       9.59      0:03:16   0:00:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1870   0         0.002     1023       9.55      0:03:16   0:00:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1877   0         0.002     1023       9.58      0:03:16   0:00:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1872   0         0.002     1023       9.56      0:03:16   0:00:17   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1880   0         0.002     1023       9.59      0:03:16   0:00:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1872   0         0.002     1023       9.54      0:03:16   0:00:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1878   0         0.002     1023       9.58      0:03:16   0:00:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1874   0         0.002     1023       9.56      0:03:16   0:00:17   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1881   0         0.002     1023       9.59      0:03:16   0:00:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1873   0         0.002     1023       9.54      0:03:16   0:00:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1880   0         0.002     1023       9.58      0:03:16   0:00:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1875   0         0.002     1023       9.56      0:03:16   0:00:17   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1881   0         0.002     1023       9.59      0:03:16   0:00:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1873   0         0.002     1023       9.54      0:03:16   0:00:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1880   0         0.002     1023       9.58      0:03:16   0:00:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1875   0         0.002     1023       9.56      0:03:16   0:00:17   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1882   0         0.002     1023       9.58      0:03:16   0:00:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1874   0         0.002     1023       9.54      0:03:16   0:00:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1881   0         0.002     1023       9.58      0:03:16   0:00:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1876   0         0.002     1023       9.55      0:03:16   0:00:17   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1883   0         0.002     1023       9.58      0:03:16   0:00:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1875   0         0.002     1023       9.54      0:03:16   0:00:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1882   0         0.002     1023       9.58      0:03:16   0:00:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1877   0         0.002     1023       9.55      0:03:16   0:00:17   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1884   0         0.002     1023       9.58      0:03:16   0:00:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1876   0         0.002     1023       9.54      0:03:16   0:00:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1883   0         0.002     1023       9.57      0:03:16   0:00:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1878   0         0.002     1023       9.55      0:03:16   0:00:17   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1885   0         0.002     1023       9.58      0:03:16   0:00:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1877   0         0.002     1023       9.54      0:03:16   0:00:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1884   0         0.002     1023       9.57      0:03:16   0:00:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1879   0         0.002     1023       9.55      0:03:16   0:00:17   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1886   0         0.002     1023       9.58      0:03:16   0:00:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1878   0         0.002     1023       9.54      0:03:16   0:00:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1885   0         0.002     1023       9.57      0:03:16   0:00:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1880   0         0.002     1023       9.55      0:03:16   0:00:16   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1887   0         0.002     1023       9.58      0:03:17   0:00:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1879   0         0.002     1023       9.54      0:03:17   0:00:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1886   0         0.002     1023       9.57      0:03:17   0:00:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1881   0         0.002     1023       9.55      0:03:17   0:00:16   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1888   0         0.002     1023       9.58      0:03:17   0:00:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1880   0         0.002     1023       9.54      0:03:17   0:00:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1887   0         0.002     1023       9.57      0:03:17   0:00:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1882   0         0.002     1023       9.55      0:03:17   0:00:16   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1889   0         0.002     1023       9.58      0:03:17   0:00:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1881   0         0.002     1023       9.54      0:03:17   0:00:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1888   0         0.002     1023       9.57      0:03:17   0:00:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1883   0         0.002     1023       9.55      0:03:17   0:00:16   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1890   0         0.002     1023       9.58      0:03:17   0:00:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1882   0         0.002     1023       9.54      0:03:17   0:00:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1889   0         0.002     1023       9.57      0:03:17   0:00:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1884   0         0.002     1023       9.55      0:03:17   0:00:16   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1891   0         0.002     1023       9.58      0:03:17   0:00:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1883   0         0.002     1023       9.54      0:03:17   0:00:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1890   0         0.002     1023       9.57      0:03:17   0:00:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1885   0         0.002     1023       9.55      0:03:17   0:00:16   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1891   0         0.002     1023       9.58      0:03:17   0:00:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1883   0         0.002     1023       9.54      0:03:17   0:00:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1890   0         0.002     1023       9.57      0:03:17   0:00:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1885   0         0.002     1023       9.55      0:03:17   0:00:16   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1892   0         0.002     1023       9.57      0:03:17   0:00:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1884   0         0.002     1023       9.53      0:03:17   0:00:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1891   0         0.002     1023       9.56      0:03:17   0:00:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1886   0         0.002     1023       9.54      0:03:17   0:00:16   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1893   0         0.002     1023       9.57      0:03:17   0:00:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1885   0         0.002     1023       9.53      0:03:17   0:00:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1892   0         0.002     1023       9.56      0:03:17   0:00:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1887   0         0.002     1023       9.54      0:03:17   0:00:15   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1893   0         0.002     1023       9.57      0:03:18   0:00:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1886   0         0.002     1023       9.53      0:03:18   0:00:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1892   0         0.002     1023       9.56      0:03:18   0:00:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1887   0         0.002     1023       9.54      0:03:18   0:00:15   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1894   0         0.002     1023       9.56      0:03:18   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1886   0         0.002     1023       9.53      0:03:18   0:00:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1893   0         0.002     1023       9.56      0:03:18   0:00:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1888   0         0.002     1023       9.53      0:03:18   0:00:15   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1895   0         0.002     1023       9.56      0:03:18   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1887   0         0.002     1023       9.52      0:03:18   0:00:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1894   0         0.002     1023       9.55      0:03:18   0:00:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1889   0         0.002     1023       9.53      0:03:18   0:00:15   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1896   0         0.002     1023       9.56      0:03:18   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1887   0         0.002     1023       9.52      0:03:18   0:00:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1895   0         0.002     1023       9.55      0:03:18   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1890   0         0.002     1023       9.53      0:03:18   0:00:15   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1897   0         0.002     1023       9.55      0:03:18   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1888   0         0.002     1023       9.51      0:03:18   0:00:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1896   0         0.002     1023       9.55      0:03:18   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1891   0         0.002     1023       9.52      0:03:18   0:00:15   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1898   0         0.002     1023       9.55      0:03:18   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1889   0         0.002     1023       9.51      0:03:18   0:00:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1897   0         0.002     1023       9.55      0:03:18   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1892   0         0.002     1023       9.52      0:03:18   0:00:15   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1899   0         0.002     1023       9.55      0:03:18   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1891   0         0.002     1023       9.51      0:03:18   0:00:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1898   0         0.002     1023       9.55      0:03:18   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1893   0         0.002     1023       9.52      0:03:18   0:00:15   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1900   0         0.002     1023       9.55      0:03:18   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1892   0         0.002     1023       9.51      0:03:18   0:00:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1899   0         0.002     1023       9.55      0:03:18   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1894   0         0.002     1023       9.52      0:03:18   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1901   0         0.002     1023       9.55      0:03:19   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1893   0         0.002     1023       9.51      0:03:19   0:00:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1900   0         0.002     1023       9.55      0:03:19   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1895   0         0.002     1023       9.52      0:03:19   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1902   0         0.002     1023       9.55      0:03:19   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1894   0         0.002     1023       9.51      0:03:19   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1901   0         0.002     1023       9.55      0:03:19   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1896   0         0.002     1023       9.52      0:03:19   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1904   0         0.002     1023       9.56      0:03:19   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1895   0         0.002     1023       9.51      0:03:19   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1903   0         0.002     1023       9.55      0:03:19   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1898   0         0.002     1023       9.53      0:03:19   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1905   0         0.002     1023       9.56      0:03:19   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1897   0         0.002     1023       9.51      0:03:19   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1904   0         0.002     1023       9.55      0:03:19   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1899   0         0.002     1023       9.53      0:03:19   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1906   0         0.002     1023       9.56      0:03:19   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1898   0         0.002     1023       9.52      0:03:19   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1905   0         0.002     1023       9.55      0:03:19   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1900   0         0.002     1023       9.53      0:03:19   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1907   0         0.002     1023       9.56      0:03:19   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1899   0         0.002     1023       9.52      0:03:19   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1906   0         0.002     1023       9.55      0:03:19   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1901   0         0.002     1023       9.53      0:03:19   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1909   0         0.002     1023       9.56      0:03:19   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1900   0         0.002     1023       9.52      0:03:19   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1907   0         0.002     1023       9.55      0:03:19   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1902   0         0.002     1023       9.53      0:03:19   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1909   0         0.002     1023       9.56      0:03:19   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1901   0         0.002     1023       9.52      0:03:19   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1908   0         0.002     1023       9.55      0:03:19   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1903   0         0.002     1023       9.53      0:03:19   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1910   0         0.002     1023       9.55      0:03:19   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1902   0         0.002     1023       9.51      0:03:19   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1909   0         0.002     1023       9.55      0:03:19   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1904   0         0.002     1023       9.52      0:03:19   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1911   0         0.002     1023       9.55      0:03:20   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1902   0         0.002     1023       9.51      0:03:20   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1910   0         0.002     1023       9.55      0:03:20   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1905   0         0.002     1023       9.52      0:03:20   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1911   0         0.002     1023       9.55      0:03:20   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1903   0         0.002     1023       9.51      0:03:20   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1910   0         0.002     1023       9.55      0:03:20   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1905   0         0.002     1023       9.52      0:03:20   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1912   0         0.002     1023       9.55      0:03:20   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1904   0         0.002     1023       9.51      0:03:20   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1911   0         0.002     1023       9.54      0:03:20   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1907   0         0.002     1023       9.52      0:03:20   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1914   0         0.002     1023       9.55      0:03:20   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1905   0         0.002     1023       9.51      0:03:20   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1913   0         0.002     1023       9.55      0:03:20   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1908   0         0.002     1023       9.52      0:03:20   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1914   0         0.002     1023       9.55      0:03:20   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1906   0         0.002     1023       9.51      0:03:20   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1913   0         0.002     1023       9.55      0:03:20   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1908   0         0.002     1023       9.52      0:03:20   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1915   0         0.002     1023       9.55      0:03:20   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1907   0         0.002     1023       9.51      0:03:20   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1914   0         0.002     1023       9.54      0:03:20   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1909   0         0.002     1023       9.52      0:03:20   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1916   0         0.002     1023       9.55      0:03:20   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1908   0         0.002     1023       9.51      0:03:20   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1916   0         0.002     1023       9.54      0:03:20   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1911   0         0.002     1023       9.52      0:03:20   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1918   0         0.002     1023       9.55      0:03:20   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1910   0         0.002     1023       9.51      0:03:20   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1917   0         0.002     1023       9.55      0:03:20   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1912   0         0.002     1023       9.52      0:03:20   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1919   0         0.002     1023       9.55      0:03:21   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1911   0         0.002     1023       9.51      0:03:21   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1919   0         0.002     1023       9.55      0:03:21   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1913   0         0.002     1023       9.52      0:03:21   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1920   0         0.002     1023       9.55      0:03:21   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1912   0         0.002     1023       9.51      0:03:21   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1920   0         0.002     1023       9.55      0:03:21   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1914   0         0.002     1023       9.52      0:03:21   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1921   0         0.002     1023       9.55      0:03:21   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1913   0         0.002     1023       9.51      0:03:21   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1921   0         0.002     1023       9.55      0:03:21   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1915   0         0.002     1023       9.52      0:03:21   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1922   0         0.002     1023       9.55      0:03:21   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1914   0         0.002     1023       9.51      0:03:21   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1922   0         0.002     1023       9.55      0:03:21   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1916   0         0.002     1023       9.52      0:03:21   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1924   0         0.002     1023       9.55      0:03:21   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1916   0         0.002     1023       9.51      0:03:21   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1924   0         0.002     1023       9.55      0:03:21   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1918   0         0.002     1023       9.52      0:03:21   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1925   0         0.002     1023       9.55      0:03:21   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1917   0         0.002     1023       9.51      0:03:21   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1925   0         0.002     1023       9.55      0:03:21   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1919   0         0.002     1023       9.52      0:03:21   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1926   0         0.002     1023       9.55      0:03:21   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1918   0         0.002     1023       9.51      0:03:21   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1926   0         0.002     1023       9.55      0:03:21   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1920   0         0.002     1023       9.52      0:03:21   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1927   0         0.002     1023       9.55      0:03:21   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1919   0         0.002     1023       9.51      0:03:21   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1927   0         0.002     1023       9.55      0:03:21   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1921   0         0.002     1023       9.52      0:03:21   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1928   0         0.002     1023       9.55      0:03:22   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1920   0         0.002     1023       9.51      0:03:22   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1928   0         0.002     1023       9.55      0:03:21   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1922   0         0.002     1023       9.52      0:03:21   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1929   0         0.002     1023       9.54      0:03:22   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1921   0         0.002     1023       9.50      0:03:22   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1929   0         0.002     1023       9.54      0:03:22   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1923   0         0.002     1023       9.51      0:03:22   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1930   0         0.002     1023       9.54      0:03:22   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1922   0         0.002     1023       9.50      0:03:22   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1930   0         0.002     1023       9.54      0:03:22   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1924   0         0.002     1023       9.51      0:03:22   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1931   0         0.002     1023       9.54      0:03:22   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1923   0         0.002     1023       9.50      0:03:22   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1931   0         0.002     1023       9.54      0:03:22   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1925   0         0.002     1023       9.51      0:03:22   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1932   0         0.002     1023       9.54      0:03:22   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1924   0         0.002     1023       9.50      0:03:22   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1931   0         0.002     1023       9.54      0:03:22   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1925   0         0.002     1023       9.51      0:03:22   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1933   0         0.002     1023       9.54      0:03:22   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1925   0         0.002     1023       9.50      0:03:22   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1932   0         0.002     1023       9.54      0:03:22   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1926   0         0.002     1023       9.51      0:03:22   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1934   0         0.002     1023       9.54      0:03:22   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1926   0         0.002     1023       9.50      0:03:22   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1934   0         0.002     1023       9.54      0:03:22   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1928   0         0.002     1023       9.51      0:03:22   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1935   0         0.002     1023       9.54      0:03:22   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1928   0         0.002     1023       9.50      0:03:22   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1935   0         0.002     1023       9.54      0:03:22   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1929   0         0.002     1023       9.51      0:03:22   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1937   0         0.002     1023       9.54      0:03:22   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1929   0         0.002     1023       9.50      0:03:22   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1937   0         0.002     1023       9.54      0:03:22   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1930   0         0.002     1023       9.51      0:03:22   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1938   0         0.002     1023       9.54      0:03:23   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1930   0         0.002     1023       9.51      0:03:23   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1938   0         0.002     1023       9.54      0:03:23   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1931   0         0.002     1023       9.51      0:03:23   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1939   0         0.002     1023       9.54      0:03:23   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1932   0         0.002     1023       9.51      0:03:23   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1939   0         0.002     1023       9.55      0:03:23   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1933   0         0.002     1023       9.51      0:03:23   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1940   0         0.002     1023       9.55      0:03:23   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1933   0         0.002     1023       9.51      0:03:23   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1940   0         0.002     1023       9.55      0:03:23   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1934   0         0.002     1023       9.51      0:03:23   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1942   0         0.002     1023       9.55      0:03:23   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1934   0         0.002     1023       9.51      0:03:23   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1942   0         0.002     1023       9.55      0:03:23   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1935   0         0.002     1023       9.52      0:03:23   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1943   0         0.002     1023       9.55      0:03:23   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1935   0         0.002     1023       9.51      0:03:23   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1943   0         0.002     1023       9.55      0:03:23   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1936   0         0.002     1023       9.52      0:03:23   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1944   0         0.002     1023       9.55      0:03:23   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1936   0         0.002     1023       9.51      0:03:23   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1944   0         0.002     1023       9.55      0:03:23   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1938   0         0.002     1023       9.52      0:03:23   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1945   0         0.002     1023       9.55      0:03:23   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1937   0         0.002     1023       9.51      0:03:23   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1945   0         0.002     1023       9.55      0:03:23   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1938   0         0.002     1023       9.52      0:03:23   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1946   0         0.002     1023       9.55      0:03:23   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1938   0         0.002     1023       9.50      0:03:23   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1946   0         0.002     1023       9.55      0:03:23   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1939   0         0.002     1023       9.51      0:03:23   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1947   0         0.002     1023       9.55      0:03:24   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1939   0         0.002     1023       9.50      0:03:24   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1947   0         0.002     1023       9.54      0:03:24   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1940   0         0.002     1023       9.51      0:03:24   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1948   0         0.002     1023       9.54      0:03:24   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1939   0         0.002     1023       9.50      0:03:24   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1947   0         0.002     1023       9.54      0:03:24   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1941   0         0.002     1023       9.51      0:03:24   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1949   0         0.002     1023       9.54      0:03:24   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1940   0         0.002     1023       9.50      0:03:24   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1948   0         0.002     1023       9.54      0:03:24   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1942   0         0.002     1023       9.51      0:03:24   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1950   0         0.002     1023       9.54      0:03:24   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1941   0         0.002     1023       9.50      0:03:24   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1949   0         0.002     1023       9.54      0:03:24   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1943   0         0.002     1023       9.51      0:03:24   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1950   0         0.002     1023       9.54      0:03:24   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1942   0         0.002     1023       9.50      0:03:24   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1950   0         0.002     1023       9.54      0:03:24   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1943   0         0.002     1023       9.51      0:03:24   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1951   0         0.002     1023       9.53      0:03:24   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1943   0         0.002     1023       9.49      0:03:24   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1950   0         0.002     1023       9.54      0:03:24   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1944   0         0.002     1023       9.50      0:03:24   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1952   0         0.002     1023       9.53      0:03:24   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1943   0         0.002     1023       9.49      0:03:24   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1951   0         0.002     1023       9.53      0:03:24   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1945   0         0.002     1023       9.50      0:03:24   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1952   0         0.002     1023       9.53      0:03:24   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1944   0         0.002     1023       9.49      0:03:24   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1952   0         0.002     1023       9.53      0:03:24   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1945   0         0.002     1023       9.50      0:03:24   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1953   0         0.002     1023       9.53      0:03:25   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1945   0         0.002     1023       9.49      0:03:24   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1952   0         0.002     1023       9.53      0:03:24   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1946   0         0.002     1023       9.50      0:03:24   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1954   0         0.002     1023       9.53      0:03:25   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1946   0         0.002     1023       9.49      0:03:25   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1953   0         0.002     1023       9.53      0:03:25   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1947   0         0.002     1023       9.49      0:03:25   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1955   0         0.002     1023       9.53      0:03:25   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1946   0         0.002     1023       9.49      0:03:25   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1954   0         0.002     1023       9.53      0:03:25   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1948   0         0.002     1023       9.49      0:03:25   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1956   0         0.002     1023       9.53      0:03:25   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1947   0         0.002     1023       9.49      0:03:25   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1955   0         0.002     1023       9.52      0:03:25   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1949   0         0.002     1023       9.49      0:03:25   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1957   0         0.002     1023       9.53      0:03:25   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1948   0         0.002     1023       9.49      0:03:25   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1956   0         0.002     1023       9.52      0:03:25   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1950   0         0.002     1023       9.49      0:03:25   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1958   0         0.002     1023       9.53      0:03:25   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1949   0         0.002     1023       9.49      0:03:25   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1957   0         0.002     1023       9.52      0:03:25   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1951   0         0.002     1023       9.49      0:03:25   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1958   0         0.002     1023       9.53      0:03:25   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1950   0         0.002     1023       9.49      0:03:25   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1958   0         0.002     1023       9.52      0:03:25   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1951   0         0.002     1023       9.49      0:03:25   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1959   0         0.002     1023       9.52      0:03:25   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1951   0         0.002     1023       9.48      0:03:25   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1959   0         0.002     1023       9.52      0:03:25   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1952   0         0.002     1023       9.49      0:03:25   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1960   0         0.002     1023       9.52      0:03:25   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1952   0         0.002     1023       9.48      0:03:25   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1960   0         0.002     1023       9.52      0:03:25   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1953   0         0.002     1023       9.48      0:03:25   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1961   0         0.002     1023       9.52      0:03:26   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1952   0         0.002     1023       9.48      0:03:26   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1960   0         0.002     1023       9.52      0:03:26   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1953   0         0.002     1023       9.48      0:03:26   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1961   0         0.002     1023       9.52      0:03:26   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1953   0         0.002     1023       9.47      0:03:26   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1961   0         0.002     1023       9.51      0:03:26   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1954   0         0.002     1023       9.48      0:03:26   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1962   0         0.002     1023       9.51      0:03:26   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1954   0         0.002     1023       9.47      0:03:26   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1962   0         0.002     1023       9.51      0:03:26   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1955   0         0.002     1023       9.48      0:03:26   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1963   0         0.002     1023       9.51      0:03:26   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1955   0         0.002     1023       9.47      0:03:26   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1962   0         0.002     1023       9.51      0:03:26   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1956   0         0.002     1023       9.48      0:03:26   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1964   0         0.002     1023       9.51      0:03:26   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1955   0         0.002     1023       9.47      0:03:26   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1963   0         0.002     1023       9.51      0:03:26   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1957   0         0.002     1023       9.47      0:03:26   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1965   0         0.002     1023       9.51      0:03:26   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1957   0         0.002     1023       9.47      0:03:26   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1964   0         0.002     1023       9.51      0:03:26   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1958   0         0.002     1023       9.47      0:03:26   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1966   0         0.002     1023       9.51      0:03:26   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1958   0         0.002     1023       9.47      0:03:26   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1965   0         0.002     1023       9.51      0:03:26   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1959   0         0.002     1023       9.47      0:03:26   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1967   0         0.002     1023       9.51      0:03:26   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1959   0         0.002     1023       9.47      0:03:26   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1966   0         0.002     1023       9.51      0:03:26   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1960   0         0.002     1023       9.47      0:03:26   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1968   0         0.002     1023       9.51      0:03:27   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1960   0         0.002     1023       9.47      0:03:27   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1967   0         0.002     1023       9.51      0:03:27   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1961   0         0.002     1023       9.47      0:03:27   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1969   0         0.002     1023       9.51      0:03:27   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1961   0         0.002     1023       9.47      0:03:27   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1968   0         0.002     1023       9.51      0:03:27   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1962   0         0.002     1023       9.47      0:03:27   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1970   0         0.002     1023       9.51      0:03:27   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1962   0         0.002     1023       9.47      0:03:27   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1970   0         0.002     1023       9.51      0:03:27   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1963   0         0.002     1023       9.47      0:03:27   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1972   0         0.002     1023       9.51      0:03:27   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1963   0         0.002     1023       9.47      0:03:27   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1971   0         0.002     1023       9.51      0:03:27   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1964   0         0.002     1023       9.47      0:03:27   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1973   0         0.002     1023       9.51      0:03:27   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1964   0         0.002     1023       9.47      0:03:27   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1972   0         0.002     1023       9.51      0:03:27   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1965   0         0.002     1023       9.47      0:03:27   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1974   0         0.002     1023       9.51      0:03:27   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1965   0         0.002     1023       9.47      0:03:27   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1973   0         0.002     1023       9.50      0:03:27   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1966   0         0.002     1023       9.47      0:03:27   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1974   0         0.002     1023       9.51      0:03:27   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1966   0         0.002     1023       9.47      0:03:27   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1973   0         0.002     1023       9.50      0:03:27   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1966   0         0.002     1023       9.47      0:03:27   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1975   0         0.002     1023       9.50      0:03:27   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1966   0         0.002     1023       9.47      0:03:27   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1974   0         0.002     1023       9.50      0:03:27   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1967   0         0.002     1023       9.47      0:03:27   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1976   0         0.002     1023       9.50      0:03:28   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1967   0         0.002     1023       9.46      0:03:28   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1975   0         0.002     1023       9.50      0:03:28   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1968   0         0.002     1023       9.46      0:03:28   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1976   0         0.002     1023       9.50      0:03:28   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1968   0         0.002     1023       9.46      0:03:28   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1975   0         0.002     1023       9.50      0:03:28   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1969   0         0.002     1023       9.46      0:03:28   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1978   0         0.002     1023       9.49      0:03:28   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1969   0         0.002     1023       9.45      0:03:28   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1976   0         0.002     1023       9.49      0:03:28   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1969   0         0.002     1023       9.46      0:03:28   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1979   0         0.002     1023       9.49      0:03:28   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1970   0         0.002     1023       9.45      0:03:28   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1977   0         0.002     1023       9.49      0:03:28   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1971   0         0.002     511        9.46      0:03:28   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1979   0         0.002     1023       9.49      0:03:28   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1971   0         0.002     1023       9.45      0:03:28   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1978   0         0.002     1023       9.49      0:03:28   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1972   0         0.002     1023       9.46      0:03:28   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1980   0         0.002     1023       9.49      0:03:28   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1971   0         0.002     1023       9.45      0:03:28   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1979   0         0.002     1023       9.49      0:03:28   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1972   0         0.002     1023       9.46      0:03:28   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1981   0         0.002     1023       9.49      0:03:28   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1972   0         0.002     1023       9.45      0:03:28   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1980   0         0.002     1023       9.48      0:03:28   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1973   0         0.002     1023       9.45      0:03:28   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1982   0         0.002     1023       9.49      0:03:28   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1973   0         0.002     1023       9.45      0:03:28   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1981   0         0.002     1023       9.48      0:03:28   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1975   0         0.002     1023       9.46      0:03:28   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1983   0         0.002     1023       9.49      0:03:29   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1975   0         0.002     1023       9.45      0:03:29   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1982   0         0.002     1023       9.48      0:03:29   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1976   0         0.002     1023       9.46      0:03:29   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1984   0         0.002     1023       9.49      0:03:29   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1976   0         0.002     1023       9.45      0:03:29   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1983   0         0.002     1023       9.49      0:03:29   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1977   0         0.002     1023       9.46      0:03:29   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1985   0         0.002     1023       9.49      0:03:29   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1977   0         0.002     1023       9.45      0:03:29   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1985   0         0.002     1023       9.49      0:03:29   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1979   0         0.002     1023       9.46      0:03:29   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1987   0         0.002     1023       9.49      0:03:29   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1978   0         0.002     1023       9.45      0:03:29   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1986   0         0.002     1023       9.49      0:03:29   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1980   0         0.002     1023       9.46      0:03:29   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1988   0         0.002     1023       9.49      0:03:29   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1980   0         0.002     1023       9.45      0:03:29   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1987   0         0.002     1023       9.49      0:03:29   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1981   0         0.002     1023       9.46      0:03:29   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1989   0         0.002     1023       9.49      0:03:29   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1981   0         0.002     1023       9.45      0:03:29   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1989   0         0.002     1023       9.49      0:03:29   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1982   0         0.002     1023       9.46      0:03:29   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1990   0         0.002     1023       9.49      0:03:29   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1982   0         0.002     1023       9.45      0:03:29   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1990   0         0.002     1023       9.49      0:03:29   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1984   0         0.002     1023       9.46      0:03:29   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1992   0         0.002     1023       9.50      0:03:29   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1983   0         0.002     1023       9.46      0:03:29   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1991   0         0.002     1023       9.49      0:03:29   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1985   0         0.002     1023       9.46      0:03:29   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1992   0         0.002     1023       9.50      0:03:29   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1984   0         0.002     1023       9.46      0:03:29   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1992   0         0.002     1023       9.49      0:03:29   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1985   0         0.002     1023       9.46      0:03:29   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1993   0         0.002     1023       9.49      0:03:30   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1984   0         0.002     1023       9.46      0:03:30   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1992   0         0.002     1023       9.49      0:03:30   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1986   0         0.002     1023       9.46      0:03:30   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1994   0         0.002     1023       9.49      0:03:30   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1985   0         0.002     1023       9.45      0:03:30   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1993   0         0.002     1023       9.48      0:03:30   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1987   0         0.002     1023       9.45      0:03:30   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1994   0         0.002     1023       9.49      0:03:30   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1986   0         0.002     1023       9.44      0:03:30   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1993   0         0.002     1023       9.48      0:03:30   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1987   0         0.002     1023       9.45      0:03:30   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1995   0         0.002     1023       9.48      0:03:30   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1986   0         0.002     1023       9.44      0:03:30   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1994   0         0.002     1023       9.48      0:03:30   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1988   0         0.002     1023       9.45      0:03:30   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1996   0         0.002     1023       9.48      0:03:30   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1987   0         0.002     1023       9.44      0:03:30   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1995   0         0.002     1023       9.48      0:03:30   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1989   0         0.002     1023       9.45      0:03:30   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1996   0         0.002     1023       9.48      0:03:30   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1988   0         0.002     1023       9.44      0:03:30   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1995   0         0.002     1023       9.48      0:03:30   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1989   0         0.002     1023       9.45      0:03:30   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1997   0         0.002     1023       9.48      0:03:30   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1989   0         0.002     1023       9.44      0:03:30   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1996   0         0.002     1023       9.47      0:03:30   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1990   0         0.002     1023       9.44      0:03:30   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1998   0         0.002     1023       9.47      0:03:30   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1990   0         0.002     1023       9.43      0:03:30   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1997   0         0.002     1023       9.47      0:03:30   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1991   0         0.002     1023       9.44      0:03:30   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1999   0         0.002     1023       9.47      0:03:31   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1990   0         0.002     1023       9.43      0:03:31   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1998   0         0.002     1023       9.47      0:03:31   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1992   0         0.002     1023       9.44      0:03:31   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━━\u001b[0m   2000   0         0.002     1023       9.47      0:03:31   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1991   0         0.002     1023       9.43      0:03:31   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1999   0         0.002     1023       9.47      0:03:31   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1992   0         0.002     1023       9.44      0:03:31   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━━\u001b[0m   2000   0         0.002     1023       9.47      0:03:31   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1991   0         0.002     1023       9.43      0:03:31   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1999   0         0.002     1023       9.47      0:03:31   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1992   0         0.002     1023       9.44      0:03:31   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━━\u001b[0m   2000   0         0.002     1023       9.47      0:03:31   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1992   0         0.002     1023       9.43      0:03:31   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━━\u001b[0m   2000   0         0.002     1023       9.47      0:03:31   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1993   0         0.002     1023       9.44      0:03:31   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━━\u001b[0m   2000   0         0.002     1023       9.47      0:03:31   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1992   0         0.002     1023       9.43      0:03:31   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━━\u001b[0m   2000   0         0.002     1023       9.47      0:03:31   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1993   0         0.002     1023       9.44      0:03:31   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━━\u001b[0m   2000   0         0.002     1023       9.47      0:03:31   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1993   0         0.002     1023       9.43      0:03:31   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━━\u001b[0m   2000   0         0.002     1023       9.47      0:03:31   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1994   0         0.002     1023       9.43      0:03:31   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━━\u001b[0m   2000   0         0.002     1023       9.47      0:03:31   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1994   0         0.002     1023       9.43      0:03:31   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━━\u001b[0m   2000   0         0.002     1023       9.47      0:03:31   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1995   0         0.002     1023       9.43      0:03:31   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━━\u001b[0m   2000   0         0.002     1023       9.47      0:03:31   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1995   0         0.002     1023       9.43      0:03:31   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━━\u001b[0m   2000   0         0.002     1023       9.47      0:03:31   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1996   0         0.002     1023       9.43      0:03:31   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━━\u001b[0m   2000   0         0.002     1023       9.47      0:03:31   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1996   0         0.002     1023       9.43      0:03:31   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━━\u001b[0m   2000   0         0.002     1023       9.47      0:03:31   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1997   0         0.002     1023       9.43      0:03:31   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━━\u001b[0m   2000   0         0.002     1023       9.47      0:03:31   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1997   0         0.002     1023       9.43      0:03:31   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━━\u001b[0m   2000   0         0.002     1023       9.47      0:03:31   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1999   0         0.002     1023       9.43      0:03:31   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━━\u001b[0m   2000   0         0.002     1023       9.47      0:03:31   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1998   0         0.002     1023       9.43      0:03:31   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━━\u001b[0m   2000   0         0.002     1023       9.47      0:03:31   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━━\u001b[0m   2000   0         0.002     1023       9.43      0:03:31   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━━\u001b[0m   2000   0         0.002     1023       9.47      0:03:31   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1998   0         0.002     1023       9.43      0:03:32   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━━\u001b[0m   2000   0         0.002     1023       9.47      0:03:31   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━━\u001b[0m   2000   0         0.002     1023       9.43      0:03:31   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━━\u001b[0m   2000   0         0.002     1023       9.47      0:03:31   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1999   0         0.002     1023       9.43      0:03:32   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━━\u001b[0m   2000   0         0.002     1023       9.47      0:03:31   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━━\u001b[0m   2000   0         0.002     1023       9.43      0:03:31   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━━\u001b[0m   2000   0         0.002     1023       9.47      0:03:31   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━━\u001b[0m   2000   0         0.002     1023       9.43      0:03:32   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━━\u001b[0m   2000   0         0.002     1023       9.47      0:03:31   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━━\u001b[0m   2000   0         0.002     1023       9.43      0:03:31   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━━━━\u001b[0m   2000   0         0.002     1023       9.47      0:03:31   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━━\u001b[0m   2000   0         0.002     1023       9.43      0:03:32   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━━\u001b[0m   2000   0         0.002     1023       9.47      0:03:31   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━━\u001b[0m   2000   0         0.002     1023       9.43      0:03:31   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "                                                                                \n",
+      "\u001b[?25hSampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 212 seconds.\n",
+      "Chain 0 reached the maximum tree depth. Increase `max_treedepth`, increase `target_accept` or reparameterize.\n",
+      "Chain 1 reached the maximum tree depth. Increase `max_treedepth`, increase `target_accept` or reparameterize.\n",
+      "Chain 2 reached the maximum tree depth. Increase `max_treedepth`, increase `target_accept` or reparameterize.\n",
+      "Chain 3 reached the maximum tree depth. Increase `max_treedepth`, increase `target_accept` or reparameterize.\n",
+      "The rhat statistic is larger than 1.01 for some parameters. This indicates problems during sampling. See https://arxiv.org/abs/1903.08008 for details\n",
+      "Sampling: [beta, y_hat, y_hat_sigma]\n",
+      "Sampling: [y_hat]\n",
+      "Sampling: [y_hat]\n",
+      "Sampling: [y_hat]\n",
+      "Sampling: [y_hat]\n"
+     ]
+    }
+   ],
+   "source": [
+    "sample_kwargs = {\"tune\": 1000, \"target_accept\": 0.99, \"random_seed\": seed}\n",
+    "\n",
+    "result = cp.SyntheticControl(\n",
+    "    df,\n",
+    "    treatment_time,\n",
+    "    control_units=other_countries,\n",
+    "    treated_units=[target_country],\n",
+    "    model=cp.pymc_models.WeightedSumFitter(\n",
+    "        sample_kwargs=sample_kwargs,\n",
+    "    ),\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "While we are at it, let's plot the graphviz representation of the model. This shows us the inner workings of the `WeightedSumFitter` class which defines our synthetic control model with a sum to 1 constraint on the donor weights (here labelled as `coeffs`). This will be particularly useful when we come to exploring custom priors (see below)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-28T22:18:03.991291Z",
+     "iopub.status.busy": "2026-02-28T22:18:03.991227Z",
+     "iopub.status.idle": "2026-02-28T22:18:04.263893Z",
+     "shell.execute_reply": "2026-02-28T22:18:04.263445Z"
+    }
+   },
+   "outputs": [
     {
-      "cell_type": "code",
-      "metadata": {
-        "execution": {
-          "iopub.execute_input": "2026-02-28T22:16:37.858153Z",
-          "iopub.status.busy": "2026-02-28T22:16:37.857660Z",
-          "iopub.status.idle": "2026-02-28T22:16:37.920223Z",
-          "shell.execute_reply": "2026-02-28T22:16:37.919254Z"
-        }
-      },
-      "source": [
-        "uk_corr = corr[\"UK\"].drop(\"UK\")\n",
-        "threshold = 0.1\n",
-        "excluded = list(uk_corr[uk_corr < threshold].index)\n",
-        "other_countries = [c for c in other_countries if c not in excluded]\n",
-        "print(f\"Excluded: {excluded}\")\n",
-        "print(f\"Remaining donors ({len(other_countries)}): {other_countries}\")"
+     "data": {
+      "image/svg+xml": [
+       "<?xml version=\"1.0\" encoding=\"UTF-8\" standalone=\"no\"?>\n",
+       "<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n",
+       " \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n",
+       "<!-- Generated by graphviz version 14.1.4 (20260321.0153)\n",
+       " -->\n",
+       "<!-- Pages: 1 -->\n",
+       "<svg width=\"370pt\" height=\"491pt\"\n",
+       " viewBox=\"0.00 0.00 370.00 491.00\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n",
+       "<g id=\"graph0\" class=\"graph\" transform=\"scale(1 1) rotate(0) translate(4 486.95)\">\n",
+       "<polygon fill=\"white\" stroke=\"none\" points=\"-4,4 -4,-486.95 366,-486.95 366,4 -4,4\"/>\n",
+       "<g id=\"clust1\" class=\"cluster\">\n",
+       "<title>clusterobs_ind (23) x coeffs (15)</title>\n",
+       "<path fill=\"none\" stroke=\"black\" d=\"M20,-365.04C20,-365.04 155,-365.04 155,-365.04 161,-365.04 167,-371.04 167,-377.04 167,-377.04 167,-451.04 167,-451.04 167,-457.04 161,-463.04 155,-463.04 155,-463.04 20,-463.04 20,-463.04 14,-463.04 8,-457.04 8,-451.04 8,-451.04 8,-377.04 8,-377.04 8,-371.04 14,-365.04 20,-365.04\"/>\n",
+       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"87.75\" y=\"-372.24\" font-family=\"Times,serif\" font-size=\"14.00\">obs_ind (23) x coeffs (15)</text>\n",
+       "</g>\n",
+       "<g id=\"clust2\" class=\"cluster\">\n",
+       "<title>clusterobs_ind (23) x treated_units (1)</title>\n",
+       "<path fill=\"none\" stroke=\"black\" d=\"M22,-8C22,-8 187,-8 187,-8 193,-8 199,-14 199,-20 199,-20 199,-321.23 199,-321.23 199,-327.23 193,-333.23 187,-333.23 187,-333.23 22,-333.23 22,-333.23 16,-333.23 10,-327.23 10,-321.23 10,-321.23 10,-20 10,-20 10,-14 16,-8 22,-8\"/>\n",
+       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"104.75\" y=\"-15.2\" font-family=\"Times,serif\" font-size=\"14.00\">obs_ind (23) x treated_units (1)</text>\n",
+       "</g>\n",
+       "<g id=\"clust3\" class=\"cluster\">\n",
+       "<title>clustertreated_units (1) x coeffs (15)</title>\n",
+       "<path fill=\"none\" stroke=\"black\" d=\"M187,-353.13C187,-353.13 342,-353.13 342,-353.13 348,-353.13 354,-359.13 354,-365.13 354,-365.13 354,-462.95 354,-462.95 354,-468.95 348,-474.95 342,-474.95 342,-474.95 187,-474.95 187,-474.95 181,-474.95 175,-468.95 175,-462.95 175,-462.95 175,-365.13 175,-365.13 175,-359.13 181,-353.13 187,-353.13\"/>\n",
+       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"264.62\" y=\"-360.33\" font-family=\"Times,serif\" font-size=\"14.00\">treated_units (1) x coeffs (15)</text>\n",
+       "</g>\n",
+       "<g id=\"clust4\" class=\"cluster\">\n",
+       "<title>clustertreated_units (1)</title>\n",
+       "<path fill=\"none\" stroke=\"black\" d=\"M219,-223.32C219,-223.32 333,-223.32 333,-223.32 339,-223.32 345,-229.32 345,-235.32 345,-235.32 345,-333.13 345,-333.13 345,-339.13 339,-345.13 333,-345.13 333,-345.13 219,-345.13 219,-345.13 213,-345.13 207,-339.13 207,-333.13 207,-333.13 207,-235.32 207,-235.32 207,-229.32 213,-223.32 219,-223.32\"/>\n",
+       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"292.38\" y=\"-230.52\" font-family=\"Times,serif\" font-size=\"14.00\">treated_units (1)</text>\n",
+       "</g>\n",
+       "<!-- X -->\n",
+       "<g id=\"node1\" class=\"node\">\n",
+       "<title>X</title>\n",
+       "<path fill=\"lightgrey\" stroke=\"black\" d=\"M147,-455.04C147,-455.04 117,-455.04 117,-455.04 111,-455.04 105,-449.04 105,-443.04 105,-443.04 105,-409.54 105,-409.54 105,-403.54 111,-397.54 117,-397.54 117,-397.54 147,-397.54 147,-397.54 153,-397.54 159,-403.54 159,-409.54 159,-409.54 159,-443.04 159,-443.04 159,-449.04 153,-455.04 147,-455.04\"/>\n",
+       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"132\" y=\"-437.74\" font-family=\"Times,serif\" font-size=\"14.00\">X</text>\n",
+       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"132\" y=\"-421.24\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"132\" y=\"-404.74\" font-family=\"Times,serif\" font-size=\"14.00\">Data</text>\n",
+       "</g>\n",
+       "<!-- mu -->\n",
+       "<g id=\"node4\" class=\"node\">\n",
+       "<title>mu</title>\n",
+       "<polygon fill=\"none\" stroke=\"black\" points=\"191.12,-325.23 100.88,-325.23 100.88,-267.73 191.12,-267.73 191.12,-325.23\"/>\n",
+       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"146\" y=\"-307.93\" font-family=\"Times,serif\" font-size=\"14.00\">mu</text>\n",
+       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"146\" y=\"-291.43\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"146\" y=\"-274.93\" font-family=\"Times,serif\" font-size=\"14.00\">Deterministic</text>\n",
+       "</g>\n",
+       "<!-- X&#45;&gt;mu -->\n",
+       "<g id=\"edge2\" class=\"edge\">\n",
+       "<title>X&#45;&gt;mu</title>\n",
+       "<path fill=\"none\" stroke=\"black\" d=\"M135.07,-397.24C137.01,-379.51 139.55,-356.34 141.69,-336.78\"/>\n",
+       "<polygon fill=\"black\" stroke=\"black\" points=\"145.16,-337.29 142.77,-326.97 138.2,-336.52 145.16,-337.29\"/>\n",
+       "</g>\n",
+       "<!-- y -->\n",
+       "<g id=\"node2\" class=\"node\">\n",
+       "<title>y</title>\n",
+       "<path fill=\"lightgrey\" stroke=\"black\" d=\"M163,-98C163,-98 133,-98 133,-98 127,-98 121,-92 121,-86 121,-86 121,-52.5 121,-52.5 121,-46.5 127,-40.5 133,-40.5 133,-40.5 163,-40.5 163,-40.5 169,-40.5 175,-46.5 175,-52.5 175,-52.5 175,-86 175,-86 175,-92 169,-98 163,-98\"/>\n",
+       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"148\" y=\"-80.7\" font-family=\"Times,serif\" font-size=\"14.00\">y</text>\n",
+       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"148\" y=\"-64.2\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"148\" y=\"-47.7\" font-family=\"Times,serif\" font-size=\"14.00\">Data</text>\n",
+       "</g>\n",
+       "<!-- y_hat -->\n",
+       "<g id=\"node3\" class=\"node\">\n",
+       "<title>y_hat</title>\n",
+       "<ellipse fill=\"lightgrey\" stroke=\"black\" cx=\"148\" cy=\"-174.66\" rx=\"41.01\" ry=\"40.66\"/>\n",
+       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"148\" y=\"-186.11\" font-family=\"Times,serif\" font-size=\"14.00\">y_hat</text>\n",
+       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"148\" y=\"-169.61\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"148\" y=\"-153.11\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
+       "</g>\n",
+       "<!-- y_hat&#45;&gt;y -->\n",
+       "<g id=\"edge1\" class=\"edge\">\n",
+       "<title>y_hat&#45;&gt;y</title>\n",
+       "<path fill=\"none\" stroke=\"black\" d=\"M148,-133.68C148,-125.83 148,-117.6 148,-109.76\"/>\n",
+       "<polygon fill=\"black\" stroke=\"black\" points=\"151.5,-109.79 148,-99.79 144.5,-109.79 151.5,-109.79\"/>\n",
+       "</g>\n",
+       "<!-- mu&#45;&gt;y_hat -->\n",
+       "<g id=\"edge5\" class=\"edge\">\n",
+       "<title>mu&#45;&gt;y_hat</title>\n",
+       "<path fill=\"none\" stroke=\"black\" d=\"M146.47,-267.38C146.67,-255.28 146.91,-240.73 147.15,-226.83\"/>\n",
+       "<polygon fill=\"black\" stroke=\"black\" points=\"150.64,-226.94 147.31,-216.88 143.65,-226.82 150.64,-226.94\"/>\n",
+       "</g>\n",
+       "<!-- beta -->\n",
+       "<g id=\"node5\" class=\"node\">\n",
+       "<title>beta</title>\n",
+       "<ellipse fill=\"none\" stroke=\"black\" cx=\"228\" cy=\"-426.29\" rx=\"45.25\" ry=\"40.66\"/>\n",
+       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"228\" y=\"-437.74\" font-family=\"Times,serif\" font-size=\"14.00\">beta</text>\n",
+       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"228\" y=\"-421.24\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"228\" y=\"-404.74\" font-family=\"Times,serif\" font-size=\"14.00\">Dirichlet</text>\n",
+       "</g>\n",
+       "<!-- beta&#45;&gt;mu -->\n",
+       "<g id=\"edge3\" class=\"edge\">\n",
+       "<title>beta&#45;&gt;mu</title>\n",
+       "<path fill=\"none\" stroke=\"black\" d=\"M205.81,-390.7C194.76,-373.49 181.39,-352.65 170.1,-335.04\"/>\n",
+       "<polygon fill=\"black\" stroke=\"black\" points=\"173.23,-333.43 164.88,-326.91 167.33,-337.21 173.23,-333.43\"/>\n",
+       "</g>\n",
+       "<!-- y_hat_sigma -->\n",
+       "<g id=\"node6\" class=\"node\">\n",
+       "<title>y_hat_sigma</title>\n",
+       "<ellipse fill=\"none\" stroke=\"black\" cx=\"276\" cy=\"-296.48\" rx=\"60.63\" ry=\"40.66\"/>\n",
+       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"276\" y=\"-307.93\" font-family=\"Times,serif\" font-size=\"14.00\">y_hat_sigma</text>\n",
+       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"276\" y=\"-291.43\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"276\" y=\"-274.93\" font-family=\"Times,serif\" font-size=\"14.00\">Exponential</text>\n",
+       "</g>\n",
+       "<!-- y_hat_sigma&#45;&gt;y_hat -->\n",
+       "<g id=\"edge4\" class=\"edge\">\n",
+       "<title>y_hat_sigma&#45;&gt;y_hat</title>\n",
+       "<path fill=\"none\" stroke=\"black\" d=\"M243.01,-261.96C230.64,-249.63 216.34,-235.66 203,-223.32 197.95,-218.64 192.56,-213.8 187.2,-209.07\"/>\n",
+       "<polygon fill=\"black\" stroke=\"black\" points=\"189.83,-206.72 180,-202.77 185.22,-211.99 189.83,-206.72\"/>\n",
+       "</g>\n",
+       "</g>\n",
+       "</svg>\n"
       ],
-      "execution_count": 8,
-      "outputs": [
-        {
-          "output_type": "stream",
-          "text": [
-            "Excluded: []\n",
-            "Remaining donors (15): ['Australia', 'Austria', 'Belgium', 'Canada', 'Denmark', 'Finland', 'France', 'Germany', 'Iceland', 'Luxemburg', 'Netherlands', 'New_Zealand', 'Norway', 'Sweden', 'Switzerland']\n"
-          ],
-          "name": "stdout"
-        }
+      "text/plain": [
+       "<graphviz.graphs.Digraph at 0x136e89010>"
       ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "## Run the analysis\n",
-        "\n",
-        "Note: The analysis is (and should be) run on the raw GDP data. We do not use the normalised data shown above which was just for ease of visualization."
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        ":::{note}\n",
-        "The `random_seed` keyword argument for the PyMC sampler is not necessary. We use it here so that the results are reproducible.\n",
-        ":::"
-      ]
-    },
+     },
+     "execution_count": null,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "result.model.to_graphviz()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We currently get some divergences, but these are mostly dealt with by increasing `tune` and `target_accept` sampling parameters. Nevertheless, the sampling of this dataset/model combination feels a little brittle."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-28T22:18:04.264959Z",
+     "iopub.status.busy": "2026-02-28T22:18:04.264888Z",
+     "iopub.status.idle": "2026-02-28T22:18:04.304055Z",
+     "shell.execute_reply": "2026-02-28T22:18:04.303739Z"
+    }
+   },
+   "outputs": [
     {
-      "cell_type": "code",
-      "metadata": {
-        "execution": {
-          "iopub.execute_input": "2026-02-28T22:16:37.922614Z",
-          "iopub.status.busy": "2026-02-28T22:16:37.922413Z",
-          "iopub.status.idle": "2026-02-28T22:18:03.437321Z",
-          "shell.execute_reply": "2026-02-28T22:18:03.436888Z"
-        }
-      },
-      "source": [
-        "sample_kwargs = {\"tune\": 1000, \"target_accept\": 0.99, \"random_seed\": seed}\n",
-        "\n",
-        "result = cp.SyntheticControl(\n",
-        "    df,\n",
-        "    treatment_time,\n",
-        "    control_units=other_countries,\n",
-        "    treated_units=[target_country],\n",
-        "    model=cp.pymc_models.WeightedSumFitter(\n",
-        "        sample_kwargs=sample_kwargs,\n",
-        "    ),\n",
-        ")"
+     "data": {
+      "text/html": [
+       "\n",
+       "            <div>\n",
+       "              <div class='xr-header'>\n",
+       "                <div class=\"xr-obj-type\">arviz.InferenceData</div>\n",
+       "              </div>\n",
+       "              <ul class=\"xr-sections group-sections\">\n",
+       "              \n",
+       "            <li class = \"xr-section-item\">\n",
+       "                  <input id=\"idata_posterior3d2c895a-d9f2-49cc-996f-936f07320dc9\" class=\"xr-section-summary-in\" type=\"checkbox\">\n",
+       "                  <label for=\"idata_posterior3d2c895a-d9f2-49cc-996f-936f07320dc9\" class = \"xr-section-summary\">posterior</label>\n",
+       "                  <div class=\"xr-section-inline-details\"></div>\n",
+       "                  <div class=\"xr-section-details\">\n",
+       "                      <ul id=\"xr-dataset-coord-list\" class=\"xr-var-list\">\n",
+       "                          <div style=\"padding-left:2rem;\"><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "<defs>\n",
+       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
+       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
+       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
+       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
+       "</symbol>\n",
+       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
+       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
+       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "</symbol>\n",
+       "</defs>\n",
+       "</svg>\n",
+       "<style>/* CSS stylesheet for displaying xarray objects in notebooks */\n",
+       "\n",
+       ":root {\n",
+       "  --xr-font-color0: var(\n",
+       "    --jp-content-font-color0,\n",
+       "    var(--pst-color-text-base rgba(0, 0, 0, 1))\n",
+       "  );\n",
+       "  --xr-font-color2: var(\n",
+       "    --jp-content-font-color2,\n",
+       "    var(--pst-color-text-base, rgba(0, 0, 0, 0.54))\n",
+       "  );\n",
+       "  --xr-font-color3: var(\n",
+       "    --jp-content-font-color3,\n",
+       "    var(--pst-color-text-base, rgba(0, 0, 0, 0.38))\n",
+       "  );\n",
+       "  --xr-border-color: var(\n",
+       "    --jp-border-color2,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 10))\n",
+       "  );\n",
+       "  --xr-disabled-color: var(\n",
+       "    --jp-layout-color3,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 40))\n",
+       "  );\n",
+       "  --xr-background-color: var(\n",
+       "    --jp-layout-color0,\n",
+       "    var(--pst-color-on-background, white)\n",
+       "  );\n",
+       "  --xr-background-color-row-even: var(\n",
+       "    --jp-layout-color1,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 5))\n",
+       "  );\n",
+       "  --xr-background-color-row-odd: var(\n",
+       "    --jp-layout-color2,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 15))\n",
+       "  );\n",
+       "}\n",
+       "\n",
+       "html[theme=\"dark\"],\n",
+       "html[data-theme=\"dark\"],\n",
+       "body[data-theme=\"dark\"],\n",
+       "body.vscode-dark {\n",
+       "  --xr-font-color0: var(\n",
+       "    --jp-content-font-color0,\n",
+       "    var(--pst-color-text-base, rgba(255, 255, 255, 1))\n",
+       "  );\n",
+       "  --xr-font-color2: var(\n",
+       "    --jp-content-font-color2,\n",
+       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.54))\n",
+       "  );\n",
+       "  --xr-font-color3: var(\n",
+       "    --jp-content-font-color3,\n",
+       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.38))\n",
+       "  );\n",
+       "  --xr-border-color: var(\n",
+       "    --jp-border-color2,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 10))\n",
+       "  );\n",
+       "  --xr-disabled-color: var(\n",
+       "    --jp-layout-color3,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 40))\n",
+       "  );\n",
+       "  --xr-background-color: var(\n",
+       "    --jp-layout-color0,\n",
+       "    var(--pst-color-on-background, #111111)\n",
+       "  );\n",
+       "  --xr-background-color-row-even: var(\n",
+       "    --jp-layout-color1,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 5))\n",
+       "  );\n",
+       "  --xr-background-color-row-odd: var(\n",
+       "    --jp-layout-color2,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 15))\n",
+       "  );\n",
+       "}\n",
+       "\n",
+       ".xr-wrap {\n",
+       "  display: block !important;\n",
+       "  min-width: 300px;\n",
+       "  max-width: 700px;\n",
+       "  line-height: 1.6;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-text-repr-fallback {\n",
+       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-header {\n",
+       "  padding-top: 6px;\n",
+       "  padding-bottom: 6px;\n",
+       "}\n",
+       "\n",
+       ".xr-header {\n",
+       "  border-bottom: solid 1px var(--xr-border-color);\n",
+       "  margin-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-header > div,\n",
+       ".xr-header > ul {\n",
+       "  display: inline;\n",
+       "  margin-top: 0;\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-obj-name {\n",
+       "  margin-left: 2px;\n",
+       "  margin-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-group-box-contents > label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-sections {\n",
+       "  padding-left: 0 !important;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
+       "  margin-block-start: 0;\n",
+       "  margin-block-end: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input,\n",
+       ".xr-group-box-contents > input,\n",
+       ".xr-array-wrap > input {\n",
+       "  display: block;\n",
+       "  opacity: 0;\n",
+       "  height: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input + label,\n",
+       ".xr-var-item > input + label {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input:enabled + label,\n",
+       ".xr-var-item > input:enabled + label,\n",
+       ".xr-array-wrap > input:enabled + label,\n",
+       ".xr-group-box-contents > input:enabled + label {\n",
+       "  cursor: pointer;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input:focus-visible + label,\n",
+       ".xr-var-item > input:focus-visible + label,\n",
+       ".xr-array-wrap > input:focus-visible + label,\n",
+       ".xr-group-box-contents > input:focus-visible + label {\n",
+       "  outline: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input:enabled + label:hover,\n",
+       ".xr-var-item > input:enabled + label:hover,\n",
+       ".xr-array-wrap > input:enabled + label:hover,\n",
+       ".xr-group-box-contents > input:enabled + label:hover {\n",
+       "  color: var(--xr-font-color0);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary {\n",
+       "  grid-column: 1;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  font-weight: 500;\n",
+       "  white-space: nowrap;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > em {\n",
+       "  font-weight: normal;\n",
+       "}\n",
+       "\n",
+       ".xr-span-grid {\n",
+       "  grid-column-end: -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.3em;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked + label > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.6em;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in + label:before {\n",
+       "  display: inline-block;\n",
+       "  content: \"►\";\n",
+       "  font-size: 11px;\n",
+       "  width: 15px;\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label:before {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label:before {\n",
+       "  content: \"▼\";\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary,\n",
+       ".xr-section-inline-details,\n",
+       ".xr-group-box-contents > label {\n",
+       "  padding-top: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-inline-details {\n",
+       "  grid-column: 2 / -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-details {\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-top: 4px;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in ~ .xr-section-details {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-children {\n",
+       "  display: inline-grid;\n",
+       "  grid-template-columns: 100%;\n",
+       "  grid-column: 1 / -1;\n",
+       "  padding-top: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box {\n",
+       "  display: inline-grid;\n",
+       "  grid-template-columns: 0px 30px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-vline {\n",
+       "  grid-column-start: 1;\n",
+       "  border-right: 0.2em solid;\n",
+       "  border-color: var(--xr-border-color);\n",
+       "  width: 0px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-hline {\n",
+       "  grid-column-start: 2;\n",
+       "  grid-row-start: 1;\n",
+       "  height: 1em;\n",
+       "  width: 26px;\n",
+       "  border-bottom: 0.2em solid;\n",
+       "  border-color: var(--xr-border-color);\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents {\n",
+       "  grid-column-start: 3;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > label::before {\n",
+       "  content: \"📂\";\n",
+       "  padding-right: 0.3em;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked + label::before {\n",
+       "  content: \"📁\";\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked + label {\n",
+       "  padding-bottom: 0px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked ~ .xr-sections {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-ellipsis {\n",
+       "  font-size: 1.4em;\n",
+       "  font-weight: 900;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  letter-spacing: 0.15em;\n",
+       "  cursor: default;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: \"(\";\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: \")\";\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: \",\";\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  border-color: var(--xr-background-color-row-odd);\n",
+       "  margin-bottom: 0;\n",
+       "  padding-top: 2px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "  border-color: var(--xr-background-color-row-even);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  border-top: 2px dotted var(--xr-background-color);\n",
+       "  padding-bottom: 20px !important;\n",
+       "  padding-top: 10px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in + label,\n",
+       ".xr-var-data-in + label,\n",
+       ".xr-index-data-in + label {\n",
+       "  padding: 0 1px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > pre,\n",
+       ".xr-index-data > pre,\n",
+       ".xr-var-data > table > tbody > tr {\n",
+       "  background-color: transparent !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
+       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
+       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
+       "  color: var(--xr-font-color0);\n",
+       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
+       "  stroke-width: 0.8px;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 1MB\n",
+       "Dimensions:        (chain: 4, draw: 1000, treated_units: 1, coeffs: 15,\n",
+       "                    obs_ind: 30)\n",
+       "Coordinates:\n",
+       "  * chain          (chain) int64 32B 0 1 2 3\n",
+       "  * draw           (draw) int64 8kB 0 1 2 3 4 5 6 ... 994 995 996 997 998 999\n",
+       "  * treated_units  (treated_units) &lt;U2 8B &#x27;UK&#x27;\n",
+       "  * coeffs         (coeffs) &lt;U11 660B &#x27;Australia&#x27; &#x27;Austria&#x27; ... &#x27;Switzerland&#x27;\n",
+       "  * obs_ind        (obs_ind) int64 240B 0 1 2 3 4 5 6 7 ... 23 24 25 26 27 28 29\n",
+       "Data variables:\n",
+       "    beta           (chain, draw, treated_units, coeffs) float64 480kB 0.00620...\n",
+       "    y_hat_sigma    (chain, draw, treated_units) float64 32kB 0.03949 ... 0.0257\n",
+       "    mu             (chain, draw, obs_ind, treated_units) float64 960kB 4.602 ...\n",
+       "Attributes:\n",
+       "    created_at:                 2026-04-17T23:31:10.885890+00:00\n",
+       "    arviz_version:              0.23.4\n",
+       "    inference_library:          pymc\n",
+       "    inference_library_version:  5.28.4\n",
+       "    sampling_time:              212.4672291278839\n",
+       "    tuning_steps:               1000</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-e5cf6050-7933-456b-9cef-a1d7130da053' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-e5cf6050-7933-456b-9cef-a1d7130da053' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>chain</span>: 4</li><li><span class='xr-has-index'>draw</span>: 1000</li><li><span class='xr-has-index'>treated_units</span>: 1</li><li><span class='xr-has-index'>coeffs</span>: 15</li><li><span class='xr-has-index'>obs_ind</span>: 30</li></ul></div></li><li class='xr-section-item'><input id='section-5a19f38e-c4f3-4670-af86-db05306e401f' class='xr-section-summary-in' type='checkbox' checked /><label for='section-5a19f38e-c4f3-4670-af86-db05306e401f' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>chain</span></div><div class='xr-var-dims'>(chain)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3</div><input id='attrs-a1b2c4a7-eb97-407a-bf9c-2bc2193d698e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a1b2c4a7-eb97-407a-bf9c-2bc2193d698e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1674ca29-1b10-4a27-9ff7-8dbaa95d6d62' class='xr-var-data-in' type='checkbox'><label for='data-1674ca29-1b10-4a27-9ff7-8dbaa95d6d62' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 1, 2, 3])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>draw</span></div><div class='xr-var-dims'>(draw)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 995 996 997 998 999</div><input id='attrs-cecacc20-68ce-4669-82b9-46764b7b1de3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-cecacc20-68ce-4669-82b9-46764b7b1de3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-21f668cc-51dc-4552-8f1d-59cd7f19085e' class='xr-var-data-in' type='checkbox'><label for='data-21f668cc-51dc-4552-8f1d-59cd7f19085e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([  0,   1,   2, ..., 997, 998, 999], shape=(1000,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>treated_units</span></div><div class='xr-var-dims'>(treated_units)</div><div class='xr-var-dtype'>&lt;U2</div><div class='xr-var-preview xr-preview'>&#x27;UK&#x27;</div><input id='attrs-16f829d1-be1f-4baa-9313-79e143288581' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-16f829d1-be1f-4baa-9313-79e143288581' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b4922cd9-9f82-4be8-a691-7578323790f0' class='xr-var-data-in' type='checkbox'><label for='data-b4922cd9-9f82-4be8-a691-7578323790f0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;UK&#x27;], dtype=&#x27;&lt;U2&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>coeffs</span></div><div class='xr-var-dims'>(coeffs)</div><div class='xr-var-dtype'>&lt;U11</div><div class='xr-var-preview xr-preview'>&#x27;Australia&#x27; ... &#x27;Switzerland&#x27;</div><input id='attrs-2230de88-7063-47fd-9415-da7604d4b2f3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2230de88-7063-47fd-9415-da7604d4b2f3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f4e4ea02-1fc8-4ddf-b831-56a1865c6608' class='xr-var-data-in' type='checkbox'><label for='data-f4e4ea02-1fc8-4ddf-b831-56a1865c6608' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;Australia&#x27;, &#x27;Austria&#x27;, &#x27;Belgium&#x27;, &#x27;Canada&#x27;, &#x27;Denmark&#x27;, &#x27;Finland&#x27;,\n",
+       "       &#x27;France&#x27;, &#x27;Germany&#x27;, &#x27;Iceland&#x27;, &#x27;Luxemburg&#x27;, &#x27;Netherlands&#x27;,\n",
+       "       &#x27;New_Zealand&#x27;, &#x27;Norway&#x27;, &#x27;Sweden&#x27;, &#x27;Switzerland&#x27;], dtype=&#x27;&lt;U11&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>obs_ind</span></div><div class='xr-var-dims'>(obs_ind)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 24 25 26 27 28 29</div><input id='attrs-44db4853-69bc-4d4f-a76f-d14e1cb65193' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-44db4853-69bc-4d4f-a76f-d14e1cb65193' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-922c42fb-708e-43ec-87e1-83856ef4b14c' class='xr-var-data-in' type='checkbox'><label for='data-922c42fb-708e-43ec-87e1-83856ef4b14c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
+       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-92e33032-1fa0-4728-8937-63a9eaf9c7ef' class='xr-section-summary-in' type='checkbox' checked /><label for='section-92e33032-1fa0-4728-8937-63a9eaf9c7ef' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>beta</span></div><div class='xr-var-dims'>(chain, draw, treated_units, coeffs)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.006207 0.03125 ... 0.03133</div><input id='attrs-600b0685-084f-4b89-896a-17c55c3b48a4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-600b0685-084f-4b89-896a-17c55c3b48a4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-59e83a97-de44-4eaf-a857-6f074504d3e5' class='xr-var-data-in' type='checkbox'><label for='data-59e83a97-de44-4eaf-a857-6f074504d3e5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[[0.00620744, 0.03125386, 0.08994519, ..., 0.08163829,\n",
+       "          0.08977201, 0.0225422 ]],\n",
+       "\n",
+       "        [[0.01080249, 0.16281908, 0.04096507, ..., 0.10437898,\n",
+       "          0.13697613, 0.01980949]],\n",
+       "\n",
+       "        [[0.01401879, 0.13470451, 0.05134781, ..., 0.10100924,\n",
+       "          0.12716512, 0.01890638]],\n",
+       "\n",
+       "        ...,\n",
+       "\n",
+       "        [[0.11659744, 0.08495306, 0.05290018, ..., 0.13365975,\n",
+       "          0.10500325, 0.0335926 ]],\n",
+       "\n",
+       "        [[0.15572738, 0.12135924, 0.01602651, ..., 0.13601835,\n",
+       "          0.09943574, 0.07954026]],\n",
+       "\n",
+       "        [[0.04667206, 0.05334065, 0.00534918, ..., 0.16680382,\n",
+       "          0.17905824, 0.00084897]]],\n",
+       "\n",
+       "...\n",
+       "\n",
+       "       [[[0.16385198, 0.00218848, 0.01552012, ..., 0.10018523,\n",
+       "          0.04995877, 0.10305232]],\n",
+       "\n",
+       "        [[0.21492699, 0.00580065, 0.039249  , ..., 0.03911886,\n",
+       "          0.05031435, 0.01975023]],\n",
+       "\n",
+       "        [[0.22342114, 0.00375335, 0.05441969, ..., 0.0992683 ,\n",
+       "          0.05105679, 0.02092803]],\n",
+       "\n",
+       "        ...,\n",
+       "\n",
+       "        [[0.20994356, 0.09030541, 0.01713321, ..., 0.0843192 ,\n",
+       "          0.09735313, 0.07058068]],\n",
+       "\n",
+       "        [[0.05521638, 0.04201303, 0.03322256, ..., 0.1522939 ,\n",
+       "          0.1360232 , 0.05569259]],\n",
+       "\n",
+       "        [[0.16240582, 0.02403299, 0.06793599, ..., 0.07175626,\n",
+       "          0.07835209, 0.03133056]]]], shape=(4, 1000, 1, 15))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>y_hat_sigma</span></div><div class='xr-var-dims'>(chain, draw, treated_units)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.03949 0.04057 ... 0.02486 0.0257</div><input id='attrs-c9b644a5-49e2-4eb7-b98c-3d4c73314354' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c9b644a5-49e2-4eb7-b98c-3d4c73314354' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ed69bbad-c5f2-4dab-a484-43a56c2ae647' class='xr-var-data-in' type='checkbox'><label for='data-ed69bbad-c5f2-4dab-a484-43a56c2ae647' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[0.03948637],\n",
+       "        [0.04057319],\n",
+       "        [0.03886839],\n",
+       "        ...,\n",
+       "        [0.02688338],\n",
+       "        [0.02612344],\n",
+       "        [0.03401934]],\n",
+       "\n",
+       "       [[0.02578419],\n",
+       "        [0.02994794],\n",
+       "        [0.02773946],\n",
+       "        ...,\n",
+       "        [0.04017355],\n",
+       "        [0.03412375],\n",
+       "        [0.02820577]],\n",
+       "\n",
+       "       [[0.02783684],\n",
+       "        [0.0238818 ],\n",
+       "        [0.02591739],\n",
+       "        ...,\n",
+       "        [0.03250477],\n",
+       "        [0.03231063],\n",
+       "        [0.02989538]],\n",
+       "\n",
+       "       [[0.04314528],\n",
+       "        [0.0374262 ],\n",
+       "        [0.03496334],\n",
+       "        ...,\n",
+       "        [0.02967378],\n",
+       "        [0.02485563],\n",
+       "        [0.02569827]]], shape=(4, 1000, 1))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mu</span></div><div class='xr-var-dims'>(chain, draw, obs_ind, treated_units)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.602 4.579 4.598 ... 5.259 5.335</div><input id='attrs-a91b636b-9584-49cc-89e2-ae8ef54f7c3b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a91b636b-9584-49cc-89e2-ae8ef54f7c3b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-43e21778-6901-4cf8-9ca4-09e75730e04c' class='xr-var-data-in' type='checkbox'><label for='data-43e21778-6901-4cf8-9ca4-09e75730e04c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[[4.60213512],\n",
+       "         [4.57856822],\n",
+       "         [4.5984334 ],\n",
+       "         ...,\n",
+       "         [5.25946589],\n",
+       "         [5.26143498],\n",
+       "         [5.29587758]],\n",
+       "\n",
+       "        [[4.6076876 ],\n",
+       "         [4.59384884],\n",
+       "         [4.61421737],\n",
+       "         ...,\n",
+       "         [5.24771162],\n",
+       "         [5.22584743],\n",
+       "         [5.30223329]],\n",
+       "\n",
+       "        [[4.635133  ],\n",
+       "         [4.62147972],\n",
+       "         [4.64407401],\n",
+       "         ...,\n",
+       "...\n",
+       "         ...,\n",
+       "         [5.28035128],\n",
+       "         [5.27327954],\n",
+       "         [5.34651659]],\n",
+       "\n",
+       "        [[4.59856095],\n",
+       "         [4.57867542],\n",
+       "         [4.59501078],\n",
+       "         ...,\n",
+       "         [5.25214381],\n",
+       "         [5.24463222],\n",
+       "         [5.2967629 ]],\n",
+       "\n",
+       "        [[4.60480637],\n",
+       "         [4.58778713],\n",
+       "         [4.61115979],\n",
+       "         ...,\n",
+       "         [5.26645761],\n",
+       "         [5.25879112],\n",
+       "         [5.33530893]]]], shape=(4, 1000, 30, 1))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d104c7e3-c1c8-443f-b77e-6d0ffef6e090' class='xr-section-summary-in' type='checkbox' checked /><label for='section-d104c7e3-c1c8-443f-b77e-6d0ffef6e090' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>created_at :</span></dt><dd>2026-04-17T23:31:10.885890+00:00</dd><dt><span>arviz_version :</span></dt><dd>0.23.4</dd><dt><span>inference_library :</span></dt><dd>pymc</dd><dt><span>inference_library_version :</span></dt><dd>5.28.4</dd><dt><span>sampling_time :</span></dt><dd>212.4672291278839</dd><dt><span>tuning_steps :</span></dt><dd>1000</dd></dl></div></li></ul></div></div><br></div>\n",
+       "                      </ul>\n",
+       "                  </div>\n",
+       "            </li>\n",
+       "            \n",
+       "            <li class = \"xr-section-item\">\n",
+       "                  <input id=\"idata_posterior_predictive074bd2f2-4381-47bf-b5ed-91cf0f524d7f\" class=\"xr-section-summary-in\" type=\"checkbox\">\n",
+       "                  <label for=\"idata_posterior_predictive074bd2f2-4381-47bf-b5ed-91cf0f524d7f\" class = \"xr-section-summary\">posterior_predictive</label>\n",
+       "                  <div class=\"xr-section-inline-details\"></div>\n",
+       "                  <div class=\"xr-section-details\">\n",
+       "                      <ul id=\"xr-dataset-coord-list\" class=\"xr-var-list\">\n",
+       "                          <div style=\"padding-left:2rem;\"><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "<defs>\n",
+       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
+       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
+       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
+       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
+       "</symbol>\n",
+       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
+       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
+       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "</symbol>\n",
+       "</defs>\n",
+       "</svg>\n",
+       "<style>/* CSS stylesheet for displaying xarray objects in notebooks */\n",
+       "\n",
+       ":root {\n",
+       "  --xr-font-color0: var(\n",
+       "    --jp-content-font-color0,\n",
+       "    var(--pst-color-text-base rgba(0, 0, 0, 1))\n",
+       "  );\n",
+       "  --xr-font-color2: var(\n",
+       "    --jp-content-font-color2,\n",
+       "    var(--pst-color-text-base, rgba(0, 0, 0, 0.54))\n",
+       "  );\n",
+       "  --xr-font-color3: var(\n",
+       "    --jp-content-font-color3,\n",
+       "    var(--pst-color-text-base, rgba(0, 0, 0, 0.38))\n",
+       "  );\n",
+       "  --xr-border-color: var(\n",
+       "    --jp-border-color2,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 10))\n",
+       "  );\n",
+       "  --xr-disabled-color: var(\n",
+       "    --jp-layout-color3,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 40))\n",
+       "  );\n",
+       "  --xr-background-color: var(\n",
+       "    --jp-layout-color0,\n",
+       "    var(--pst-color-on-background, white)\n",
+       "  );\n",
+       "  --xr-background-color-row-even: var(\n",
+       "    --jp-layout-color1,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 5))\n",
+       "  );\n",
+       "  --xr-background-color-row-odd: var(\n",
+       "    --jp-layout-color2,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 15))\n",
+       "  );\n",
+       "}\n",
+       "\n",
+       "html[theme=\"dark\"],\n",
+       "html[data-theme=\"dark\"],\n",
+       "body[data-theme=\"dark\"],\n",
+       "body.vscode-dark {\n",
+       "  --xr-font-color0: var(\n",
+       "    --jp-content-font-color0,\n",
+       "    var(--pst-color-text-base, rgba(255, 255, 255, 1))\n",
+       "  );\n",
+       "  --xr-font-color2: var(\n",
+       "    --jp-content-font-color2,\n",
+       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.54))\n",
+       "  );\n",
+       "  --xr-font-color3: var(\n",
+       "    --jp-content-font-color3,\n",
+       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.38))\n",
+       "  );\n",
+       "  --xr-border-color: var(\n",
+       "    --jp-border-color2,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 10))\n",
+       "  );\n",
+       "  --xr-disabled-color: var(\n",
+       "    --jp-layout-color3,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 40))\n",
+       "  );\n",
+       "  --xr-background-color: var(\n",
+       "    --jp-layout-color0,\n",
+       "    var(--pst-color-on-background, #111111)\n",
+       "  );\n",
+       "  --xr-background-color-row-even: var(\n",
+       "    --jp-layout-color1,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 5))\n",
+       "  );\n",
+       "  --xr-background-color-row-odd: var(\n",
+       "    --jp-layout-color2,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 15))\n",
+       "  );\n",
+       "}\n",
+       "\n",
+       ".xr-wrap {\n",
+       "  display: block !important;\n",
+       "  min-width: 300px;\n",
+       "  max-width: 700px;\n",
+       "  line-height: 1.6;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-text-repr-fallback {\n",
+       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-header {\n",
+       "  padding-top: 6px;\n",
+       "  padding-bottom: 6px;\n",
+       "}\n",
+       "\n",
+       ".xr-header {\n",
+       "  border-bottom: solid 1px var(--xr-border-color);\n",
+       "  margin-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-header > div,\n",
+       ".xr-header > ul {\n",
+       "  display: inline;\n",
+       "  margin-top: 0;\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-obj-name {\n",
+       "  margin-left: 2px;\n",
+       "  margin-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-group-box-contents > label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-sections {\n",
+       "  padding-left: 0 !important;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
+       "  margin-block-start: 0;\n",
+       "  margin-block-end: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input,\n",
+       ".xr-group-box-contents > input,\n",
+       ".xr-array-wrap > input {\n",
+       "  display: block;\n",
+       "  opacity: 0;\n",
+       "  height: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input + label,\n",
+       ".xr-var-item > input + label {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input:enabled + label,\n",
+       ".xr-var-item > input:enabled + label,\n",
+       ".xr-array-wrap > input:enabled + label,\n",
+       ".xr-group-box-contents > input:enabled + label {\n",
+       "  cursor: pointer;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input:focus-visible + label,\n",
+       ".xr-var-item > input:focus-visible + label,\n",
+       ".xr-array-wrap > input:focus-visible + label,\n",
+       ".xr-group-box-contents > input:focus-visible + label {\n",
+       "  outline: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input:enabled + label:hover,\n",
+       ".xr-var-item > input:enabled + label:hover,\n",
+       ".xr-array-wrap > input:enabled + label:hover,\n",
+       ".xr-group-box-contents > input:enabled + label:hover {\n",
+       "  color: var(--xr-font-color0);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary {\n",
+       "  grid-column: 1;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  font-weight: 500;\n",
+       "  white-space: nowrap;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > em {\n",
+       "  font-weight: normal;\n",
+       "}\n",
+       "\n",
+       ".xr-span-grid {\n",
+       "  grid-column-end: -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.3em;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked + label > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.6em;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in + label:before {\n",
+       "  display: inline-block;\n",
+       "  content: \"►\";\n",
+       "  font-size: 11px;\n",
+       "  width: 15px;\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label:before {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label:before {\n",
+       "  content: \"▼\";\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary,\n",
+       ".xr-section-inline-details,\n",
+       ".xr-group-box-contents > label {\n",
+       "  padding-top: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-inline-details {\n",
+       "  grid-column: 2 / -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-details {\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-top: 4px;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in ~ .xr-section-details {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-children {\n",
+       "  display: inline-grid;\n",
+       "  grid-template-columns: 100%;\n",
+       "  grid-column: 1 / -1;\n",
+       "  padding-top: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box {\n",
+       "  display: inline-grid;\n",
+       "  grid-template-columns: 0px 30px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-vline {\n",
+       "  grid-column-start: 1;\n",
+       "  border-right: 0.2em solid;\n",
+       "  border-color: var(--xr-border-color);\n",
+       "  width: 0px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-hline {\n",
+       "  grid-column-start: 2;\n",
+       "  grid-row-start: 1;\n",
+       "  height: 1em;\n",
+       "  width: 26px;\n",
+       "  border-bottom: 0.2em solid;\n",
+       "  border-color: var(--xr-border-color);\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents {\n",
+       "  grid-column-start: 3;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > label::before {\n",
+       "  content: \"📂\";\n",
+       "  padding-right: 0.3em;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked + label::before {\n",
+       "  content: \"📁\";\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked + label {\n",
+       "  padding-bottom: 0px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked ~ .xr-sections {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-ellipsis {\n",
+       "  font-size: 1.4em;\n",
+       "  font-weight: 900;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  letter-spacing: 0.15em;\n",
+       "  cursor: default;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: \"(\";\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: \")\";\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: \",\";\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  border-color: var(--xr-background-color-row-odd);\n",
+       "  margin-bottom: 0;\n",
+       "  padding-top: 2px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "  border-color: var(--xr-background-color-row-even);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  border-top: 2px dotted var(--xr-background-color);\n",
+       "  padding-bottom: 20px !important;\n",
+       "  padding-top: 10px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in + label,\n",
+       ".xr-var-data-in + label,\n",
+       ".xr-index-data-in + label {\n",
+       "  padding: 0 1px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > pre,\n",
+       ".xr-index-data > pre,\n",
+       ".xr-var-data > table > tbody > tr {\n",
+       "  background-color: transparent !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
+       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
+       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
+       "  color: var(--xr-font-color0);\n",
+       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
+       "  stroke-width: 0.8px;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 968kB\n",
+       "Dimensions:        (chain: 4, draw: 1000, obs_ind: 30, treated_units: 1)\n",
+       "Coordinates:\n",
+       "  * chain          (chain) int64 32B 0 1 2 3\n",
+       "  * draw           (draw) int64 8kB 0 1 2 3 4 5 6 ... 994 995 996 997 998 999\n",
+       "  * obs_ind        (obs_ind) int64 240B 0 1 2 3 4 5 6 7 ... 23 24 25 26 27 28 29\n",
+       "  * treated_units  (treated_units) &lt;U2 8B &#x27;UK&#x27;\n",
+       "Data variables:\n",
+       "    y_hat          (chain, draw, obs_ind, treated_units) float64 960kB 4.619 ...\n",
+       "Attributes:\n",
+       "    created_at:                 2026-04-17T23:31:11.527969+00:00\n",
+       "    arviz_version:              0.23.4\n",
+       "    inference_library:          pymc\n",
+       "    inference_library_version:  5.28.4</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-623de88f-4f8a-405a-823d-491010c4ab53' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-623de88f-4f8a-405a-823d-491010c4ab53' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>chain</span>: 4</li><li><span class='xr-has-index'>draw</span>: 1000</li><li><span class='xr-has-index'>obs_ind</span>: 30</li><li><span class='xr-has-index'>treated_units</span>: 1</li></ul></div></li><li class='xr-section-item'><input id='section-9186249f-de14-486f-a0fd-818724d0768c' class='xr-section-summary-in' type='checkbox' checked /><label for='section-9186249f-de14-486f-a0fd-818724d0768c' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>chain</span></div><div class='xr-var-dims'>(chain)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3</div><input id='attrs-8036e756-c174-4e05-ba7e-3dcb925d4b22' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8036e756-c174-4e05-ba7e-3dcb925d4b22' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f57540f6-5e11-45e7-bccd-ef7122411bce' class='xr-var-data-in' type='checkbox'><label for='data-f57540f6-5e11-45e7-bccd-ef7122411bce' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 1, 2, 3])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>draw</span></div><div class='xr-var-dims'>(draw)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 995 996 997 998 999</div><input id='attrs-58fea97d-02b3-4797-9c78-634a288fd332' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-58fea97d-02b3-4797-9c78-634a288fd332' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7e7765c4-7e52-4acb-9d84-fabcf2790d43' class='xr-var-data-in' type='checkbox'><label for='data-7e7765c4-7e52-4acb-9d84-fabcf2790d43' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([  0,   1,   2, ..., 997, 998, 999], shape=(1000,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>obs_ind</span></div><div class='xr-var-dims'>(obs_ind)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 24 25 26 27 28 29</div><input id='attrs-f55f2280-2acb-4750-9a33-fd29cb818f81' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f55f2280-2acb-4750-9a33-fd29cb818f81' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-018968ce-8f63-4d48-adea-998232a98f7a' class='xr-var-data-in' type='checkbox'><label for='data-018968ce-8f63-4d48-adea-998232a98f7a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
+       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>treated_units</span></div><div class='xr-var-dims'>(treated_units)</div><div class='xr-var-dtype'>&lt;U2</div><div class='xr-var-preview xr-preview'>&#x27;UK&#x27;</div><input id='attrs-08ff0d02-418f-4409-88e0-2b9b52548fff' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-08ff0d02-418f-4409-88e0-2b9b52548fff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fb7dedf9-b83c-4562-bb04-26f7f854470b' class='xr-var-data-in' type='checkbox'><label for='data-fb7dedf9-b83c-4562-bb04-26f7f854470b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;UK&#x27;], dtype=&#x27;&lt;U2&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-57f1c883-d4e3-461d-8d32-79e48fb0488b' class='xr-section-summary-in' type='checkbox' checked /><label for='section-57f1c883-d4e3-461d-8d32-79e48fb0488b' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>y_hat</span></div><div class='xr-var-dims'>(chain, draw, obs_ind, treated_units)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.619 4.602 4.6 ... 5.281 5.347</div><input id='attrs-47735a06-0efc-47f5-ab97-4899658f5ce4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-47735a06-0efc-47f5-ab97-4899658f5ce4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-95375a34-6746-4222-9a37-b32cb7aad328' class='xr-var-data-in' type='checkbox'><label for='data-95375a34-6746-4222-9a37-b32cb7aad328' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[[4.61865345],\n",
+       "         [4.60248022],\n",
+       "         [4.59957013],\n",
+       "         ...,\n",
+       "         [5.27062727],\n",
+       "         [5.22171366],\n",
+       "         [5.29660855]],\n",
+       "\n",
+       "        [[4.55724866],\n",
+       "         [4.6994761 ],\n",
+       "         [4.62035983],\n",
+       "         ...,\n",
+       "         [5.30378894],\n",
+       "         [5.24957172],\n",
+       "         [5.2815511 ]],\n",
+       "\n",
+       "        [[4.64490193],\n",
+       "         [4.63726873],\n",
+       "         [4.67771995],\n",
+       "         ...,\n",
+       "...\n",
+       "         ...,\n",
+       "         [5.28435912],\n",
+       "         [5.22572455],\n",
+       "         [5.3620035 ]],\n",
+       "\n",
+       "        [[4.57965513],\n",
+       "         [4.56317496],\n",
+       "         [4.58568471],\n",
+       "         ...,\n",
+       "         [5.20856677],\n",
+       "         [5.18301941],\n",
+       "         [5.26882876]],\n",
+       "\n",
+       "        [[4.61373409],\n",
+       "         [4.58718933],\n",
+       "         [4.64177496],\n",
+       "         ...,\n",
+       "         [5.27577704],\n",
+       "         [5.28074681],\n",
+       "         [5.34714415]]]], shape=(4, 1000, 30, 1))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a5374c77-add6-4ca8-b921-11d2afa5d6c4' class='xr-section-summary-in' type='checkbox' checked /><label for='section-a5374c77-add6-4ca8-b921-11d2afa5d6c4' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>created_at :</span></dt><dd>2026-04-17T23:31:11.527969+00:00</dd><dt><span>arviz_version :</span></dt><dd>0.23.4</dd><dt><span>inference_library :</span></dt><dd>pymc</dd><dt><span>inference_library_version :</span></dt><dd>5.28.4</dd></dl></div></li></ul></div></div><br></div>\n",
+       "                      </ul>\n",
+       "                  </div>\n",
+       "            </li>\n",
+       "            \n",
+       "            <li class = \"xr-section-item\">\n",
+       "                  <input id=\"idata_sample_stats0ec29d8c-524b-40f0-b0d6-baab4c95b4f5\" class=\"xr-section-summary-in\" type=\"checkbox\">\n",
+       "                  <label for=\"idata_sample_stats0ec29d8c-524b-40f0-b0d6-baab4c95b4f5\" class = \"xr-section-summary\">sample_stats</label>\n",
+       "                  <div class=\"xr-section-inline-details\"></div>\n",
+       "                  <div class=\"xr-section-details\">\n",
+       "                      <ul id=\"xr-dataset-coord-list\" class=\"xr-var-list\">\n",
+       "                          <div style=\"padding-left:2rem;\"><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "<defs>\n",
+       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
+       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
+       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
+       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
+       "</symbol>\n",
+       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
+       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
+       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "</symbol>\n",
+       "</defs>\n",
+       "</svg>\n",
+       "<style>/* CSS stylesheet for displaying xarray objects in notebooks */\n",
+       "\n",
+       ":root {\n",
+       "  --xr-font-color0: var(\n",
+       "    --jp-content-font-color0,\n",
+       "    var(--pst-color-text-base rgba(0, 0, 0, 1))\n",
+       "  );\n",
+       "  --xr-font-color2: var(\n",
+       "    --jp-content-font-color2,\n",
+       "    var(--pst-color-text-base, rgba(0, 0, 0, 0.54))\n",
+       "  );\n",
+       "  --xr-font-color3: var(\n",
+       "    --jp-content-font-color3,\n",
+       "    var(--pst-color-text-base, rgba(0, 0, 0, 0.38))\n",
+       "  );\n",
+       "  --xr-border-color: var(\n",
+       "    --jp-border-color2,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 10))\n",
+       "  );\n",
+       "  --xr-disabled-color: var(\n",
+       "    --jp-layout-color3,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 40))\n",
+       "  );\n",
+       "  --xr-background-color: var(\n",
+       "    --jp-layout-color0,\n",
+       "    var(--pst-color-on-background, white)\n",
+       "  );\n",
+       "  --xr-background-color-row-even: var(\n",
+       "    --jp-layout-color1,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 5))\n",
+       "  );\n",
+       "  --xr-background-color-row-odd: var(\n",
+       "    --jp-layout-color2,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 15))\n",
+       "  );\n",
+       "}\n",
+       "\n",
+       "html[theme=\"dark\"],\n",
+       "html[data-theme=\"dark\"],\n",
+       "body[data-theme=\"dark\"],\n",
+       "body.vscode-dark {\n",
+       "  --xr-font-color0: var(\n",
+       "    --jp-content-font-color0,\n",
+       "    var(--pst-color-text-base, rgba(255, 255, 255, 1))\n",
+       "  );\n",
+       "  --xr-font-color2: var(\n",
+       "    --jp-content-font-color2,\n",
+       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.54))\n",
+       "  );\n",
+       "  --xr-font-color3: var(\n",
+       "    --jp-content-font-color3,\n",
+       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.38))\n",
+       "  );\n",
+       "  --xr-border-color: var(\n",
+       "    --jp-border-color2,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 10))\n",
+       "  );\n",
+       "  --xr-disabled-color: var(\n",
+       "    --jp-layout-color3,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 40))\n",
+       "  );\n",
+       "  --xr-background-color: var(\n",
+       "    --jp-layout-color0,\n",
+       "    var(--pst-color-on-background, #111111)\n",
+       "  );\n",
+       "  --xr-background-color-row-even: var(\n",
+       "    --jp-layout-color1,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 5))\n",
+       "  );\n",
+       "  --xr-background-color-row-odd: var(\n",
+       "    --jp-layout-color2,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 15))\n",
+       "  );\n",
+       "}\n",
+       "\n",
+       ".xr-wrap {\n",
+       "  display: block !important;\n",
+       "  min-width: 300px;\n",
+       "  max-width: 700px;\n",
+       "  line-height: 1.6;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-text-repr-fallback {\n",
+       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-header {\n",
+       "  padding-top: 6px;\n",
+       "  padding-bottom: 6px;\n",
+       "}\n",
+       "\n",
+       ".xr-header {\n",
+       "  border-bottom: solid 1px var(--xr-border-color);\n",
+       "  margin-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-header > div,\n",
+       ".xr-header > ul {\n",
+       "  display: inline;\n",
+       "  margin-top: 0;\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-obj-name {\n",
+       "  margin-left: 2px;\n",
+       "  margin-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-group-box-contents > label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-sections {\n",
+       "  padding-left: 0 !important;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
+       "  margin-block-start: 0;\n",
+       "  margin-block-end: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input,\n",
+       ".xr-group-box-contents > input,\n",
+       ".xr-array-wrap > input {\n",
+       "  display: block;\n",
+       "  opacity: 0;\n",
+       "  height: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input + label,\n",
+       ".xr-var-item > input + label {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input:enabled + label,\n",
+       ".xr-var-item > input:enabled + label,\n",
+       ".xr-array-wrap > input:enabled + label,\n",
+       ".xr-group-box-contents > input:enabled + label {\n",
+       "  cursor: pointer;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input:focus-visible + label,\n",
+       ".xr-var-item > input:focus-visible + label,\n",
+       ".xr-array-wrap > input:focus-visible + label,\n",
+       ".xr-group-box-contents > input:focus-visible + label {\n",
+       "  outline: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input:enabled + label:hover,\n",
+       ".xr-var-item > input:enabled + label:hover,\n",
+       ".xr-array-wrap > input:enabled + label:hover,\n",
+       ".xr-group-box-contents > input:enabled + label:hover {\n",
+       "  color: var(--xr-font-color0);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary {\n",
+       "  grid-column: 1;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  font-weight: 500;\n",
+       "  white-space: nowrap;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > em {\n",
+       "  font-weight: normal;\n",
+       "}\n",
+       "\n",
+       ".xr-span-grid {\n",
+       "  grid-column-end: -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.3em;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked + label > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.6em;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in + label:before {\n",
+       "  display: inline-block;\n",
+       "  content: \"►\";\n",
+       "  font-size: 11px;\n",
+       "  width: 15px;\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label:before {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label:before {\n",
+       "  content: \"▼\";\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary,\n",
+       ".xr-section-inline-details,\n",
+       ".xr-group-box-contents > label {\n",
+       "  padding-top: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-inline-details {\n",
+       "  grid-column: 2 / -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-details {\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-top: 4px;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in ~ .xr-section-details {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-children {\n",
+       "  display: inline-grid;\n",
+       "  grid-template-columns: 100%;\n",
+       "  grid-column: 1 / -1;\n",
+       "  padding-top: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box {\n",
+       "  display: inline-grid;\n",
+       "  grid-template-columns: 0px 30px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-vline {\n",
+       "  grid-column-start: 1;\n",
+       "  border-right: 0.2em solid;\n",
+       "  border-color: var(--xr-border-color);\n",
+       "  width: 0px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-hline {\n",
+       "  grid-column-start: 2;\n",
+       "  grid-row-start: 1;\n",
+       "  height: 1em;\n",
+       "  width: 26px;\n",
+       "  border-bottom: 0.2em solid;\n",
+       "  border-color: var(--xr-border-color);\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents {\n",
+       "  grid-column-start: 3;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > label::before {\n",
+       "  content: \"📂\";\n",
+       "  padding-right: 0.3em;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked + label::before {\n",
+       "  content: \"📁\";\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked + label {\n",
+       "  padding-bottom: 0px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked ~ .xr-sections {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-ellipsis {\n",
+       "  font-size: 1.4em;\n",
+       "  font-weight: 900;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  letter-spacing: 0.15em;\n",
+       "  cursor: default;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: \"(\";\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: \")\";\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: \",\";\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  border-color: var(--xr-background-color-row-odd);\n",
+       "  margin-bottom: 0;\n",
+       "  padding-top: 2px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "  border-color: var(--xr-background-color-row-even);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  border-top: 2px dotted var(--xr-background-color);\n",
+       "  padding-bottom: 20px !important;\n",
+       "  padding-top: 10px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in + label,\n",
+       ".xr-var-data-in + label,\n",
+       ".xr-index-data-in + label {\n",
+       "  padding: 0 1px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > pre,\n",
+       ".xr-index-data > pre,\n",
+       ".xr-var-data > table > tbody > tr {\n",
+       "  background-color: transparent !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
+       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
+       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
+       "  color: var(--xr-font-color0);\n",
+       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
+       "  stroke-width: 0.8px;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 528kB\n",
+       "Dimensions:                (chain: 4, draw: 1000)\n",
+       "Coordinates:\n",
+       "  * chain                  (chain) int64 32B 0 1 2 3\n",
+       "  * draw                   (draw) int64 8kB 0 1 2 3 4 5 ... 995 996 997 998 999\n",
+       "Data variables: (12/18)\n",
+       "    tree_depth             (chain, draw) int64 32kB 10 10 10 10 ... 10 10 10 10\n",
+       "    diverging              (chain, draw) bool 4kB False False ... False False\n",
+       "    reached_max_treedepth  (chain, draw) bool 4kB True True True ... True False\n",
+       "    index_in_trajectory    (chain, draw) int64 32kB -498 -663 -138 ... -574 558\n",
+       "    acceptance_rate        (chain, draw) float64 32kB 0.9948 0.9994 ... 0.9979\n",
+       "    max_energy_error       (chain, draw) float64 32kB -0.2828 ... -0.2962\n",
+       "    ...                     ...\n",
+       "    perf_counter_diff      (chain, draw) float64 32kB 0.1254 0.08706 ... 0.07097\n",
+       "    largest_eigval         (chain, draw) float64 32kB nan nan nan ... nan nan\n",
+       "    energy_error           (chain, draw) float64 32kB 0.01965 ... -0.02365\n",
+       "    process_time_diff      (chain, draw) float64 32kB 0.1014 0.08222 ... 0.07026\n",
+       "    perf_counter_start     (chain, draw) float64 32kB 8.29e+04 ... 8.303e+04\n",
+       "    step_size_bar          (chain, draw) float64 32kB 0.002023 ... 0.001745\n",
+       "Attributes:\n",
+       "    created_at:                 2026-04-17T23:31:10.904696+00:00\n",
+       "    arviz_version:              0.23.4\n",
+       "    inference_library:          pymc\n",
+       "    inference_library_version:  5.28.4\n",
+       "    sampling_time:              212.4672291278839\n",
+       "    tuning_steps:               1000</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-8898737d-3511-4c1f-bf52-e077c42988ee' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-8898737d-3511-4c1f-bf52-e077c42988ee' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>chain</span>: 4</li><li><span class='xr-has-index'>draw</span>: 1000</li></ul></div></li><li class='xr-section-item'><input id='section-a7736371-c899-4eeb-996a-0500d4d16f38' class='xr-section-summary-in' type='checkbox' checked /><label for='section-a7736371-c899-4eeb-996a-0500d4d16f38' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>chain</span></div><div class='xr-var-dims'>(chain)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3</div><input id='attrs-381c8aa4-8894-447f-ab68-e32ae8f02de2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-381c8aa4-8894-447f-ab68-e32ae8f02de2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b69813ba-85ab-4219-98fb-d8300158e2a2' class='xr-var-data-in' type='checkbox'><label for='data-b69813ba-85ab-4219-98fb-d8300158e2a2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 1, 2, 3])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>draw</span></div><div class='xr-var-dims'>(draw)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 995 996 997 998 999</div><input id='attrs-ef566bbe-47d7-4fa6-8e40-e3934ebde17f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ef566bbe-47d7-4fa6-8e40-e3934ebde17f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-37e544f2-8536-46ec-b04e-9bd6980003a5' class='xr-var-data-in' type='checkbox'><label for='data-37e544f2-8536-46ec-b04e-9bd6980003a5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([  0,   1,   2, ..., 997, 998, 999], shape=(1000,))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-dd09f6da-55fd-44f7-8260-1f0e801e49a8' class='xr-section-summary-in' type='checkbox' /><label for='section-dd09f6da-55fd-44f7-8260-1f0e801e49a8' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(18)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>tree_depth</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>10 10 10 10 10 ... 10 10 10 10 10</div><input id='attrs-ba56c9ba-b1f1-4393-abf4-897634366596' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ba56c9ba-b1f1-4393-abf4-897634366596' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1a5a9bba-b854-4eab-b5ea-271d9f843a06' class='xr-var-data-in' type='checkbox'><label for='data-1a5a9bba-b854-4eab-b5ea-271d9f843a06' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[10, 10, 10, ..., 10, 10, 10],\n",
+       "       [10, 10, 10, ..., 10, 10, 10],\n",
+       "       [10, 10, 10, ..., 10, 10, 10],\n",
+       "       [10, 10, 10, ..., 10, 10, 10]], shape=(4, 1000))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>diverging</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>bool</div><div class='xr-var-preview xr-preview'>False False False ... False False</div><input id='attrs-3e1cd401-7f5d-4b8b-9fef-068f7a1e35c0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3e1cd401-7f5d-4b8b-9fef-068f7a1e35c0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d1e486a7-2f71-4381-a32e-511498cc5c60' class='xr-var-data-in' type='checkbox'><label for='data-d1e486a7-2f71-4381-a32e-511498cc5c60' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[False, False, False, ..., False, False, False],\n",
+       "       [False, False, False, ..., False, False, False],\n",
+       "       [False, False, False, ..., False, False, False],\n",
+       "       [False, False, False, ..., False, False, False]], shape=(4, 1000))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>reached_max_treedepth</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>bool</div><div class='xr-var-preview xr-preview'>True True True ... False True False</div><input id='attrs-8c5f0c88-6bd6-4cdd-bb48-f219dec10a2d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8c5f0c88-6bd6-4cdd-bb48-f219dec10a2d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5921d0aa-9d06-4a3e-8917-404bcf654cba' class='xr-var-data-in' type='checkbox'><label for='data-5921d0aa-9d06-4a3e-8917-404bcf654cba' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ True,  True,  True, ...,  True,  True, False],\n",
+       "       [ True,  True, False, ..., False,  True,  True],\n",
+       "       [ True,  True,  True, ...,  True,  True,  True],\n",
+       "       [False, False,  True, ..., False,  True, False]], shape=(4, 1000))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>index_in_trajectory</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>-498 -663 -138 ... -388 -574 558</div><input id='attrs-39d0e2fd-1004-44d6-90b8-bd8cafb1254c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-39d0e2fd-1004-44d6-90b8-bd8cafb1254c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-366453b7-743f-441b-a5dd-7b43c55bc24d' class='xr-var-data-in' type='checkbox'><label for='data-366453b7-743f-441b-a5dd-7b43c55bc24d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-498, -663, -138, ..., -471, -425, -881],\n",
+       "       [ 527,  709,  629, ..., -531, -253, -563],\n",
+       "       [-936, -325, -716, ...,  795, -331,  298],\n",
+       "       [-575, -267, -273, ..., -388, -574,  558]], shape=(4, 1000))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>acceptance_rate</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9948 0.9994 ... 0.9898 0.9979</div><input id='attrs-7a68c2f9-9473-4578-9ec0-24a4ce5e4c76' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7a68c2f9-9473-4578-9ec0-24a4ce5e4c76' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-26f6c806-9293-41e8-87c2-2c3aaea83242' class='xr-var-data-in' type='checkbox'><label for='data-26f6c806-9293-41e8-87c2-2c3aaea83242' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.99483494, 0.99943751, 0.99559399, ..., 0.98040636, 0.99210786,\n",
+       "        0.97852043],\n",
+       "       [0.99138034, 0.99284252, 0.99991408, ..., 0.99994844, 0.94921718,\n",
+       "        0.99758155],\n",
+       "       [0.9712806 , 0.99480025, 0.99019841, ..., 0.95773477, 0.99620239,\n",
+       "        0.99895754],\n",
+       "       [0.999873  , 0.99484231, 0.99910496, ..., 0.99467055, 0.98979852,\n",
+       "        0.99785954]], shape=(4, 1000))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>max_energy_error</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-0.2828 -0.2722 ... -0.1648 -0.2962</div><input id='attrs-6737adb0-ee96-4360-bc3e-ca0b9e48b5c2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6737adb0-ee96-4360-bc3e-ca0b9e48b5c2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-660df20a-b7b7-4fbe-ab4c-d81068542c2c' class='xr-var-data-in' type='checkbox'><label for='data-660df20a-b7b7-4fbe-ab4c-d81068542c2c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-0.28277893, -0.27219456, -0.08599798, ...,  0.038038  ,\n",
+       "        -0.06538719, -0.41406695],\n",
+       "       [-0.03801454, -0.08172141, -0.17025205, ..., -0.00076038,\n",
+       "         0.16760763, -0.33216505],\n",
+       "       [-0.57591433, -0.24820933, -0.0747779 , ..., -0.20166372,\n",
+       "        -0.10757028,  0.00227361],\n",
+       "       [-0.00547272, -0.02644036, -0.01792048, ..., -0.1539376 ,\n",
+       "        -0.1647548 , -0.29622148]], shape=(4, 1000))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>divergences</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 0 0 0 0 0 0 0 ... 0 0 0 0 0 0 0 0</div><input id='attrs-0d574910-e0b2-4326-b417-e99463bfd0d5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0d574910-e0b2-4326-b417-e99463bfd0d5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9d8a99bd-46dc-4f58-8c6d-082879ac9520' class='xr-var-data-in' type='checkbox'><label for='data-9d8a99bd-46dc-4f58-8c6d-082879ac9520' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0, 0, 0, ..., 0, 0, 0],\n",
+       "       [0, 0, 0, ..., 0, 0, 0],\n",
+       "       [0, 0, 0, ..., 0, 0, 0],\n",
+       "       [0, 0, 0, ..., 0, 0, 0]], shape=(4, 1000))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>smallest_eigval</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-6bc40a7e-de7a-4eaa-8499-94b336ac07c0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6bc40a7e-de7a-4eaa-8499-94b336ac07c0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9a19353f-5264-4691-82ea-27f95d9180c2' class='xr-var-data-in' type='checkbox'><label for='data-9a19353f-5264-4691-82ea-27f95d9180c2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
+       "       [nan, nan, nan, ..., nan, nan, nan],\n",
+       "       [nan, nan, nan, ..., nan, nan, nan],\n",
+       "       [nan, nan, nan, ..., nan, nan, nan]], shape=(4, 1000))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>step_size</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.002166 0.002166 ... 0.002003</div><input id='attrs-372cddee-d713-4392-930c-7d5eef809160' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-372cddee-d713-4392-930c-7d5eef809160' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b061df87-5148-49ac-84d5-474a5d308956' class='xr-var-data-in' type='checkbox'><label for='data-b061df87-5148-49ac-84d5-474a5d308956' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.0021657 , 0.0021657 , 0.0021657 , ..., 0.0021657 , 0.0021657 ,\n",
+       "        0.0021657 ],\n",
+       "       [0.00211473, 0.00211473, 0.00211473, ..., 0.00211473, 0.00211473,\n",
+       "        0.00211473],\n",
+       "       [0.00209259, 0.00209259, 0.00209259, ..., 0.00209259, 0.00209259,\n",
+       "        0.00209259],\n",
+       "       [0.0020029 , 0.0020029 , 0.0020029 , ..., 0.0020029 , 0.0020029 ,\n",
+       "        0.0020029 ]], shape=(4, 1000))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>energy</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-24.4 -25.89 ... -38.76 -38.2</div><input id='attrs-b5710553-a807-4b26-be72-b81c43f3efc8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b5710553-a807-4b26-be72-b81c43f3efc8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a3a6e418-63a1-4be8-805a-d792565ac7d4' class='xr-var-data-in' type='checkbox'><label for='data-a3a6e418-63a1-4be8-805a-d792565ac7d4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-24.39834299, -25.89250139, -29.17748193, ..., -33.09945168,\n",
+       "        -36.76675214, -29.82131788],\n",
+       "       [-39.5516866 , -40.97807872, -39.9012096 , ..., -37.51593182,\n",
+       "        -24.77099589, -28.87551511],\n",
+       "       [-34.89641893, -34.60205957, -32.65287468, ..., -33.21647259,\n",
+       "        -37.54842302, -38.56619865],\n",
+       "       [-29.68803291, -31.74679783, -37.30226277, ..., -36.41772113,\n",
+       "        -38.75957751, -38.20300392]], shape=(4, 1000))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>n_steps</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.023e+03 1.023e+03 ... 1.023e+03</div><input id='attrs-23f953ae-3c12-4a9f-b11c-c17780be4424' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-23f953ae-3c12-4a9f-b11c-c17780be4424' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bc76bab0-b9d3-4c43-8b74-4528f3fdf62c' class='xr-var-data-in' type='checkbox'><label for='data-bc76bab0-b9d3-4c43-8b74-4528f3fdf62c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[1023., 1023., 1023., ..., 1023., 1023., 1023.],\n",
+       "       [1023., 1023., 1023., ..., 1023., 1023., 1023.],\n",
+       "       [1023., 1023., 1023., ..., 1023., 1023., 1023.],\n",
+       "       [1023., 1023., 1023., ..., 1023., 1023., 1023.]], shape=(4, 1000))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lp</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>33.18 35.2 35.65 ... 44.33 47.59</div><input id='attrs-15b68118-6e7b-4e0e-b59c-0d6b07b0590a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-15b68118-6e7b-4e0e-b59c-0d6b07b0590a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e7e13553-d594-47b5-96ba-620476005910' class='xr-var-data-in' type='checkbox'><label for='data-e7e13553-d594-47b5-96ba-620476005910' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[33.18474983, 35.19822733, 35.64877503, ..., 43.79808509,\n",
+       "        41.83434612, 34.03511229],\n",
+       "       [44.39722604, 43.98931687, 45.0169981 , ..., 42.64294417,\n",
+       "        36.681845  , 43.68887828],\n",
+       "       [43.66126265, 42.66107556, 40.03862107, ..., 43.81548633,\n",
+       "        42.71409736, 45.12985924],\n",
+       "       [37.94079537, 42.45475909, 43.03422637, ..., 44.97432914,\n",
+       "        44.32705396, 47.59098024]], shape=(4, 1000))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>perf_counter_diff</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1254 0.08706 ... 0.08573 0.07097</div><input id='attrs-caa05fcb-e609-4860-a4c2-5704c01c5900' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-caa05fcb-e609-4860-a4c2-5704c01c5900' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4489efa3-5159-47f5-af42-bbdc4b0c04e7' class='xr-var-data-in' type='checkbox'><label for='data-4489efa3-5159-47f5-af42-bbdc4b0c04e7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.12540142, 0.08705521, 0.0833635 , ..., 0.14408646, 0.16959417,\n",
+       "        0.16750254],\n",
+       "       [0.12438179, 0.14057238, 0.14219313, ..., 0.07585288, 0.13379192,\n",
+       "        0.09670625],\n",
+       "       [0.09212608, 0.08719879, 0.09044767, ..., 0.14704083, 0.17374046,\n",
+       "        0.12614208],\n",
+       "       [0.10825767, 0.21813767, 0.12151975, ..., 0.1176625 , 0.08573125,\n",
+       "        0.0709725 ]], shape=(4, 1000))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>largest_eigval</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-9f2ea5fd-da0f-478f-a659-7651109e1677' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9f2ea5fd-da0f-478f-a659-7651109e1677' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bfd25c24-af52-4aa4-a156-4ffdca236b61' class='xr-var-data-in' type='checkbox'><label for='data-bfd25c24-af52-4aa4-a156-4ffdca236b61' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
+       "       [nan, nan, nan, ..., nan, nan, nan],\n",
+       "       [nan, nan, nan, ..., nan, nan, nan],\n",
+       "       [nan, nan, nan, ..., nan, nan, nan]], shape=(4, 1000))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>energy_error</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.01965 -0.07074 ... -0.02365</div><input id='attrs-e8fafbe4-f1fc-46fe-b33a-ef03ecf44396' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e8fafbe4-f1fc-46fe-b33a-ef03ecf44396' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0106a161-3c55-406b-b9ba-70625cdc4356' class='xr-var-data-in' type='checkbox'><label for='data-0106a161-3c55-406b-b9ba-70625cdc4356' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 1.96509409e-02, -7.07428862e-02,  4.48696181e-03, ...,\n",
+       "         2.89174076e-02, -6.24283530e-03,  7.92385833e-04],\n",
+       "       [ 8.60011121e-03,  4.79974803e-02, -8.39471711e-02, ...,\n",
+       "        -1.48236887e-04,  1.11442031e-01, -7.59613394e-02],\n",
+       "       [-1.14652695e-01, -5.00802426e-02,  2.77063625e-02, ...,\n",
+       "         3.75282279e-02, -1.05447985e-01,  1.18954379e-03],\n",
+       "       [-4.62273196e-05,  4.70345121e-03,  6.39095000e-04, ...,\n",
+       "         1.38726783e-02, -2.96142788e-02, -2.36487247e-02]],\n",
+       "      shape=(4, 1000))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>process_time_diff</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1014 0.08222 ... 0.08211 0.07026</div><input id='attrs-17b4f859-2b1d-46dd-afc7-37a4b6d3f1a1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-17b4f859-2b1d-46dd-afc7-37a4b6d3f1a1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-88532b28-7594-4263-9c05-3894b527f97f' class='xr-var-data-in' type='checkbox'><label for='data-88532b28-7594-4263-9c05-3894b527f97f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.101382, 0.082217, 0.080043, ..., 0.093755, 0.108263, 0.112573],\n",
+       "       [0.10635 , 0.108951, 0.093935, ..., 0.074462, 0.072488, 0.080174],\n",
+       "       [0.08688 , 0.084032, 0.085852, ..., 0.107726, 0.110779, 0.105367],\n",
+       "       [0.096644, 0.100925, 0.100037, ..., 0.09784 , 0.08211 , 0.070262]],\n",
+       "      shape=(4, 1000))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>perf_counter_start</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>8.29e+04 8.29e+04 ... 8.303e+04</div><input id='attrs-c7070694-7222-4fa4-bc08-21a2da0d1437' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c7070694-7222-4fa4-bc08-21a2da0d1437' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0b49342b-4bca-4180-ac6b-b434ccfdf4ee' class='xr-var-data-in' type='checkbox'><label for='data-0b49342b-4bca-4180-ac6b-b434ccfdf4ee' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[82900.46400304, 82900.58958442, 82900.67686287, ...,\n",
+       "        83029.17864608, 83029.32288679, 83029.49295446],\n",
+       "       [82901.65287004, 82901.77768592, 82901.91843021, ...,\n",
+       "        83030.29454862, 83030.37058496, 83030.5045505 ],\n",
+       "       [82900.61466779, 82900.70698146, 82900.79436246, ...,\n",
+       "        83029.299968  , 83029.44761354, 83029.62189467],\n",
+       "       [82900.8606565 , 82900.96916658, 82901.18752104, ...,\n",
+       "        83030.13800554, 83030.25587204, 83030.341771  ]], shape=(4, 1000))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>step_size_bar</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.002023 0.002023 ... 0.001745</div><input id='attrs-af007db2-0307-489a-b05d-e74d0a45d3b2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-af007db2-0307-489a-b05d-e74d0a45d3b2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0aaf80f6-3f5c-47ab-8109-2dcc30c2fa1e' class='xr-var-data-in' type='checkbox'><label for='data-0aaf80f6-3f5c-47ab-8109-2dcc30c2fa1e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.00202316, 0.00202316, 0.00202316, ..., 0.00202316, 0.00202316,\n",
+       "        0.00202316],\n",
+       "       [0.00193567, 0.00193567, 0.00193567, ..., 0.00193567, 0.00193567,\n",
+       "        0.00193567],\n",
+       "       [0.00200573, 0.00200573, 0.00200573, ..., 0.00200573, 0.00200573,\n",
+       "        0.00200573],\n",
+       "       [0.00174488, 0.00174488, 0.00174488, ..., 0.00174488, 0.00174488,\n",
+       "        0.00174488]], shape=(4, 1000))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2b476fb1-72ba-452c-b0d6-781b8043b15c' class='xr-section-summary-in' type='checkbox' checked /><label for='section-2b476fb1-72ba-452c-b0d6-781b8043b15c' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>created_at :</span></dt><dd>2026-04-17T23:31:10.904696+00:00</dd><dt><span>arviz_version :</span></dt><dd>0.23.4</dd><dt><span>inference_library :</span></dt><dd>pymc</dd><dt><span>inference_library_version :</span></dt><dd>5.28.4</dd><dt><span>sampling_time :</span></dt><dd>212.4672291278839</dd><dt><span>tuning_steps :</span></dt><dd>1000</dd></dl></div></li></ul></div></div><br></div>\n",
+       "                      </ul>\n",
+       "                  </div>\n",
+       "            </li>\n",
+       "            \n",
+       "            <li class = \"xr-section-item\">\n",
+       "                  <input id=\"idata_prior441e3192-3af5-49ca-ad09-b8433593c913\" class=\"xr-section-summary-in\" type=\"checkbox\">\n",
+       "                  <label for=\"idata_prior441e3192-3af5-49ca-ad09-b8433593c913\" class = \"xr-section-summary\">prior</label>\n",
+       "                  <div class=\"xr-section-inline-details\"></div>\n",
+       "                  <div class=\"xr-section-details\">\n",
+       "                      <ul id=\"xr-dataset-coord-list\" class=\"xr-var-list\">\n",
+       "                          <div style=\"padding-left:2rem;\"><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "<defs>\n",
+       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
+       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
+       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
+       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
+       "</symbol>\n",
+       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
+       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
+       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "</symbol>\n",
+       "</defs>\n",
+       "</svg>\n",
+       "<style>/* CSS stylesheet for displaying xarray objects in notebooks */\n",
+       "\n",
+       ":root {\n",
+       "  --xr-font-color0: var(\n",
+       "    --jp-content-font-color0,\n",
+       "    var(--pst-color-text-base rgba(0, 0, 0, 1))\n",
+       "  );\n",
+       "  --xr-font-color2: var(\n",
+       "    --jp-content-font-color2,\n",
+       "    var(--pst-color-text-base, rgba(0, 0, 0, 0.54))\n",
+       "  );\n",
+       "  --xr-font-color3: var(\n",
+       "    --jp-content-font-color3,\n",
+       "    var(--pst-color-text-base, rgba(0, 0, 0, 0.38))\n",
+       "  );\n",
+       "  --xr-border-color: var(\n",
+       "    --jp-border-color2,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 10))\n",
+       "  );\n",
+       "  --xr-disabled-color: var(\n",
+       "    --jp-layout-color3,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 40))\n",
+       "  );\n",
+       "  --xr-background-color: var(\n",
+       "    --jp-layout-color0,\n",
+       "    var(--pst-color-on-background, white)\n",
+       "  );\n",
+       "  --xr-background-color-row-even: var(\n",
+       "    --jp-layout-color1,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 5))\n",
+       "  );\n",
+       "  --xr-background-color-row-odd: var(\n",
+       "    --jp-layout-color2,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 15))\n",
+       "  );\n",
+       "}\n",
+       "\n",
+       "html[theme=\"dark\"],\n",
+       "html[data-theme=\"dark\"],\n",
+       "body[data-theme=\"dark\"],\n",
+       "body.vscode-dark {\n",
+       "  --xr-font-color0: var(\n",
+       "    --jp-content-font-color0,\n",
+       "    var(--pst-color-text-base, rgba(255, 255, 255, 1))\n",
+       "  );\n",
+       "  --xr-font-color2: var(\n",
+       "    --jp-content-font-color2,\n",
+       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.54))\n",
+       "  );\n",
+       "  --xr-font-color3: var(\n",
+       "    --jp-content-font-color3,\n",
+       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.38))\n",
+       "  );\n",
+       "  --xr-border-color: var(\n",
+       "    --jp-border-color2,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 10))\n",
+       "  );\n",
+       "  --xr-disabled-color: var(\n",
+       "    --jp-layout-color3,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 40))\n",
+       "  );\n",
+       "  --xr-background-color: var(\n",
+       "    --jp-layout-color0,\n",
+       "    var(--pst-color-on-background, #111111)\n",
+       "  );\n",
+       "  --xr-background-color-row-even: var(\n",
+       "    --jp-layout-color1,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 5))\n",
+       "  );\n",
+       "  --xr-background-color-row-odd: var(\n",
+       "    --jp-layout-color2,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 15))\n",
+       "  );\n",
+       "}\n",
+       "\n",
+       ".xr-wrap {\n",
+       "  display: block !important;\n",
+       "  min-width: 300px;\n",
+       "  max-width: 700px;\n",
+       "  line-height: 1.6;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-text-repr-fallback {\n",
+       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-header {\n",
+       "  padding-top: 6px;\n",
+       "  padding-bottom: 6px;\n",
+       "}\n",
+       "\n",
+       ".xr-header {\n",
+       "  border-bottom: solid 1px var(--xr-border-color);\n",
+       "  margin-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-header > div,\n",
+       ".xr-header > ul {\n",
+       "  display: inline;\n",
+       "  margin-top: 0;\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-obj-name {\n",
+       "  margin-left: 2px;\n",
+       "  margin-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-group-box-contents > label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-sections {\n",
+       "  padding-left: 0 !important;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
+       "  margin-block-start: 0;\n",
+       "  margin-block-end: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input,\n",
+       ".xr-group-box-contents > input,\n",
+       ".xr-array-wrap > input {\n",
+       "  display: block;\n",
+       "  opacity: 0;\n",
+       "  height: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input + label,\n",
+       ".xr-var-item > input + label {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input:enabled + label,\n",
+       ".xr-var-item > input:enabled + label,\n",
+       ".xr-array-wrap > input:enabled + label,\n",
+       ".xr-group-box-contents > input:enabled + label {\n",
+       "  cursor: pointer;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input:focus-visible + label,\n",
+       ".xr-var-item > input:focus-visible + label,\n",
+       ".xr-array-wrap > input:focus-visible + label,\n",
+       ".xr-group-box-contents > input:focus-visible + label {\n",
+       "  outline: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input:enabled + label:hover,\n",
+       ".xr-var-item > input:enabled + label:hover,\n",
+       ".xr-array-wrap > input:enabled + label:hover,\n",
+       ".xr-group-box-contents > input:enabled + label:hover {\n",
+       "  color: var(--xr-font-color0);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary {\n",
+       "  grid-column: 1;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  font-weight: 500;\n",
+       "  white-space: nowrap;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > em {\n",
+       "  font-weight: normal;\n",
+       "}\n",
+       "\n",
+       ".xr-span-grid {\n",
+       "  grid-column-end: -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.3em;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked + label > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.6em;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in + label:before {\n",
+       "  display: inline-block;\n",
+       "  content: \"►\";\n",
+       "  font-size: 11px;\n",
+       "  width: 15px;\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label:before {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label:before {\n",
+       "  content: \"▼\";\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary,\n",
+       ".xr-section-inline-details,\n",
+       ".xr-group-box-contents > label {\n",
+       "  padding-top: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-inline-details {\n",
+       "  grid-column: 2 / -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-details {\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-top: 4px;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in ~ .xr-section-details {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-children {\n",
+       "  display: inline-grid;\n",
+       "  grid-template-columns: 100%;\n",
+       "  grid-column: 1 / -1;\n",
+       "  padding-top: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box {\n",
+       "  display: inline-grid;\n",
+       "  grid-template-columns: 0px 30px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-vline {\n",
+       "  grid-column-start: 1;\n",
+       "  border-right: 0.2em solid;\n",
+       "  border-color: var(--xr-border-color);\n",
+       "  width: 0px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-hline {\n",
+       "  grid-column-start: 2;\n",
+       "  grid-row-start: 1;\n",
+       "  height: 1em;\n",
+       "  width: 26px;\n",
+       "  border-bottom: 0.2em solid;\n",
+       "  border-color: var(--xr-border-color);\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents {\n",
+       "  grid-column-start: 3;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > label::before {\n",
+       "  content: \"📂\";\n",
+       "  padding-right: 0.3em;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked + label::before {\n",
+       "  content: \"📁\";\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked + label {\n",
+       "  padding-bottom: 0px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked ~ .xr-sections {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-ellipsis {\n",
+       "  font-size: 1.4em;\n",
+       "  font-weight: 900;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  letter-spacing: 0.15em;\n",
+       "  cursor: default;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: \"(\";\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: \")\";\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: \",\";\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  border-color: var(--xr-background-color-row-odd);\n",
+       "  margin-bottom: 0;\n",
+       "  padding-top: 2px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "  border-color: var(--xr-background-color-row-even);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  border-top: 2px dotted var(--xr-background-color);\n",
+       "  padding-bottom: 20px !important;\n",
+       "  padding-top: 10px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in + label,\n",
+       ".xr-var-data-in + label,\n",
+       ".xr-index-data-in + label {\n",
+       "  padding: 0 1px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > pre,\n",
+       ".xr-index-data > pre,\n",
+       ".xr-var-data > table > tbody > tr {\n",
+       "  background-color: transparent !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
+       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
+       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
+       "  color: var(--xr-font-color0);\n",
+       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
+       "  stroke-width: 0.8px;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 189kB\n",
+       "Dimensions:        (chain: 1, draw: 500, treated_units: 1, coeffs: 15,\n",
+       "                    obs_ind: 30)\n",
+       "Coordinates:\n",
+       "  * chain          (chain) int64 8B 0\n",
+       "  * draw           (draw) int64 4kB 0 1 2 3 4 5 6 ... 494 495 496 497 498 499\n",
+       "  * treated_units  (treated_units) &lt;U2 8B &#x27;UK&#x27;\n",
+       "  * coeffs         (coeffs) &lt;U11 660B &#x27;Australia&#x27; &#x27;Austria&#x27; ... &#x27;Switzerland&#x27;\n",
+       "  * obs_ind        (obs_ind) int64 240B 0 1 2 3 4 5 6 7 ... 23 24 25 26 27 28 29\n",
+       "Data variables:\n",
+       "    beta           (chain, draw, treated_units, coeffs) float64 60kB 0.01612 ...\n",
+       "    y_hat_sigma    (chain, draw, treated_units) float64 4kB 0.1089 ... 0.166\n",
+       "    mu             (chain, draw, obs_ind, treated_units) float64 120kB 5.152 ...\n",
+       "Attributes:\n",
+       "    created_at:                 2026-04-17T23:31:11.273778+00:00\n",
+       "    arviz_version:              0.23.4\n",
+       "    inference_library:          pymc\n",
+       "    inference_library_version:  5.28.4</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-0f25c614-d5f5-4fad-a449-0cab2cc437d8' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-0f25c614-d5f5-4fad-a449-0cab2cc437d8' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>chain</span>: 1</li><li><span class='xr-has-index'>draw</span>: 500</li><li><span class='xr-has-index'>treated_units</span>: 1</li><li><span class='xr-has-index'>coeffs</span>: 15</li><li><span class='xr-has-index'>obs_ind</span>: 30</li></ul></div></li><li class='xr-section-item'><input id='section-87b546ff-251b-43ab-b353-62731d69c763' class='xr-section-summary-in' type='checkbox' checked /><label for='section-87b546ff-251b-43ab-b353-62731d69c763' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>chain</span></div><div class='xr-var-dims'>(chain)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-b053cdd8-a6f5-41b4-874b-8e531301a667' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b053cdd8-a6f5-41b4-874b-8e531301a667' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0bae898f-a7d3-4528-97c4-8320bf09ec1b' class='xr-var-data-in' type='checkbox'><label for='data-0bae898f-a7d3-4528-97c4-8320bf09ec1b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>draw</span></div><div class='xr-var-dims'>(draw)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 495 496 497 498 499</div><input id='attrs-49aefc2f-72e7-4448-a311-5effab491c9a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-49aefc2f-72e7-4448-a311-5effab491c9a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e95bd07d-7794-4031-98b1-78870654d79f' class='xr-var-data-in' type='checkbox'><label for='data-e95bd07d-7794-4031-98b1-78870654d79f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([  0,   1,   2, ..., 497, 498, 499], shape=(500,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>treated_units</span></div><div class='xr-var-dims'>(treated_units)</div><div class='xr-var-dtype'>&lt;U2</div><div class='xr-var-preview xr-preview'>&#x27;UK&#x27;</div><input id='attrs-8e310cf6-ced9-43fe-b3fd-cf4a5abc2e0d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8e310cf6-ced9-43fe-b3fd-cf4a5abc2e0d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d41b5df1-0bb2-43bd-bbef-4ede623d7b5a' class='xr-var-data-in' type='checkbox'><label for='data-d41b5df1-0bb2-43bd-bbef-4ede623d7b5a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;UK&#x27;], dtype=&#x27;&lt;U2&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>coeffs</span></div><div class='xr-var-dims'>(coeffs)</div><div class='xr-var-dtype'>&lt;U11</div><div class='xr-var-preview xr-preview'>&#x27;Australia&#x27; ... &#x27;Switzerland&#x27;</div><input id='attrs-bb241c21-09d5-43b5-a21e-9a7aa5e61528' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bb241c21-09d5-43b5-a21e-9a7aa5e61528' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7e8537bc-6479-4895-88c6-b1661562bb5b' class='xr-var-data-in' type='checkbox'><label for='data-7e8537bc-6479-4895-88c6-b1661562bb5b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;Australia&#x27;, &#x27;Austria&#x27;, &#x27;Belgium&#x27;, &#x27;Canada&#x27;, &#x27;Denmark&#x27;, &#x27;Finland&#x27;,\n",
+       "       &#x27;France&#x27;, &#x27;Germany&#x27;, &#x27;Iceland&#x27;, &#x27;Luxemburg&#x27;, &#x27;Netherlands&#x27;,\n",
+       "       &#x27;New_Zealand&#x27;, &#x27;Norway&#x27;, &#x27;Sweden&#x27;, &#x27;Switzerland&#x27;], dtype=&#x27;&lt;U11&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>obs_ind</span></div><div class='xr-var-dims'>(obs_ind)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 24 25 26 27 28 29</div><input id='attrs-9a1b975c-ad11-41fe-9c51-e347d5ce6958' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9a1b975c-ad11-41fe-9c51-e347d5ce6958' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-78755268-28ab-4a83-a9e2-97cd01651d66' class='xr-var-data-in' type='checkbox'><label for='data-78755268-28ab-4a83-a9e2-97cd01651d66' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
+       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5a77dec3-a9fa-468e-82e3-09758e383c96' class='xr-section-summary-in' type='checkbox' checked /><label for='section-5a77dec3-a9fa-468e-82e3-09758e383c96' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>beta</span></div><div class='xr-var-dims'>(chain, draw, treated_units, coeffs)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.01612 0.007296 ... 0.02692 0.1085</div><input id='attrs-ff90ec02-72f4-4c58-ada1-b16b1317dcce' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ff90ec02-72f4-4c58-ada1-b16b1317dcce' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6a053661-a897-4b37-bb56-fa868fee573b' class='xr-var-data-in' type='checkbox'><label for='data-6a053661-a897-4b37-bb56-fa868fee573b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[[0.01611534, 0.00729643, 0.04001585, ..., 0.0342394 ,\n",
+       "          0.26094518, 0.00039832]],\n",
+       "\n",
+       "        [[0.05823526, 0.14704254, 0.00034295, ..., 0.01011905,\n",
+       "          0.00391472, 0.03956651]],\n",
+       "\n",
+       "        [[0.0255386 , 0.04532523, 0.01173951, ..., 0.02871608,\n",
+       "          0.07848365, 0.09080921]],\n",
+       "\n",
+       "        ...,\n",
+       "\n",
+       "        [[0.07285108, 0.10548195, 0.06013605, ..., 0.00703748,\n",
+       "          0.00427473, 0.07747068]],\n",
+       "\n",
+       "        [[0.09845294, 0.12556757, 0.0537052 , ..., 0.02061132,\n",
+       "          0.031361  , 0.02323109]],\n",
+       "\n",
+       "        [[0.02291047, 0.19441152, 0.00494595, ..., 0.06271598,\n",
+       "          0.02691684, 0.10845437]]]], shape=(1, 500, 1, 15))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>y_hat_sigma</span></div><div class='xr-var-dims'>(chain, draw, treated_units)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1089 0.2056 ... 0.1114 0.166</div><input id='attrs-23c8ee5e-0ad8-40c2-a3fd-cea28cb527a5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-23c8ee5e-0ad8-40c2-a3fd-cea28cb527a5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8c272783-a9f8-4949-963a-a8a14f2ce5f5' class='xr-var-data-in' type='checkbox'><label for='data-8c272783-a9f8-4949-963a-a8a14f2ce5f5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[0.10893991],\n",
+       "        [0.20559365],\n",
+       "        [0.05144409],\n",
+       "        [0.03117856],\n",
+       "        [0.36722392],\n",
+       "        [0.01912418],\n",
+       "        [0.00576135],\n",
+       "        [0.01729522],\n",
+       "        [0.50140967],\n",
+       "        [0.01874226],\n",
+       "        [0.00655574],\n",
+       "        [0.93286489],\n",
+       "        [0.01534792],\n",
+       "        [0.0777287 ],\n",
+       "        [0.0045192 ],\n",
+       "        [0.16452123],\n",
+       "        [0.20620453],\n",
+       "        [0.01205529],\n",
+       "        [0.04871525],\n",
+       "        [0.23357748],\n",
+       "...\n",
+       "        [0.04598017],\n",
+       "        [0.12564529],\n",
+       "        [0.14246275],\n",
+       "        [0.05411636],\n",
+       "        [0.12000837],\n",
+       "        [0.04469336],\n",
+       "        [0.20375095],\n",
+       "        [0.03309674],\n",
+       "        [0.04491612],\n",
+       "        [0.0309472 ],\n",
+       "        [0.23093815],\n",
+       "        [0.14915838],\n",
+       "        [0.20954842],\n",
+       "        [0.02204437],\n",
+       "        [0.11886157],\n",
+       "        [0.04478475],\n",
+       "        [0.12934371],\n",
+       "        [0.03815525],\n",
+       "        [0.11143186],\n",
+       "        [0.16597817]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mu</span></div><div class='xr-var-dims'>(chain, draw, obs_ind, treated_units)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.152 5.134 5.148 ... 4.015 4.029</div><input id='attrs-7b725917-e0fd-434b-8c8a-214c1372f6c1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7b725917-e0fd-434b-8c8a-214c1372f6c1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bb9ab277-b14e-4501-b700-9c19926f784b' class='xr-var-data-in' type='checkbox'><label for='data-bb9ab277-b14e-4501-b700-9c19926f784b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[[5.15181542],\n",
+       "         [5.13351115],\n",
+       "         [5.14840625],\n",
+       "         ...,\n",
+       "         [5.94053258],\n",
+       "         [5.93269673],\n",
+       "         [5.99527011]],\n",
+       "\n",
+       "        [[3.14303422],\n",
+       "         [3.12215643],\n",
+       "         [3.13889825],\n",
+       "         ...,\n",
+       "         [3.5457518 ],\n",
+       "         [3.55773779],\n",
+       "         [3.57886015]],\n",
+       "\n",
+       "        [[3.89413729],\n",
+       "         [3.88093882],\n",
+       "         [3.89500302],\n",
+       "         ...,\n",
+       "...\n",
+       "         ...,\n",
+       "         [3.50627593],\n",
+       "         [3.50234603],\n",
+       "         [3.55496114]],\n",
+       "\n",
+       "        [[3.8847499 ],\n",
+       "         [3.87466096],\n",
+       "         [3.8945804 ],\n",
+       "         ...,\n",
+       "         [4.41889718],\n",
+       "         [4.42832923],\n",
+       "         [4.46439549]],\n",
+       "\n",
+       "        [[3.59021989],\n",
+       "         [3.56508195],\n",
+       "         [3.57766245],\n",
+       "         ...,\n",
+       "         [3.99187882],\n",
+       "         [4.01528149],\n",
+       "         [4.02941803]]]], shape=(1, 500, 30, 1))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7f278ef9-fb18-4e4f-b1be-2c05ddc0832e' class='xr-section-summary-in' type='checkbox' checked /><label for='section-7f278ef9-fb18-4e4f-b1be-2c05ddc0832e' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>created_at :</span></dt><dd>2026-04-17T23:31:11.273778+00:00</dd><dt><span>arviz_version :</span></dt><dd>0.23.4</dd><dt><span>inference_library :</span></dt><dd>pymc</dd><dt><span>inference_library_version :</span></dt><dd>5.28.4</dd></dl></div></li></ul></div></div><br></div>\n",
+       "                      </ul>\n",
+       "                  </div>\n",
+       "            </li>\n",
+       "            \n",
+       "            <li class = \"xr-section-item\">\n",
+       "                  <input id=\"idata_prior_predictive491362a6-40db-4bc2-a2c6-e74ca81818e6\" class=\"xr-section-summary-in\" type=\"checkbox\">\n",
+       "                  <label for=\"idata_prior_predictive491362a6-40db-4bc2-a2c6-e74ca81818e6\" class = \"xr-section-summary\">prior_predictive</label>\n",
+       "                  <div class=\"xr-section-inline-details\"></div>\n",
+       "                  <div class=\"xr-section-details\">\n",
+       "                      <ul id=\"xr-dataset-coord-list\" class=\"xr-var-list\">\n",
+       "                          <div style=\"padding-left:2rem;\"><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "<defs>\n",
+       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
+       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
+       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
+       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
+       "</symbol>\n",
+       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
+       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
+       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "</symbol>\n",
+       "</defs>\n",
+       "</svg>\n",
+       "<style>/* CSS stylesheet for displaying xarray objects in notebooks */\n",
+       "\n",
+       ":root {\n",
+       "  --xr-font-color0: var(\n",
+       "    --jp-content-font-color0,\n",
+       "    var(--pst-color-text-base rgba(0, 0, 0, 1))\n",
+       "  );\n",
+       "  --xr-font-color2: var(\n",
+       "    --jp-content-font-color2,\n",
+       "    var(--pst-color-text-base, rgba(0, 0, 0, 0.54))\n",
+       "  );\n",
+       "  --xr-font-color3: var(\n",
+       "    --jp-content-font-color3,\n",
+       "    var(--pst-color-text-base, rgba(0, 0, 0, 0.38))\n",
+       "  );\n",
+       "  --xr-border-color: var(\n",
+       "    --jp-border-color2,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 10))\n",
+       "  );\n",
+       "  --xr-disabled-color: var(\n",
+       "    --jp-layout-color3,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 40))\n",
+       "  );\n",
+       "  --xr-background-color: var(\n",
+       "    --jp-layout-color0,\n",
+       "    var(--pst-color-on-background, white)\n",
+       "  );\n",
+       "  --xr-background-color-row-even: var(\n",
+       "    --jp-layout-color1,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 5))\n",
+       "  );\n",
+       "  --xr-background-color-row-odd: var(\n",
+       "    --jp-layout-color2,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 15))\n",
+       "  );\n",
+       "}\n",
+       "\n",
+       "html[theme=\"dark\"],\n",
+       "html[data-theme=\"dark\"],\n",
+       "body[data-theme=\"dark\"],\n",
+       "body.vscode-dark {\n",
+       "  --xr-font-color0: var(\n",
+       "    --jp-content-font-color0,\n",
+       "    var(--pst-color-text-base, rgba(255, 255, 255, 1))\n",
+       "  );\n",
+       "  --xr-font-color2: var(\n",
+       "    --jp-content-font-color2,\n",
+       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.54))\n",
+       "  );\n",
+       "  --xr-font-color3: var(\n",
+       "    --jp-content-font-color3,\n",
+       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.38))\n",
+       "  );\n",
+       "  --xr-border-color: var(\n",
+       "    --jp-border-color2,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 10))\n",
+       "  );\n",
+       "  --xr-disabled-color: var(\n",
+       "    --jp-layout-color3,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 40))\n",
+       "  );\n",
+       "  --xr-background-color: var(\n",
+       "    --jp-layout-color0,\n",
+       "    var(--pst-color-on-background, #111111)\n",
+       "  );\n",
+       "  --xr-background-color-row-even: var(\n",
+       "    --jp-layout-color1,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 5))\n",
+       "  );\n",
+       "  --xr-background-color-row-odd: var(\n",
+       "    --jp-layout-color2,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 15))\n",
+       "  );\n",
+       "}\n",
+       "\n",
+       ".xr-wrap {\n",
+       "  display: block !important;\n",
+       "  min-width: 300px;\n",
+       "  max-width: 700px;\n",
+       "  line-height: 1.6;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-text-repr-fallback {\n",
+       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-header {\n",
+       "  padding-top: 6px;\n",
+       "  padding-bottom: 6px;\n",
+       "}\n",
+       "\n",
+       ".xr-header {\n",
+       "  border-bottom: solid 1px var(--xr-border-color);\n",
+       "  margin-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-header > div,\n",
+       ".xr-header > ul {\n",
+       "  display: inline;\n",
+       "  margin-top: 0;\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-obj-name {\n",
+       "  margin-left: 2px;\n",
+       "  margin-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-group-box-contents > label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-sections {\n",
+       "  padding-left: 0 !important;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
+       "  margin-block-start: 0;\n",
+       "  margin-block-end: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input,\n",
+       ".xr-group-box-contents > input,\n",
+       ".xr-array-wrap > input {\n",
+       "  display: block;\n",
+       "  opacity: 0;\n",
+       "  height: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input + label,\n",
+       ".xr-var-item > input + label {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input:enabled + label,\n",
+       ".xr-var-item > input:enabled + label,\n",
+       ".xr-array-wrap > input:enabled + label,\n",
+       ".xr-group-box-contents > input:enabled + label {\n",
+       "  cursor: pointer;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input:focus-visible + label,\n",
+       ".xr-var-item > input:focus-visible + label,\n",
+       ".xr-array-wrap > input:focus-visible + label,\n",
+       ".xr-group-box-contents > input:focus-visible + label {\n",
+       "  outline: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input:enabled + label:hover,\n",
+       ".xr-var-item > input:enabled + label:hover,\n",
+       ".xr-array-wrap > input:enabled + label:hover,\n",
+       ".xr-group-box-contents > input:enabled + label:hover {\n",
+       "  color: var(--xr-font-color0);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary {\n",
+       "  grid-column: 1;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  font-weight: 500;\n",
+       "  white-space: nowrap;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > em {\n",
+       "  font-weight: normal;\n",
+       "}\n",
+       "\n",
+       ".xr-span-grid {\n",
+       "  grid-column-end: -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.3em;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked + label > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.6em;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in + label:before {\n",
+       "  display: inline-block;\n",
+       "  content: \"►\";\n",
+       "  font-size: 11px;\n",
+       "  width: 15px;\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label:before {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label:before {\n",
+       "  content: \"▼\";\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary,\n",
+       ".xr-section-inline-details,\n",
+       ".xr-group-box-contents > label {\n",
+       "  padding-top: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-inline-details {\n",
+       "  grid-column: 2 / -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-details {\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-top: 4px;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in ~ .xr-section-details {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-children {\n",
+       "  display: inline-grid;\n",
+       "  grid-template-columns: 100%;\n",
+       "  grid-column: 1 / -1;\n",
+       "  padding-top: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box {\n",
+       "  display: inline-grid;\n",
+       "  grid-template-columns: 0px 30px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-vline {\n",
+       "  grid-column-start: 1;\n",
+       "  border-right: 0.2em solid;\n",
+       "  border-color: var(--xr-border-color);\n",
+       "  width: 0px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-hline {\n",
+       "  grid-column-start: 2;\n",
+       "  grid-row-start: 1;\n",
+       "  height: 1em;\n",
+       "  width: 26px;\n",
+       "  border-bottom: 0.2em solid;\n",
+       "  border-color: var(--xr-border-color);\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents {\n",
+       "  grid-column-start: 3;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > label::before {\n",
+       "  content: \"📂\";\n",
+       "  padding-right: 0.3em;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked + label::before {\n",
+       "  content: \"📁\";\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked + label {\n",
+       "  padding-bottom: 0px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked ~ .xr-sections {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-ellipsis {\n",
+       "  font-size: 1.4em;\n",
+       "  font-weight: 900;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  letter-spacing: 0.15em;\n",
+       "  cursor: default;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: \"(\";\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: \")\";\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: \",\";\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  border-color: var(--xr-background-color-row-odd);\n",
+       "  margin-bottom: 0;\n",
+       "  padding-top: 2px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "  border-color: var(--xr-background-color-row-even);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  border-top: 2px dotted var(--xr-background-color);\n",
+       "  padding-bottom: 20px !important;\n",
+       "  padding-top: 10px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in + label,\n",
+       ".xr-var-data-in + label,\n",
+       ".xr-index-data-in + label {\n",
+       "  padding: 0 1px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > pre,\n",
+       ".xr-index-data > pre,\n",
+       ".xr-var-data > table > tbody > tr {\n",
+       "  background-color: transparent !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
+       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
+       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
+       "  color: var(--xr-font-color0);\n",
+       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
+       "  stroke-width: 0.8px;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 124kB\n",
+       "Dimensions:        (chain: 1, draw: 500, obs_ind: 30, treated_units: 1)\n",
+       "Coordinates:\n",
+       "  * chain          (chain) int64 8B 0\n",
+       "  * draw           (draw) int64 4kB 0 1 2 3 4 5 6 ... 494 495 496 497 498 499\n",
+       "  * obs_ind        (obs_ind) int64 240B 0 1 2 3 4 5 6 7 ... 23 24 25 26 27 28 29\n",
+       "  * treated_units  (treated_units) &lt;U2 8B &#x27;UK&#x27;\n",
+       "Data variables:\n",
+       "    y_hat          (chain, draw, obs_ind, treated_units) float64 120kB 4.972 ...\n",
+       "Attributes:\n",
+       "    created_at:                 2026-04-17T23:31:11.284255+00:00\n",
+       "    arviz_version:              0.23.4\n",
+       "    inference_library:          pymc\n",
+       "    inference_library_version:  5.28.4</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-516c951a-119b-489c-9ea0-0c308454c4df' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-516c951a-119b-489c-9ea0-0c308454c4df' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>chain</span>: 1</li><li><span class='xr-has-index'>draw</span>: 500</li><li><span class='xr-has-index'>obs_ind</span>: 30</li><li><span class='xr-has-index'>treated_units</span>: 1</li></ul></div></li><li class='xr-section-item'><input id='section-62cd6579-64b2-4425-8dde-b980a4d743a3' class='xr-section-summary-in' type='checkbox' checked /><label for='section-62cd6579-64b2-4425-8dde-b980a4d743a3' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>chain</span></div><div class='xr-var-dims'>(chain)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-89cbf08c-49d5-4fde-90a4-d50083d97dad' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-89cbf08c-49d5-4fde-90a4-d50083d97dad' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0a7d6276-0653-4c0f-a223-9dce8358fbfa' class='xr-var-data-in' type='checkbox'><label for='data-0a7d6276-0653-4c0f-a223-9dce8358fbfa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>draw</span></div><div class='xr-var-dims'>(draw)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 495 496 497 498 499</div><input id='attrs-90c96b9f-3908-4fae-9551-29a6063f99d1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-90c96b9f-3908-4fae-9551-29a6063f99d1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-be38b5b8-d5f1-411a-aa94-3805d8dc8033' class='xr-var-data-in' type='checkbox'><label for='data-be38b5b8-d5f1-411a-aa94-3805d8dc8033' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([  0,   1,   2, ..., 497, 498, 499], shape=(500,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>obs_ind</span></div><div class='xr-var-dims'>(obs_ind)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 24 25 26 27 28 29</div><input id='attrs-e3757c16-f1bd-4743-9760-34681f257b38' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e3757c16-f1bd-4743-9760-34681f257b38' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3a90445c-8578-473c-a3a5-6a91c851e4fe' class='xr-var-data-in' type='checkbox'><label for='data-3a90445c-8578-473c-a3a5-6a91c851e4fe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
+       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>treated_units</span></div><div class='xr-var-dims'>(treated_units)</div><div class='xr-var-dtype'>&lt;U2</div><div class='xr-var-preview xr-preview'>&#x27;UK&#x27;</div><input id='attrs-b1c0dba3-d50b-4834-b6a0-86fa986f08ff' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b1c0dba3-d50b-4834-b6a0-86fa986f08ff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-242f4139-a1d7-4d36-97ef-270a15c3fcda' class='xr-var-data-in' type='checkbox'><label for='data-242f4139-a1d7-4d36-97ef-270a15c3fcda' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;UK&#x27;], dtype=&#x27;&lt;U2&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2765bde3-a2af-4301-90fe-83f43df56df4' class='xr-section-summary-in' type='checkbox' checked /><label for='section-2765bde3-a2af-4301-90fe-83f43df56df4' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>y_hat</span></div><div class='xr-var-dims'>(chain, draw, obs_ind, treated_units)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.972 5.287 5.227 ... 3.883 3.911</div><input id='attrs-56813b60-384b-4b00-b6b7-5264aa447251' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-56813b60-384b-4b00-b6b7-5264aa447251' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-52e2d9be-0f08-4131-920f-ff5347f1a126' class='xr-var-data-in' type='checkbox'><label for='data-52e2d9be-0f08-4131-920f-ff5347f1a126' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[[4.97213005],\n",
+       "         [5.28668055],\n",
+       "         [5.22722114],\n",
+       "         ...,\n",
+       "         [5.91361505],\n",
+       "         [6.14865904],\n",
+       "         [5.93310436]],\n",
+       "\n",
+       "        [[3.39640485],\n",
+       "         [3.62116281],\n",
+       "         [2.69965814],\n",
+       "         ...,\n",
+       "         [3.62523236],\n",
+       "         [3.44089736],\n",
+       "         [3.37742743]],\n",
+       "\n",
+       "        [[3.84622964],\n",
+       "         [3.81783279],\n",
+       "         [3.87859533],\n",
+       "         ...,\n",
+       "...\n",
+       "         ...,\n",
+       "         [3.51717702],\n",
+       "         [3.52448884],\n",
+       "         [3.62695199]],\n",
+       "\n",
+       "        [[3.94562628],\n",
+       "         [3.86341361],\n",
+       "         [3.8258962 ],\n",
+       "         ...,\n",
+       "         [4.28020929],\n",
+       "         [4.53479848],\n",
+       "         [4.45803633]],\n",
+       "\n",
+       "        [[3.35634142],\n",
+       "         [3.48978347],\n",
+       "         [3.17589105],\n",
+       "         ...,\n",
+       "         [4.25398267],\n",
+       "         [3.88316692],\n",
+       "         [3.91125888]]]], shape=(1, 500, 30, 1))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7da364d0-93ca-4e12-aa46-bba882f26266' class='xr-section-summary-in' type='checkbox' checked /><label for='section-7da364d0-93ca-4e12-aa46-bba882f26266' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>created_at :</span></dt><dd>2026-04-17T23:31:11.284255+00:00</dd><dt><span>arviz_version :</span></dt><dd>0.23.4</dd><dt><span>inference_library :</span></dt><dd>pymc</dd><dt><span>inference_library_version :</span></dt><dd>5.28.4</dd></dl></div></li></ul></div></div><br></div>\n",
+       "                      </ul>\n",
+       "                  </div>\n",
+       "            </li>\n",
+       "            \n",
+       "            <li class = \"xr-section-item\">\n",
+       "                  <input id=\"idata_observed_data14d73801-e9a1-4988-8250-f8f6d75fe1f7\" class=\"xr-section-summary-in\" type=\"checkbox\">\n",
+       "                  <label for=\"idata_observed_data14d73801-e9a1-4988-8250-f8f6d75fe1f7\" class = \"xr-section-summary\">observed_data</label>\n",
+       "                  <div class=\"xr-section-inline-details\"></div>\n",
+       "                  <div class=\"xr-section-details\">\n",
+       "                      <ul id=\"xr-dataset-coord-list\" class=\"xr-var-list\">\n",
+       "                          <div style=\"padding-left:2rem;\"><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "<defs>\n",
+       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
+       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
+       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
+       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
+       "</symbol>\n",
+       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
+       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
+       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "</symbol>\n",
+       "</defs>\n",
+       "</svg>\n",
+       "<style>/* CSS stylesheet for displaying xarray objects in notebooks */\n",
+       "\n",
+       ":root {\n",
+       "  --xr-font-color0: var(\n",
+       "    --jp-content-font-color0,\n",
+       "    var(--pst-color-text-base rgba(0, 0, 0, 1))\n",
+       "  );\n",
+       "  --xr-font-color2: var(\n",
+       "    --jp-content-font-color2,\n",
+       "    var(--pst-color-text-base, rgba(0, 0, 0, 0.54))\n",
+       "  );\n",
+       "  --xr-font-color3: var(\n",
+       "    --jp-content-font-color3,\n",
+       "    var(--pst-color-text-base, rgba(0, 0, 0, 0.38))\n",
+       "  );\n",
+       "  --xr-border-color: var(\n",
+       "    --jp-border-color2,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 10))\n",
+       "  );\n",
+       "  --xr-disabled-color: var(\n",
+       "    --jp-layout-color3,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 40))\n",
+       "  );\n",
+       "  --xr-background-color: var(\n",
+       "    --jp-layout-color0,\n",
+       "    var(--pst-color-on-background, white)\n",
+       "  );\n",
+       "  --xr-background-color-row-even: var(\n",
+       "    --jp-layout-color1,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 5))\n",
+       "  );\n",
+       "  --xr-background-color-row-odd: var(\n",
+       "    --jp-layout-color2,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 15))\n",
+       "  );\n",
+       "}\n",
+       "\n",
+       "html[theme=\"dark\"],\n",
+       "html[data-theme=\"dark\"],\n",
+       "body[data-theme=\"dark\"],\n",
+       "body.vscode-dark {\n",
+       "  --xr-font-color0: var(\n",
+       "    --jp-content-font-color0,\n",
+       "    var(--pst-color-text-base, rgba(255, 255, 255, 1))\n",
+       "  );\n",
+       "  --xr-font-color2: var(\n",
+       "    --jp-content-font-color2,\n",
+       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.54))\n",
+       "  );\n",
+       "  --xr-font-color3: var(\n",
+       "    --jp-content-font-color3,\n",
+       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.38))\n",
+       "  );\n",
+       "  --xr-border-color: var(\n",
+       "    --jp-border-color2,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 10))\n",
+       "  );\n",
+       "  --xr-disabled-color: var(\n",
+       "    --jp-layout-color3,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 40))\n",
+       "  );\n",
+       "  --xr-background-color: var(\n",
+       "    --jp-layout-color0,\n",
+       "    var(--pst-color-on-background, #111111)\n",
+       "  );\n",
+       "  --xr-background-color-row-even: var(\n",
+       "    --jp-layout-color1,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 5))\n",
+       "  );\n",
+       "  --xr-background-color-row-odd: var(\n",
+       "    --jp-layout-color2,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 15))\n",
+       "  );\n",
+       "}\n",
+       "\n",
+       ".xr-wrap {\n",
+       "  display: block !important;\n",
+       "  min-width: 300px;\n",
+       "  max-width: 700px;\n",
+       "  line-height: 1.6;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-text-repr-fallback {\n",
+       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-header {\n",
+       "  padding-top: 6px;\n",
+       "  padding-bottom: 6px;\n",
+       "}\n",
+       "\n",
+       ".xr-header {\n",
+       "  border-bottom: solid 1px var(--xr-border-color);\n",
+       "  margin-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-header > div,\n",
+       ".xr-header > ul {\n",
+       "  display: inline;\n",
+       "  margin-top: 0;\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-obj-name {\n",
+       "  margin-left: 2px;\n",
+       "  margin-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-group-box-contents > label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-sections {\n",
+       "  padding-left: 0 !important;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
+       "  margin-block-start: 0;\n",
+       "  margin-block-end: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input,\n",
+       ".xr-group-box-contents > input,\n",
+       ".xr-array-wrap > input {\n",
+       "  display: block;\n",
+       "  opacity: 0;\n",
+       "  height: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input + label,\n",
+       ".xr-var-item > input + label {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input:enabled + label,\n",
+       ".xr-var-item > input:enabled + label,\n",
+       ".xr-array-wrap > input:enabled + label,\n",
+       ".xr-group-box-contents > input:enabled + label {\n",
+       "  cursor: pointer;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input:focus-visible + label,\n",
+       ".xr-var-item > input:focus-visible + label,\n",
+       ".xr-array-wrap > input:focus-visible + label,\n",
+       ".xr-group-box-contents > input:focus-visible + label {\n",
+       "  outline: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input:enabled + label:hover,\n",
+       ".xr-var-item > input:enabled + label:hover,\n",
+       ".xr-array-wrap > input:enabled + label:hover,\n",
+       ".xr-group-box-contents > input:enabled + label:hover {\n",
+       "  color: var(--xr-font-color0);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary {\n",
+       "  grid-column: 1;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  font-weight: 500;\n",
+       "  white-space: nowrap;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > em {\n",
+       "  font-weight: normal;\n",
+       "}\n",
+       "\n",
+       ".xr-span-grid {\n",
+       "  grid-column-end: -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.3em;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked + label > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.6em;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in + label:before {\n",
+       "  display: inline-block;\n",
+       "  content: \"►\";\n",
+       "  font-size: 11px;\n",
+       "  width: 15px;\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label:before {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label:before {\n",
+       "  content: \"▼\";\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary,\n",
+       ".xr-section-inline-details,\n",
+       ".xr-group-box-contents > label {\n",
+       "  padding-top: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-inline-details {\n",
+       "  grid-column: 2 / -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-details {\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-top: 4px;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in ~ .xr-section-details {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-children {\n",
+       "  display: inline-grid;\n",
+       "  grid-template-columns: 100%;\n",
+       "  grid-column: 1 / -1;\n",
+       "  padding-top: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box {\n",
+       "  display: inline-grid;\n",
+       "  grid-template-columns: 0px 30px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-vline {\n",
+       "  grid-column-start: 1;\n",
+       "  border-right: 0.2em solid;\n",
+       "  border-color: var(--xr-border-color);\n",
+       "  width: 0px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-hline {\n",
+       "  grid-column-start: 2;\n",
+       "  grid-row-start: 1;\n",
+       "  height: 1em;\n",
+       "  width: 26px;\n",
+       "  border-bottom: 0.2em solid;\n",
+       "  border-color: var(--xr-border-color);\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents {\n",
+       "  grid-column-start: 3;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > label::before {\n",
+       "  content: \"📂\";\n",
+       "  padding-right: 0.3em;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked + label::before {\n",
+       "  content: \"📁\";\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked + label {\n",
+       "  padding-bottom: 0px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked ~ .xr-sections {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-ellipsis {\n",
+       "  font-size: 1.4em;\n",
+       "  font-weight: 900;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  letter-spacing: 0.15em;\n",
+       "  cursor: default;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: \"(\";\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: \")\";\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: \",\";\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  border-color: var(--xr-background-color-row-odd);\n",
+       "  margin-bottom: 0;\n",
+       "  padding-top: 2px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "  border-color: var(--xr-background-color-row-even);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  border-top: 2px dotted var(--xr-background-color);\n",
+       "  padding-bottom: 20px !important;\n",
+       "  padding-top: 10px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in + label,\n",
+       ".xr-var-data-in + label,\n",
+       ".xr-index-data-in + label {\n",
+       "  padding: 0 1px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > pre,\n",
+       ".xr-index-data > pre,\n",
+       ".xr-var-data > table > tbody > tr {\n",
+       "  background-color: transparent !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
+       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
+       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
+       "  color: var(--xr-font-color0);\n",
+       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
+       "  stroke-width: 0.8px;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 488B\n",
+       "Dimensions:        (obs_ind: 30, treated_units: 1)\n",
+       "Coordinates:\n",
+       "  * obs_ind        (obs_ind) int64 240B 0 1 2 3 4 5 6 7 ... 23 24 25 26 27 28 29\n",
+       "  * treated_units  (treated_units) &lt;U2 8B &#x27;UK&#x27;\n",
+       "Data variables:\n",
+       "    y_hat          (obs_ind, treated_units) float64 240B 4.619 4.604 ... 5.327\n",
+       "Attributes:\n",
+       "    created_at:                 2026-04-17T23:31:10.909229+00:00\n",
+       "    arviz_version:              0.23.4\n",
+       "    inference_library:          pymc\n",
+       "    inference_library_version:  5.28.4</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-e53ad847-7b6c-4763-8ae6-7a5dce80466e' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-e53ad847-7b6c-4763-8ae6-7a5dce80466e' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>obs_ind</span>: 30</li><li><span class='xr-has-index'>treated_units</span>: 1</li></ul></div></li><li class='xr-section-item'><input id='section-89c730df-874b-483e-8935-c6ea40600346' class='xr-section-summary-in' type='checkbox' checked /><label for='section-89c730df-874b-483e-8935-c6ea40600346' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>obs_ind</span></div><div class='xr-var-dims'>(obs_ind)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 24 25 26 27 28 29</div><input id='attrs-db0143c3-e732-4e66-b648-bc890ffefd28' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-db0143c3-e732-4e66-b648-bc890ffefd28' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-404bc770-9f92-4254-acc0-0e0e7636a711' class='xr-var-data-in' type='checkbox'><label for='data-404bc770-9f92-4254-acc0-0e0e7636a711' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
+       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>treated_units</span></div><div class='xr-var-dims'>(treated_units)</div><div class='xr-var-dtype'>&lt;U2</div><div class='xr-var-preview xr-preview'>&#x27;UK&#x27;</div><input id='attrs-58ef4e97-3d10-43df-bf32-bf0426000d47' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-58ef4e97-3d10-43df-bf32-bf0426000d47' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5bb0cc5d-c9c9-4e2f-9013-0b98fa8876b9' class='xr-var-data-in' type='checkbox'><label for='data-5bb0cc5d-c9c9-4e2f-9013-0b98fa8876b9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;UK&#x27;], dtype=&#x27;&lt;U2&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0965bbee-f2c5-4d23-8b4d-3998ea7fafb9' class='xr-section-summary-in' type='checkbox' checked /><label for='section-0965bbee-f2c5-4d23-8b4d-3998ea7fafb9' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>y_hat</span></div><div class='xr-var-dims'>(obs_ind, treated_units)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.619 4.604 4.607 ... 5.297 5.327</div><input id='attrs-c9bd1842-87b6-47f2-8330-3198b8936096' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c9bd1842-87b6-47f2-8330-3198b8936096' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-98fca0bc-8210-46d9-bab9-4347ecb1e69a' class='xr-var-data-in' type='checkbox'><label for='data-98fca0bc-8210-46d9-bab9-4347ecb1e69a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[4.61881],\n",
+       "       [4.60431],\n",
+       "       [4.60722],\n",
+       "       [4.62152],\n",
+       "       [4.6538 ],\n",
+       "       [4.70655],\n",
+       "       [4.73954],\n",
+       "       [4.74526],\n",
+       "       [4.7672 ],\n",
+       "       [4.77202],\n",
+       "       [4.78726],\n",
+       "       [4.79335],\n",
+       "       [4.82583],\n",
+       "       [4.82299],\n",
+       "       [4.88205],\n",
+       "       [4.87   ],\n",
+       "       [4.89236],\n",
+       "       [4.92451],\n",
+       "       [4.96229],\n",
+       "       [4.98839],\n",
+       "       [5.03492],\n",
+       "       [5.07551],\n",
+       "       [5.10988],\n",
+       "       [5.13852],\n",
+       "       [5.17165],\n",
+       "       [5.20984],\n",
+       "       [5.23783],\n",
+       "       [5.27344],\n",
+       "       [5.29673],\n",
+       "       [5.32731]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-cf840f0f-dcea-4462-a9e1-76f8eec26426' class='xr-section-summary-in' type='checkbox' checked /><label for='section-cf840f0f-dcea-4462-a9e1-76f8eec26426' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>created_at :</span></dt><dd>2026-04-17T23:31:10.909229+00:00</dd><dt><span>arviz_version :</span></dt><dd>0.23.4</dd><dt><span>inference_library :</span></dt><dd>pymc</dd><dt><span>inference_library_version :</span></dt><dd>5.28.4</dd></dl></div></li></ul></div></div><br></div>\n",
+       "                      </ul>\n",
+       "                  </div>\n",
+       "            </li>\n",
+       "            \n",
+       "            <li class = \"xr-section-item\">\n",
+       "                  <input id=\"idata_constant_data0f4f498a-205f-469a-bd82-3766544ecba3\" class=\"xr-section-summary-in\" type=\"checkbox\">\n",
+       "                  <label for=\"idata_constant_data0f4f498a-205f-469a-bd82-3766544ecba3\" class = \"xr-section-summary\">constant_data</label>\n",
+       "                  <div class=\"xr-section-inline-details\"></div>\n",
+       "                  <div class=\"xr-section-details\">\n",
+       "                      <ul id=\"xr-dataset-coord-list\" class=\"xr-var-list\">\n",
+       "                          <div style=\"padding-left:2rem;\"><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "<defs>\n",
+       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
+       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
+       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
+       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
+       "</symbol>\n",
+       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
+       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
+       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "</symbol>\n",
+       "</defs>\n",
+       "</svg>\n",
+       "<style>/* CSS stylesheet for displaying xarray objects in notebooks */\n",
+       "\n",
+       ":root {\n",
+       "  --xr-font-color0: var(\n",
+       "    --jp-content-font-color0,\n",
+       "    var(--pst-color-text-base rgba(0, 0, 0, 1))\n",
+       "  );\n",
+       "  --xr-font-color2: var(\n",
+       "    --jp-content-font-color2,\n",
+       "    var(--pst-color-text-base, rgba(0, 0, 0, 0.54))\n",
+       "  );\n",
+       "  --xr-font-color3: var(\n",
+       "    --jp-content-font-color3,\n",
+       "    var(--pst-color-text-base, rgba(0, 0, 0, 0.38))\n",
+       "  );\n",
+       "  --xr-border-color: var(\n",
+       "    --jp-border-color2,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 10))\n",
+       "  );\n",
+       "  --xr-disabled-color: var(\n",
+       "    --jp-layout-color3,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 40))\n",
+       "  );\n",
+       "  --xr-background-color: var(\n",
+       "    --jp-layout-color0,\n",
+       "    var(--pst-color-on-background, white)\n",
+       "  );\n",
+       "  --xr-background-color-row-even: var(\n",
+       "    --jp-layout-color1,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 5))\n",
+       "  );\n",
+       "  --xr-background-color-row-odd: var(\n",
+       "    --jp-layout-color2,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 15))\n",
+       "  );\n",
+       "}\n",
+       "\n",
+       "html[theme=\"dark\"],\n",
+       "html[data-theme=\"dark\"],\n",
+       "body[data-theme=\"dark\"],\n",
+       "body.vscode-dark {\n",
+       "  --xr-font-color0: var(\n",
+       "    --jp-content-font-color0,\n",
+       "    var(--pst-color-text-base, rgba(255, 255, 255, 1))\n",
+       "  );\n",
+       "  --xr-font-color2: var(\n",
+       "    --jp-content-font-color2,\n",
+       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.54))\n",
+       "  );\n",
+       "  --xr-font-color3: var(\n",
+       "    --jp-content-font-color3,\n",
+       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.38))\n",
+       "  );\n",
+       "  --xr-border-color: var(\n",
+       "    --jp-border-color2,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 10))\n",
+       "  );\n",
+       "  --xr-disabled-color: var(\n",
+       "    --jp-layout-color3,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 40))\n",
+       "  );\n",
+       "  --xr-background-color: var(\n",
+       "    --jp-layout-color0,\n",
+       "    var(--pst-color-on-background, #111111)\n",
+       "  );\n",
+       "  --xr-background-color-row-even: var(\n",
+       "    --jp-layout-color1,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 5))\n",
+       "  );\n",
+       "  --xr-background-color-row-odd: var(\n",
+       "    --jp-layout-color2,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 15))\n",
+       "  );\n",
+       "}\n",
+       "\n",
+       ".xr-wrap {\n",
+       "  display: block !important;\n",
+       "  min-width: 300px;\n",
+       "  max-width: 700px;\n",
+       "  line-height: 1.6;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-text-repr-fallback {\n",
+       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-header {\n",
+       "  padding-top: 6px;\n",
+       "  padding-bottom: 6px;\n",
+       "}\n",
+       "\n",
+       ".xr-header {\n",
+       "  border-bottom: solid 1px var(--xr-border-color);\n",
+       "  margin-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-header > div,\n",
+       ".xr-header > ul {\n",
+       "  display: inline;\n",
+       "  margin-top: 0;\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-obj-name {\n",
+       "  margin-left: 2px;\n",
+       "  margin-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-group-box-contents > label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-sections {\n",
+       "  padding-left: 0 !important;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
+       "  margin-block-start: 0;\n",
+       "  margin-block-end: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input,\n",
+       ".xr-group-box-contents > input,\n",
+       ".xr-array-wrap > input {\n",
+       "  display: block;\n",
+       "  opacity: 0;\n",
+       "  height: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input + label,\n",
+       ".xr-var-item > input + label {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input:enabled + label,\n",
+       ".xr-var-item > input:enabled + label,\n",
+       ".xr-array-wrap > input:enabled + label,\n",
+       ".xr-group-box-contents > input:enabled + label {\n",
+       "  cursor: pointer;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input:focus-visible + label,\n",
+       ".xr-var-item > input:focus-visible + label,\n",
+       ".xr-array-wrap > input:focus-visible + label,\n",
+       ".xr-group-box-contents > input:focus-visible + label {\n",
+       "  outline: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input:enabled + label:hover,\n",
+       ".xr-var-item > input:enabled + label:hover,\n",
+       ".xr-array-wrap > input:enabled + label:hover,\n",
+       ".xr-group-box-contents > input:enabled + label:hover {\n",
+       "  color: var(--xr-font-color0);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary {\n",
+       "  grid-column: 1;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  font-weight: 500;\n",
+       "  white-space: nowrap;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > em {\n",
+       "  font-weight: normal;\n",
+       "}\n",
+       "\n",
+       ".xr-span-grid {\n",
+       "  grid-column-end: -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.3em;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked + label > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.6em;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in + label:before {\n",
+       "  display: inline-block;\n",
+       "  content: \"►\";\n",
+       "  font-size: 11px;\n",
+       "  width: 15px;\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label:before {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label:before {\n",
+       "  content: \"▼\";\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary,\n",
+       ".xr-section-inline-details,\n",
+       ".xr-group-box-contents > label {\n",
+       "  padding-top: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-inline-details {\n",
+       "  grid-column: 2 / -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-details {\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-top: 4px;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in ~ .xr-section-details {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-children {\n",
+       "  display: inline-grid;\n",
+       "  grid-template-columns: 100%;\n",
+       "  grid-column: 1 / -1;\n",
+       "  padding-top: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box {\n",
+       "  display: inline-grid;\n",
+       "  grid-template-columns: 0px 30px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-vline {\n",
+       "  grid-column-start: 1;\n",
+       "  border-right: 0.2em solid;\n",
+       "  border-color: var(--xr-border-color);\n",
+       "  width: 0px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-hline {\n",
+       "  grid-column-start: 2;\n",
+       "  grid-row-start: 1;\n",
+       "  height: 1em;\n",
+       "  width: 26px;\n",
+       "  border-bottom: 0.2em solid;\n",
+       "  border-color: var(--xr-border-color);\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents {\n",
+       "  grid-column-start: 3;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > label::before {\n",
+       "  content: \"📂\";\n",
+       "  padding-right: 0.3em;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked + label::before {\n",
+       "  content: \"📁\";\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked + label {\n",
+       "  padding-bottom: 0px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked ~ .xr-sections {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-ellipsis {\n",
+       "  font-size: 1.4em;\n",
+       "  font-weight: 900;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  letter-spacing: 0.15em;\n",
+       "  cursor: default;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: \"(\";\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: \")\";\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: \",\";\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  border-color: var(--xr-background-color-row-odd);\n",
+       "  margin-bottom: 0;\n",
+       "  padding-top: 2px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "  border-color: var(--xr-background-color-row-even);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  border-top: 2px dotted var(--xr-background-color);\n",
+       "  padding-bottom: 20px !important;\n",
+       "  padding-top: 10px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in + label,\n",
+       ".xr-var-data-in + label,\n",
+       ".xr-index-data-in + label {\n",
+       "  padding: 0 1px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > pre,\n",
+       ".xr-index-data > pre,\n",
+       ".xr-var-data > table > tbody > tr {\n",
+       "  background-color: transparent !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
+       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
+       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
+       "  color: var(--xr-font-color0);\n",
+       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
+       "  stroke-width: 0.8px;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 4kB\n",
+       "Dimensions:  (obs_ind: 30, coeffs: 15)\n",
+       "Coordinates:\n",
+       "  * obs_ind  (obs_ind) int64 240B 0 1 2 3 4 5 6 7 8 ... 22 23 24 25 26 27 28 29\n",
+       "  * coeffs   (coeffs) &lt;U11 660B &#x27;Australia&#x27; &#x27;Austria&#x27; ... &#x27;Sweden&#x27; &#x27;Switzerland&#x27;\n",
+       "Data variables:\n",
+       "    X        (obs_ind, coeffs) float64 4kB 3.84 0.8028 0.9412 ... 12.37 1.719\n",
+       "Attributes:\n",
+       "    created_at:                 2026-04-17T23:31:10.910467+00:00\n",
+       "    arviz_version:              0.23.4\n",
+       "    inference_library:          pymc\n",
+       "    inference_library_version:  5.28.4</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-abf69efa-385b-48d5-8303-0d6347bdc659' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-abf69efa-385b-48d5-8303-0d6347bdc659' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>obs_ind</span>: 30</li><li><span class='xr-has-index'>coeffs</span>: 15</li></ul></div></li><li class='xr-section-item'><input id='section-084454a4-e9e6-42ec-a43a-a4fd8b53c52a' class='xr-section-summary-in' type='checkbox' checked /><label for='section-084454a4-e9e6-42ec-a43a-a4fd8b53c52a' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>obs_ind</span></div><div class='xr-var-dims'>(obs_ind)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 24 25 26 27 28 29</div><input id='attrs-50d7cb7e-5472-43e8-b197-463f81aaf18a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-50d7cb7e-5472-43e8-b197-463f81aaf18a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0b372de0-0835-4285-8d8d-8760f805f988' class='xr-var-data-in' type='checkbox'><label for='data-0b372de0-0835-4285-8d8d-8760f805f988' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
+       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>coeffs</span></div><div class='xr-var-dims'>(coeffs)</div><div class='xr-var-dtype'>&lt;U11</div><div class='xr-var-preview xr-preview'>&#x27;Australia&#x27; ... &#x27;Switzerland&#x27;</div><input id='attrs-ee71004b-b82e-4c1b-b04e-8dabe369310a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ee71004b-b82e-4c1b-b04e-8dabe369310a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2717e600-0031-481a-8d69-1adfbd7a630c' class='xr-var-data-in' type='checkbox'><label for='data-2717e600-0031-481a-8d69-1adfbd7a630c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;Australia&#x27;, &#x27;Austria&#x27;, &#x27;Belgium&#x27;, &#x27;Canada&#x27;, &#x27;Denmark&#x27;, &#x27;Finland&#x27;,\n",
+       "       &#x27;France&#x27;, &#x27;Germany&#x27;, &#x27;Iceland&#x27;, &#x27;Luxemburg&#x27;, &#x27;Netherlands&#x27;,\n",
+       "       &#x27;New_Zealand&#x27;, &#x27;Norway&#x27;, &#x27;Sweden&#x27;, &#x27;Switzerland&#x27;], dtype=&#x27;&lt;U11&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f3a20d7e-d7d8-4d75-9d7e-11bfa171965a' class='xr-section-summary-in' type='checkbox' checked /><label for='section-f3a20d7e-d7d8-4d75-9d7e-11bfa171965a' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>X</span></div><div class='xr-var-dims'>(obs_ind, coeffs)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.84 0.8028 0.9412 ... 12.37 1.719</div><input id='attrs-1cb7f9a5-bae1-4925-8c67-82af4240102a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1cb7f9a5-bae1-4925-8c67-82af4240102a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f6326864-4b0f-4cc8-8cd6-88c7a8afd50e' class='xr-var-data-in' type='checkbox'><label for='data-f6326864-4b0f-4cc8-8cd6-88c7a8afd50e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 3.84048  ,  0.802836 ,  0.94117  , 16.93824  ,  4.50096  ,\n",
+       "         0.51052  ,  5.0545   ,  6.63471  ,  5.18157  ,  0.114836 ,\n",
+       "         1.634391 ,  0.47336  ,  7.78753  , 10.3222   ,  1.4765317],\n",
+       "       [ 3.86954  ,  0.796545 ,  0.94162  , 16.7534   ,  4.41372  ,\n",
+       "         0.50829  ,  5.05375  ,  6.6453   ,  5.16171  ,  0.116259 ,\n",
+       "         1.634432 ,  0.47916  ,  7.71903  , 10.32867  ,  1.485509 ],\n",
+       "       [ 3.88115  ,  0.799937 ,  0.95352  , 16.82878  ,  4.42898  ,\n",
+       "         0.51299  ,  5.06237  ,  6.68237  ,  5.24132  ,  0.118747 ,\n",
+       "         1.640982 ,  0.48188  ,  7.724    , 10.32328  ,  1.502506 ],\n",
+       "       [ 3.91028  ,  0.803823 ,  0.96117  , 17.02503  ,  4.433    ,\n",
+       "         0.50903  ,  5.09832  ,  6.73155  ,  5.22482  ,  0.119302 ,\n",
+       "         1.650866 ,  0.48805  ,  7.72812  , 10.37107  ,  1.5151385],\n",
+       "       [ 3.92716  ,  0.80051  ,  0.96615  , 17.23041  ,  4.47128  ,\n",
+       "         0.51413  ,  5.11625  ,  6.78621  ,  4.91128  ,  0.121414 ,\n",
+       "         1.647748 ,  0.49349  ,  7.87891  , 10.64833  ,  1.525864 ],\n",
+       "       [ 3.95387  ,  0.811277 ,  0.97567  , 17.32057  ,  4.50184  ,\n",
+       "         0.52833  ,  5.14098  ,  6.93903  ,  5.10614  ,  0.122733 ,\n",
+       "         1.654981 ,  0.49609  ,  7.79516  , 10.86674  ,  1.5384847],\n",
+       "       [ 3.98175  ,  0.81855  ,  0.97974  , 17.44332  ,  4.57321  ,\n",
+       "         0.52616  ,  5.17273  ,  6.99577  ,  5.00671  ,  0.120794 ,\n",
+       "...\n",
+       "         0.52588  ,  5.39537  ,  7.53046  ,  5.61836  ,  0.135719 ,\n",
+       "         1.708111 ,  0.54982  ,  8.43427  , 11.82275  ,  1.6761612],\n",
+       "       [ 4.50884  ,  0.856751 ,  1.03446  , 19.36275  ,  4.79998  ,\n",
+       "         0.52179  ,  5.4238   ,  7.49188  ,  5.51916  ,  0.134703 ,\n",
+       "         1.718281 ,  0.55348  ,  8.41262  , 11.98956  ,  1.6733119],\n",
+       "       [ 4.5137   ,  0.858388 ,  1.04141  , 19.31005  ,  4.82243  ,\n",
+       "         0.52973  ,  5.42994  ,  7.5471   ,  5.86313  ,  0.135616 ,\n",
+       "         1.723575 ,  0.5585   ,  8.45721  , 12.10879  ,  1.6853151],\n",
+       "       [ 4.56084  ,  0.863285 ,  1.0434   , 19.37835  ,  4.83698  ,\n",
+       "         0.52968  ,  5.44213  ,  7.58115  ,  5.81588  ,  0.134972 ,\n",
+       "         1.729509 ,  0.56733  ,  8.55631  , 12.27554  ,  1.6959884],\n",
+       "       [ 4.58825  ,  0.864379 ,  1.04775  , 19.39286  ,  4.84776  ,\n",
+       "         0.53265  ,  5.45297  ,  7.61443  ,  5.9103   ,  0.13584  ,\n",
+       "         1.729793 ,  0.57376  ,  8.48118  , 12.36629  ,  1.7029608],\n",
+       "       [ 4.62773  ,  0.873659 ,  1.04835  , 19.49923  ,  4.9036   ,\n",
+       "         0.53922  ,  5.48707  ,  7.67836  ,  5.73509  ,  0.139863 ,\n",
+       "         1.745688 ,  0.57866  ,  8.49252  , 12.35977  ,  1.7101124],\n",
+       "       [ 4.658    ,  0.872602 ,  1.05411  , 19.40335  ,  4.96993  ,\n",
+       "         0.54006  ,  5.47082  ,  7.71241  ,  6.13539  ,  0.14183  ,\n",
+       "         1.749799 ,  0.58517  ,  8.48983  , 12.36546  ,  1.7190255]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-45cac62e-6072-4c86-86c1-f37014ff24ce' class='xr-section-summary-in' type='checkbox' checked /><label for='section-45cac62e-6072-4c86-86c1-f37014ff24ce' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>created_at :</span></dt><dd>2026-04-17T23:31:10.910467+00:00</dd><dt><span>arviz_version :</span></dt><dd>0.23.4</dd><dt><span>inference_library :</span></dt><dd>pymc</dd><dt><span>inference_library_version :</span></dt><dd>5.28.4</dd></dl></div></li></ul></div></div><br></div>\n",
+       "                      </ul>\n",
+       "                  </div>\n",
+       "            </li>\n",
+       "            \n",
+       "              </ul>\n",
+       "            </div>\n",
+       "            <style> /* CSS stylesheet for displaying InferenceData objects in jupyterlab.\n",
+       " *\n",
+       " */\n",
+       "\n",
+       ":root {\n",
+       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
+       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
+       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
+       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
+       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
+       "  --xr-background-color: var(--jp-layout-color0, white);\n",
+       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
+       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
+       "}\n",
+       "\n",
+       "html[theme=dark],\n",
+       "body.vscode-dark {\n",
+       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
+       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
+       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
+       "  --xr-border-color: #1F1F1F;\n",
+       "  --xr-disabled-color: #515151;\n",
+       "  --xr-background-color: #111111;\n",
+       "  --xr-background-color-row-even: #111111;\n",
+       "  --xr-background-color-row-odd: #313131;\n",
+       "}\n",
+       "\n",
+       ".xr-wrap {\n",
+       "  display: block;\n",
+       "  min-width: 300px;\n",
+       "  max-width: 700px;\n",
+       "}\n",
+       "\n",
+       ".xr-text-repr-fallback {\n",
+       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-header {\n",
+       "  padding-top: 6px;\n",
+       "  padding-bottom: 6px;\n",
+       "  margin-bottom: 4px;\n",
+       "  border-bottom: solid 1px var(--xr-border-color);\n",
+       "}\n",
+       "\n",
+       ".xr-header > div,\n",
+       ".xr-header > ul {\n",
+       "  display: inline;\n",
+       "  margin-top: 0;\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-array-name {\n",
+       "  margin-left: 2px;\n",
+       "  margin-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-sections {\n",
+       "  padding-left: 0 !important;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
+       "}\n",
+       "\n",
+       ".xr-sections.group-sections {\n",
+       "  grid-template-columns: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input + label {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label {\n",
+       "  cursor: pointer;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label:hover {\n",
+       "  color: var(--xr-font-color0);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary {\n",
+       "  grid-column: 1;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  font-weight: 500;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.5em;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in + label:before {\n",
+       "  display: inline-block;\n",
+       "  content: '►';\n",
+       "  font-size: 11px;\n",
+       "  width: 15px;\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label:before {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label:before {\n",
+       "  content: '▼';\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary,\n",
+       ".xr-section-inline-details {\n",
+       "  padding-top: 4px;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-inline-details {\n",
+       "  grid-column: 2 / -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-details {\n",
+       "  display: none;\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: '(';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: ')';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: ',';\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data {\n",
+       "  display: none;\n",
+       "  background-color: var(--xr-background-color) !important;\n",
+       "  padding-bottom: 5px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2 {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       ".xr-wrap{width:700px!important;} </style>"
       ],
-      "execution_count": 9,
-      "outputs": [
-        {
-          "output_type": "stream",
-          "text": [
-            "Initializing NUTS using jitter+adapt_diag...\n"
-          ],
-          "name": "stdout"
-        },
-        {
-          "output_type": "stream",
-          "text": [
-            "Multiprocess sampling (4 chains in 4 jobs)\n"
-          ],
-          "name": "stdout"
-        },
-        {
-          "output_type": "stream",
-          "text": [
-            "NUTS: [beta, y_hat_sigma]\n"
-          ],
-          "name": "stdout"
-        },
-        {
-          "output_type": "display_data",
-          "data": {
-            "application/vnd.jupyter.widget-view+json": {
-              "model_id": "17554bf45e89494a9003156e5b5ba4c1",
-              "version_major": 2,
-              "version_minor": 0
-            },
-            "text/plain": [
-              "Output()"
-            ]
-          },
-          "metadata": {}
-        },
-        {
-          "output_type": "display_data",
-          "data": {
-            "text/html": [
-              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
-            ],
-            "text/plain": []
-          },
-          "metadata": {}
-        },
-        {
-          "output_type": "stream",
-          "text": [
-            "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 81 seconds.\n"
-          ],
-          "name": "stdout"
-        },
-        {
-          "output_type": "stream",
-          "text": [
-            "There were 2 divergences after tuning. Increase `target_accept` or reparameterize.\n"
-          ],
-          "name": "stdout"
-        },
-        {
-          "output_type": "stream",
-          "text": [
-            "Chain 0 reached the maximum tree depth. Increase `max_treedepth`, increase `target_accept` or reparameterize.\n"
-          ],
-          "name": "stdout"
-        },
-        {
-          "output_type": "stream",
-          "text": [
-            "Chain 1 reached the maximum tree depth. Increase `max_treedepth`, increase `target_accept` or reparameterize.\n"
-          ],
-          "name": "stdout"
-        },
-        {
-          "output_type": "stream",
-          "text": [
-            "Chain 2 reached the maximum tree depth. Increase `max_treedepth`, increase `target_accept` or reparameterize.\n"
-          ],
-          "name": "stdout"
-        },
-        {
-          "output_type": "stream",
-          "text": [
-            "Chain 3 reached the maximum tree depth. Increase `max_treedepth`, increase `target_accept` or reparameterize.\n"
-          ],
-          "name": "stdout"
-        },
-        {
-          "output_type": "stream",
-          "text": [
-            "The rhat statistic is larger than 1.01 for some parameters. This indicates problems during sampling. See https://arxiv.org/abs/1903.08008 for details\n"
-          ],
-          "name": "stdout"
-        },
-        {
-          "output_type": "stream",
-          "text": [
-            "The effective sample size per chain is smaller than 100 for some parameters.  A higher number is needed for reliable rhat and ess computation. See https://arxiv.org/abs/1903.08008 for details\n"
-          ],
-          "name": "stdout"
-        },
-        {
-          "output_type": "stream",
-          "text": [
-            "Sampling: [beta, y_hat, y_hat_sigma]\n"
-          ],
-          "name": "stdout"
-        },
-        {
-          "output_type": "stream",
-          "text": [
-            "Sampling: [y_hat]\n"
-          ],
-          "name": "stdout"
-        },
-        {
-          "output_type": "stream",
-          "text": [
-            "Sampling: [y_hat]\n"
-          ],
-          "name": "stdout"
-        },
-        {
-          "output_type": "stream",
-          "text": [
-            "Sampling: [y_hat]\n"
-          ],
-          "name": "stdout"
-        },
-        {
-          "output_type": "stream",
-          "text": [
-            "Sampling: [y_hat]\n"
-          ],
-          "name": "stdout"
-        }
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "While we are at it, let's plot the graphviz representation of the model. This shows us the inner workings of the `WeightedSumFitter` class which defines our synthetic control model with a sum to 1 constraint on the donor weights (here labelled as `coeffs`). This will be particularly useful when we come to exploring custom priors (see below)."
+      "text/plain": [
+       "Inference data with groups:\n",
+       "\t> posterior\n",
+       "\t> posterior_predictive\n",
+       "\t> sample_stats\n",
+       "\t> prior\n",
+       "\t> prior_predictive\n",
+       "\t> observed_data\n",
+       "\t> constant_data"
       ]
-    },
+     },
+     "execution_count": null,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "result.idata"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Check the MCMC chain mixing via the `Rhat` statistic."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-28T22:18:04.305912Z",
+     "iopub.status.busy": "2026-02-28T22:18:04.305819Z",
+     "iopub.status.idle": "2026-02-28T22:18:04.360163Z",
+     "shell.execute_reply": "2026-02-28T22:18:04.359804Z"
+    }
+   },
+   "outputs": [
     {
-      "cell_type": "code",
-      "metadata": {
-        "execution": {
-          "iopub.execute_input": "2026-02-28T22:18:03.991291Z",
-          "iopub.status.busy": "2026-02-28T22:18:03.991227Z",
-          "iopub.status.idle": "2026-02-28T22:18:04.263893Z",
-          "shell.execute_reply": "2026-02-28T22:18:04.263445Z"
-        }
+     "data": {
+      "application/vnd.positron.dataexplorer+json": {
+       "comm_id": "59d9b59e-5aff-41b1-8532-67159961a16e",
+       "shape": {
+        "columns": 9,
+        "rows": 16
+       },
+       "source": "pandas",
+       "title": "pandas",
+       "version": 1
       },
-      "source": [
-        "result.model.to_graphviz()"
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>mean</th>\n",
+       "      <th>sd</th>\n",
+       "      <th>hdi_3%</th>\n",
+       "      <th>hdi_97%</th>\n",
+       "      <th>mcse_mean</th>\n",
+       "      <th>mcse_sd</th>\n",
+       "      <th>ess_bulk</th>\n",
+       "      <th>ess_tail</th>\n",
+       "      <th>r_hat</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>beta[UK, Australia]</th>\n",
+       "      <td>0.126</td>\n",
+       "      <td>0.073</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>0.250</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>625.0</td>\n",
+       "      <td>425.0</td>\n",
+       "      <td>1.01</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta[UK, Austria]</th>\n",
+       "      <td>0.043</td>\n",
+       "      <td>0.041</td>\n",
+       "      <td>0.000</td>\n",
+       "      <td>0.120</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>987.0</td>\n",
+       "      <td>873.0</td>\n",
+       "      <td>1.00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta[UK, Belgium]</th>\n",
+       "      <td>0.049</td>\n",
+       "      <td>0.045</td>\n",
+       "      <td>0.000</td>\n",
+       "      <td>0.131</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>680.0</td>\n",
+       "      <td>509.0</td>\n",
+       "      <td>1.01</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta[UK, Canada]</th>\n",
+       "      <td>0.039</td>\n",
+       "      <td>0.022</td>\n",
+       "      <td>0.000</td>\n",
+       "      <td>0.075</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>0.000</td>\n",
+       "      <td>593.0</td>\n",
+       "      <td>484.0</td>\n",
+       "      <td>1.01</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta[UK, Denmark]</th>\n",
+       "      <td>0.093</td>\n",
+       "      <td>0.065</td>\n",
+       "      <td>0.000</td>\n",
+       "      <td>0.206</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>800.0</td>\n",
+       "      <td>930.0</td>\n",
+       "      <td>1.00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta[UK, Finland]</th>\n",
+       "      <td>0.039</td>\n",
+       "      <td>0.038</td>\n",
+       "      <td>0.000</td>\n",
+       "      <td>0.109</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>658.0</td>\n",
+       "      <td>608.0</td>\n",
+       "      <td>1.00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta[UK, France]</th>\n",
+       "      <td>0.028</td>\n",
+       "      <td>0.026</td>\n",
+       "      <td>0.000</td>\n",
+       "      <td>0.078</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>806.0</td>\n",
+       "      <td>535.0</td>\n",
+       "      <td>1.00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta[UK, Germany]</th>\n",
+       "      <td>0.026</td>\n",
+       "      <td>0.025</td>\n",
+       "      <td>0.000</td>\n",
+       "      <td>0.071</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>862.0</td>\n",
+       "      <td>810.0</td>\n",
+       "      <td>1.00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta[UK, Iceland]</th>\n",
+       "      <td>0.152</td>\n",
+       "      <td>0.041</td>\n",
+       "      <td>0.076</td>\n",
+       "      <td>0.231</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>1042.0</td>\n",
+       "      <td>1051.0</td>\n",
+       "      <td>1.00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta[UK, Luxemburg]</th>\n",
+       "      <td>0.050</td>\n",
+       "      <td>0.046</td>\n",
+       "      <td>0.000</td>\n",
+       "      <td>0.136</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>643.0</td>\n",
+       "      <td>617.0</td>\n",
+       "      <td>1.01</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta[UK, Netherlands]</th>\n",
+       "      <td>0.048</td>\n",
+       "      <td>0.043</td>\n",
+       "      <td>0.000</td>\n",
+       "      <td>0.128</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>1045.0</td>\n",
+       "      <td>859.0</td>\n",
+       "      <td>1.00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta[UK, New_Zealand]</th>\n",
+       "      <td>0.065</td>\n",
+       "      <td>0.054</td>\n",
+       "      <td>0.000</td>\n",
+       "      <td>0.165</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>722.0</td>\n",
+       "      <td>658.0</td>\n",
+       "      <td>1.00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta[UK, Norway]</th>\n",
+       "      <td>0.081</td>\n",
+       "      <td>0.045</td>\n",
+       "      <td>0.000</td>\n",
+       "      <td>0.154</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>608.0</td>\n",
+       "      <td>485.0</td>\n",
+       "      <td>1.00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta[UK, Sweden]</th>\n",
+       "      <td>0.097</td>\n",
+       "      <td>0.031</td>\n",
+       "      <td>0.036</td>\n",
+       "      <td>0.152</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>1088.0</td>\n",
+       "      <td>935.0</td>\n",
+       "      <td>1.00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta[UK, Switzerland]</th>\n",
+       "      <td>0.065</td>\n",
+       "      <td>0.056</td>\n",
+       "      <td>0.000</td>\n",
+       "      <td>0.171</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>4266.0</td>\n",
+       "      <td>2351.0</td>\n",
+       "      <td>1.00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>y_hat_sigma[UK]</th>\n",
+       "      <td>0.030</td>\n",
+       "      <td>0.005</td>\n",
+       "      <td>0.023</td>\n",
+       "      <td>0.039</td>\n",
+       "      <td>0.000</td>\n",
+       "      <td>0.000</td>\n",
+       "      <td>1405.0</td>\n",
+       "      <td>1571.0</td>\n",
+       "      <td>1.00</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
       ],
-      "execution_count": 10,
-      "outputs": [
-        {
-          "output_type": "execute_result",
-          "data": {
-            "image/svg+xml": [
-              "<?xml version=\"1.0\" encoding=\"UTF-8\" standalone=\"no\"?>\n",
-              "<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n",
-              " \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n",
-              "<!-- Generated by graphviz version 14.1.2 (0)\n",
-              " -->\n",
-              "<!-- Pages: 1 -->\n",
-              "<svg width=\"370pt\" height=\"491pt\"\n",
-              " viewBox=\"0.00 0.00 370.00 491.00\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n",
-              "<g id=\"graph0\" class=\"graph\" transform=\"scale(1 1) rotate(0) translate(4 486.95)\">\n",
-              "<polygon fill=\"white\" stroke=\"none\" points=\"-4,4 -4,-486.95 366,-486.95 366,4 -4,4\"/>\n",
-              "<g id=\"clust1\" class=\"cluster\">\n",
-              "<title>clusterobs_ind (23) x coeffs (15)</title>\n",
-              "<path fill=\"none\" stroke=\"black\" d=\"M20,-365.04C20,-365.04 155,-365.04 155,-365.04 161,-365.04 167,-371.04 167,-377.04 167,-377.04 167,-451.04 167,-451.04 167,-457.04 161,-463.04 155,-463.04 155,-463.04 20,-463.04 20,-463.04 14,-463.04 8,-457.04 8,-451.04 8,-451.04 8,-377.04 8,-377.04 8,-371.04 14,-365.04 20,-365.04\"/>\n",
-              "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"87.75\" y=\"-372.24\" font-family=\"Times,serif\" font-size=\"14.00\">obs_ind (23) x coeffs (15)</text>\n",
-              "</g>\n",
-              "<g id=\"clust2\" class=\"cluster\">\n",
-              "<title>clusterobs_ind (23) x treated_units (1)</title>\n",
-              "<path fill=\"none\" stroke=\"black\" d=\"M22,-8C22,-8 187,-8 187,-8 193,-8 199,-14 199,-20 199,-20 199,-321.23 199,-321.23 199,-327.23 193,-333.23 187,-333.23 187,-333.23 22,-333.23 22,-333.23 16,-333.23 10,-327.23 10,-321.23 10,-321.23 10,-20 10,-20 10,-14 16,-8 22,-8\"/>\n",
-              "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"104.75\" y=\"-15.2\" font-family=\"Times,serif\" font-size=\"14.00\">obs_ind (23) x treated_units (1)</text>\n",
-              "</g>\n",
-              "<g id=\"clust3\" class=\"cluster\">\n",
-              "<title>clustertreated_units (1) x coeffs (15)</title>\n",
-              "<path fill=\"none\" stroke=\"black\" d=\"M187,-353.13C187,-353.13 342,-353.13 342,-353.13 348,-353.13 354,-359.13 354,-365.13 354,-365.13 354,-462.95 354,-462.95 354,-468.95 348,-474.95 342,-474.95 342,-474.95 187,-474.95 187,-474.95 181,-474.95 175,-468.95 175,-462.95 175,-462.95 175,-365.13 175,-365.13 175,-359.13 181,-353.13 187,-353.13\"/>\n",
-              "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"264.62\" y=\"-360.33\" font-family=\"Times,serif\" font-size=\"14.00\">treated_units (1) x coeffs (15)</text>\n",
-              "</g>\n",
-              "<g id=\"clust4\" class=\"cluster\">\n",
-              "<title>clustertreated_units (1)</title>\n",
-              "<path fill=\"none\" stroke=\"black\" d=\"M219,-223.32C219,-223.32 333,-223.32 333,-223.32 339,-223.32 345,-229.32 345,-235.32 345,-235.32 345,-333.13 345,-333.13 345,-339.13 339,-345.13 333,-345.13 333,-345.13 219,-345.13 219,-345.13 213,-345.13 207,-339.13 207,-333.13 207,-333.13 207,-235.32 207,-235.32 207,-229.32 213,-223.32 219,-223.32\"/>\n",
-              "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"292.38\" y=\"-230.52\" font-family=\"Times,serif\" font-size=\"14.00\">treated_units (1)</text>\n",
-              "</g>\n",
-              "<!-- X -->\n",
-              "<g id=\"node1\" class=\"node\">\n",
-              "<title>X</title>\n",
-              "<path fill=\"lightgrey\" stroke=\"black\" d=\"M147,-455.04C147,-455.04 117,-455.04 117,-455.04 111,-455.04 105,-449.04 105,-443.04 105,-443.04 105,-409.54 105,-409.54 105,-403.54 111,-397.54 117,-397.54 117,-397.54 147,-397.54 147,-397.54 153,-397.54 159,-403.54 159,-409.54 159,-409.54 159,-443.04 159,-443.04 159,-449.04 153,-455.04 147,-455.04\"/>\n",
-              "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"132\" y=\"-437.74\" font-family=\"Times,serif\" font-size=\"14.00\">X</text>\n",
-              "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"132\" y=\"-421.24\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
-              "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"132\" y=\"-404.74\" font-family=\"Times,serif\" font-size=\"14.00\">Data</text>\n",
-              "</g>\n",
-              "<!-- mu -->\n",
-              "<g id=\"node3\" class=\"node\">\n",
-              "<title>mu</title>\n",
-              "<polygon fill=\"none\" stroke=\"black\" points=\"191.12,-325.23 100.88,-325.23 100.88,-267.73 191.12,-267.73 191.12,-325.23\"/>\n",
-              "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"146\" y=\"-307.93\" font-family=\"Times,serif\" font-size=\"14.00\">mu</text>\n",
-              "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"146\" y=\"-291.43\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
-              "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"146\" y=\"-274.93\" font-family=\"Times,serif\" font-size=\"14.00\">Deterministic</text>\n",
-              "</g>\n",
-              "<!-- X&#45;&gt;mu -->\n",
-              "<g id=\"edge3\" class=\"edge\">\n",
-              "<title>X&#45;&gt;mu</title>\n",
-              "<path fill=\"none\" stroke=\"black\" d=\"M135.07,-397.24C137.01,-379.51 139.55,-356.34 141.69,-336.78\"/>\n",
-              "<polygon fill=\"black\" stroke=\"black\" points=\"145.16,-337.29 142.77,-326.97 138.2,-336.52 145.16,-337.29\"/>\n",
-              "</g>\n",
-              "<!-- y -->\n",
-              "<g id=\"node2\" class=\"node\">\n",
-              "<title>y</title>\n",
-              "<path fill=\"lightgrey\" stroke=\"black\" d=\"M163,-98C163,-98 133,-98 133,-98 127,-98 121,-92 121,-86 121,-86 121,-52.5 121,-52.5 121,-46.5 127,-40.5 133,-40.5 133,-40.5 163,-40.5 163,-40.5 169,-40.5 175,-46.5 175,-52.5 175,-52.5 175,-86 175,-86 175,-92 169,-98 163,-98\"/>\n",
-              "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"148\" y=\"-80.7\" font-family=\"Times,serif\" font-size=\"14.00\">y</text>\n",
-              "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"148\" y=\"-64.2\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
-              "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"148\" y=\"-47.7\" font-family=\"Times,serif\" font-size=\"14.00\">Data</text>\n",
-              "</g>\n",
-              "<!-- y_hat -->\n",
-              "<g id=\"node4\" class=\"node\">\n",
-              "<title>y_hat</title>\n",
-              "<ellipse fill=\"lightgrey\" stroke=\"black\" cx=\"148\" cy=\"-174.66\" rx=\"41.01\" ry=\"40.66\"/>\n",
-              "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"148\" y=\"-186.11\" font-family=\"Times,serif\" font-size=\"14.00\">y_hat</text>\n",
-              "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"148\" y=\"-169.61\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
-              "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"148\" y=\"-153.11\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
-              "</g>\n",
-              "<!-- mu&#45;&gt;y_hat -->\n",
-              "<g id=\"edge5\" class=\"edge\">\n",
-              "<title>mu&#45;&gt;y_hat</title>\n",
-              "<path fill=\"none\" stroke=\"black\" d=\"M146.47,-267.38C146.67,-255.28 146.91,-240.73 147.15,-226.83\"/>\n",
-              "<polygon fill=\"black\" stroke=\"black\" points=\"150.64,-226.94 147.31,-216.88 143.65,-226.82 150.64,-226.94\"/>\n",
-              "</g>\n",
-              "<!-- y_hat&#45;&gt;y -->\n",
-              "<g id=\"edge1\" class=\"edge\">\n",
-              "<title>y_hat&#45;&gt;y</title>\n",
-              "<path fill=\"none\" stroke=\"black\" d=\"M148,-133.68C148,-125.83 148,-117.6 148,-109.76\"/>\n",
-              "<polygon fill=\"black\" stroke=\"black\" points=\"151.5,-109.79 148,-99.79 144.5,-109.79 151.5,-109.79\"/>\n",
-              "</g>\n",
-              "<!-- beta -->\n",
-              "<g id=\"node5\" class=\"node\">\n",
-              "<title>beta</title>\n",
-              "<ellipse fill=\"none\" stroke=\"black\" cx=\"228\" cy=\"-426.29\" rx=\"45.25\" ry=\"40.66\"/>\n",
-              "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"228\" y=\"-437.74\" font-family=\"Times,serif\" font-size=\"14.00\">beta</text>\n",
-              "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"228\" y=\"-421.24\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
-              "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"228\" y=\"-404.74\" font-family=\"Times,serif\" font-size=\"14.00\">Dirichlet</text>\n",
-              "</g>\n",
-              "<!-- beta&#45;&gt;mu -->\n",
-              "<g id=\"edge2\" class=\"edge\">\n",
-              "<title>beta&#45;&gt;mu</title>\n",
-              "<path fill=\"none\" stroke=\"black\" d=\"M205.81,-390.7C194.76,-373.49 181.39,-352.65 170.1,-335.04\"/>\n",
-              "<polygon fill=\"black\" stroke=\"black\" points=\"173.23,-333.43 164.88,-326.91 167.33,-337.21 173.23,-333.43\"/>\n",
-              "</g>\n",
-              "<!-- y_hat_sigma -->\n",
-              "<g id=\"node6\" class=\"node\">\n",
-              "<title>y_hat_sigma</title>\n",
-              "<ellipse fill=\"none\" stroke=\"black\" cx=\"276\" cy=\"-296.48\" rx=\"60.63\" ry=\"40.66\"/>\n",
-              "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"276\" y=\"-307.93\" font-family=\"Times,serif\" font-size=\"14.00\">y_hat_sigma</text>\n",
-              "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"276\" y=\"-291.43\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
-              "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"276\" y=\"-274.93\" font-family=\"Times,serif\" font-size=\"14.00\">Halfnormal</text>\n",
-              "</g>\n",
-              "<!-- y_hat_sigma&#45;&gt;y_hat -->\n",
-              "<g id=\"edge4\" class=\"edge\">\n",
-              "<title>y_hat_sigma&#45;&gt;y_hat</title>\n",
-              "<path fill=\"none\" stroke=\"black\" d=\"M243.01,-261.96C230.64,-249.63 216.34,-235.66 203,-223.32 197.95,-218.64 192.56,-213.8 187.2,-209.07\"/>\n",
-              "<polygon fill=\"black\" stroke=\"black\" points=\"189.83,-206.72 180,-202.77 185.22,-211.99 189.83,-206.72\"/>\n",
-              "</g>\n",
-              "</g>\n",
-              "</svg>\n"
-            ],
-            "text/plain": [
-              "<graphviz.graphs.Digraph at 0x3090470e0>"
-            ]
-          },
-          "metadata": {},
-          "execution_count": null
-        }
+      "text/plain": [
+       "                        mean     sd  hdi_3%  hdi_97%  mcse_mean  mcse_sd  \\\n",
+       "beta[UK, Australia]    0.126  0.073   0.002    0.250      0.003    0.001   \n",
+       "beta[UK, Austria]      0.043  0.041   0.000    0.120      0.001    0.001   \n",
+       "beta[UK, Belgium]      0.049  0.045   0.000    0.131      0.001    0.001   \n",
+       "beta[UK, Canada]       0.039  0.022   0.000    0.075      0.001    0.000   \n",
+       "beta[UK, Denmark]      0.093  0.065   0.000    0.206      0.002    0.001   \n",
+       "beta[UK, Finland]      0.039  0.038   0.000    0.109      0.001    0.001   \n",
+       "beta[UK, France]       0.028  0.026   0.000    0.078      0.001    0.001   \n",
+       "beta[UK, Germany]      0.026  0.025   0.000    0.071      0.001    0.001   \n",
+       "beta[UK, Iceland]      0.152  0.041   0.076    0.231      0.001    0.001   \n",
+       "beta[UK, Luxemburg]    0.050  0.046   0.000    0.136      0.001    0.001   \n",
+       "beta[UK, Netherlands]  0.048  0.043   0.000    0.128      0.001    0.001   \n",
+       "beta[UK, New_Zealand]  0.065  0.054   0.000    0.165      0.002    0.001   \n",
+       "beta[UK, Norway]       0.081  0.045   0.000    0.154      0.002    0.001   \n",
+       "beta[UK, Sweden]       0.097  0.031   0.036    0.152      0.001    0.001   \n",
+       "beta[UK, Switzerland]  0.065  0.056   0.000    0.171      0.001    0.001   \n",
+       "y_hat_sigma[UK]        0.030  0.005   0.023    0.039      0.000    0.000   \n",
+       "\n",
+       "                       ess_bulk  ess_tail  r_hat  \n",
+       "beta[UK, Australia]       625.0     425.0   1.01  \n",
+       "beta[UK, Austria]         987.0     873.0   1.00  \n",
+       "beta[UK, Belgium]         680.0     509.0   1.01  \n",
+       "beta[UK, Canada]          593.0     484.0   1.01  \n",
+       "beta[UK, Denmark]         800.0     930.0   1.00  \n",
+       "beta[UK, Finland]         658.0     608.0   1.00  \n",
+       "beta[UK, France]          806.0     535.0   1.00  \n",
+       "beta[UK, Germany]         862.0     810.0   1.00  \n",
+       "beta[UK, Iceland]        1042.0    1051.0   1.00  \n",
+       "beta[UK, Luxemburg]       643.0     617.0   1.01  \n",
+       "beta[UK, Netherlands]    1045.0     859.0   1.00  \n",
+       "beta[UK, New_Zealand]     722.0     658.0   1.00  \n",
+       "beta[UK, Norway]          608.0     485.0   1.00  \n",
+       "beta[UK, Sweden]         1088.0     935.0   1.00  \n",
+       "beta[UK, Switzerland]    4266.0    2351.0   1.00  \n",
+       "y_hat_sigma[UK]          1405.0    1571.0   1.00  "
       ]
-    },
+     },
+     "execution_count": null,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "az.summary(result.idata, var_names=[\"~mu\"])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "You can inspect the traces in more detail with:\n",
+    "\n",
+    "```python\n",
+    "az.plot_trace(result.idata, var_names=\"~mu\", compact=False);\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-28T22:18:04.361284Z",
+     "iopub.status.busy": "2026-02-28T22:18:04.361215Z",
+     "iopub.status.idle": "2026-02-28T22:18:04.648110Z",
+     "shell.execute_reply": "2026-02-28T22:18:04.647794Z"
+    }
+   },
+   "outputs": [
     {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "We currently get some divergences, but these are mostly dealt with by increasing `tune` and `target_accept` sampling parameters. Nevertheless, the sampling of this dataset/model combination feels a little brittle."
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 700x800 with 3 Axes>"
       ]
-    },
-    {
-      "cell_type": "code",
-      "metadata": {
-        "execution": {
-          "iopub.execute_input": "2026-02-28T22:18:04.264959Z",
-          "iopub.status.busy": "2026-02-28T22:18:04.264888Z",
-          "iopub.status.idle": "2026-02-28T22:18:04.304055Z",
-          "shell.execute_reply": "2026-02-28T22:18:04.303739Z"
-        }
-      },
-      "source": [
-        "result.idata"
-      ],
-      "execution_count": 11,
-      "outputs": [
-        {
-          "output_type": "execute_result",
-          "data": {
-            "text/html": [
-              "\n",
-              "            <div>\n",
-              "              <div class='xr-header'>\n",
-              "                <div class=\"xr-obj-type\">arviz.InferenceData</div>\n",
-              "              </div>\n",
-              "              <ul class=\"xr-sections group-sections\">\n",
-              "              \n",
-              "            <li class = \"xr-section-item\">\n",
-              "                  <input id=\"idata_posterior4cb63143-b962-4765-810a-eef55a49ee31\" class=\"xr-section-summary-in\" type=\"checkbox\">\n",
-              "                  <label for=\"idata_posterior4cb63143-b962-4765-810a-eef55a49ee31\" class = \"xr-section-summary\">posterior</label>\n",
-              "                  <div class=\"xr-section-inline-details\"></div>\n",
-              "                  <div class=\"xr-section-details\">\n",
-              "                      <ul id=\"xr-dataset-coord-list\" class=\"xr-var-list\">\n",
-              "                          <div style=\"padding-left:2rem;\"><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
-              "<defs>\n",
-              "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
-              "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
-              "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
-              "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
-              "</symbol>\n",
-              "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
-              "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
-              "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
-              "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
-              "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
-              "</symbol>\n",
-              "</defs>\n",
-              "</svg>\n",
-              "<style>/* CSS stylesheet for displaying xarray objects in notebooks */\n",
-              "\n",
-              ":root {\n",
-              "  --xr-font-color0: var(\n",
-              "    --jp-content-font-color0,\n",
-              "    var(--pst-color-text-base rgba(0, 0, 0, 1))\n",
-              "  );\n",
-              "  --xr-font-color2: var(\n",
-              "    --jp-content-font-color2,\n",
-              "    var(--pst-color-text-base, rgba(0, 0, 0, 0.54))\n",
-              "  );\n",
-              "  --xr-font-color3: var(\n",
-              "    --jp-content-font-color3,\n",
-              "    var(--pst-color-text-base, rgba(0, 0, 0, 0.38))\n",
-              "  );\n",
-              "  --xr-border-color: var(\n",
-              "    --jp-border-color2,\n",
-              "    hsl(from var(--pst-color-on-background, white) h s calc(l - 10))\n",
-              "  );\n",
-              "  --xr-disabled-color: var(\n",
-              "    --jp-layout-color3,\n",
-              "    hsl(from var(--pst-color-on-background, white) h s calc(l - 40))\n",
-              "  );\n",
-              "  --xr-background-color: var(\n",
-              "    --jp-layout-color0,\n",
-              "    var(--pst-color-on-background, white)\n",
-              "  );\n",
-              "  --xr-background-color-row-even: var(\n",
-              "    --jp-layout-color1,\n",
-              "    hsl(from var(--pst-color-on-background, white) h s calc(l - 5))\n",
-              "  );\n",
-              "  --xr-background-color-row-odd: var(\n",
-              "    --jp-layout-color2,\n",
-              "    hsl(from var(--pst-color-on-background, white) h s calc(l - 15))\n",
-              "  );\n",
-              "}\n",
-              "\n",
-              "html[theme=\"dark\"],\n",
-              "html[data-theme=\"dark\"],\n",
-              "body[data-theme=\"dark\"],\n",
-              "body.vscode-dark {\n",
-              "  --xr-font-color0: var(\n",
-              "    --jp-content-font-color0,\n",
-              "    var(--pst-color-text-base, rgba(255, 255, 255, 1))\n",
-              "  );\n",
-              "  --xr-font-color2: var(\n",
-              "    --jp-content-font-color2,\n",
-              "    var(--pst-color-text-base, rgba(255, 255, 255, 0.54))\n",
-              "  );\n",
-              "  --xr-font-color3: var(\n",
-              "    --jp-content-font-color3,\n",
-              "    var(--pst-color-text-base, rgba(255, 255, 255, 0.38))\n",
-              "  );\n",
-              "  --xr-border-color: var(\n",
-              "    --jp-border-color2,\n",
-              "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 10))\n",
-              "  );\n",
-              "  --xr-disabled-color: var(\n",
-              "    --jp-layout-color3,\n",
-              "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 40))\n",
-              "  );\n",
-              "  --xr-background-color: var(\n",
-              "    --jp-layout-color0,\n",
-              "    var(--pst-color-on-background, #111111)\n",
-              "  );\n",
-              "  --xr-background-color-row-even: var(\n",
-              "    --jp-layout-color1,\n",
-              "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 5))\n",
-              "  );\n",
-              "  --xr-background-color-row-odd: var(\n",
-              "    --jp-layout-color2,\n",
-              "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 15))\n",
-              "  );\n",
-              "}\n",
-              "\n",
-              ".xr-wrap {\n",
-              "  display: block !important;\n",
-              "  min-width: 300px;\n",
-              "  max-width: 700px;\n",
-              "  line-height: 1.6;\n",
-              "  padding-bottom: 4px;\n",
-              "}\n",
-              "\n",
-              ".xr-text-repr-fallback {\n",
-              "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
-              "  display: none;\n",
-              "}\n",
-              "\n",
-              ".xr-header {\n",
-              "  padding-top: 6px;\n",
-              "  padding-bottom: 6px;\n",
-              "}\n",
-              "\n",
-              ".xr-header {\n",
-              "  border-bottom: solid 1px var(--xr-border-color);\n",
-              "  margin-bottom: 4px;\n",
-              "}\n",
-              "\n",
-              ".xr-header > div,\n",
-              ".xr-header > ul {\n",
-              "  display: inline;\n",
-              "  margin-top: 0;\n",
-              "  margin-bottom: 0;\n",
-              "}\n",
-              "\n",
-              ".xr-obj-type,\n",
-              ".xr-obj-name {\n",
-              "  margin-left: 2px;\n",
-              "  margin-right: 10px;\n",
-              "}\n",
-              "\n",
-              ".xr-obj-type,\n",
-              ".xr-group-box-contents > label {\n",
-              "  color: var(--xr-font-color2);\n",
-              "  display: block;\n",
-              "}\n",
-              "\n",
-              ".xr-sections {\n",
-              "  padding-left: 0 !important;\n",
-              "  display: grid;\n",
-              "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
-              "  margin-block-start: 0;\n",
-              "  margin-block-end: 0;\n",
-              "}\n",
-              "\n",
-              ".xr-section-item {\n",
-              "  display: contents;\n",
-              "}\n",
-              "\n",
-              ".xr-section-item > input,\n",
-              ".xr-group-box-contents > input,\n",
-              ".xr-array-wrap > input {\n",
-              "  display: block;\n",
-              "  opacity: 0;\n",
-              "  height: 0;\n",
-              "  margin: 0;\n",
-              "}\n",
-              "\n",
-              ".xr-section-item > input + label,\n",
-              ".xr-var-item > input + label {\n",
-              "  color: var(--xr-disabled-color);\n",
-              "}\n",
-              "\n",
-              ".xr-section-item > input:enabled + label,\n",
-              ".xr-var-item > input:enabled + label,\n",
-              ".xr-array-wrap > input:enabled + label,\n",
-              ".xr-group-box-contents > input:enabled + label {\n",
-              "  cursor: pointer;\n",
-              "  color: var(--xr-font-color2);\n",
-              "}\n",
-              "\n",
-              ".xr-section-item > input:focus-visible + label,\n",
-              ".xr-var-item > input:focus-visible + label,\n",
-              ".xr-array-wrap > input:focus-visible + label,\n",
-              ".xr-group-box-contents > input:focus-visible + label {\n",
-              "  outline: auto;\n",
-              "}\n",
-              "\n",
-              ".xr-section-item > input:enabled + label:hover,\n",
-              ".xr-var-item > input:enabled + label:hover,\n",
-              ".xr-array-wrap > input:enabled + label:hover,\n",
-              ".xr-group-box-contents > input:enabled + label:hover {\n",
-              "  color: var(--xr-font-color0);\n",
-              "}\n",
-              "\n",
-              ".xr-section-summary {\n",
-              "  grid-column: 1;\n",
-              "  color: var(--xr-font-color2);\n",
-              "  font-weight: 500;\n",
-              "  white-space: nowrap;\n",
-              "}\n",
-              "\n",
-              ".xr-section-summary > em {\n",
-              "  font-weight: normal;\n",
-              "}\n",
-              "\n",
-              ".xr-span-grid {\n",
-              "  grid-column-end: -1;\n",
-              "}\n",
-              "\n",
-              ".xr-section-summary > span {\n",
-              "  display: inline-block;\n",
-              "  padding-left: 0.3em;\n",
-              "}\n",
-              "\n",
-              ".xr-group-box-contents > input:checked + label > span {\n",
-              "  display: inline-block;\n",
-              "  padding-left: 0.6em;\n",
-              "}\n",
-              "\n",
-              ".xr-section-summary-in:disabled + label {\n",
-              "  color: var(--xr-font-color2);\n",
-              "}\n",
-              "\n",
-              ".xr-section-summary-in + label:before {\n",
-              "  display: inline-block;\n",
-              "  content: \"►\";\n",
-              "  font-size: 11px;\n",
-              "  width: 15px;\n",
-              "  text-align: center;\n",
-              "}\n",
-              "\n",
-              ".xr-section-summary-in:disabled + label:before {\n",
-              "  color: var(--xr-disabled-color);\n",
-              "}\n",
-              "\n",
-              ".xr-section-summary-in:checked + label:before {\n",
-              "  content: \"▼\";\n",
-              "}\n",
-              "\n",
-              ".xr-section-summary-in:checked + label > span {\n",
-              "  display: none;\n",
-              "}\n",
-              "\n",
-              ".xr-section-summary,\n",
-              ".xr-section-inline-details,\n",
-              ".xr-group-box-contents > label {\n",
-              "  padding-top: 4px;\n",
-              "}\n",
-              "\n",
-              ".xr-section-inline-details {\n",
-              "  grid-column: 2 / -1;\n",
-              "}\n",
-              "\n",
-              ".xr-section-details {\n",
-              "  grid-column: 1 / -1;\n",
-              "  margin-top: 4px;\n",
-              "  margin-bottom: 5px;\n",
-              "}\n",
-              "\n",
-              ".xr-section-summary-in ~ .xr-section-details {\n",
-              "  display: none;\n",
-              "}\n",
-              "\n",
-              ".xr-section-summary-in:checked ~ .xr-section-details {\n",
-              "  display: contents;\n",
-              "}\n",
-              "\n",
-              ".xr-children {\n",
-              "  display: inline-grid;\n",
-              "  grid-template-columns: 100%;\n",
-              "  grid-column: 1 / -1;\n",
-              "  padding-top: 4px;\n",
-              "}\n",
-              "\n",
-              ".xr-group-box {\n",
-              "  display: inline-grid;\n",
-              "  grid-template-columns: 0px 30px auto;\n",
-              "}\n",
-              "\n",
-              ".xr-group-box-vline {\n",
-              "  grid-column-start: 1;\n",
-              "  border-right: 0.2em solid;\n",
-              "  border-color: var(--xr-border-color);\n",
-              "  width: 0px;\n",
-              "}\n",
-              "\n",
-              ".xr-group-box-hline {\n",
-              "  grid-column-start: 2;\n",
-              "  grid-row-start: 1;\n",
-              "  height: 1em;\n",
-              "  width: 26px;\n",
-              "  border-bottom: 0.2em solid;\n",
-              "  border-color: var(--xr-border-color);\n",
-              "}\n",
-              "\n",
-              ".xr-group-box-contents {\n",
-              "  grid-column-start: 3;\n",
-              "  padding-bottom: 4px;\n",
-              "}\n",
-              "\n",
-              ".xr-group-box-contents > label::before {\n",
-              "  content: \"📂\";\n",
-              "  padding-right: 0.3em;\n",
-              "}\n",
-              "\n",
-              ".xr-group-box-contents > input:checked + label::before {\n",
-              "  content: \"📁\";\n",
-              "}\n",
-              "\n",
-              ".xr-group-box-contents > input:checked + label {\n",
-              "  padding-bottom: 0px;\n",
-              "}\n",
-              "\n",
-              ".xr-group-box-contents > input:checked ~ .xr-sections {\n",
-              "  display: none;\n",
-              "}\n",
-              "\n",
-              ".xr-group-box-contents > input + label > span {\n",
-              "  display: none;\n",
-              "}\n",
-              "\n",
-              ".xr-group-box-ellipsis {\n",
-              "  font-size: 1.4em;\n",
-              "  font-weight: 900;\n",
-              "  color: var(--xr-font-color2);\n",
-              "  letter-spacing: 0.15em;\n",
-              "  cursor: default;\n",
-              "}\n",
-              "\n",
-              ".xr-array-wrap {\n",
-              "  grid-column: 1 / -1;\n",
-              "  display: grid;\n",
-              "  grid-template-columns: 20px auto;\n",
-              "}\n",
-              "\n",
-              ".xr-array-wrap > label {\n",
-              "  grid-column: 1;\n",
-              "  vertical-align: top;\n",
-              "}\n",
-              "\n",
-              ".xr-preview {\n",
-              "  color: var(--xr-font-color3);\n",
-              "}\n",
-              "\n",
-              ".xr-array-preview,\n",
-              ".xr-array-data {\n",
-              "  padding: 0 5px !important;\n",
-              "  grid-column: 2;\n",
-              "}\n",
-              "\n",
-              ".xr-array-data,\n",
-              ".xr-array-in:checked ~ .xr-array-preview {\n",
-              "  display: none;\n",
-              "}\n",
-              "\n",
-              ".xr-array-in:checked ~ .xr-array-data,\n",
-              ".xr-array-preview {\n",
-              "  display: inline-block;\n",
-              "}\n",
-              "\n",
-              ".xr-dim-list {\n",
-              "  display: inline-block !important;\n",
-              "  list-style: none;\n",
-              "  padding: 0 !important;\n",
-              "  margin: 0;\n",
-              "}\n",
-              "\n",
-              ".xr-dim-list li {\n",
-              "  display: inline-block;\n",
-              "  padding: 0;\n",
-              "  margin: 0;\n",
-              "}\n",
-              "\n",
-              ".xr-dim-list:before {\n",
-              "  content: \"(\";\n",
-              "}\n",
-              "\n",
-              ".xr-dim-list:after {\n",
-              "  content: \")\";\n",
-              "}\n",
-              "\n",
-              ".xr-dim-list li:not(:last-child):after {\n",
-              "  content: \",\";\n",
-              "  padding-right: 5px;\n",
-              "}\n",
-              "\n",
-              ".xr-has-index {\n",
-              "  font-weight: bold;\n",
-              "}\n",
-              "\n",
-              ".xr-var-list,\n",
-              ".xr-var-item {\n",
-              "  display: contents;\n",
-              "}\n",
-              "\n",
-              ".xr-var-item > div,\n",
-              ".xr-var-item label,\n",
-              ".xr-var-item > .xr-var-name span {\n",
-              "  background-color: var(--xr-background-color-row-even);\n",
-              "  border-color: var(--xr-background-color-row-odd);\n",
-              "  margin-bottom: 0;\n",
-              "  padding-top: 2px;\n",
-              "}\n",
-              "\n",
-              ".xr-var-item > .xr-var-name:hover span {\n",
-              "  padding-right: 5px;\n",
-              "}\n",
-              "\n",
-              ".xr-var-list > li:nth-child(odd) > div,\n",
-              ".xr-var-list > li:nth-child(odd) > label,\n",
-              ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
-              "  background-color: var(--xr-background-color-row-odd);\n",
-              "  border-color: var(--xr-background-color-row-even);\n",
-              "}\n",
-              "\n",
-              ".xr-var-name {\n",
-              "  grid-column: 1;\n",
-              "}\n",
-              "\n",
-              ".xr-var-dims {\n",
-              "  grid-column: 2;\n",
-              "}\n",
-              "\n",
-              ".xr-var-dtype {\n",
-              "  grid-column: 3;\n",
-              "  text-align: right;\n",
-              "  color: var(--xr-font-color2);\n",
-              "}\n",
-              "\n",
-              ".xr-var-preview {\n",
-              "  grid-column: 4;\n",
-              "}\n",
-              "\n",
-              ".xr-index-preview {\n",
-              "  grid-column: 2 / 5;\n",
-              "  color: var(--xr-font-color2);\n",
-              "}\n",
-              "\n",
-              ".xr-var-name,\n",
-              ".xr-var-dims,\n",
-              ".xr-var-dtype,\n",
-              ".xr-preview,\n",
-              ".xr-attrs dt {\n",
-              "  white-space: nowrap;\n",
-              "  overflow: hidden;\n",
-              "  text-overflow: ellipsis;\n",
-              "  padding-right: 10px;\n",
-              "}\n",
-              "\n",
-              ".xr-var-name:hover,\n",
-              ".xr-var-dims:hover,\n",
-              ".xr-var-dtype:hover,\n",
-              ".xr-attrs dt:hover {\n",
-              "  overflow: visible;\n",
-              "  width: auto;\n",
-              "  z-index: 1;\n",
-              "}\n",
-              "\n",
-              ".xr-var-attrs,\n",
-              ".xr-var-data,\n",
-              ".xr-index-data {\n",
-              "  display: none;\n",
-              "  border-top: 2px dotted var(--xr-background-color);\n",
-              "  padding-bottom: 20px !important;\n",
-              "  padding-top: 10px !important;\n",
-              "}\n",
-              "\n",
-              ".xr-var-attrs-in + label,\n",
-              ".xr-var-data-in + label,\n",
-              ".xr-index-data-in + label {\n",
-              "  padding: 0 1px;\n",
-              "}\n",
-              "\n",
-              ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
-              ".xr-var-data-in:checked ~ .xr-var-data,\n",
-              ".xr-index-data-in:checked ~ .xr-index-data {\n",
-              "  display: block;\n",
-              "}\n",
-              "\n",
-              ".xr-var-data > table {\n",
-              "  float: right;\n",
-              "}\n",
-              "\n",
-              ".xr-var-data > pre,\n",
-              ".xr-index-data > pre,\n",
-              ".xr-var-data > table > tbody > tr {\n",
-              "  background-color: transparent !important;\n",
-              "}\n",
-              "\n",
-              ".xr-var-name span,\n",
-              ".xr-var-data,\n",
-              ".xr-index-name div,\n",
-              ".xr-index-data,\n",
-              ".xr-attrs {\n",
-              "  padding-left: 25px !important;\n",
-              "}\n",
-              "\n",
-              ".xr-attrs,\n",
-              ".xr-var-attrs,\n",
-              ".xr-var-data,\n",
-              ".xr-index-data {\n",
-              "  grid-column: 1 / -1;\n",
-              "}\n",
-              "\n",
-              "dl.xr-attrs {\n",
-              "  padding: 0;\n",
-              "  margin: 0;\n",
-              "  display: grid;\n",
-              "  grid-template-columns: 125px auto;\n",
-              "}\n",
-              "\n",
-              ".xr-attrs dt,\n",
-              ".xr-attrs dd {\n",
-              "  padding: 0;\n",
-              "  margin: 0;\n",
-              "  float: left;\n",
-              "  padding-right: 10px;\n",
-              "  width: auto;\n",
-              "}\n",
-              "\n",
-              ".xr-attrs dt {\n",
-              "  font-weight: normal;\n",
-              "  grid-column: 1;\n",
-              "}\n",
-              "\n",
-              ".xr-attrs dt:hover span {\n",
-              "  display: inline-block;\n",
-              "  background: var(--xr-background-color);\n",
-              "  padding-right: 10px;\n",
-              "}\n",
-              "\n",
-              ".xr-attrs dd {\n",
-              "  grid-column: 2;\n",
-              "  white-space: pre-wrap;\n",
-              "  word-break: break-all;\n",
-              "}\n",
-              "\n",
-              ".xr-icon-database,\n",
-              ".xr-icon-file-text2,\n",
-              ".xr-no-icon {\n",
-              "  display: inline-block;\n",
-              "  vertical-align: middle;\n",
-              "  width: 1em;\n",
-              "  height: 1.5em !important;\n",
-              "  stroke-width: 0;\n",
-              "  stroke: currentColor;\n",
-              "  fill: currentColor;\n",
-              "}\n",
-              "\n",
-              ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
-              ".xr-var-data-in:checked + label > .xr-icon-database,\n",
-              ".xr-index-data-in:checked + label > .xr-icon-database {\n",
-              "  color: var(--xr-font-color0);\n",
-              "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
-              "  stroke-width: 0.8px;\n",
-              "}\n",
-              "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 1MB\n",
-              "Dimensions:        (chain: 4, draw: 1000, treated_units: 1, coeffs: 15,\n",
-              "                    obs_ind: 30)\n",
-              "Coordinates:\n",
-              "  * chain          (chain) int64 32B 0 1 2 3\n",
-              "  * draw           (draw) int64 8kB 0 1 2 3 4 5 6 ... 994 995 996 997 998 999\n",
-              "  * treated_units  (treated_units) &lt;U2 8B &#x27;UK&#x27;\n",
-              "  * coeffs         (coeffs) &lt;U11 660B &#x27;Australia&#x27; &#x27;Austria&#x27; ... &#x27;Switzerland&#x27;\n",
-              "  * obs_ind        (obs_ind) int64 240B 0 1 2 3 4 5 6 7 ... 23 24 25 26 27 28 29\n",
-              "Data variables:\n",
-              "    beta           (chain, draw, treated_units, coeffs) float64 480kB 0.2494 ...\n",
-              "    y_hat_sigma    (chain, draw, treated_units) float64 32kB 0.0351 ... 0.02528\n",
-              "    mu             (chain, draw, obs_ind, treated_units) float64 960kB 4.598 ...\n",
-              "Attributes:\n",
-              "    created_at:                 2026-02-28T22:18:02.952677+00:00\n",
-              "    arviz_version:              0.23.4\n",
-              "    inference_library:          pymc\n",
-              "    inference_library_version:  5.27.1\n",
-              "    sampling_time:              80.99764895439148\n",
-              "    tuning_steps:               1000</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-71a1220d-b17b-4574-9e6d-40f13441e1db' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-71a1220d-b17b-4574-9e6d-40f13441e1db' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>chain</span>: 4</li><li><span class='xr-has-index'>draw</span>: 1000</li><li><span class='xr-has-index'>treated_units</span>: 1</li><li><span class='xr-has-index'>coeffs</span>: 15</li><li><span class='xr-has-index'>obs_ind</span>: 30</li></ul></div></li><li class='xr-section-item'><input id='section-33cc5605-fb91-4a5e-af80-f441e2de1871' class='xr-section-summary-in' type='checkbox' checked /><label for='section-33cc5605-fb91-4a5e-af80-f441e2de1871' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>chain</span></div><div class='xr-var-dims'>(chain)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3</div><input id='attrs-04697f21-092a-4987-9105-b11b2d499e6b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-04697f21-092a-4987-9105-b11b2d499e6b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5980dd08-842c-4e20-8869-b27b827ad81d' class='xr-var-data-in' type='checkbox'><label for='data-5980dd08-842c-4e20-8869-b27b827ad81d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 1, 2, 3])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>draw</span></div><div class='xr-var-dims'>(draw)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 995 996 997 998 999</div><input id='attrs-797abe43-0c29-4000-a404-f851cde2ec5e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-797abe43-0c29-4000-a404-f851cde2ec5e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b0f7b4bd-e352-469e-b952-e7817403db44' class='xr-var-data-in' type='checkbox'><label for='data-b0f7b4bd-e352-469e-b952-e7817403db44' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([  0,   1,   2, ..., 997, 998, 999], shape=(1000,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>treated_units</span></div><div class='xr-var-dims'>(treated_units)</div><div class='xr-var-dtype'>&lt;U2</div><div class='xr-var-preview xr-preview'>&#x27;UK&#x27;</div><input id='attrs-ca7aa59b-12fa-4f51-a8df-6b8e8d1fd182' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ca7aa59b-12fa-4f51-a8df-6b8e8d1fd182' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-62348bf2-8006-424f-b8f5-1125f1eb930a' class='xr-var-data-in' type='checkbox'><label for='data-62348bf2-8006-424f-b8f5-1125f1eb930a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;UK&#x27;], dtype=&#x27;&lt;U2&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>coeffs</span></div><div class='xr-var-dims'>(coeffs)</div><div class='xr-var-dtype'>&lt;U11</div><div class='xr-var-preview xr-preview'>&#x27;Australia&#x27; ... &#x27;Switzerland&#x27;</div><input id='attrs-bbcc3339-9148-47b3-ae03-d61a80f7d900' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bbcc3339-9148-47b3-ae03-d61a80f7d900' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b402b595-c3ec-49f0-80f7-f9742c8c8ace' class='xr-var-data-in' type='checkbox'><label for='data-b402b595-c3ec-49f0-80f7-f9742c8c8ace' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;Australia&#x27;, &#x27;Austria&#x27;, &#x27;Belgium&#x27;, &#x27;Canada&#x27;, &#x27;Denmark&#x27;, &#x27;Finland&#x27;,\n",
-              "       &#x27;France&#x27;, &#x27;Germany&#x27;, &#x27;Iceland&#x27;, &#x27;Luxemburg&#x27;, &#x27;Netherlands&#x27;,\n",
-              "       &#x27;New_Zealand&#x27;, &#x27;Norway&#x27;, &#x27;Sweden&#x27;, &#x27;Switzerland&#x27;], dtype=&#x27;&lt;U11&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>obs_ind</span></div><div class='xr-var-dims'>(obs_ind)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 24 25 26 27 28 29</div><input id='attrs-ebbdcb79-d4d9-452b-8aed-1fdac3a1987b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ebbdcb79-d4d9-452b-8aed-1fdac3a1987b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-739b97d6-96fa-4eba-9665-eca4e2373714' class='xr-var-data-in' type='checkbox'><label for='data-739b97d6-96fa-4eba-9665-eca4e2373714' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
-              "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-cb2edee7-7e2a-4b65-a060-93089366276f' class='xr-section-summary-in' type='checkbox' checked /><label for='section-cb2edee7-7e2a-4b65-a060-93089366276f' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>beta</span></div><div class='xr-var-dims'>(chain, draw, treated_units, coeffs)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.2494 0.0209 ... 0.1104 0.007072</div><input id='attrs-6b2d1228-f9c1-45d4-b838-f37cae79bc53' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6b2d1228-f9c1-45d4-b838-f37cae79bc53' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5d622338-8863-47da-b376-7d5b647e1fd1' class='xr-var-data-in' type='checkbox'><label for='data-5d622338-8863-47da-b376-7d5b647e1fd1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[[2.49414004e-01, 2.09032697e-02, 7.73666850e-02, ...,\n",
-              "          1.68627811e-01, 9.91464062e-02, 4.48275369e-02]],\n",
-              "\n",
-              "        [[1.66595188e-01, 1.22505258e-02, 6.71016098e-02, ...,\n",
-              "          1.64229907e-01, 1.15780013e-01, 1.09416450e-02]],\n",
-              "\n",
-              "        [[2.10028997e-01, 1.91502687e-02, 5.21781485e-02, ...,\n",
-              "          1.51145707e-01, 9.45578823e-02, 4.03070934e-02]],\n",
-              "\n",
-              "        ...,\n",
-              "\n",
-              "        [[3.28327082e-02, 1.66209333e-04, 8.04270998e-02, ...,\n",
-              "          2.04904456e-02, 3.71167802e-02, 1.39545344e-01]],\n",
-              "\n",
-              "        [[2.90251146e-02, 7.22782354e-05, 1.11902403e-01, ...,\n",
-              "          1.57151999e-02, 3.95541419e-02, 2.26518326e-01]],\n",
-              "\n",
-              "        [[1.91725722e-02, 2.66189333e-04, 4.70178913e-02, ...,\n",
-              "          4.81575583e-02, 1.46978342e-01, 1.01855299e-02]]],\n",
-              "\n",
-              "...\n",
-              "       [[[3.85317531e-03, 8.76717519e-02, 1.30939501e-01, ...,\n",
-              "          5.20261532e-02, 1.05058220e-01, 1.47772350e-01]],\n",
-              "\n",
-              "        [[5.50278183e-03, 6.48637474e-02, 4.49566637e-02, ...,\n",
-              "          1.65142159e-01, 1.42009353e-01, 2.11489999e-01]],\n",
-              "\n",
-              "        [[5.10752315e-03, 8.98549404e-02, 4.10482519e-02, ...,\n",
-              "          1.13808279e-01, 1.54314694e-01, 1.87698704e-01]],\n",
-              "\n",
-              "        ...,\n",
-              "\n",
-              "        [[1.03983716e-01, 1.35186968e-02, 5.45955200e-03, ...,\n",
-              "          5.15547270e-02, 6.11245459e-02, 1.00353555e-01]],\n",
-              "\n",
-              "        [[2.82057626e-01, 1.10137164e-02, 6.40469294e-03, ...,\n",
-              "          3.67117307e-02, 3.92534845e-02, 1.93581771e-02]],\n",
-              "\n",
-              "        [[6.10290713e-02, 7.24285220e-02, 9.48573407e-02, ...,\n",
-              "          9.80964617e-03, 1.10399301e-01, 7.07243339e-03]]]],\n",
-              "      shape=(4, 1000, 1, 15))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>y_hat_sigma</span></div><div class='xr-var-dims'>(chain, draw, treated_units)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0351 0.0294 ... 0.03689 0.02528</div><input id='attrs-36084804-e9d6-4b99-8c0f-7da238ba867d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-36084804-e9d6-4b99-8c0f-7da238ba867d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-390769e0-6f5a-4f5d-8b2f-2ff67c0818bd' class='xr-var-data-in' type='checkbox'><label for='data-390769e0-6f5a-4f5d-8b2f-2ff67c0818bd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[0.03510254],\n",
-              "        [0.02940036],\n",
-              "        [0.02729274],\n",
-              "        ...,\n",
-              "        [0.03304084],\n",
-              "        [0.03411083],\n",
-              "        [0.0376023 ]],\n",
-              "\n",
-              "       [[0.02354685],\n",
-              "        [0.03116192],\n",
-              "        [0.03076256],\n",
-              "        ...,\n",
-              "        [0.02904023],\n",
-              "        [0.03120284],\n",
-              "        [0.02955661]],\n",
-              "\n",
-              "       [[0.02779375],\n",
-              "        [0.02382695],\n",
-              "        [0.02495051],\n",
-              "        ...,\n",
-              "        [0.02744217],\n",
-              "        [0.02690095],\n",
-              "        [0.02578526]],\n",
-              "\n",
-              "       [[0.02460047],\n",
-              "        [0.03326078],\n",
-              "        [0.03351123],\n",
-              "        ...,\n",
-              "        [0.03335161],\n",
-              "        [0.03688695],\n",
-              "        [0.02527769]]], shape=(4, 1000, 1))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mu</span></div><div class='xr-var-dims'>(chain, draw, obs_ind, treated_units)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.598 4.592 4.61 ... 5.252 5.323</div><input id='attrs-0bc79693-331f-4b9e-84ca-a982a5090001' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0bc79693-331f-4b9e-84ca-a982a5090001' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-77299b0d-8dcd-41a8-b509-19fca412dcc3' class='xr-var-data-in' type='checkbox'><label for='data-77299b0d-8dcd-41a8-b509-19fca412dcc3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[[4.59833117],\n",
-              "         [4.59226336],\n",
-              "         [4.60959677],\n",
-              "         ...,\n",
-              "         [5.27027976],\n",
-              "         [5.26391441],\n",
-              "         [5.3252275 ]],\n",
-              "\n",
-              "        [[4.60216765],\n",
-              "         [4.59180058],\n",
-              "         [4.60879967],\n",
-              "         ...,\n",
-              "         [5.26885799],\n",
-              "         [5.26253771],\n",
-              "         [5.3226145 ]],\n",
-              "\n",
-              "        [[4.60042414],\n",
-              "         [4.59164849],\n",
-              "         [4.61156014],\n",
-              "         ...,\n",
-              "...\n",
-              "         ...,\n",
-              "         [5.22910783],\n",
-              "         [5.22460102],\n",
-              "         [5.29388393]],\n",
-              "\n",
-              "        [[4.59806009],\n",
-              "         [4.57967034],\n",
-              "         [4.60526628],\n",
-              "         ...,\n",
-              "         [5.25173076],\n",
-              "         [5.24714987],\n",
-              "         [5.33897475]],\n",
-              "\n",
-              "        [[4.59419661],\n",
-              "         [4.572595  ],\n",
-              "         [4.59604882],\n",
-              "         ...,\n",
-              "         [5.25837307],\n",
-              "         [5.25164016],\n",
-              "         [5.32343783]]]], shape=(4, 1000, 30, 1))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-47652ef3-95ed-42a1-8aee-ab607183c979' class='xr-section-summary-in' type='checkbox' checked /><label for='section-47652ef3-95ed-42a1-8aee-ab607183c979' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>created_at :</span></dt><dd>2026-02-28T22:18:02.952677+00:00</dd><dt><span>arviz_version :</span></dt><dd>0.23.4</dd><dt><span>inference_library :</span></dt><dd>pymc</dd><dt><span>inference_library_version :</span></dt><dd>5.27.1</dd><dt><span>sampling_time :</span></dt><dd>80.99764895439148</dd><dt><span>tuning_steps :</span></dt><dd>1000</dd></dl></div></li></ul></div></div><br></div>\n",
-              "                      </ul>\n",
-              "                  </div>\n",
-              "            </li>\n",
-              "            \n",
-              "            <li class = \"xr-section-item\">\n",
-              "                  <input id=\"idata_posterior_predictived8d218cc-8b72-4950-bd27-67673830b9e4\" class=\"xr-section-summary-in\" type=\"checkbox\">\n",
-              "                  <label for=\"idata_posterior_predictived8d218cc-8b72-4950-bd27-67673830b9e4\" class = \"xr-section-summary\">posterior_predictive</label>\n",
-              "                  <div class=\"xr-section-inline-details\"></div>\n",
-              "                  <div class=\"xr-section-details\">\n",
-              "                      <ul id=\"xr-dataset-coord-list\" class=\"xr-var-list\">\n",
-              "                          <div style=\"padding-left:2rem;\"><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
-              "<defs>\n",
-              "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
-              "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
-              "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
-              "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
-              "</symbol>\n",
-              "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
-              "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
-              "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
-              "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
-              "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
-              "</symbol>\n",
-              "</defs>\n",
-              "</svg>\n",
-              "<style>/* CSS stylesheet for displaying xarray objects in notebooks */\n",
-              "\n",
-              ":root {\n",
-              "  --xr-font-color0: var(\n",
-              "    --jp-content-font-color0,\n",
-              "    var(--pst-color-text-base rgba(0, 0, 0, 1))\n",
-              "  );\n",
-              "  --xr-font-color2: var(\n",
-              "    --jp-content-font-color2,\n",
-              "    var(--pst-color-text-base, rgba(0, 0, 0, 0.54))\n",
-              "  );\n",
-              "  --xr-font-color3: var(\n",
-              "    --jp-content-font-color3,\n",
-              "    var(--pst-color-text-base, rgba(0, 0, 0, 0.38))\n",
-              "  );\n",
-              "  --xr-border-color: var(\n",
-              "    --jp-border-color2,\n",
-              "    hsl(from var(--pst-color-on-background, white) h s calc(l - 10))\n",
-              "  );\n",
-              "  --xr-disabled-color: var(\n",
-              "    --jp-layout-color3,\n",
-              "    hsl(from var(--pst-color-on-background, white) h s calc(l - 40))\n",
-              "  );\n",
-              "  --xr-background-color: var(\n",
-              "    --jp-layout-color0,\n",
-              "    var(--pst-color-on-background, white)\n",
-              "  );\n",
-              "  --xr-background-color-row-even: var(\n",
-              "    --jp-layout-color1,\n",
-              "    hsl(from var(--pst-color-on-background, white) h s calc(l - 5))\n",
-              "  );\n",
-              "  --xr-background-color-row-odd: var(\n",
-              "    --jp-layout-color2,\n",
-              "    hsl(from var(--pst-color-on-background, white) h s calc(l - 15))\n",
-              "  );\n",
-              "}\n",
-              "\n",
-              "html[theme=\"dark\"],\n",
-              "html[data-theme=\"dark\"],\n",
-              "body[data-theme=\"dark\"],\n",
-              "body.vscode-dark {\n",
-              "  --xr-font-color0: var(\n",
-              "    --jp-content-font-color0,\n",
-              "    var(--pst-color-text-base, rgba(255, 255, 255, 1))\n",
-              "  );\n",
-              "  --xr-font-color2: var(\n",
-              "    --jp-content-font-color2,\n",
-              "    var(--pst-color-text-base, rgba(255, 255, 255, 0.54))\n",
-              "  );\n",
-              "  --xr-font-color3: var(\n",
-              "    --jp-content-font-color3,\n",
-              "    var(--pst-color-text-base, rgba(255, 255, 255, 0.38))\n",
-              "  );\n",
-              "  --xr-border-color: var(\n",
-              "    --jp-border-color2,\n",
-              "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 10))\n",
-              "  );\n",
-              "  --xr-disabled-color: var(\n",
-              "    --jp-layout-color3,\n",
-              "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 40))\n",
-              "  );\n",
-              "  --xr-background-color: var(\n",
-              "    --jp-layout-color0,\n",
-              "    var(--pst-color-on-background, #111111)\n",
-              "  );\n",
-              "  --xr-background-color-row-even: var(\n",
-              "    --jp-layout-color1,\n",
-              "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 5))\n",
-              "  );\n",
-              "  --xr-background-color-row-odd: var(\n",
-              "    --jp-layout-color2,\n",
-              "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 15))\n",
-              "  );\n",
-              "}\n",
-              "\n",
-              ".xr-wrap {\n",
-              "  display: block !important;\n",
-              "  min-width: 300px;\n",
-              "  max-width: 700px;\n",
-              "  line-height: 1.6;\n",
-              "  padding-bottom: 4px;\n",
-              "}\n",
-              "\n",
-              ".xr-text-repr-fallback {\n",
-              "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
-              "  display: none;\n",
-              "}\n",
-              "\n",
-              ".xr-header {\n",
-              "  padding-top: 6px;\n",
-              "  padding-bottom: 6px;\n",
-              "}\n",
-              "\n",
-              ".xr-header {\n",
-              "  border-bottom: solid 1px var(--xr-border-color);\n",
-              "  margin-bottom: 4px;\n",
-              "}\n",
-              "\n",
-              ".xr-header > div,\n",
-              ".xr-header > ul {\n",
-              "  display: inline;\n",
-              "  margin-top: 0;\n",
-              "  margin-bottom: 0;\n",
-              "}\n",
-              "\n",
-              ".xr-obj-type,\n",
-              ".xr-obj-name {\n",
-              "  margin-left: 2px;\n",
-              "  margin-right: 10px;\n",
-              "}\n",
-              "\n",
-              ".xr-obj-type,\n",
-              ".xr-group-box-contents > label {\n",
-              "  color: var(--xr-font-color2);\n",
-              "  display: block;\n",
-              "}\n",
-              "\n",
-              ".xr-sections {\n",
-              "  padding-left: 0 !important;\n",
-              "  display: grid;\n",
-              "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
-              "  margin-block-start: 0;\n",
-              "  margin-block-end: 0;\n",
-              "}\n",
-              "\n",
-              ".xr-section-item {\n",
-              "  display: contents;\n",
-              "}\n",
-              "\n",
-              ".xr-section-item > input,\n",
-              ".xr-group-box-contents > input,\n",
-              ".xr-array-wrap > input {\n",
-              "  display: block;\n",
-              "  opacity: 0;\n",
-              "  height: 0;\n",
-              "  margin: 0;\n",
-              "}\n",
-              "\n",
-              ".xr-section-item > input + label,\n",
-              ".xr-var-item > input + label {\n",
-              "  color: var(--xr-disabled-color);\n",
-              "}\n",
-              "\n",
-              ".xr-section-item > input:enabled + label,\n",
-              ".xr-var-item > input:enabled + label,\n",
-              ".xr-array-wrap > input:enabled + label,\n",
-              ".xr-group-box-contents > input:enabled + label {\n",
-              "  cursor: pointer;\n",
-              "  color: var(--xr-font-color2);\n",
-              "}\n",
-              "\n",
-              ".xr-section-item > input:focus-visible + label,\n",
-              ".xr-var-item > input:focus-visible + label,\n",
-              ".xr-array-wrap > input:focus-visible + label,\n",
-              ".xr-group-box-contents > input:focus-visible + label {\n",
-              "  outline: auto;\n",
-              "}\n",
-              "\n",
-              ".xr-section-item > input:enabled + label:hover,\n",
-              ".xr-var-item > input:enabled + label:hover,\n",
-              ".xr-array-wrap > input:enabled + label:hover,\n",
-              ".xr-group-box-contents > input:enabled + label:hover {\n",
-              "  color: var(--xr-font-color0);\n",
-              "}\n",
-              "\n",
-              ".xr-section-summary {\n",
-              "  grid-column: 1;\n",
-              "  color: var(--xr-font-color2);\n",
-              "  font-weight: 500;\n",
-              "  white-space: nowrap;\n",
-              "}\n",
-              "\n",
-              ".xr-section-summary > em {\n",
-              "  font-weight: normal;\n",
-              "}\n",
-              "\n",
-              ".xr-span-grid {\n",
-              "  grid-column-end: -1;\n",
-              "}\n",
-              "\n",
-              ".xr-section-summary > span {\n",
-              "  display: inline-block;\n",
-              "  padding-left: 0.3em;\n",
-              "}\n",
-              "\n",
-              ".xr-group-box-contents > input:checked + label > span {\n",
-              "  display: inline-block;\n",
-              "  padding-left: 0.6em;\n",
-              "}\n",
-              "\n",
-              ".xr-section-summary-in:disabled + label {\n",
-              "  color: var(--xr-font-color2);\n",
-              "}\n",
-              "\n",
-              ".xr-section-summary-in + label:before {\n",
-              "  display: inline-block;\n",
-              "  content: \"►\";\n",
-              "  font-size: 11px;\n",
-              "  width: 15px;\n",
-              "  text-align: center;\n",
-              "}\n",
-              "\n",
-              ".xr-section-summary-in:disabled + label:before {\n",
-              "  color: var(--xr-disabled-color);\n",
-              "}\n",
-              "\n",
-              ".xr-section-summary-in:checked + label:before {\n",
-              "  content: \"▼\";\n",
-              "}\n",
-              "\n",
-              ".xr-section-summary-in:checked + label > span {\n",
-              "  display: none;\n",
-              "}\n",
-              "\n",
-              ".xr-section-summary,\n",
-              ".xr-section-inline-details,\n",
-              ".xr-group-box-contents > label {\n",
-              "  padding-top: 4px;\n",
-              "}\n",
-              "\n",
-              ".xr-section-inline-details {\n",
-              "  grid-column: 2 / -1;\n",
-              "}\n",
-              "\n",
-              ".xr-section-details {\n",
-              "  grid-column: 1 / -1;\n",
-              "  margin-top: 4px;\n",
-              "  margin-bottom: 5px;\n",
-              "}\n",
-              "\n",
-              ".xr-section-summary-in ~ .xr-section-details {\n",
-              "  display: none;\n",
-              "}\n",
-              "\n",
-              ".xr-section-summary-in:checked ~ .xr-section-details {\n",
-              "  display: contents;\n",
-              "}\n",
-              "\n",
-              ".xr-children {\n",
-              "  display: inline-grid;\n",
-              "  grid-template-columns: 100%;\n",
-              "  grid-column: 1 / -1;\n",
-              "  padding-top: 4px;\n",
-              "}\n",
-              "\n",
-              ".xr-group-box {\n",
-              "  display: inline-grid;\n",
-              "  grid-template-columns: 0px 30px auto;\n",
-              "}\n",
-              "\n",
-              ".xr-group-box-vline {\n",
-              "  grid-column-start: 1;\n",
-              "  border-right: 0.2em solid;\n",
-              "  border-color: var(--xr-border-color);\n",
-              "  width: 0px;\n",
-              "}\n",
-              "\n",
-              ".xr-group-box-hline {\n",
-              "  grid-column-start: 2;\n",
-              "  grid-row-start: 1;\n",
-              "  height: 1em;\n",
-              "  width: 26px;\n",
-              "  border-bottom: 0.2em solid;\n",
-              "  border-color: var(--xr-border-color);\n",
-              "}\n",
-              "\n",
-              ".xr-group-box-contents {\n",
-              "  grid-column-start: 3;\n",
-              "  padding-bottom: 4px;\n",
-              "}\n",
-              "\n",
-              ".xr-group-box-contents > label::before {\n",
-              "  content: \"📂\";\n",
-              "  padding-right: 0.3em;\n",
-              "}\n",
-              "\n",
-              ".xr-group-box-contents > input:checked + label::before {\n",
-              "  content: \"📁\";\n",
-              "}\n",
-              "\n",
-              ".xr-group-box-contents > input:checked + label {\n",
-              "  padding-bottom: 0px;\n",
-              "}\n",
-              "\n",
-              ".xr-group-box-contents > input:checked ~ .xr-sections {\n",
-              "  display: none;\n",
-              "}\n",
-              "\n",
-              ".xr-group-box-contents > input + label > span {\n",
-              "  display: none;\n",
-              "}\n",
-              "\n",
-              ".xr-group-box-ellipsis {\n",
-              "  font-size: 1.4em;\n",
-              "  font-weight: 900;\n",
-              "  color: var(--xr-font-color2);\n",
-              "  letter-spacing: 0.15em;\n",
-              "  cursor: default;\n",
-              "}\n",
-              "\n",
-              ".xr-array-wrap {\n",
-              "  grid-column: 1 / -1;\n",
-              "  display: grid;\n",
-              "  grid-template-columns: 20px auto;\n",
-              "}\n",
-              "\n",
-              ".xr-array-wrap > label {\n",
-              "  grid-column: 1;\n",
-              "  vertical-align: top;\n",
-              "}\n",
-              "\n",
-              ".xr-preview {\n",
-              "  color: var(--xr-font-color3);\n",
-              "}\n",
-              "\n",
-              ".xr-array-preview,\n",
-              ".xr-array-data {\n",
-              "  padding: 0 5px !important;\n",
-              "  grid-column: 2;\n",
-              "}\n",
-              "\n",
-              ".xr-array-data,\n",
-              ".xr-array-in:checked ~ .xr-array-preview {\n",
-              "  display: none;\n",
-              "}\n",
-              "\n",
-              ".xr-array-in:checked ~ .xr-array-data,\n",
-              ".xr-array-preview {\n",
-              "  display: inline-block;\n",
-              "}\n",
-              "\n",
-              ".xr-dim-list {\n",
-              "  display: inline-block !important;\n",
-              "  list-style: none;\n",
-              "  padding: 0 !important;\n",
-              "  margin: 0;\n",
-              "}\n",
-              "\n",
-              ".xr-dim-list li {\n",
-              "  display: inline-block;\n",
-              "  padding: 0;\n",
-              "  margin: 0;\n",
-              "}\n",
-              "\n",
-              ".xr-dim-list:before {\n",
-              "  content: \"(\";\n",
-              "}\n",
-              "\n",
-              ".xr-dim-list:after {\n",
-              "  content: \")\";\n",
-              "}\n",
-              "\n",
-              ".xr-dim-list li:not(:last-child):after {\n",
-              "  content: \",\";\n",
-              "  padding-right: 5px;\n",
-              "}\n",
-              "\n",
-              ".xr-has-index {\n",
-              "  font-weight: bold;\n",
-              "}\n",
-              "\n",
-              ".xr-var-list,\n",
-              ".xr-var-item {\n",
-              "  display: contents;\n",
-              "}\n",
-              "\n",
-              ".xr-var-item > div,\n",
-              ".xr-var-item label,\n",
-              ".xr-var-item > .xr-var-name span {\n",
-              "  background-color: var(--xr-background-color-row-even);\n",
-              "  border-color: var(--xr-background-color-row-odd);\n",
-              "  margin-bottom: 0;\n",
-              "  padding-top: 2px;\n",
-              "}\n",
-              "\n",
-              ".xr-var-item > .xr-var-name:hover span {\n",
-              "  padding-right: 5px;\n",
-              "}\n",
-              "\n",
-              ".xr-var-list > li:nth-child(odd) > div,\n",
-              ".xr-var-list > li:nth-child(odd) > label,\n",
-              ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
-              "  background-color: var(--xr-background-color-row-odd);\n",
-              "  border-color: var(--xr-background-color-row-even);\n",
-              "}\n",
-              "\n",
-              ".xr-var-name {\n",
-              "  grid-column: 1;\n",
-              "}\n",
-              "\n",
-              ".xr-var-dims {\n",
-              "  grid-column: 2;\n",
-              "}\n",
-              "\n",
-              ".xr-var-dtype {\n",
-              "  grid-column: 3;\n",
-              "  text-align: right;\n",
-              "  color: var(--xr-font-color2);\n",
-              "}\n",
-              "\n",
-              ".xr-var-preview {\n",
-              "  grid-column: 4;\n",
-              "}\n",
-              "\n",
-              ".xr-index-preview {\n",
-              "  grid-column: 2 / 5;\n",
-              "  color: var(--xr-font-color2);\n",
-              "}\n",
-              "\n",
-              ".xr-var-name,\n",
-              ".xr-var-dims,\n",
-              ".xr-var-dtype,\n",
-              ".xr-preview,\n",
-              ".xr-attrs dt {\n",
-              "  white-space: nowrap;\n",
-              "  overflow: hidden;\n",
-              "  text-overflow: ellipsis;\n",
-              "  padding-right: 10px;\n",
-              "}\n",
-              "\n",
-              ".xr-var-name:hover,\n",
-              ".xr-var-dims:hover,\n",
-              ".xr-var-dtype:hover,\n",
-              ".xr-attrs dt:hover {\n",
-              "  overflow: visible;\n",
-              "  width: auto;\n",
-              "  z-index: 1;\n",
-              "}\n",
-              "\n",
-              ".xr-var-attrs,\n",
-              ".xr-var-data,\n",
-              ".xr-index-data {\n",
-              "  display: none;\n",
-              "  border-top: 2px dotted var(--xr-background-color);\n",
-              "  padding-bottom: 20px !important;\n",
-              "  padding-top: 10px !important;\n",
-              "}\n",
-              "\n",
-              ".xr-var-attrs-in + label,\n",
-              ".xr-var-data-in + label,\n",
-              ".xr-index-data-in + label {\n",
-              "  padding: 0 1px;\n",
-              "}\n",
-              "\n",
-              ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
-              ".xr-var-data-in:checked ~ .xr-var-data,\n",
-              ".xr-index-data-in:checked ~ .xr-index-data {\n",
-              "  display: block;\n",
-              "}\n",
-              "\n",
-              ".xr-var-data > table {\n",
-              "  float: right;\n",
-              "}\n",
-              "\n",
-              ".xr-var-data > pre,\n",
-              ".xr-index-data > pre,\n",
-              ".xr-var-data > table > tbody > tr {\n",
-              "  background-color: transparent !important;\n",
-              "}\n",
-              "\n",
-              ".xr-var-name span,\n",
-              ".xr-var-data,\n",
-              ".xr-index-name div,\n",
-              ".xr-index-data,\n",
-              ".xr-attrs {\n",
-              "  padding-left: 25px !important;\n",
-              "}\n",
-              "\n",
-              ".xr-attrs,\n",
-              ".xr-var-attrs,\n",
-              ".xr-var-data,\n",
-              ".xr-index-data {\n",
-              "  grid-column: 1 / -1;\n",
-              "}\n",
-              "\n",
-              "dl.xr-attrs {\n",
-              "  padding: 0;\n",
-              "  margin: 0;\n",
-              "  display: grid;\n",
-              "  grid-template-columns: 125px auto;\n",
-              "}\n",
-              "\n",
-              ".xr-attrs dt,\n",
-              ".xr-attrs dd {\n",
-              "  padding: 0;\n",
-              "  margin: 0;\n",
-              "  float: left;\n",
-              "  padding-right: 10px;\n",
-              "  width: auto;\n",
-              "}\n",
-              "\n",
-              ".xr-attrs dt {\n",
-              "  font-weight: normal;\n",
-              "  grid-column: 1;\n",
-              "}\n",
-              "\n",
-              ".xr-attrs dt:hover span {\n",
-              "  display: inline-block;\n",
-              "  background: var(--xr-background-color);\n",
-              "  padding-right: 10px;\n",
-              "}\n",
-              "\n",
-              ".xr-attrs dd {\n",
-              "  grid-column: 2;\n",
-              "  white-space: pre-wrap;\n",
-              "  word-break: break-all;\n",
-              "}\n",
-              "\n",
-              ".xr-icon-database,\n",
-              ".xr-icon-file-text2,\n",
-              ".xr-no-icon {\n",
-              "  display: inline-block;\n",
-              "  vertical-align: middle;\n",
-              "  width: 1em;\n",
-              "  height: 1.5em !important;\n",
-              "  stroke-width: 0;\n",
-              "  stroke: currentColor;\n",
-              "  fill: currentColor;\n",
-              "}\n",
-              "\n",
-              ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
-              ".xr-var-data-in:checked + label > .xr-icon-database,\n",
-              ".xr-index-data-in:checked + label > .xr-icon-database {\n",
-              "  color: var(--xr-font-color0);\n",
-              "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
-              "  stroke-width: 0.8px;\n",
-              "}\n",
-              "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 968kB\n",
-              "Dimensions:        (chain: 4, draw: 1000, obs_ind: 30, treated_units: 1)\n",
-              "Coordinates:\n",
-              "  * chain          (chain) int64 32B 0 1 2 3\n",
-              "  * draw           (draw) int64 8kB 0 1 2 3 4 5 6 ... 994 995 996 997 998 999\n",
-              "  * obs_ind        (obs_ind) int64 240B 0 1 2 3 4 5 6 7 ... 23 24 25 26 27 28 29\n",
-              "  * treated_units  (treated_units) &lt;U2 8B &#x27;UK&#x27;\n",
-              "Data variables:\n",
-              "    y_hat          (chain, draw, obs_ind, treated_units) float64 960kB 4.613 ...\n",
-              "Attributes:\n",
-              "    created_at:                 2026-02-28T22:18:03.199273+00:00\n",
-              "    arviz_version:              0.23.4\n",
-              "    inference_library:          pymc\n",
-              "    inference_library_version:  5.27.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-071d8ff5-b819-4032-919b-fe53ccbea95e' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-071d8ff5-b819-4032-919b-fe53ccbea95e' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>chain</span>: 4</li><li><span class='xr-has-index'>draw</span>: 1000</li><li><span class='xr-has-index'>obs_ind</span>: 30</li><li><span class='xr-has-index'>treated_units</span>: 1</li></ul></div></li><li class='xr-section-item'><input id='section-255103b5-5698-4dac-a58f-581958fafbd5' class='xr-section-summary-in' type='checkbox' checked /><label for='section-255103b5-5698-4dac-a58f-581958fafbd5' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>chain</span></div><div class='xr-var-dims'>(chain)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3</div><input id='attrs-682a313f-17c3-47cf-8108-eca2bb13d654' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-682a313f-17c3-47cf-8108-eca2bb13d654' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-30ae54b8-04e5-4d5b-abe8-758f247b8133' class='xr-var-data-in' type='checkbox'><label for='data-30ae54b8-04e5-4d5b-abe8-758f247b8133' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 1, 2, 3])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>draw</span></div><div class='xr-var-dims'>(draw)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 995 996 997 998 999</div><input id='attrs-1c6a1479-000b-4ec9-9154-c4011b488710' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1c6a1479-000b-4ec9-9154-c4011b488710' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1fa22616-104b-401a-a202-ad6eff83c457' class='xr-var-data-in' type='checkbox'><label for='data-1fa22616-104b-401a-a202-ad6eff83c457' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([  0,   1,   2, ..., 997, 998, 999], shape=(1000,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>obs_ind</span></div><div class='xr-var-dims'>(obs_ind)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 24 25 26 27 28 29</div><input id='attrs-a59b930f-06cb-4531-b4a6-47140c344f3e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a59b930f-06cb-4531-b4a6-47140c344f3e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cbd6a6b9-b5ad-4160-8149-d0833f055f03' class='xr-var-data-in' type='checkbox'><label for='data-cbd6a6b9-b5ad-4160-8149-d0833f055f03' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
-              "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>treated_units</span></div><div class='xr-var-dims'>(treated_units)</div><div class='xr-var-dtype'>&lt;U2</div><div class='xr-var-preview xr-preview'>&#x27;UK&#x27;</div><input id='attrs-f22f16bf-aa5b-4482-b407-e9fa3b6a8498' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f22f16bf-aa5b-4482-b407-e9fa3b6a8498' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bc1ff9a4-96a1-4fa9-8079-32246447c166' class='xr-var-data-in' type='checkbox'><label for='data-bc1ff9a4-96a1-4fa9-8079-32246447c166' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;UK&#x27;], dtype=&#x27;&lt;U2&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-dd6ed0c2-78ca-4156-b550-f613a25531be' class='xr-section-summary-in' type='checkbox' checked /><label for='section-dd6ed0c2-78ca-4156-b550-f613a25531be' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>y_hat</span></div><div class='xr-var-dims'>(chain, draw, obs_ind, treated_units)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.613 4.614 4.611 ... 5.273 5.335</div><input id='attrs-86bbea16-58cc-443f-89a6-e685076937c8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-86bbea16-58cc-443f-89a6-e685076937c8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b6fcebfa-40e6-46ad-9fc2-8705a9d2104c' class='xr-var-data-in' type='checkbox'><label for='data-b6fcebfa-40e6-46ad-9fc2-8705a9d2104c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[[4.61301562],\n",
-              "         [4.61352063],\n",
-              "         [4.6106073 ],\n",
-              "         ...,\n",
-              "         [5.28020198],\n",
-              "         [5.228603  ],\n",
-              "         [5.32587732]],\n",
-              "\n",
-              "        [[4.56561831],\n",
-              "         [4.66834077],\n",
-              "         [4.61325066],\n",
-              "         ...,\n",
-              "         [5.30949304],\n",
-              "         [5.27972892],\n",
-              "         [5.30762766]],\n",
-              "\n",
-              "        [[4.60728372],\n",
-              "         [4.60273527],\n",
-              "         [4.63518576],\n",
-              "         ...,\n",
-              "...\n",
-              "         ...,\n",
-              "         [5.23361241],\n",
-              "         [5.17115196],\n",
-              "         [5.31129033]],\n",
-              "\n",
-              "        [[4.57000293],\n",
-              "         [4.5566669 ],\n",
-              "         [4.59142594],\n",
-              "         ...,\n",
-              "         [5.18706034],\n",
-              "         [5.1557135 ],\n",
-              "         [5.29751913]],\n",
-              "\n",
-              "        [[4.60297821],\n",
-              "         [4.57200698],\n",
-              "         [4.62616294],\n",
-              "         ...,\n",
-              "         [5.26753999],\n",
-              "         [5.27323653],\n",
-              "         [5.33507936]]]], shape=(4, 1000, 30, 1))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7ac424ed-4a4c-4662-bbf3-1035bc34b1c3' class='xr-section-summary-in' type='checkbox' checked /><label for='section-7ac424ed-4a4c-4662-bbf3-1035bc34b1c3' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>created_at :</span></dt><dd>2026-02-28T22:18:03.199273+00:00</dd><dt><span>arviz_version :</span></dt><dd>0.23.4</dd><dt><span>inference_library :</span></dt><dd>pymc</dd><dt><span>inference_library_version :</span></dt><dd>5.27.1</dd></dl></div></li></ul></div></div><br></div>\n",
-              "                      </ul>\n",
-              "                  </div>\n",
-              "            </li>\n",
-              "            \n",
-              "            <li class = \"xr-section-item\">\n",
-              "                  <input id=\"idata_sample_stats3d28b623-4b7a-4d70-b4ca-79ea37964b07\" class=\"xr-section-summary-in\" type=\"checkbox\">\n",
-              "                  <label for=\"idata_sample_stats3d28b623-4b7a-4d70-b4ca-79ea37964b07\" class = \"xr-section-summary\">sample_stats</label>\n",
-              "                  <div class=\"xr-section-inline-details\"></div>\n",
-              "                  <div class=\"xr-section-details\">\n",
-              "                      <ul id=\"xr-dataset-coord-list\" class=\"xr-var-list\">\n",
-              "                          <div style=\"padding-left:2rem;\"><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
-              "<defs>\n",
-              "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
-              "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
-              "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
-              "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
-              "</symbol>\n",
-              "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
-              "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
-              "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
-              "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
-              "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
-              "</symbol>\n",
-              "</defs>\n",
-              "</svg>\n",
-              "<style>/* CSS stylesheet for displaying xarray objects in notebooks */\n",
-              "\n",
-              ":root {\n",
-              "  --xr-font-color0: var(\n",
-              "    --jp-content-font-color0,\n",
-              "    var(--pst-color-text-base rgba(0, 0, 0, 1))\n",
-              "  );\n",
-              "  --xr-font-color2: var(\n",
-              "    --jp-content-font-color2,\n",
-              "    var(--pst-color-text-base, rgba(0, 0, 0, 0.54))\n",
-              "  );\n",
-              "  --xr-font-color3: var(\n",
-              "    --jp-content-font-color3,\n",
-              "    var(--pst-color-text-base, rgba(0, 0, 0, 0.38))\n",
-              "  );\n",
-              "  --xr-border-color: var(\n",
-              "    --jp-border-color2,\n",
-              "    hsl(from var(--pst-color-on-background, white) h s calc(l - 10))\n",
-              "  );\n",
-              "  --xr-disabled-color: var(\n",
-              "    --jp-layout-color3,\n",
-              "    hsl(from var(--pst-color-on-background, white) h s calc(l - 40))\n",
-              "  );\n",
-              "  --xr-background-color: var(\n",
-              "    --jp-layout-color0,\n",
-              "    var(--pst-color-on-background, white)\n",
-              "  );\n",
-              "  --xr-background-color-row-even: var(\n",
-              "    --jp-layout-color1,\n",
-              "    hsl(from var(--pst-color-on-background, white) h s calc(l - 5))\n",
-              "  );\n",
-              "  --xr-background-color-row-odd: var(\n",
-              "    --jp-layout-color2,\n",
-              "    hsl(from var(--pst-color-on-background, white) h s calc(l - 15))\n",
-              "  );\n",
-              "}\n",
-              "\n",
-              "html[theme=\"dark\"],\n",
-              "html[data-theme=\"dark\"],\n",
-              "body[data-theme=\"dark\"],\n",
-              "body.vscode-dark {\n",
-              "  --xr-font-color0: var(\n",
-              "    --jp-content-font-color0,\n",
-              "    var(--pst-color-text-base, rgba(255, 255, 255, 1))\n",
-              "  );\n",
-              "  --xr-font-color2: var(\n",
-              "    --jp-content-font-color2,\n",
-              "    var(--pst-color-text-base, rgba(255, 255, 255, 0.54))\n",
-              "  );\n",
-              "  --xr-font-color3: var(\n",
-              "    --jp-content-font-color3,\n",
-              "    var(--pst-color-text-base, rgba(255, 255, 255, 0.38))\n",
-              "  );\n",
-              "  --xr-border-color: var(\n",
-              "    --jp-border-color2,\n",
-              "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 10))\n",
-              "  );\n",
-              "  --xr-disabled-color: var(\n",
-              "    --jp-layout-color3,\n",
-              "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 40))\n",
-              "  );\n",
-              "  --xr-background-color: var(\n",
-              "    --jp-layout-color0,\n",
-              "    var(--pst-color-on-background, #111111)\n",
-              "  );\n",
-              "  --xr-background-color-row-even: var(\n",
-              "    --jp-layout-color1,\n",
-              "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 5))\n",
-              "  );\n",
-              "  --xr-background-color-row-odd: var(\n",
-              "    --jp-layout-color2,\n",
-              "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 15))\n",
-              "  );\n",
-              "}\n",
-              "\n",
-              ".xr-wrap {\n",
-              "  display: block !important;\n",
-              "  min-width: 300px;\n",
-              "  max-width: 700px;\n",
-              "  line-height: 1.6;\n",
-              "  padding-bottom: 4px;\n",
-              "}\n",
-              "\n",
-              ".xr-text-repr-fallback {\n",
-              "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
-              "  display: none;\n",
-              "}\n",
-              "\n",
-              ".xr-header {\n",
-              "  padding-top: 6px;\n",
-              "  padding-bottom: 6px;\n",
-              "}\n",
-              "\n",
-              ".xr-header {\n",
-              "  border-bottom: solid 1px var(--xr-border-color);\n",
-              "  margin-bottom: 4px;\n",
-              "}\n",
-              "\n",
-              ".xr-header > div,\n",
-              ".xr-header > ul {\n",
-              "  display: inline;\n",
-              "  margin-top: 0;\n",
-              "  margin-bottom: 0;\n",
-              "}\n",
-              "\n",
-              ".xr-obj-type,\n",
-              ".xr-obj-name {\n",
-              "  margin-left: 2px;\n",
-              "  margin-right: 10px;\n",
-              "}\n",
-              "\n",
-              ".xr-obj-type,\n",
-              ".xr-group-box-contents > label {\n",
-              "  color: var(--xr-font-color2);\n",
-              "  display: block;\n",
-              "}\n",
-              "\n",
-              ".xr-sections {\n",
-              "  padding-left: 0 !important;\n",
-              "  display: grid;\n",
-              "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
-              "  margin-block-start: 0;\n",
-              "  margin-block-end: 0;\n",
-              "}\n",
-              "\n",
-              ".xr-section-item {\n",
-              "  display: contents;\n",
-              "}\n",
-              "\n",
-              ".xr-section-item > input,\n",
-              ".xr-group-box-contents > input,\n",
-              ".xr-array-wrap > input {\n",
-              "  display: block;\n",
-              "  opacity: 0;\n",
-              "  height: 0;\n",
-              "  margin: 0;\n",
-              "}\n",
-              "\n",
-              ".xr-section-item > input + label,\n",
-              ".xr-var-item > input + label {\n",
-              "  color: var(--xr-disabled-color);\n",
-              "}\n",
-              "\n",
-              ".xr-section-item > input:enabled + label,\n",
-              ".xr-var-item > input:enabled + label,\n",
-              ".xr-array-wrap > input:enabled + label,\n",
-              ".xr-group-box-contents > input:enabled + label {\n",
-              "  cursor: pointer;\n",
-              "  color: var(--xr-font-color2);\n",
-              "}\n",
-              "\n",
-              ".xr-section-item > input:focus-visible + label,\n",
-              ".xr-var-item > input:focus-visible + label,\n",
-              ".xr-array-wrap > input:focus-visible + label,\n",
-              ".xr-group-box-contents > input:focus-visible + label {\n",
-              "  outline: auto;\n",
-              "}\n",
-              "\n",
-              ".xr-section-item > input:enabled + label:hover,\n",
-              ".xr-var-item > input:enabled + label:hover,\n",
-              ".xr-array-wrap > input:enabled + label:hover,\n",
-              ".xr-group-box-contents > input:enabled + label:hover {\n",
-              "  color: var(--xr-font-color0);\n",
-              "}\n",
-              "\n",
-              ".xr-section-summary {\n",
-              "  grid-column: 1;\n",
-              "  color: var(--xr-font-color2);\n",
-              "  font-weight: 500;\n",
-              "  white-space: nowrap;\n",
-              "}\n",
-              "\n",
-              ".xr-section-summary > em {\n",
-              "  font-weight: normal;\n",
-              "}\n",
-              "\n",
-              ".xr-span-grid {\n",
-              "  grid-column-end: -1;\n",
-              "}\n",
-              "\n",
-              ".xr-section-summary > span {\n",
-              "  display: inline-block;\n",
-              "  padding-left: 0.3em;\n",
-              "}\n",
-              "\n",
-              ".xr-group-box-contents > input:checked + label > span {\n",
-              "  display: inline-block;\n",
-              "  padding-left: 0.6em;\n",
-              "}\n",
-              "\n",
-              ".xr-section-summary-in:disabled + label {\n",
-              "  color: var(--xr-font-color2);\n",
-              "}\n",
-              "\n",
-              ".xr-section-summary-in + label:before {\n",
-              "  display: inline-block;\n",
-              "  content: \"►\";\n",
-              "  font-size: 11px;\n",
-              "  width: 15px;\n",
-              "  text-align: center;\n",
-              "}\n",
-              "\n",
-              ".xr-section-summary-in:disabled + label:before {\n",
-              "  color: var(--xr-disabled-color);\n",
-              "}\n",
-              "\n",
-              ".xr-section-summary-in:checked + label:before {\n",
-              "  content: \"▼\";\n",
-              "}\n",
-              "\n",
-              ".xr-section-summary-in:checked + label > span {\n",
-              "  display: none;\n",
-              "}\n",
-              "\n",
-              ".xr-section-summary,\n",
-              ".xr-section-inline-details,\n",
-              ".xr-group-box-contents > label {\n",
-              "  padding-top: 4px;\n",
-              "}\n",
-              "\n",
-              ".xr-section-inline-details {\n",
-              "  grid-column: 2 / -1;\n",
-              "}\n",
-              "\n",
-              ".xr-section-details {\n",
-              "  grid-column: 1 / -1;\n",
-              "  margin-top: 4px;\n",
-              "  margin-bottom: 5px;\n",
-              "}\n",
-              "\n",
-              ".xr-section-summary-in ~ .xr-section-details {\n",
-              "  display: none;\n",
-              "}\n",
-              "\n",
-              ".xr-section-summary-in:checked ~ .xr-section-details {\n",
-              "  display: contents;\n",
-              "}\n",
-              "\n",
-              ".xr-children {\n",
-              "  display: inline-grid;\n",
-              "  grid-template-columns: 100%;\n",
-              "  grid-column: 1 / -1;\n",
-              "  padding-top: 4px;\n",
-              "}\n",
-              "\n",
-              ".xr-group-box {\n",
-              "  display: inline-grid;\n",
-              "  grid-template-columns: 0px 30px auto;\n",
-              "}\n",
-              "\n",
-              ".xr-group-box-vline {\n",
-              "  grid-column-start: 1;\n",
-              "  border-right: 0.2em solid;\n",
-              "  border-color: var(--xr-border-color);\n",
-              "  width: 0px;\n",
-              "}\n",
-              "\n",
-              ".xr-group-box-hline {\n",
-              "  grid-column-start: 2;\n",
-              "  grid-row-start: 1;\n",
-              "  height: 1em;\n",
-              "  width: 26px;\n",
-              "  border-bottom: 0.2em solid;\n",
-              "  border-color: var(--xr-border-color);\n",
-              "}\n",
-              "\n",
-              ".xr-group-box-contents {\n",
-              "  grid-column-start: 3;\n",
-              "  padding-bottom: 4px;\n",
-              "}\n",
-              "\n",
-              ".xr-group-box-contents > label::before {\n",
-              "  content: \"📂\";\n",
-              "  padding-right: 0.3em;\n",
-              "}\n",
-              "\n",
-              ".xr-group-box-contents > input:checked + label::before {\n",
-              "  content: \"📁\";\n",
-              "}\n",
-              "\n",
-              ".xr-group-box-contents > input:checked + label {\n",
-              "  padding-bottom: 0px;\n",
-              "}\n",
-              "\n",
-              ".xr-group-box-contents > input:checked ~ .xr-sections {\n",
-              "  display: none;\n",
-              "}\n",
-              "\n",
-              ".xr-group-box-contents > input + label > span {\n",
-              "  display: none;\n",
-              "}\n",
-              "\n",
-              ".xr-group-box-ellipsis {\n",
-              "  font-size: 1.4em;\n",
-              "  font-weight: 900;\n",
-              "  color: var(--xr-font-color2);\n",
-              "  letter-spacing: 0.15em;\n",
-              "  cursor: default;\n",
-              "}\n",
-              "\n",
-              ".xr-array-wrap {\n",
-              "  grid-column: 1 / -1;\n",
-              "  display: grid;\n",
-              "  grid-template-columns: 20px auto;\n",
-              "}\n",
-              "\n",
-              ".xr-array-wrap > label {\n",
-              "  grid-column: 1;\n",
-              "  vertical-align: top;\n",
-              "}\n",
-              "\n",
-              ".xr-preview {\n",
-              "  color: var(--xr-font-color3);\n",
-              "}\n",
-              "\n",
-              ".xr-array-preview,\n",
-              ".xr-array-data {\n",
-              "  padding: 0 5px !important;\n",
-              "  grid-column: 2;\n",
-              "}\n",
-              "\n",
-              ".xr-array-data,\n",
-              ".xr-array-in:checked ~ .xr-array-preview {\n",
-              "  display: none;\n",
-              "}\n",
-              "\n",
-              ".xr-array-in:checked ~ .xr-array-data,\n",
-              ".xr-array-preview {\n",
-              "  display: inline-block;\n",
-              "}\n",
-              "\n",
-              ".xr-dim-list {\n",
-              "  display: inline-block !important;\n",
-              "  list-style: none;\n",
-              "  padding: 0 !important;\n",
-              "  margin: 0;\n",
-              "}\n",
-              "\n",
-              ".xr-dim-list li {\n",
-              "  display: inline-block;\n",
-              "  padding: 0;\n",
-              "  margin: 0;\n",
-              "}\n",
-              "\n",
-              ".xr-dim-list:before {\n",
-              "  content: \"(\";\n",
-              "}\n",
-              "\n",
-              ".xr-dim-list:after {\n",
-              "  content: \")\";\n",
-              "}\n",
-              "\n",
-              ".xr-dim-list li:not(:last-child):after {\n",
-              "  content: \",\";\n",
-              "  padding-right: 5px;\n",
-              "}\n",
-              "\n",
-              ".xr-has-index {\n",
-              "  font-weight: bold;\n",
-              "}\n",
-              "\n",
-              ".xr-var-list,\n",
-              ".xr-var-item {\n",
-              "  display: contents;\n",
-              "}\n",
-              "\n",
-              ".xr-var-item > div,\n",
-              ".xr-var-item label,\n",
-              ".xr-var-item > .xr-var-name span {\n",
-              "  background-color: var(--xr-background-color-row-even);\n",
-              "  border-color: var(--xr-background-color-row-odd);\n",
-              "  margin-bottom: 0;\n",
-              "  padding-top: 2px;\n",
-              "}\n",
-              "\n",
-              ".xr-var-item > .xr-var-name:hover span {\n",
-              "  padding-right: 5px;\n",
-              "}\n",
-              "\n",
-              ".xr-var-list > li:nth-child(odd) > div,\n",
-              ".xr-var-list > li:nth-child(odd) > label,\n",
-              ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
-              "  background-color: var(--xr-background-color-row-odd);\n",
-              "  border-color: var(--xr-background-color-row-even);\n",
-              "}\n",
-              "\n",
-              ".xr-var-name {\n",
-              "  grid-column: 1;\n",
-              "}\n",
-              "\n",
-              ".xr-var-dims {\n",
-              "  grid-column: 2;\n",
-              "}\n",
-              "\n",
-              ".xr-var-dtype {\n",
-              "  grid-column: 3;\n",
-              "  text-align: right;\n",
-              "  color: var(--xr-font-color2);\n",
-              "}\n",
-              "\n",
-              ".xr-var-preview {\n",
-              "  grid-column: 4;\n",
-              "}\n",
-              "\n",
-              ".xr-index-preview {\n",
-              "  grid-column: 2 / 5;\n",
-              "  color: var(--xr-font-color2);\n",
-              "}\n",
-              "\n",
-              ".xr-var-name,\n",
-              ".xr-var-dims,\n",
-              ".xr-var-dtype,\n",
-              ".xr-preview,\n",
-              ".xr-attrs dt {\n",
-              "  white-space: nowrap;\n",
-              "  overflow: hidden;\n",
-              "  text-overflow: ellipsis;\n",
-              "  padding-right: 10px;\n",
-              "}\n",
-              "\n",
-              ".xr-var-name:hover,\n",
-              ".xr-var-dims:hover,\n",
-              ".xr-var-dtype:hover,\n",
-              ".xr-attrs dt:hover {\n",
-              "  overflow: visible;\n",
-              "  width: auto;\n",
-              "  z-index: 1;\n",
-              "}\n",
-              "\n",
-              ".xr-var-attrs,\n",
-              ".xr-var-data,\n",
-              ".xr-index-data {\n",
-              "  display: none;\n",
-              "  border-top: 2px dotted var(--xr-background-color);\n",
-              "  padding-bottom: 20px !important;\n",
-              "  padding-top: 10px !important;\n",
-              "}\n",
-              "\n",
-              ".xr-var-attrs-in + label,\n",
-              ".xr-var-data-in + label,\n",
-              ".xr-index-data-in + label {\n",
-              "  padding: 0 1px;\n",
-              "}\n",
-              "\n",
-              ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
-              ".xr-var-data-in:checked ~ .xr-var-data,\n",
-              ".xr-index-data-in:checked ~ .xr-index-data {\n",
-              "  display: block;\n",
-              "}\n",
-              "\n",
-              ".xr-var-data > table {\n",
-              "  float: right;\n",
-              "}\n",
-              "\n",
-              ".xr-var-data > pre,\n",
-              ".xr-index-data > pre,\n",
-              ".xr-var-data > table > tbody > tr {\n",
-              "  background-color: transparent !important;\n",
-              "}\n",
-              "\n",
-              ".xr-var-name span,\n",
-              ".xr-var-data,\n",
-              ".xr-index-name div,\n",
-              ".xr-index-data,\n",
-              ".xr-attrs {\n",
-              "  padding-left: 25px !important;\n",
-              "}\n",
-              "\n",
-              ".xr-attrs,\n",
-              ".xr-var-attrs,\n",
-              ".xr-var-data,\n",
-              ".xr-index-data {\n",
-              "  grid-column: 1 / -1;\n",
-              "}\n",
-              "\n",
-              "dl.xr-attrs {\n",
-              "  padding: 0;\n",
-              "  margin: 0;\n",
-              "  display: grid;\n",
-              "  grid-template-columns: 125px auto;\n",
-              "}\n",
-              "\n",
-              ".xr-attrs dt,\n",
-              ".xr-attrs dd {\n",
-              "  padding: 0;\n",
-              "  margin: 0;\n",
-              "  float: left;\n",
-              "  padding-right: 10px;\n",
-              "  width: auto;\n",
-              "}\n",
-              "\n",
-              ".xr-attrs dt {\n",
-              "  font-weight: normal;\n",
-              "  grid-column: 1;\n",
-              "}\n",
-              "\n",
-              ".xr-attrs dt:hover span {\n",
-              "  display: inline-block;\n",
-              "  background: var(--xr-background-color);\n",
-              "  padding-right: 10px;\n",
-              "}\n",
-              "\n",
-              ".xr-attrs dd {\n",
-              "  grid-column: 2;\n",
-              "  white-space: pre-wrap;\n",
-              "  word-break: break-all;\n",
-              "}\n",
-              "\n",
-              ".xr-icon-database,\n",
-              ".xr-icon-file-text2,\n",
-              ".xr-no-icon {\n",
-              "  display: inline-block;\n",
-              "  vertical-align: middle;\n",
-              "  width: 1em;\n",
-              "  height: 1.5em !important;\n",
-              "  stroke-width: 0;\n",
-              "  stroke: currentColor;\n",
-              "  fill: currentColor;\n",
-              "}\n",
-              "\n",
-              ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
-              ".xr-var-data-in:checked + label > .xr-icon-database,\n",
-              ".xr-index-data-in:checked + label > .xr-icon-database {\n",
-              "  color: var(--xr-font-color0);\n",
-              "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
-              "  stroke-width: 0.8px;\n",
-              "}\n",
-              "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 528kB\n",
-              "Dimensions:                (chain: 4, draw: 1000)\n",
-              "Coordinates:\n",
-              "  * chain                  (chain) int64 32B 0 1 2 3\n",
-              "  * draw                   (draw) int64 8kB 0 1 2 3 4 5 ... 995 996 997 998 999\n",
-              "Data variables: (12/18)\n",
-              "    divergences            (chain, draw) int64 32kB 0 0 0 0 0 0 ... 1 1 1 1 1 1\n",
-              "    step_size_bar          (chain, draw) float64 32kB 0.001832 ... 0.002083\n",
-              "    perf_counter_diff      (chain, draw) float64 32kB 0.03848 ... 0.03015\n",
-              "    acceptance_rate        (chain, draw) float64 32kB 0.9983 0.9958 ... 0.9904\n",
-              "    reached_max_treedepth  (chain, draw) bool 4kB True True True ... True True\n",
-              "    diverging              (chain, draw) bool 4kB False False ... False False\n",
-              "    ...                     ...\n",
-              "    tree_depth             (chain, draw) int64 32kB 10 10 10 10 ... 10 10 10 10\n",
-              "    energy_error           (chain, draw) float64 32kB 0.002337 ... -0.07935\n",
-              "    n_steps                (chain, draw) float64 32kB 1.023e+03 ... 1.023e+03\n",
-              "    step_size              (chain, draw) float64 32kB 0.001714 ... 0.00155\n",
-              "    lp                     (chain, draw) float64 32kB 38.28 40.37 ... 40.34\n",
-              "    energy                 (chain, draw) float64 32kB -28.31 -30.91 ... -30.58\n",
-              "Attributes:\n",
-              "    created_at:                 2026-02-28T22:18:02.960716+00:00\n",
-              "    arviz_version:              0.23.4\n",
-              "    inference_library:          pymc\n",
-              "    inference_library_version:  5.27.1\n",
-              "    sampling_time:              80.99764895439148\n",
-              "    tuning_steps:               1000</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-212a21fb-ed4f-4e70-b2f1-2fd038910a35' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-212a21fb-ed4f-4e70-b2f1-2fd038910a35' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>chain</span>: 4</li><li><span class='xr-has-index'>draw</span>: 1000</li></ul></div></li><li class='xr-section-item'><input id='section-7138a6df-9be8-404b-804a-31e28285818b' class='xr-section-summary-in' type='checkbox' checked /><label for='section-7138a6df-9be8-404b-804a-31e28285818b' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>chain</span></div><div class='xr-var-dims'>(chain)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3</div><input id='attrs-9cd82ab7-f482-4b3a-a080-6390cb4ab434' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9cd82ab7-f482-4b3a-a080-6390cb4ab434' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a07eb754-2b03-4ee5-a8c8-321a671ae305' class='xr-var-data-in' type='checkbox'><label for='data-a07eb754-2b03-4ee5-a8c8-321a671ae305' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 1, 2, 3])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>draw</span></div><div class='xr-var-dims'>(draw)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 995 996 997 998 999</div><input id='attrs-8cbebb2f-2d03-4485-968f-53b7464a3bda' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8cbebb2f-2d03-4485-968f-53b7464a3bda' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-99a9fddd-860e-48c1-a098-9c48429ba01d' class='xr-var-data-in' type='checkbox'><label for='data-99a9fddd-860e-48c1-a098-9c48429ba01d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([  0,   1,   2, ..., 997, 998, 999], shape=(1000,))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-756fd71a-cb02-464b-b3fa-817d5fc9f2a7' class='xr-section-summary-in' type='checkbox' /><label for='section-756fd71a-cb02-464b-b3fa-817d5fc9f2a7' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(18)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>divergences</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 0 0 0 0 0 0 0 ... 1 1 1 1 1 1 1 1</div><input id='attrs-889a4742-b056-4fe5-9da1-e5b1aaf34013' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-889a4742-b056-4fe5-9da1-e5b1aaf34013' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-81954301-9746-4f26-8b40-afcd82313207' class='xr-var-data-in' type='checkbox'><label for='data-81954301-9746-4f26-8b40-afcd82313207' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0, 0, 0, ..., 0, 0, 0],\n",
-              "       [0, 0, 0, ..., 1, 1, 1],\n",
-              "       [0, 0, 0, ..., 0, 0, 0],\n",
-              "       [0, 0, 0, ..., 1, 1, 1]], shape=(4, 1000))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>step_size_bar</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.001832 0.001832 ... 0.002083</div><input id='attrs-17ad7d2f-5f27-4d1a-9272-d4394930cf2f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-17ad7d2f-5f27-4d1a-9272-d4394930cf2f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c001e0d3-83c0-4eb4-958f-4e48ae17f854' class='xr-var-data-in' type='checkbox'><label for='data-c001e0d3-83c0-4eb4-958f-4e48ae17f854' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.00183196, 0.00183196, 0.00183196, ..., 0.00183196, 0.00183196,\n",
-              "        0.00183196],\n",
-              "       [0.00186939, 0.00186939, 0.00186939, ..., 0.00186939, 0.00186939,\n",
-              "        0.00186939],\n",
-              "       [0.00182609, 0.00182609, 0.00182609, ..., 0.00182609, 0.00182609,\n",
-              "        0.00182609],\n",
-              "       [0.0020831 , 0.0020831 , 0.0020831 , ..., 0.0020831 , 0.0020831 ,\n",
-              "        0.0020831 ]], shape=(4, 1000))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>perf_counter_diff</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.03848 0.03899 ... 0.03017 0.03015</div><input id='attrs-73f557b3-bfed-46a4-8c97-f510aa24d724' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-73f557b3-bfed-46a4-8c97-f510aa24d724' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4edc1a33-8833-462a-8873-2674d9e9a338' class='xr-var-data-in' type='checkbox'><label for='data-4edc1a33-8833-462a-8873-2674d9e9a338' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.0384805 , 0.03899113, 0.03782992, ..., 0.04066504, 0.03807363,\n",
-              "        0.03557792],\n",
-              "       [0.03884071, 0.03670942, 0.0377475 , ..., 0.04094675, 0.04198158,\n",
-              "        0.04042475],\n",
-              "       [0.041153  , 0.04118062, 0.03852804, ..., 0.04004262, 0.04205521,\n",
-              "        0.03795437],\n",
-              "       [0.03817858, 0.03865517, 0.03720046, ..., 0.03078046, 0.03017296,\n",
-              "        0.030152  ]], shape=(4, 1000))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>acceptance_rate</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9983 0.9958 ... 0.9705 0.9904</div><input id='attrs-26a428be-e707-4c9a-bbf1-8046face9861' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-26a428be-e707-4c9a-bbf1-8046face9861' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ba44ee19-9bee-4f47-b65a-a69a9e8e22ed' class='xr-var-data-in' type='checkbox'><label for='data-ba44ee19-9bee-4f47-b65a-a69a9e8e22ed' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.99832573, 0.99578229, 0.99518216, ..., 0.98534596, 0.99991805,\n",
-              "        0.88352649],\n",
-              "       [0.99976562, 0.96414971, 0.99980621, ..., 0.98962746, 0.9671537 ,\n",
-              "        0.99929836],\n",
-              "       [0.99688934, 0.99695005, 0.9891288 , ..., 0.9979663 , 0.99608376,\n",
-              "        0.99231484],\n",
-              "       [0.99651461, 0.9988474 , 0.96500335, ..., 0.96856397, 0.97049255,\n",
-              "        0.99042612]], shape=(4, 1000))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>reached_max_treedepth</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>bool</div><div class='xr-var-preview xr-preview'>True True True ... True True True</div><input id='attrs-a7b21a52-d318-4d56-b9ee-059e97bbb703' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a7b21a52-d318-4d56-b9ee-059e97bbb703' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e0c61ee9-d75f-445c-9939-484ee7c39b9d' class='xr-var-data-in' type='checkbox'><label for='data-e0c61ee9-d75f-445c-9939-484ee7c39b9d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ True,  True,  True, ...,  True,  True,  True],\n",
-              "       [ True, False,  True, ...,  True,  True,  True],\n",
-              "       [ True,  True,  True, ...,  True,  True,  True],\n",
-              "       [ True, False,  True, ...,  True,  True,  True]], shape=(4, 1000))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>diverging</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>bool</div><div class='xr-var-preview xr-preview'>False False False ... False False</div><input id='attrs-396926ad-1dc0-43e5-a568-e62551b344f0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-396926ad-1dc0-43e5-a568-e62551b344f0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-85e52522-acd7-4a43-99b4-d7315447dfac' class='xr-var-data-in' type='checkbox'><label for='data-85e52522-acd7-4a43-99b4-d7315447dfac' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[False, False, False, ..., False, False, False],\n",
-              "       [False, False, False, ..., False, False, False],\n",
-              "       [False, False, False, ..., False, False, False],\n",
-              "       [False, False, False, ..., False, False, False]], shape=(4, 1000))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>max_energy_error</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.004404 -0.1325 ... -0.3847</div><input id='attrs-78cb4b0c-41e9-45bd-b532-6002e80e6dc2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-78cb4b0c-41e9-45bd-b532-6002e80e6dc2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e20a4403-cdfb-43e5-a572-89e4175874b2' class='xr-var-data-in' type='checkbox'><label for='data-e20a4403-cdfb-43e5-a572-89e4175874b2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0.00440359, -0.1325258 , -0.0737049 , ...,  0.03517441,\n",
-              "        -0.00424278,  0.20915704],\n",
-              "       [-0.00479835,  0.07468869, -0.01664929, ..., -0.16609172,\n",
-              "        -0.39754642, -0.4875291 ],\n",
-              "       [-0.16597109, -0.15545628, -0.22103901, ..., -0.0557654 ,\n",
-              "        -0.11099396, -0.05615472],\n",
-              "       [-0.04265098, -0.02569533,  0.06374838, ..., -1.41553039,\n",
-              "        -0.13863659, -0.38473792]], shape=(4, 1000))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>process_time_diff</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.03811 0.03876 ... 0.03012 0.03011</div><input id='attrs-c687f64f-edb5-46e2-b3c1-76be70bfff3c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c687f64f-edb5-46e2-b3c1-76be70bfff3c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7fec4595-f6ed-4118-9de9-929036325c87' class='xr-var-data-in' type='checkbox'><label for='data-7fec4595-f6ed-4118-9de9-929036325c87' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.038107, 0.038762, 0.037494, ..., 0.040264, 0.037851, 0.035482],\n",
-              "       [0.038505, 0.036422, 0.037511, ..., 0.04056 , 0.041621, 0.039922],\n",
-              "       [0.040382, 0.040278, 0.038148, ..., 0.039792, 0.041468, 0.037814],\n",
-              "       [0.037996, 0.038401, 0.036963, ..., 0.030777, 0.030124, 0.030112]],\n",
-              "      shape=(4, 1000))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>largest_eigval</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-4b85f1ac-37af-449c-b855-95c026475ae4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4b85f1ac-37af-449c-b855-95c026475ae4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ff0f7e77-1fd0-4539-8af8-db30b778431b' class='xr-var-data-in' type='checkbox'><label for='data-ff0f7e77-1fd0-4539-8af8-db30b778431b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
-              "       [nan, nan, nan, ..., nan, nan, nan],\n",
-              "       [nan, nan, nan, ..., nan, nan, nan],\n",
-              "       [nan, nan, nan, ..., nan, nan, nan]], shape=(4, 1000))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>smallest_eigval</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-8df0e64b-349a-4302-ab04-7983392eaa6e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8df0e64b-349a-4302-ab04-7983392eaa6e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3ed961d3-0259-4818-80d9-72ca1a262672' class='xr-var-data-in' type='checkbox'><label for='data-3ed961d3-0259-4818-80d9-72ca1a262672' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
-              "       [nan, nan, nan, ..., nan, nan, nan],\n",
-              "       [nan, nan, nan, ..., nan, nan, nan],\n",
-              "       [nan, nan, nan, ..., nan, nan, nan]], shape=(4, 1000))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>perf_counter_start</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.494e+05 3.494e+05 ... 3.495e+05</div><input id='attrs-67f08b3b-ed18-494b-a585-416e9bb54686' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-67f08b3b-ed18-494b-a585-416e9bb54686' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-19d31003-50a6-428f-87ea-152f72ec9049' class='xr-var-data-in' type='checkbox'><label for='data-19d31003-50a6-428f-87ea-152f72ec9049' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[349429.65195508, 349429.69052633, 349429.72958863, ...,\n",
-              "        349469.00221833, 349469.04297008, 349469.08116954],\n",
-              "       [349429.65801687, 349429.69694725, 349429.73373692, ...,\n",
-              "        349468.896463  , 349468.93748067, 349468.97952879],\n",
-              "       [349429.56538113, 349429.60665367, 349429.64802396, ...,\n",
-              "        349468.9562805 , 349468.99639992, 349469.03855825],\n",
-              "       [349429.69021004, 349429.72847275, 349429.76721717, ...,\n",
-              "        349469.20045483, 349469.23130929, 349469.26155208]],\n",
-              "      shape=(4, 1000))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>index_in_trajectory</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>226 485 -330 388 ... 396 385 944</div><input id='attrs-79c140aa-cc59-4f36-b946-a8ee3c05ac40' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-79c140aa-cc59-4f36-b946-a8ee3c05ac40' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-46fb29e9-82a8-4f64-93ac-32b32eabef16' class='xr-var-data-in' type='checkbox'><label for='data-46fb29e9-82a8-4f64-93ac-32b32eabef16' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 226,  485, -330, ...,  339,  182, -451],\n",
-              "       [ 945,  777,  206, ..., -392,  159, -206],\n",
-              "       [-863, -520,  170, ..., -581,  304,  608],\n",
-              "       [ 378,  543,  137, ...,  396,  385,  944]], shape=(4, 1000))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tree_depth</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>10 10 10 10 10 ... 10 10 10 10 10</div><input id='attrs-4c86d19a-3565-4e53-ac46-7810bf13763a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4c86d19a-3565-4e53-ac46-7810bf13763a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-20229455-8844-42fa-9b32-d7e125828242' class='xr-var-data-in' type='checkbox'><label for='data-20229455-8844-42fa-9b32-d7e125828242' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[10, 10, 10, ..., 10, 10, 10],\n",
-              "       [10, 10, 10, ..., 10, 10, 10],\n",
-              "       [10, 10, 10, ..., 10, 10, 10],\n",
-              "       [10, 10, 10, ..., 10, 10, 10]], shape=(4, 1000))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>energy_error</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.002337 0.002706 ... -0.07935</div><input id='attrs-e4a1b173-c3d8-4957-8caf-95a689e8db38' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e4a1b173-c3d8-4957-8caf-95a689e8db38' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c8fe588a-30e6-4c0e-a477-e288d418b180' class='xr-var-data-in' type='checkbox'><label for='data-c8fe588a-30e6-4c0e-a477-e288d418b180' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 2.33669491e-03,  2.70632289e-03, -3.66042421e-03, ...,\n",
-              "        -9.93964451e-03, -4.24278117e-03,  1.37979419e-01],\n",
-              "       [ 8.26203198e-05,  2.81849720e-02, -7.53193986e-03, ...,\n",
-              "        -1.52429227e-02,  1.41509557e-01, -1.81395677e-01],\n",
-              "       [-4.70084106e-02, -1.24511524e-02, -2.23654016e-02, ...,\n",
-              "         3.54065710e-03, -5.55911200e-02,  4.01805494e-02],\n",
-              "       [ 1.98323903e-03, -1.21565862e-02,  1.66761746e-02, ...,\n",
-              "        -5.09003651e-03,  3.37923375e-02, -7.93533020e-02]],\n",
-              "      shape=(4, 1000))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>n_steps</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.023e+03 1.023e+03 ... 1.023e+03</div><input id='attrs-e8ba17b1-8ee7-45a4-a05a-8182de6f6080' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e8ba17b1-8ee7-45a4-a05a-8182de6f6080' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6b2b98fe-6989-4616-b332-e9b5ec1e87c8' class='xr-var-data-in' type='checkbox'><label for='data-6b2b98fe-6989-4616-b332-e9b5ec1e87c8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[1023., 1023., 1023., ..., 1023., 1023., 1023.],\n",
-              "       [1023., 1023., 1023., ..., 1023., 1023., 1023.],\n",
-              "       [1023., 1023., 1023., ..., 1023., 1023., 1023.],\n",
-              "       [1023., 1023., 1023., ..., 1023., 1023., 1023.]], shape=(4, 1000))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>step_size</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.001714 0.001714 ... 0.00155</div><input id='attrs-33ea6536-316e-4adb-b9ed-a97d7ec7980d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-33ea6536-316e-4adb-b9ed-a97d7ec7980d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ece93137-e962-4345-a050-c5f1e72b1c4f' class='xr-var-data-in' type='checkbox'><label for='data-ece93137-e962-4345-a050-c5f1e72b1c4f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.00171366, 0.00171366, 0.00171366, ..., 0.00171366, 0.00171366,\n",
-              "        0.00171366],\n",
-              "       [0.00185661, 0.00185661, 0.00185661, ..., 0.00185661, 0.00185661,\n",
-              "        0.00185661],\n",
-              "       [0.00194268, 0.00194268, 0.00194268, ..., 0.00194268, 0.00194268,\n",
-              "        0.00194268],\n",
-              "       [0.00155004, 0.00155004, 0.00155004, ..., 0.00155004, 0.00155004,\n",
-              "        0.00155004]], shape=(4, 1000))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lp</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>38.28 40.37 40.77 ... 36.65 40.34</div><input id='attrs-4a34bf5e-1d87-4474-b7b0-6c1942d22fb2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4a34bf5e-1d87-4474-b7b0-6c1942d22fb2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9d4bd207-8e45-40c3-aee7-507e1493c76f' class='xr-var-data-in' type='checkbox'><label for='data-9d4bd207-8e45-40c3-aee7-507e1493c76f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[38.27693967, 40.36936561, 40.76995526, ..., 31.4364381 ,\n",
-              "        30.2283203 , 32.80492117],\n",
-              "       [42.45167379, 44.19945874, 45.51671002, ..., 38.14182764,\n",
-              "        34.07379869, 35.71600622],\n",
-              "       [40.97089275, 35.11338337, 37.48571769, ..., 37.66809151,\n",
-              "        39.06314119, 38.4736067 ],\n",
-              "       [34.63365279, 36.87946409, 37.1059487 , ..., 38.72717027,\n",
-              "        36.6469823 , 40.34363306]], shape=(4, 1000))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>energy</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-28.31 -30.91 ... -32.45 -30.58</div><input id='attrs-0d4c2c34-a005-40cd-900c-3ec701793c50' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0d4c2c34-a005-40cd-900c-3ec701793c50' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2b548c0b-a5a0-496b-85f9-456561ea6fdb' class='xr-var-data-in' type='checkbox'><label for='data-2b548c0b-a5a0-496b-85f9-456561ea6fdb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-28.30803632, -30.91124202, -34.35676759, ..., -25.27839633,\n",
-              "        -24.4031051 , -18.07810502],\n",
-              "       [-37.50465646, -39.05233898, -40.03493624, ..., -31.16490884,\n",
-              "        -20.23981183, -26.37290314],\n",
-              "       [-32.09226587, -31.87406058, -25.15525425, ..., -31.96376766,\n",
-              "        -31.35117133, -34.87625147],\n",
-              "       [-29.82453681, -28.45651528, -31.71093069, ..., -28.12946873,\n",
-              "        -32.44901202, -30.57863683]], shape=(4, 1000))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b0243f32-8ac2-4bf6-b4b9-d9dd851808cb' class='xr-section-summary-in' type='checkbox' checked /><label for='section-b0243f32-8ac2-4bf6-b4b9-d9dd851808cb' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>created_at :</span></dt><dd>2026-02-28T22:18:02.960716+00:00</dd><dt><span>arviz_version :</span></dt><dd>0.23.4</dd><dt><span>inference_library :</span></dt><dd>pymc</dd><dt><span>inference_library_version :</span></dt><dd>5.27.1</dd><dt><span>sampling_time :</span></dt><dd>80.99764895439148</dd><dt><span>tuning_steps :</span></dt><dd>1000</dd></dl></div></li></ul></div></div><br></div>\n",
-              "                      </ul>\n",
-              "                  </div>\n",
-              "            </li>\n",
-              "            \n",
-              "            <li class = \"xr-section-item\">\n",
-              "                  <input id=\"idata_prior6c3fd2fa-509f-493e-a4dd-989002fab76b\" class=\"xr-section-summary-in\" type=\"checkbox\">\n",
-              "                  <label for=\"idata_prior6c3fd2fa-509f-493e-a4dd-989002fab76b\" class = \"xr-section-summary\">prior</label>\n",
-              "                  <div class=\"xr-section-inline-details\"></div>\n",
-              "                  <div class=\"xr-section-details\">\n",
-              "                      <ul id=\"xr-dataset-coord-list\" class=\"xr-var-list\">\n",
-              "                          <div style=\"padding-left:2rem;\"><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
-              "<defs>\n",
-              "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
-              "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
-              "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
-              "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
-              "</symbol>\n",
-              "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
-              "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
-              "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
-              "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
-              "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
-              "</symbol>\n",
-              "</defs>\n",
-              "</svg>\n",
-              "<style>/* CSS stylesheet for displaying xarray objects in notebooks */\n",
-              "\n",
-              ":root {\n",
-              "  --xr-font-color0: var(\n",
-              "    --jp-content-font-color0,\n",
-              "    var(--pst-color-text-base rgba(0, 0, 0, 1))\n",
-              "  );\n",
-              "  --xr-font-color2: var(\n",
-              "    --jp-content-font-color2,\n",
-              "    var(--pst-color-text-base, rgba(0, 0, 0, 0.54))\n",
-              "  );\n",
-              "  --xr-font-color3: var(\n",
-              "    --jp-content-font-color3,\n",
-              "    var(--pst-color-text-base, rgba(0, 0, 0, 0.38))\n",
-              "  );\n",
-              "  --xr-border-color: var(\n",
-              "    --jp-border-color2,\n",
-              "    hsl(from var(--pst-color-on-background, white) h s calc(l - 10))\n",
-              "  );\n",
-              "  --xr-disabled-color: var(\n",
-              "    --jp-layout-color3,\n",
-              "    hsl(from var(--pst-color-on-background, white) h s calc(l - 40))\n",
-              "  );\n",
-              "  --xr-background-color: var(\n",
-              "    --jp-layout-color0,\n",
-              "    var(--pst-color-on-background, white)\n",
-              "  );\n",
-              "  --xr-background-color-row-even: var(\n",
-              "    --jp-layout-color1,\n",
-              "    hsl(from var(--pst-color-on-background, white) h s calc(l - 5))\n",
-              "  );\n",
-              "  --xr-background-color-row-odd: var(\n",
-              "    --jp-layout-color2,\n",
-              "    hsl(from var(--pst-color-on-background, white) h s calc(l - 15))\n",
-              "  );\n",
-              "}\n",
-              "\n",
-              "html[theme=\"dark\"],\n",
-              "html[data-theme=\"dark\"],\n",
-              "body[data-theme=\"dark\"],\n",
-              "body.vscode-dark {\n",
-              "  --xr-font-color0: var(\n",
-              "    --jp-content-font-color0,\n",
-              "    var(--pst-color-text-base, rgba(255, 255, 255, 1))\n",
-              "  );\n",
-              "  --xr-font-color2: var(\n",
-              "    --jp-content-font-color2,\n",
-              "    var(--pst-color-text-base, rgba(255, 255, 255, 0.54))\n",
-              "  );\n",
-              "  --xr-font-color3: var(\n",
-              "    --jp-content-font-color3,\n",
-              "    var(--pst-color-text-base, rgba(255, 255, 255, 0.38))\n",
-              "  );\n",
-              "  --xr-border-color: var(\n",
-              "    --jp-border-color2,\n",
-              "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 10))\n",
-              "  );\n",
-              "  --xr-disabled-color: var(\n",
-              "    --jp-layout-color3,\n",
-              "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 40))\n",
-              "  );\n",
-              "  --xr-background-color: var(\n",
-              "    --jp-layout-color0,\n",
-              "    var(--pst-color-on-background, #111111)\n",
-              "  );\n",
-              "  --xr-background-color-row-even: var(\n",
-              "    --jp-layout-color1,\n",
-              "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 5))\n",
-              "  );\n",
-              "  --xr-background-color-row-odd: var(\n",
-              "    --jp-layout-color2,\n",
-              "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 15))\n",
-              "  );\n",
-              "}\n",
-              "\n",
-              ".xr-wrap {\n",
-              "  display: block !important;\n",
-              "  min-width: 300px;\n",
-              "  max-width: 700px;\n",
-              "  line-height: 1.6;\n",
-              "  padding-bottom: 4px;\n",
-              "}\n",
-              "\n",
-              ".xr-text-repr-fallback {\n",
-              "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
-              "  display: none;\n",
-              "}\n",
-              "\n",
-              ".xr-header {\n",
-              "  padding-top: 6px;\n",
-              "  padding-bottom: 6px;\n",
-              "}\n",
-              "\n",
-              ".xr-header {\n",
-              "  border-bottom: solid 1px var(--xr-border-color);\n",
-              "  margin-bottom: 4px;\n",
-              "}\n",
-              "\n",
-              ".xr-header > div,\n",
-              ".xr-header > ul {\n",
-              "  display: inline;\n",
-              "  margin-top: 0;\n",
-              "  margin-bottom: 0;\n",
-              "}\n",
-              "\n",
-              ".xr-obj-type,\n",
-              ".xr-obj-name {\n",
-              "  margin-left: 2px;\n",
-              "  margin-right: 10px;\n",
-              "}\n",
-              "\n",
-              ".xr-obj-type,\n",
-              ".xr-group-box-contents > label {\n",
-              "  color: var(--xr-font-color2);\n",
-              "  display: block;\n",
-              "}\n",
-              "\n",
-              ".xr-sections {\n",
-              "  padding-left: 0 !important;\n",
-              "  display: grid;\n",
-              "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
-              "  margin-block-start: 0;\n",
-              "  margin-block-end: 0;\n",
-              "}\n",
-              "\n",
-              ".xr-section-item {\n",
-              "  display: contents;\n",
-              "}\n",
-              "\n",
-              ".xr-section-item > input,\n",
-              ".xr-group-box-contents > input,\n",
-              ".xr-array-wrap > input {\n",
-              "  display: block;\n",
-              "  opacity: 0;\n",
-              "  height: 0;\n",
-              "  margin: 0;\n",
-              "}\n",
-              "\n",
-              ".xr-section-item > input + label,\n",
-              ".xr-var-item > input + label {\n",
-              "  color: var(--xr-disabled-color);\n",
-              "}\n",
-              "\n",
-              ".xr-section-item > input:enabled + label,\n",
-              ".xr-var-item > input:enabled + label,\n",
-              ".xr-array-wrap > input:enabled + label,\n",
-              ".xr-group-box-contents > input:enabled + label {\n",
-              "  cursor: pointer;\n",
-              "  color: var(--xr-font-color2);\n",
-              "}\n",
-              "\n",
-              ".xr-section-item > input:focus-visible + label,\n",
-              ".xr-var-item > input:focus-visible + label,\n",
-              ".xr-array-wrap > input:focus-visible + label,\n",
-              ".xr-group-box-contents > input:focus-visible + label {\n",
-              "  outline: auto;\n",
-              "}\n",
-              "\n",
-              ".xr-section-item > input:enabled + label:hover,\n",
-              ".xr-var-item > input:enabled + label:hover,\n",
-              ".xr-array-wrap > input:enabled + label:hover,\n",
-              ".xr-group-box-contents > input:enabled + label:hover {\n",
-              "  color: var(--xr-font-color0);\n",
-              "}\n",
-              "\n",
-              ".xr-section-summary {\n",
-              "  grid-column: 1;\n",
-              "  color: var(--xr-font-color2);\n",
-              "  font-weight: 500;\n",
-              "  white-space: nowrap;\n",
-              "}\n",
-              "\n",
-              ".xr-section-summary > em {\n",
-              "  font-weight: normal;\n",
-              "}\n",
-              "\n",
-              ".xr-span-grid {\n",
-              "  grid-column-end: -1;\n",
-              "}\n",
-              "\n",
-              ".xr-section-summary > span {\n",
-              "  display: inline-block;\n",
-              "  padding-left: 0.3em;\n",
-              "}\n",
-              "\n",
-              ".xr-group-box-contents > input:checked + label > span {\n",
-              "  display: inline-block;\n",
-              "  padding-left: 0.6em;\n",
-              "}\n",
-              "\n",
-              ".xr-section-summary-in:disabled + label {\n",
-              "  color: var(--xr-font-color2);\n",
-              "}\n",
-              "\n",
-              ".xr-section-summary-in + label:before {\n",
-              "  display: inline-block;\n",
-              "  content: \"►\";\n",
-              "  font-size: 11px;\n",
-              "  width: 15px;\n",
-              "  text-align: center;\n",
-              "}\n",
-              "\n",
-              ".xr-section-summary-in:disabled + label:before {\n",
-              "  color: var(--xr-disabled-color);\n",
-              "}\n",
-              "\n",
-              ".xr-section-summary-in:checked + label:before {\n",
-              "  content: \"▼\";\n",
-              "}\n",
-              "\n",
-              ".xr-section-summary-in:checked + label > span {\n",
-              "  display: none;\n",
-              "}\n",
-              "\n",
-              ".xr-section-summary,\n",
-              ".xr-section-inline-details,\n",
-              ".xr-group-box-contents > label {\n",
-              "  padding-top: 4px;\n",
-              "}\n",
-              "\n",
-              ".xr-section-inline-details {\n",
-              "  grid-column: 2 / -1;\n",
-              "}\n",
-              "\n",
-              ".xr-section-details {\n",
-              "  grid-column: 1 / -1;\n",
-              "  margin-top: 4px;\n",
-              "  margin-bottom: 5px;\n",
-              "}\n",
-              "\n",
-              ".xr-section-summary-in ~ .xr-section-details {\n",
-              "  display: none;\n",
-              "}\n",
-              "\n",
-              ".xr-section-summary-in:checked ~ .xr-section-details {\n",
-              "  display: contents;\n",
-              "}\n",
-              "\n",
-              ".xr-children {\n",
-              "  display: inline-grid;\n",
-              "  grid-template-columns: 100%;\n",
-              "  grid-column: 1 / -1;\n",
-              "  padding-top: 4px;\n",
-              "}\n",
-              "\n",
-              ".xr-group-box {\n",
-              "  display: inline-grid;\n",
-              "  grid-template-columns: 0px 30px auto;\n",
-              "}\n",
-              "\n",
-              ".xr-group-box-vline {\n",
-              "  grid-column-start: 1;\n",
-              "  border-right: 0.2em solid;\n",
-              "  border-color: var(--xr-border-color);\n",
-              "  width: 0px;\n",
-              "}\n",
-              "\n",
-              ".xr-group-box-hline {\n",
-              "  grid-column-start: 2;\n",
-              "  grid-row-start: 1;\n",
-              "  height: 1em;\n",
-              "  width: 26px;\n",
-              "  border-bottom: 0.2em solid;\n",
-              "  border-color: var(--xr-border-color);\n",
-              "}\n",
-              "\n",
-              ".xr-group-box-contents {\n",
-              "  grid-column-start: 3;\n",
-              "  padding-bottom: 4px;\n",
-              "}\n",
-              "\n",
-              ".xr-group-box-contents > label::before {\n",
-              "  content: \"📂\";\n",
-              "  padding-right: 0.3em;\n",
-              "}\n",
-              "\n",
-              ".xr-group-box-contents > input:checked + label::before {\n",
-              "  content: \"📁\";\n",
-              "}\n",
-              "\n",
-              ".xr-group-box-contents > input:checked + label {\n",
-              "  padding-bottom: 0px;\n",
-              "}\n",
-              "\n",
-              ".xr-group-box-contents > input:checked ~ .xr-sections {\n",
-              "  display: none;\n",
-              "}\n",
-              "\n",
-              ".xr-group-box-contents > input + label > span {\n",
-              "  display: none;\n",
-              "}\n",
-              "\n",
-              ".xr-group-box-ellipsis {\n",
-              "  font-size: 1.4em;\n",
-              "  font-weight: 900;\n",
-              "  color: var(--xr-font-color2);\n",
-              "  letter-spacing: 0.15em;\n",
-              "  cursor: default;\n",
-              "}\n",
-              "\n",
-              ".xr-array-wrap {\n",
-              "  grid-column: 1 / -1;\n",
-              "  display: grid;\n",
-              "  grid-template-columns: 20px auto;\n",
-              "}\n",
-              "\n",
-              ".xr-array-wrap > label {\n",
-              "  grid-column: 1;\n",
-              "  vertical-align: top;\n",
-              "}\n",
-              "\n",
-              ".xr-preview {\n",
-              "  color: var(--xr-font-color3);\n",
-              "}\n",
-              "\n",
-              ".xr-array-preview,\n",
-              ".xr-array-data {\n",
-              "  padding: 0 5px !important;\n",
-              "  grid-column: 2;\n",
-              "}\n",
-              "\n",
-              ".xr-array-data,\n",
-              ".xr-array-in:checked ~ .xr-array-preview {\n",
-              "  display: none;\n",
-              "}\n",
-              "\n",
-              ".xr-array-in:checked ~ .xr-array-data,\n",
-              ".xr-array-preview {\n",
-              "  display: inline-block;\n",
-              "}\n",
-              "\n",
-              ".xr-dim-list {\n",
-              "  display: inline-block !important;\n",
-              "  list-style: none;\n",
-              "  padding: 0 !important;\n",
-              "  margin: 0;\n",
-              "}\n",
-              "\n",
-              ".xr-dim-list li {\n",
-              "  display: inline-block;\n",
-              "  padding: 0;\n",
-              "  margin: 0;\n",
-              "}\n",
-              "\n",
-              ".xr-dim-list:before {\n",
-              "  content: \"(\";\n",
-              "}\n",
-              "\n",
-              ".xr-dim-list:after {\n",
-              "  content: \")\";\n",
-              "}\n",
-              "\n",
-              ".xr-dim-list li:not(:last-child):after {\n",
-              "  content: \",\";\n",
-              "  padding-right: 5px;\n",
-              "}\n",
-              "\n",
-              ".xr-has-index {\n",
-              "  font-weight: bold;\n",
-              "}\n",
-              "\n",
-              ".xr-var-list,\n",
-              ".xr-var-item {\n",
-              "  display: contents;\n",
-              "}\n",
-              "\n",
-              ".xr-var-item > div,\n",
-              ".xr-var-item label,\n",
-              ".xr-var-item > .xr-var-name span {\n",
-              "  background-color: var(--xr-background-color-row-even);\n",
-              "  border-color: var(--xr-background-color-row-odd);\n",
-              "  margin-bottom: 0;\n",
-              "  padding-top: 2px;\n",
-              "}\n",
-              "\n",
-              ".xr-var-item > .xr-var-name:hover span {\n",
-              "  padding-right: 5px;\n",
-              "}\n",
-              "\n",
-              ".xr-var-list > li:nth-child(odd) > div,\n",
-              ".xr-var-list > li:nth-child(odd) > label,\n",
-              ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
-              "  background-color: var(--xr-background-color-row-odd);\n",
-              "  border-color: var(--xr-background-color-row-even);\n",
-              "}\n",
-              "\n",
-              ".xr-var-name {\n",
-              "  grid-column: 1;\n",
-              "}\n",
-              "\n",
-              ".xr-var-dims {\n",
-              "  grid-column: 2;\n",
-              "}\n",
-              "\n",
-              ".xr-var-dtype {\n",
-              "  grid-column: 3;\n",
-              "  text-align: right;\n",
-              "  color: var(--xr-font-color2);\n",
-              "}\n",
-              "\n",
-              ".xr-var-preview {\n",
-              "  grid-column: 4;\n",
-              "}\n",
-              "\n",
-              ".xr-index-preview {\n",
-              "  grid-column: 2 / 5;\n",
-              "  color: var(--xr-font-color2);\n",
-              "}\n",
-              "\n",
-              ".xr-var-name,\n",
-              ".xr-var-dims,\n",
-              ".xr-var-dtype,\n",
-              ".xr-preview,\n",
-              ".xr-attrs dt {\n",
-              "  white-space: nowrap;\n",
-              "  overflow: hidden;\n",
-              "  text-overflow: ellipsis;\n",
-              "  padding-right: 10px;\n",
-              "}\n",
-              "\n",
-              ".xr-var-name:hover,\n",
-              ".xr-var-dims:hover,\n",
-              ".xr-var-dtype:hover,\n",
-              ".xr-attrs dt:hover {\n",
-              "  overflow: visible;\n",
-              "  width: auto;\n",
-              "  z-index: 1;\n",
-              "}\n",
-              "\n",
-              ".xr-var-attrs,\n",
-              ".xr-var-data,\n",
-              ".xr-index-data {\n",
-              "  display: none;\n",
-              "  border-top: 2px dotted var(--xr-background-color);\n",
-              "  padding-bottom: 20px !important;\n",
-              "  padding-top: 10px !important;\n",
-              "}\n",
-              "\n",
-              ".xr-var-attrs-in + label,\n",
-              ".xr-var-data-in + label,\n",
-              ".xr-index-data-in + label {\n",
-              "  padding: 0 1px;\n",
-              "}\n",
-              "\n",
-              ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
-              ".xr-var-data-in:checked ~ .xr-var-data,\n",
-              ".xr-index-data-in:checked ~ .xr-index-data {\n",
-              "  display: block;\n",
-              "}\n",
-              "\n",
-              ".xr-var-data > table {\n",
-              "  float: right;\n",
-              "}\n",
-              "\n",
-              ".xr-var-data > pre,\n",
-              ".xr-index-data > pre,\n",
-              ".xr-var-data > table > tbody > tr {\n",
-              "  background-color: transparent !important;\n",
-              "}\n",
-              "\n",
-              ".xr-var-name span,\n",
-              ".xr-var-data,\n",
-              ".xr-index-name div,\n",
-              ".xr-index-data,\n",
-              ".xr-attrs {\n",
-              "  padding-left: 25px !important;\n",
-              "}\n",
-              "\n",
-              ".xr-attrs,\n",
-              ".xr-var-attrs,\n",
-              ".xr-var-data,\n",
-              ".xr-index-data {\n",
-              "  grid-column: 1 / -1;\n",
-              "}\n",
-              "\n",
-              "dl.xr-attrs {\n",
-              "  padding: 0;\n",
-              "  margin: 0;\n",
-              "  display: grid;\n",
-              "  grid-template-columns: 125px auto;\n",
-              "}\n",
-              "\n",
-              ".xr-attrs dt,\n",
-              ".xr-attrs dd {\n",
-              "  padding: 0;\n",
-              "  margin: 0;\n",
-              "  float: left;\n",
-              "  padding-right: 10px;\n",
-              "  width: auto;\n",
-              "}\n",
-              "\n",
-              ".xr-attrs dt {\n",
-              "  font-weight: normal;\n",
-              "  grid-column: 1;\n",
-              "}\n",
-              "\n",
-              ".xr-attrs dt:hover span {\n",
-              "  display: inline-block;\n",
-              "  background: var(--xr-background-color);\n",
-              "  padding-right: 10px;\n",
-              "}\n",
-              "\n",
-              ".xr-attrs dd {\n",
-              "  grid-column: 2;\n",
-              "  white-space: pre-wrap;\n",
-              "  word-break: break-all;\n",
-              "}\n",
-              "\n",
-              ".xr-icon-database,\n",
-              ".xr-icon-file-text2,\n",
-              ".xr-no-icon {\n",
-              "  display: inline-block;\n",
-              "  vertical-align: middle;\n",
-              "  width: 1em;\n",
-              "  height: 1.5em !important;\n",
-              "  stroke-width: 0;\n",
-              "  stroke: currentColor;\n",
-              "  fill: currentColor;\n",
-              "}\n",
-              "\n",
-              ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
-              ".xr-var-data-in:checked + label > .xr-icon-database,\n",
-              ".xr-index-data-in:checked + label > .xr-icon-database {\n",
-              "  color: var(--xr-font-color0);\n",
-              "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
-              "  stroke-width: 0.8px;\n",
-              "}\n",
-              "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 189kB\n",
-              "Dimensions:        (chain: 1, draw: 500, treated_units: 1, obs_ind: 30,\n",
-              "                    coeffs: 15)\n",
-              "Coordinates:\n",
-              "  * chain          (chain) int64 8B 0\n",
-              "  * draw           (draw) int64 4kB 0 1 2 3 4 5 6 ... 494 495 496 497 498 499\n",
-              "  * treated_units  (treated_units) &lt;U2 8B &#x27;UK&#x27;\n",
-              "  * obs_ind        (obs_ind) int64 240B 0 1 2 3 4 5 6 7 ... 23 24 25 26 27 28 29\n",
-              "  * coeffs         (coeffs) &lt;U11 660B &#x27;Australia&#x27; &#x27;Austria&#x27; ... &#x27;Switzerland&#x27;\n",
-              "Data variables:\n",
-              "    y_hat_sigma    (chain, draw, treated_units) float64 4kB 0.4183 ... 0.9914\n",
-              "    mu             (chain, draw, obs_ind, treated_units) float64 120kB 5.152 ...\n",
-              "    beta           (chain, draw, treated_units, coeffs) float64 60kB 0.01612 ...\n",
-              "Attributes:\n",
-              "    created_at:                 2026-02-28T22:18:03.118333+00:00\n",
-              "    arviz_version:              0.23.4\n",
-              "    inference_library:          pymc\n",
-              "    inference_library_version:  5.27.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-3d7a77f3-0332-4c14-8532-215ca17d9723' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-3d7a77f3-0332-4c14-8532-215ca17d9723' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>chain</span>: 1</li><li><span class='xr-has-index'>draw</span>: 500</li><li><span class='xr-has-index'>treated_units</span>: 1</li><li><span class='xr-has-index'>obs_ind</span>: 30</li><li><span class='xr-has-index'>coeffs</span>: 15</li></ul></div></li><li class='xr-section-item'><input id='section-64ff05bf-8e18-48a1-acf1-7b30173a75d5' class='xr-section-summary-in' type='checkbox' checked /><label for='section-64ff05bf-8e18-48a1-acf1-7b30173a75d5' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>chain</span></div><div class='xr-var-dims'>(chain)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-0446d455-a5e4-4413-b5d4-9a403dab8a3d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0446d455-a5e4-4413-b5d4-9a403dab8a3d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d0dd3d03-cc8a-4481-8b5d-fef0793084e6' class='xr-var-data-in' type='checkbox'><label for='data-d0dd3d03-cc8a-4481-8b5d-fef0793084e6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>draw</span></div><div class='xr-var-dims'>(draw)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 495 496 497 498 499</div><input id='attrs-608ab2d7-18f5-4bac-8999-da8be7cec114' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-608ab2d7-18f5-4bac-8999-da8be7cec114' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-759051aa-3b0c-40eb-8f1f-c22f9698c316' class='xr-var-data-in' type='checkbox'><label for='data-759051aa-3b0c-40eb-8f1f-c22f9698c316' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([  0,   1,   2, ..., 497, 498, 499], shape=(500,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>treated_units</span></div><div class='xr-var-dims'>(treated_units)</div><div class='xr-var-dtype'>&lt;U2</div><div class='xr-var-preview xr-preview'>&#x27;UK&#x27;</div><input id='attrs-9ff69b92-ad1f-4483-9a64-714293bbef16' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9ff69b92-ad1f-4483-9a64-714293bbef16' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d97e4438-1ebd-45ad-ba93-692f2092fb32' class='xr-var-data-in' type='checkbox'><label for='data-d97e4438-1ebd-45ad-ba93-692f2092fb32' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;UK&#x27;], dtype=&#x27;&lt;U2&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>obs_ind</span></div><div class='xr-var-dims'>(obs_ind)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 24 25 26 27 28 29</div><input id='attrs-f9fa9205-ff0d-4367-927d-952ab531bdef' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f9fa9205-ff0d-4367-927d-952ab531bdef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b11114a9-5989-4cac-8d24-8c9354a6aa56' class='xr-var-data-in' type='checkbox'><label for='data-b11114a9-5989-4cac-8d24-8c9354a6aa56' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
-              "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>coeffs</span></div><div class='xr-var-dims'>(coeffs)</div><div class='xr-var-dtype'>&lt;U11</div><div class='xr-var-preview xr-preview'>&#x27;Australia&#x27; ... &#x27;Switzerland&#x27;</div><input id='attrs-19e9a69c-2950-43a2-91e2-04b003e69056' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-19e9a69c-2950-43a2-91e2-04b003e69056' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a3dc3498-99c3-4ae8-bff6-1dd51d0ad3a3' class='xr-var-data-in' type='checkbox'><label for='data-a3dc3498-99c3-4ae8-bff6-1dd51d0ad3a3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;Australia&#x27;, &#x27;Austria&#x27;, &#x27;Belgium&#x27;, &#x27;Canada&#x27;, &#x27;Denmark&#x27;, &#x27;Finland&#x27;,\n",
-              "       &#x27;France&#x27;, &#x27;Germany&#x27;, &#x27;Iceland&#x27;, &#x27;Luxemburg&#x27;, &#x27;Netherlands&#x27;,\n",
-              "       &#x27;New_Zealand&#x27;, &#x27;Norway&#x27;, &#x27;Sweden&#x27;, &#x27;Switzerland&#x27;], dtype=&#x27;&lt;U11&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3091dce1-21a5-4159-8003-82717a931b03' class='xr-section-summary-in' type='checkbox' checked /><label for='section-3091dce1-21a5-4159-8003-82717a931b03' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>y_hat_sigma</span></div><div class='xr-var-dims'>(chain, draw, treated_units)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.4183 0.6056 ... 0.9556 0.9914</div><input id='attrs-3951ebc6-8ed7-46ae-a0e7-7617aadcd367' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3951ebc6-8ed7-46ae-a0e7-7617aadcd367' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-01fb2348-6827-4955-b046-2b924f761133' class='xr-var-data-in' type='checkbox'><label for='data-01fb2348-6827-4955-b046-2b924f761133' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[0.41832997],\n",
-              "        [0.60557617],\n",
-              "        [0.02878786],\n",
-              "        [1.084246  ],\n",
-              "        [1.46422098],\n",
-              "        [0.29072736],\n",
-              "        [1.33075642],\n",
-              "        [0.03472346],\n",
-              "        [0.28041847],\n",
-              "        [0.10749307],\n",
-              "        [1.92080086],\n",
-              "        [1.57864499],\n",
-              "        [1.00595719],\n",
-              "        [0.45121505],\n",
-              "        [0.59343367],\n",
-              "        [0.09382112],\n",
-              "        [1.85195867],\n",
-              "        [0.25590475],\n",
-              "        [0.28298637],\n",
-              "        [0.415816  ],\n",
-              "...\n",
-              "        [0.00701465],\n",
-              "        [1.35254573],\n",
-              "        [0.55302397],\n",
-              "        [1.00111538],\n",
-              "        [0.4508672 ],\n",
-              "        [0.6071619 ],\n",
-              "        [1.72811239],\n",
-              "        [0.38531025],\n",
-              "        [1.0977206 ],\n",
-              "        [1.21844911],\n",
-              "        [1.0680861 ],\n",
-              "        [0.81158037],\n",
-              "        [0.88338946],\n",
-              "        [0.61570669],\n",
-              "        [0.07811817],\n",
-              "        [0.42106163],\n",
-              "        [1.15124221],\n",
-              "        [0.64150838],\n",
-              "        [0.95555201],\n",
-              "        [0.99141828]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mu</span></div><div class='xr-var-dims'>(chain, draw, obs_ind, treated_units)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.152 5.134 5.148 ... 4.015 4.029</div><input id='attrs-fb6c3b0b-d2cf-4b3d-9e8d-cf29abd443d8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fb6c3b0b-d2cf-4b3d-9e8d-cf29abd443d8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5295b679-8585-4850-8197-d3b3db6719e3' class='xr-var-data-in' type='checkbox'><label for='data-5295b679-8585-4850-8197-d3b3db6719e3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[[5.15181542],\n",
-              "         [5.13351115],\n",
-              "         [5.14840625],\n",
-              "         ...,\n",
-              "         [5.94053258],\n",
-              "         [5.93269673],\n",
-              "         [5.99527011]],\n",
-              "\n",
-              "        [[3.14303422],\n",
-              "         [3.12215643],\n",
-              "         [3.13889825],\n",
-              "         ...,\n",
-              "         [3.5457518 ],\n",
-              "         [3.55773779],\n",
-              "         [3.57886015]],\n",
-              "\n",
-              "        [[3.89413729],\n",
-              "         [3.88093882],\n",
-              "         [3.89500302],\n",
-              "         ...,\n",
-              "...\n",
-              "         ...,\n",
-              "         [3.50627593],\n",
-              "         [3.50234603],\n",
-              "         [3.55496114]],\n",
-              "\n",
-              "        [[3.8847499 ],\n",
-              "         [3.87466096],\n",
-              "         [3.8945804 ],\n",
-              "         ...,\n",
-              "         [4.41889718],\n",
-              "         [4.42832923],\n",
-              "         [4.46439549]],\n",
-              "\n",
-              "        [[3.59021989],\n",
-              "         [3.56508195],\n",
-              "         [3.57766245],\n",
-              "         ...,\n",
-              "         [3.99187882],\n",
-              "         [4.01528149],\n",
-              "         [4.02941803]]]], shape=(1, 500, 30, 1))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>beta</span></div><div class='xr-var-dims'>(chain, draw, treated_units, coeffs)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.01612 0.007296 ... 0.02692 0.1085</div><input id='attrs-4e45af98-2794-4d17-ab57-0fcced90304f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4e45af98-2794-4d17-ab57-0fcced90304f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-52a2fa46-f266-411d-abf6-e47471054982' class='xr-var-data-in' type='checkbox'><label for='data-52a2fa46-f266-411d-abf6-e47471054982' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[[0.01611534, 0.00729643, 0.04001585, ..., 0.0342394 ,\n",
-              "          0.26094518, 0.00039832]],\n",
-              "\n",
-              "        [[0.05823526, 0.14704254, 0.00034295, ..., 0.01011905,\n",
-              "          0.00391472, 0.03956651]],\n",
-              "\n",
-              "        [[0.0255386 , 0.04532523, 0.01173951, ..., 0.02871608,\n",
-              "          0.07848365, 0.09080921]],\n",
-              "\n",
-              "        ...,\n",
-              "\n",
-              "        [[0.07285108, 0.10548195, 0.06013605, ..., 0.00703748,\n",
-              "          0.00427473, 0.07747068]],\n",
-              "\n",
-              "        [[0.09845294, 0.12556757, 0.0537052 , ..., 0.02061132,\n",
-              "          0.031361  , 0.02323109]],\n",
-              "\n",
-              "        [[0.02291047, 0.19441152, 0.00494595, ..., 0.06271598,\n",
-              "          0.02691684, 0.10845437]]]], shape=(1, 500, 1, 15))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-91d2d4f1-b92f-4c38-bb23-a913608f7d0e' class='xr-section-summary-in' type='checkbox' checked /><label for='section-91d2d4f1-b92f-4c38-bb23-a913608f7d0e' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>created_at :</span></dt><dd>2026-02-28T22:18:03.118333+00:00</dd><dt><span>arviz_version :</span></dt><dd>0.23.4</dd><dt><span>inference_library :</span></dt><dd>pymc</dd><dt><span>inference_library_version :</span></dt><dd>5.27.1</dd></dl></div></li></ul></div></div><br></div>\n",
-              "                      </ul>\n",
-              "                  </div>\n",
-              "            </li>\n",
-              "            \n",
-              "            <li class = \"xr-section-item\">\n",
-              "                  <input id=\"idata_prior_predictive210fa294-0f9a-4109-935a-c8d426596c51\" class=\"xr-section-summary-in\" type=\"checkbox\">\n",
-              "                  <label for=\"idata_prior_predictive210fa294-0f9a-4109-935a-c8d426596c51\" class = \"xr-section-summary\">prior_predictive</label>\n",
-              "                  <div class=\"xr-section-inline-details\"></div>\n",
-              "                  <div class=\"xr-section-details\">\n",
-              "                      <ul id=\"xr-dataset-coord-list\" class=\"xr-var-list\">\n",
-              "                          <div style=\"padding-left:2rem;\"><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
-              "<defs>\n",
-              "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
-              "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
-              "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
-              "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
-              "</symbol>\n",
-              "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
-              "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
-              "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
-              "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
-              "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
-              "</symbol>\n",
-              "</defs>\n",
-              "</svg>\n",
-              "<style>/* CSS stylesheet for displaying xarray objects in notebooks */\n",
-              "\n",
-              ":root {\n",
-              "  --xr-font-color0: var(\n",
-              "    --jp-content-font-color0,\n",
-              "    var(--pst-color-text-base rgba(0, 0, 0, 1))\n",
-              "  );\n",
-              "  --xr-font-color2: var(\n",
-              "    --jp-content-font-color2,\n",
-              "    var(--pst-color-text-base, rgba(0, 0, 0, 0.54))\n",
-              "  );\n",
-              "  --xr-font-color3: var(\n",
-              "    --jp-content-font-color3,\n",
-              "    var(--pst-color-text-base, rgba(0, 0, 0, 0.38))\n",
-              "  );\n",
-              "  --xr-border-color: var(\n",
-              "    --jp-border-color2,\n",
-              "    hsl(from var(--pst-color-on-background, white) h s calc(l - 10))\n",
-              "  );\n",
-              "  --xr-disabled-color: var(\n",
-              "    --jp-layout-color3,\n",
-              "    hsl(from var(--pst-color-on-background, white) h s calc(l - 40))\n",
-              "  );\n",
-              "  --xr-background-color: var(\n",
-              "    --jp-layout-color0,\n",
-              "    var(--pst-color-on-background, white)\n",
-              "  );\n",
-              "  --xr-background-color-row-even: var(\n",
-              "    --jp-layout-color1,\n",
-              "    hsl(from var(--pst-color-on-background, white) h s calc(l - 5))\n",
-              "  );\n",
-              "  --xr-background-color-row-odd: var(\n",
-              "    --jp-layout-color2,\n",
-              "    hsl(from var(--pst-color-on-background, white) h s calc(l - 15))\n",
-              "  );\n",
-              "}\n",
-              "\n",
-              "html[theme=\"dark\"],\n",
-              "html[data-theme=\"dark\"],\n",
-              "body[data-theme=\"dark\"],\n",
-              "body.vscode-dark {\n",
-              "  --xr-font-color0: var(\n",
-              "    --jp-content-font-color0,\n",
-              "    var(--pst-color-text-base, rgba(255, 255, 255, 1))\n",
-              "  );\n",
-              "  --xr-font-color2: var(\n",
-              "    --jp-content-font-color2,\n",
-              "    var(--pst-color-text-base, rgba(255, 255, 255, 0.54))\n",
-              "  );\n",
-              "  --xr-font-color3: var(\n",
-              "    --jp-content-font-color3,\n",
-              "    var(--pst-color-text-base, rgba(255, 255, 255, 0.38))\n",
-              "  );\n",
-              "  --xr-border-color: var(\n",
-              "    --jp-border-color2,\n",
-              "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 10))\n",
-              "  );\n",
-              "  --xr-disabled-color: var(\n",
-              "    --jp-layout-color3,\n",
-              "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 40))\n",
-              "  );\n",
-              "  --xr-background-color: var(\n",
-              "    --jp-layout-color0,\n",
-              "    var(--pst-color-on-background, #111111)\n",
-              "  );\n",
-              "  --xr-background-color-row-even: var(\n",
-              "    --jp-layout-color1,\n",
-              "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 5))\n",
-              "  );\n",
-              "  --xr-background-color-row-odd: var(\n",
-              "    --jp-layout-color2,\n",
-              "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 15))\n",
-              "  );\n",
-              "}\n",
-              "\n",
-              ".xr-wrap {\n",
-              "  display: block !important;\n",
-              "  min-width: 300px;\n",
-              "  max-width: 700px;\n",
-              "  line-height: 1.6;\n",
-              "  padding-bottom: 4px;\n",
-              "}\n",
-              "\n",
-              ".xr-text-repr-fallback {\n",
-              "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
-              "  display: none;\n",
-              "}\n",
-              "\n",
-              ".xr-header {\n",
-              "  padding-top: 6px;\n",
-              "  padding-bottom: 6px;\n",
-              "}\n",
-              "\n",
-              ".xr-header {\n",
-              "  border-bottom: solid 1px var(--xr-border-color);\n",
-              "  margin-bottom: 4px;\n",
-              "}\n",
-              "\n",
-              ".xr-header > div,\n",
-              ".xr-header > ul {\n",
-              "  display: inline;\n",
-              "  margin-top: 0;\n",
-              "  margin-bottom: 0;\n",
-              "}\n",
-              "\n",
-              ".xr-obj-type,\n",
-              ".xr-obj-name {\n",
-              "  margin-left: 2px;\n",
-              "  margin-right: 10px;\n",
-              "}\n",
-              "\n",
-              ".xr-obj-type,\n",
-              ".xr-group-box-contents > label {\n",
-              "  color: var(--xr-font-color2);\n",
-              "  display: block;\n",
-              "}\n",
-              "\n",
-              ".xr-sections {\n",
-              "  padding-left: 0 !important;\n",
-              "  display: grid;\n",
-              "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
-              "  margin-block-start: 0;\n",
-              "  margin-block-end: 0;\n",
-              "}\n",
-              "\n",
-              ".xr-section-item {\n",
-              "  display: contents;\n",
-              "}\n",
-              "\n",
-              ".xr-section-item > input,\n",
-              ".xr-group-box-contents > input,\n",
-              ".xr-array-wrap > input {\n",
-              "  display: block;\n",
-              "  opacity: 0;\n",
-              "  height: 0;\n",
-              "  margin: 0;\n",
-              "}\n",
-              "\n",
-              ".xr-section-item > input + label,\n",
-              ".xr-var-item > input + label {\n",
-              "  color: var(--xr-disabled-color);\n",
-              "}\n",
-              "\n",
-              ".xr-section-item > input:enabled + label,\n",
-              ".xr-var-item > input:enabled + label,\n",
-              ".xr-array-wrap > input:enabled + label,\n",
-              ".xr-group-box-contents > input:enabled + label {\n",
-              "  cursor: pointer;\n",
-              "  color: var(--xr-font-color2);\n",
-              "}\n",
-              "\n",
-              ".xr-section-item > input:focus-visible + label,\n",
-              ".xr-var-item > input:focus-visible + label,\n",
-              ".xr-array-wrap > input:focus-visible + label,\n",
-              ".xr-group-box-contents > input:focus-visible + label {\n",
-              "  outline: auto;\n",
-              "}\n",
-              "\n",
-              ".xr-section-item > input:enabled + label:hover,\n",
-              ".xr-var-item > input:enabled + label:hover,\n",
-              ".xr-array-wrap > input:enabled + label:hover,\n",
-              ".xr-group-box-contents > input:enabled + label:hover {\n",
-              "  color: var(--xr-font-color0);\n",
-              "}\n",
-              "\n",
-              ".xr-section-summary {\n",
-              "  grid-column: 1;\n",
-              "  color: var(--xr-font-color2);\n",
-              "  font-weight: 500;\n",
-              "  white-space: nowrap;\n",
-              "}\n",
-              "\n",
-              ".xr-section-summary > em {\n",
-              "  font-weight: normal;\n",
-              "}\n",
-              "\n",
-              ".xr-span-grid {\n",
-              "  grid-column-end: -1;\n",
-              "}\n",
-              "\n",
-              ".xr-section-summary > span {\n",
-              "  display: inline-block;\n",
-              "  padding-left: 0.3em;\n",
-              "}\n",
-              "\n",
-              ".xr-group-box-contents > input:checked + label > span {\n",
-              "  display: inline-block;\n",
-              "  padding-left: 0.6em;\n",
-              "}\n",
-              "\n",
-              ".xr-section-summary-in:disabled + label {\n",
-              "  color: var(--xr-font-color2);\n",
-              "}\n",
-              "\n",
-              ".xr-section-summary-in + label:before {\n",
-              "  display: inline-block;\n",
-              "  content: \"►\";\n",
-              "  font-size: 11px;\n",
-              "  width: 15px;\n",
-              "  text-align: center;\n",
-              "}\n",
-              "\n",
-              ".xr-section-summary-in:disabled + label:before {\n",
-              "  color: var(--xr-disabled-color);\n",
-              "}\n",
-              "\n",
-              ".xr-section-summary-in:checked + label:before {\n",
-              "  content: \"▼\";\n",
-              "}\n",
-              "\n",
-              ".xr-section-summary-in:checked + label > span {\n",
-              "  display: none;\n",
-              "}\n",
-              "\n",
-              ".xr-section-summary,\n",
-              ".xr-section-inline-details,\n",
-              ".xr-group-box-contents > label {\n",
-              "  padding-top: 4px;\n",
-              "}\n",
-              "\n",
-              ".xr-section-inline-details {\n",
-              "  grid-column: 2 / -1;\n",
-              "}\n",
-              "\n",
-              ".xr-section-details {\n",
-              "  grid-column: 1 / -1;\n",
-              "  margin-top: 4px;\n",
-              "  margin-bottom: 5px;\n",
-              "}\n",
-              "\n",
-              ".xr-section-summary-in ~ .xr-section-details {\n",
-              "  display: none;\n",
-              "}\n",
-              "\n",
-              ".xr-section-summary-in:checked ~ .xr-section-details {\n",
-              "  display: contents;\n",
-              "}\n",
-              "\n",
-              ".xr-children {\n",
-              "  display: inline-grid;\n",
-              "  grid-template-columns: 100%;\n",
-              "  grid-column: 1 / -1;\n",
-              "  padding-top: 4px;\n",
-              "}\n",
-              "\n",
-              ".xr-group-box {\n",
-              "  display: inline-grid;\n",
-              "  grid-template-columns: 0px 30px auto;\n",
-              "}\n",
-              "\n",
-              ".xr-group-box-vline {\n",
-              "  grid-column-start: 1;\n",
-              "  border-right: 0.2em solid;\n",
-              "  border-color: var(--xr-border-color);\n",
-              "  width: 0px;\n",
-              "}\n",
-              "\n",
-              ".xr-group-box-hline {\n",
-              "  grid-column-start: 2;\n",
-              "  grid-row-start: 1;\n",
-              "  height: 1em;\n",
-              "  width: 26px;\n",
-              "  border-bottom: 0.2em solid;\n",
-              "  border-color: var(--xr-border-color);\n",
-              "}\n",
-              "\n",
-              ".xr-group-box-contents {\n",
-              "  grid-column-start: 3;\n",
-              "  padding-bottom: 4px;\n",
-              "}\n",
-              "\n",
-              ".xr-group-box-contents > label::before {\n",
-              "  content: \"📂\";\n",
-              "  padding-right: 0.3em;\n",
-              "}\n",
-              "\n",
-              ".xr-group-box-contents > input:checked + label::before {\n",
-              "  content: \"📁\";\n",
-              "}\n",
-              "\n",
-              ".xr-group-box-contents > input:checked + label {\n",
-              "  padding-bottom: 0px;\n",
-              "}\n",
-              "\n",
-              ".xr-group-box-contents > input:checked ~ .xr-sections {\n",
-              "  display: none;\n",
-              "}\n",
-              "\n",
-              ".xr-group-box-contents > input + label > span {\n",
-              "  display: none;\n",
-              "}\n",
-              "\n",
-              ".xr-group-box-ellipsis {\n",
-              "  font-size: 1.4em;\n",
-              "  font-weight: 900;\n",
-              "  color: var(--xr-font-color2);\n",
-              "  letter-spacing: 0.15em;\n",
-              "  cursor: default;\n",
-              "}\n",
-              "\n",
-              ".xr-array-wrap {\n",
-              "  grid-column: 1 / -1;\n",
-              "  display: grid;\n",
-              "  grid-template-columns: 20px auto;\n",
-              "}\n",
-              "\n",
-              ".xr-array-wrap > label {\n",
-              "  grid-column: 1;\n",
-              "  vertical-align: top;\n",
-              "}\n",
-              "\n",
-              ".xr-preview {\n",
-              "  color: var(--xr-font-color3);\n",
-              "}\n",
-              "\n",
-              ".xr-array-preview,\n",
-              ".xr-array-data {\n",
-              "  padding: 0 5px !important;\n",
-              "  grid-column: 2;\n",
-              "}\n",
-              "\n",
-              ".xr-array-data,\n",
-              ".xr-array-in:checked ~ .xr-array-preview {\n",
-              "  display: none;\n",
-              "}\n",
-              "\n",
-              ".xr-array-in:checked ~ .xr-array-data,\n",
-              ".xr-array-preview {\n",
-              "  display: inline-block;\n",
-              "}\n",
-              "\n",
-              ".xr-dim-list {\n",
-              "  display: inline-block !important;\n",
-              "  list-style: none;\n",
-              "  padding: 0 !important;\n",
-              "  margin: 0;\n",
-              "}\n",
-              "\n",
-              ".xr-dim-list li {\n",
-              "  display: inline-block;\n",
-              "  padding: 0;\n",
-              "  margin: 0;\n",
-              "}\n",
-              "\n",
-              ".xr-dim-list:before {\n",
-              "  content: \"(\";\n",
-              "}\n",
-              "\n",
-              ".xr-dim-list:after {\n",
-              "  content: \")\";\n",
-              "}\n",
-              "\n",
-              ".xr-dim-list li:not(:last-child):after {\n",
-              "  content: \",\";\n",
-              "  padding-right: 5px;\n",
-              "}\n",
-              "\n",
-              ".xr-has-index {\n",
-              "  font-weight: bold;\n",
-              "}\n",
-              "\n",
-              ".xr-var-list,\n",
-              ".xr-var-item {\n",
-              "  display: contents;\n",
-              "}\n",
-              "\n",
-              ".xr-var-item > div,\n",
-              ".xr-var-item label,\n",
-              ".xr-var-item > .xr-var-name span {\n",
-              "  background-color: var(--xr-background-color-row-even);\n",
-              "  border-color: var(--xr-background-color-row-odd);\n",
-              "  margin-bottom: 0;\n",
-              "  padding-top: 2px;\n",
-              "}\n",
-              "\n",
-              ".xr-var-item > .xr-var-name:hover span {\n",
-              "  padding-right: 5px;\n",
-              "}\n",
-              "\n",
-              ".xr-var-list > li:nth-child(odd) > div,\n",
-              ".xr-var-list > li:nth-child(odd) > label,\n",
-              ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
-              "  background-color: var(--xr-background-color-row-odd);\n",
-              "  border-color: var(--xr-background-color-row-even);\n",
-              "}\n",
-              "\n",
-              ".xr-var-name {\n",
-              "  grid-column: 1;\n",
-              "}\n",
-              "\n",
-              ".xr-var-dims {\n",
-              "  grid-column: 2;\n",
-              "}\n",
-              "\n",
-              ".xr-var-dtype {\n",
-              "  grid-column: 3;\n",
-              "  text-align: right;\n",
-              "  color: var(--xr-font-color2);\n",
-              "}\n",
-              "\n",
-              ".xr-var-preview {\n",
-              "  grid-column: 4;\n",
-              "}\n",
-              "\n",
-              ".xr-index-preview {\n",
-              "  grid-column: 2 / 5;\n",
-              "  color: var(--xr-font-color2);\n",
-              "}\n",
-              "\n",
-              ".xr-var-name,\n",
-              ".xr-var-dims,\n",
-              ".xr-var-dtype,\n",
-              ".xr-preview,\n",
-              ".xr-attrs dt {\n",
-              "  white-space: nowrap;\n",
-              "  overflow: hidden;\n",
-              "  text-overflow: ellipsis;\n",
-              "  padding-right: 10px;\n",
-              "}\n",
-              "\n",
-              ".xr-var-name:hover,\n",
-              ".xr-var-dims:hover,\n",
-              ".xr-var-dtype:hover,\n",
-              ".xr-attrs dt:hover {\n",
-              "  overflow: visible;\n",
-              "  width: auto;\n",
-              "  z-index: 1;\n",
-              "}\n",
-              "\n",
-              ".xr-var-attrs,\n",
-              ".xr-var-data,\n",
-              ".xr-index-data {\n",
-              "  display: none;\n",
-              "  border-top: 2px dotted var(--xr-background-color);\n",
-              "  padding-bottom: 20px !important;\n",
-              "  padding-top: 10px !important;\n",
-              "}\n",
-              "\n",
-              ".xr-var-attrs-in + label,\n",
-              ".xr-var-data-in + label,\n",
-              ".xr-index-data-in + label {\n",
-              "  padding: 0 1px;\n",
-              "}\n",
-              "\n",
-              ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
-              ".xr-var-data-in:checked ~ .xr-var-data,\n",
-              ".xr-index-data-in:checked ~ .xr-index-data {\n",
-              "  display: block;\n",
-              "}\n",
-              "\n",
-              ".xr-var-data > table {\n",
-              "  float: right;\n",
-              "}\n",
-              "\n",
-              ".xr-var-data > pre,\n",
-              ".xr-index-data > pre,\n",
-              ".xr-var-data > table > tbody > tr {\n",
-              "  background-color: transparent !important;\n",
-              "}\n",
-              "\n",
-              ".xr-var-name span,\n",
-              ".xr-var-data,\n",
-              ".xr-index-name div,\n",
-              ".xr-index-data,\n",
-              ".xr-attrs {\n",
-              "  padding-left: 25px !important;\n",
-              "}\n",
-              "\n",
-              ".xr-attrs,\n",
-              ".xr-var-attrs,\n",
-              ".xr-var-data,\n",
-              ".xr-index-data {\n",
-              "  grid-column: 1 / -1;\n",
-              "}\n",
-              "\n",
-              "dl.xr-attrs {\n",
-              "  padding: 0;\n",
-              "  margin: 0;\n",
-              "  display: grid;\n",
-              "  grid-template-columns: 125px auto;\n",
-              "}\n",
-              "\n",
-              ".xr-attrs dt,\n",
-              ".xr-attrs dd {\n",
-              "  padding: 0;\n",
-              "  margin: 0;\n",
-              "  float: left;\n",
-              "  padding-right: 10px;\n",
-              "  width: auto;\n",
-              "}\n",
-              "\n",
-              ".xr-attrs dt {\n",
-              "  font-weight: normal;\n",
-              "  grid-column: 1;\n",
-              "}\n",
-              "\n",
-              ".xr-attrs dt:hover span {\n",
-              "  display: inline-block;\n",
-              "  background: var(--xr-background-color);\n",
-              "  padding-right: 10px;\n",
-              "}\n",
-              "\n",
-              ".xr-attrs dd {\n",
-              "  grid-column: 2;\n",
-              "  white-space: pre-wrap;\n",
-              "  word-break: break-all;\n",
-              "}\n",
-              "\n",
-              ".xr-icon-database,\n",
-              ".xr-icon-file-text2,\n",
-              ".xr-no-icon {\n",
-              "  display: inline-block;\n",
-              "  vertical-align: middle;\n",
-              "  width: 1em;\n",
-              "  height: 1.5em !important;\n",
-              "  stroke-width: 0;\n",
-              "  stroke: currentColor;\n",
-              "  fill: currentColor;\n",
-              "}\n",
-              "\n",
-              ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
-              ".xr-var-data-in:checked + label > .xr-icon-database,\n",
-              ".xr-index-data-in:checked + label > .xr-icon-database {\n",
-              "  color: var(--xr-font-color0);\n",
-              "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
-              "  stroke-width: 0.8px;\n",
-              "}\n",
-              "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 124kB\n",
-              "Dimensions:        (chain: 1, draw: 500, obs_ind: 30, treated_units: 1)\n",
-              "Coordinates:\n",
-              "  * chain          (chain) int64 8B 0\n",
-              "  * draw           (draw) int64 4kB 0 1 2 3 4 5 6 ... 494 495 496 497 498 499\n",
-              "  * obs_ind        (obs_ind) int64 240B 0 1 2 3 4 5 6 7 ... 23 24 25 26 27 28 29\n",
-              "  * treated_units  (treated_units) &lt;U2 8B &#x27;UK&#x27;\n",
-              "Data variables:\n",
-              "    y_hat          (chain, draw, obs_ind, treated_units) float64 120kB 4.462 ...\n",
-              "Attributes:\n",
-              "    created_at:                 2026-02-28T22:18:03.120626+00:00\n",
-              "    arviz_version:              0.23.4\n",
-              "    inference_library:          pymc\n",
-              "    inference_library_version:  5.27.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-f9d3d695-dc3d-4853-a9f1-bc59b09da91f' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-f9d3d695-dc3d-4853-a9f1-bc59b09da91f' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>chain</span>: 1</li><li><span class='xr-has-index'>draw</span>: 500</li><li><span class='xr-has-index'>obs_ind</span>: 30</li><li><span class='xr-has-index'>treated_units</span>: 1</li></ul></div></li><li class='xr-section-item'><input id='section-2c65bb48-3e49-4a9c-a04a-c4c54b6757e3' class='xr-section-summary-in' type='checkbox' checked /><label for='section-2c65bb48-3e49-4a9c-a04a-c4c54b6757e3' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>chain</span></div><div class='xr-var-dims'>(chain)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-ac62d5cd-085f-48c1-89ab-e00cc66b3863' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ac62d5cd-085f-48c1-89ab-e00cc66b3863' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-98542073-171b-4af4-a1a1-905494caaef7' class='xr-var-data-in' type='checkbox'><label for='data-98542073-171b-4af4-a1a1-905494caaef7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>draw</span></div><div class='xr-var-dims'>(draw)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 495 496 497 498 499</div><input id='attrs-830d6596-191d-4c9b-b90f-543b9e36a8db' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-830d6596-191d-4c9b-b90f-543b9e36a8db' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-baeae223-03bc-4724-b82c-2885659bdf07' class='xr-var-data-in' type='checkbox'><label for='data-baeae223-03bc-4724-b82c-2885659bdf07' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([  0,   1,   2, ..., 497, 498, 499], shape=(500,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>obs_ind</span></div><div class='xr-var-dims'>(obs_ind)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 24 25 26 27 28 29</div><input id='attrs-c95f2cc0-6cf1-49eb-abeb-51ddece5171c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c95f2cc0-6cf1-49eb-abeb-51ddece5171c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d1c32050-c15b-43b2-b08f-a654cb6715fa' class='xr-var-data-in' type='checkbox'><label for='data-d1c32050-c15b-43b2-b08f-a654cb6715fa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
-              "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>treated_units</span></div><div class='xr-var-dims'>(treated_units)</div><div class='xr-var-dtype'>&lt;U2</div><div class='xr-var-preview xr-preview'>&#x27;UK&#x27;</div><input id='attrs-08afbf1a-5c85-408f-808e-902d8d98b6cc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-08afbf1a-5c85-408f-808e-902d8d98b6cc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aa33231d-3882-478c-b485-bde180d84236' class='xr-var-data-in' type='checkbox'><label for='data-aa33231d-3882-478c-b485-bde180d84236' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;UK&#x27;], dtype=&#x27;&lt;U2&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ae3f2484-4ea8-4d43-adc7-42be27b2623d' class='xr-section-summary-in' type='checkbox' checked /><label for='section-ae3f2484-4ea8-4d43-adc7-42be27b2623d' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>y_hat</span></div><div class='xr-var-dims'>(chain, draw, obs_ind, treated_units)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.462 5.722 5.451 ... 3.226 3.324</div><input id='attrs-c09645a9-91eb-4d23-a75e-8ec6a10adf55' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c09645a9-91eb-4d23-a75e-8ec6a10adf55' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3151f202-f964-4388-9c81-800520a74792' class='xr-var-data-in' type='checkbox'><label for='data-3151f202-f964-4388-9c81-800520a74792' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[[4.46182239],\n",
-              "         [5.72168265],\n",
-              "         [5.45105593],\n",
-              "         ...,\n",
-              "         [5.83716909],\n",
-              "         [6.76199343],\n",
-              "         [5.75655323]],\n",
-              "\n",
-              "        [[3.88933751],\n",
-              "         [4.59197992],\n",
-              "         [1.84511631],\n",
-              "         ...,\n",
-              "         [3.77986182],\n",
-              "         [3.21358425],\n",
-              "         [2.98553998]],\n",
-              "\n",
-              "        [[3.8673284 ],\n",
-              "         [3.845625  ],\n",
-              "         [3.88582136],\n",
-              "         ...,\n",
-              "...\n",
-              "         ...,\n",
-              "         [3.68955703],\n",
-              "         [3.87463557],\n",
-              "         [4.76535121]],\n",
-              "\n",
-              "        [[4.40677792],\n",
-              "         [3.77821256],\n",
-              "         [3.30559875],\n",
-              "         ...,\n",
-              "         [3.22961889],\n",
-              "         [5.34132578],\n",
-              "         [4.40986427]],\n",
-              "\n",
-              "        [[2.19322055],\n",
-              "         [3.1153102 ],\n",
-              "         [1.1778076 ],\n",
-              "         ...,\n",
-              "         [5.55747362],\n",
-              "         [3.22613677],\n",
-              "         [3.32363163]]]], shape=(1, 500, 30, 1))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d4212583-c6f7-479d-bf30-2b1e7015e892' class='xr-section-summary-in' type='checkbox' checked /><label for='section-d4212583-c6f7-479d-bf30-2b1e7015e892' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>created_at :</span></dt><dd>2026-02-28T22:18:03.120626+00:00</dd><dt><span>arviz_version :</span></dt><dd>0.23.4</dd><dt><span>inference_library :</span></dt><dd>pymc</dd><dt><span>inference_library_version :</span></dt><dd>5.27.1</dd></dl></div></li></ul></div></div><br></div>\n",
-              "                      </ul>\n",
-              "                  </div>\n",
-              "            </li>\n",
-              "            \n",
-              "            <li class = \"xr-section-item\">\n",
-              "                  <input id=\"idata_observed_data854e0acf-4adf-416d-aab3-108b30abac1b\" class=\"xr-section-summary-in\" type=\"checkbox\">\n",
-              "                  <label for=\"idata_observed_data854e0acf-4adf-416d-aab3-108b30abac1b\" class = \"xr-section-summary\">observed_data</label>\n",
-              "                  <div class=\"xr-section-inline-details\"></div>\n",
-              "                  <div class=\"xr-section-details\">\n",
-              "                      <ul id=\"xr-dataset-coord-list\" class=\"xr-var-list\">\n",
-              "                          <div style=\"padding-left:2rem;\"><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
-              "<defs>\n",
-              "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
-              "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
-              "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
-              "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
-              "</symbol>\n",
-              "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
-              "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
-              "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
-              "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
-              "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
-              "</symbol>\n",
-              "</defs>\n",
-              "</svg>\n",
-              "<style>/* CSS stylesheet for displaying xarray objects in notebooks */\n",
-              "\n",
-              ":root {\n",
-              "  --xr-font-color0: var(\n",
-              "    --jp-content-font-color0,\n",
-              "    var(--pst-color-text-base rgba(0, 0, 0, 1))\n",
-              "  );\n",
-              "  --xr-font-color2: var(\n",
-              "    --jp-content-font-color2,\n",
-              "    var(--pst-color-text-base, rgba(0, 0, 0, 0.54))\n",
-              "  );\n",
-              "  --xr-font-color3: var(\n",
-              "    --jp-content-font-color3,\n",
-              "    var(--pst-color-text-base, rgba(0, 0, 0, 0.38))\n",
-              "  );\n",
-              "  --xr-border-color: var(\n",
-              "    --jp-border-color2,\n",
-              "    hsl(from var(--pst-color-on-background, white) h s calc(l - 10))\n",
-              "  );\n",
-              "  --xr-disabled-color: var(\n",
-              "    --jp-layout-color3,\n",
-              "    hsl(from var(--pst-color-on-background, white) h s calc(l - 40))\n",
-              "  );\n",
-              "  --xr-background-color: var(\n",
-              "    --jp-layout-color0,\n",
-              "    var(--pst-color-on-background, white)\n",
-              "  );\n",
-              "  --xr-background-color-row-even: var(\n",
-              "    --jp-layout-color1,\n",
-              "    hsl(from var(--pst-color-on-background, white) h s calc(l - 5))\n",
-              "  );\n",
-              "  --xr-background-color-row-odd: var(\n",
-              "    --jp-layout-color2,\n",
-              "    hsl(from var(--pst-color-on-background, white) h s calc(l - 15))\n",
-              "  );\n",
-              "}\n",
-              "\n",
-              "html[theme=\"dark\"],\n",
-              "html[data-theme=\"dark\"],\n",
-              "body[data-theme=\"dark\"],\n",
-              "body.vscode-dark {\n",
-              "  --xr-font-color0: var(\n",
-              "    --jp-content-font-color0,\n",
-              "    var(--pst-color-text-base, rgba(255, 255, 255, 1))\n",
-              "  );\n",
-              "  --xr-font-color2: var(\n",
-              "    --jp-content-font-color2,\n",
-              "    var(--pst-color-text-base, rgba(255, 255, 255, 0.54))\n",
-              "  );\n",
-              "  --xr-font-color3: var(\n",
-              "    --jp-content-font-color3,\n",
-              "    var(--pst-color-text-base, rgba(255, 255, 255, 0.38))\n",
-              "  );\n",
-              "  --xr-border-color: var(\n",
-              "    --jp-border-color2,\n",
-              "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 10))\n",
-              "  );\n",
-              "  --xr-disabled-color: var(\n",
-              "    --jp-layout-color3,\n",
-              "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 40))\n",
-              "  );\n",
-              "  --xr-background-color: var(\n",
-              "    --jp-layout-color0,\n",
-              "    var(--pst-color-on-background, #111111)\n",
-              "  );\n",
-              "  --xr-background-color-row-even: var(\n",
-              "    --jp-layout-color1,\n",
-              "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 5))\n",
-              "  );\n",
-              "  --xr-background-color-row-odd: var(\n",
-              "    --jp-layout-color2,\n",
-              "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 15))\n",
-              "  );\n",
-              "}\n",
-              "\n",
-              ".xr-wrap {\n",
-              "  display: block !important;\n",
-              "  min-width: 300px;\n",
-              "  max-width: 700px;\n",
-              "  line-height: 1.6;\n",
-              "  padding-bottom: 4px;\n",
-              "}\n",
-              "\n",
-              ".xr-text-repr-fallback {\n",
-              "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
-              "  display: none;\n",
-              "}\n",
-              "\n",
-              ".xr-header {\n",
-              "  padding-top: 6px;\n",
-              "  padding-bottom: 6px;\n",
-              "}\n",
-              "\n",
-              ".xr-header {\n",
-              "  border-bottom: solid 1px var(--xr-border-color);\n",
-              "  margin-bottom: 4px;\n",
-              "}\n",
-              "\n",
-              ".xr-header > div,\n",
-              ".xr-header > ul {\n",
-              "  display: inline;\n",
-              "  margin-top: 0;\n",
-              "  margin-bottom: 0;\n",
-              "}\n",
-              "\n",
-              ".xr-obj-type,\n",
-              ".xr-obj-name {\n",
-              "  margin-left: 2px;\n",
-              "  margin-right: 10px;\n",
-              "}\n",
-              "\n",
-              ".xr-obj-type,\n",
-              ".xr-group-box-contents > label {\n",
-              "  color: var(--xr-font-color2);\n",
-              "  display: block;\n",
-              "}\n",
-              "\n",
-              ".xr-sections {\n",
-              "  padding-left: 0 !important;\n",
-              "  display: grid;\n",
-              "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
-              "  margin-block-start: 0;\n",
-              "  margin-block-end: 0;\n",
-              "}\n",
-              "\n",
-              ".xr-section-item {\n",
-              "  display: contents;\n",
-              "}\n",
-              "\n",
-              ".xr-section-item > input,\n",
-              ".xr-group-box-contents > input,\n",
-              ".xr-array-wrap > input {\n",
-              "  display: block;\n",
-              "  opacity: 0;\n",
-              "  height: 0;\n",
-              "  margin: 0;\n",
-              "}\n",
-              "\n",
-              ".xr-section-item > input + label,\n",
-              ".xr-var-item > input + label {\n",
-              "  color: var(--xr-disabled-color);\n",
-              "}\n",
-              "\n",
-              ".xr-section-item > input:enabled + label,\n",
-              ".xr-var-item > input:enabled + label,\n",
-              ".xr-array-wrap > input:enabled + label,\n",
-              ".xr-group-box-contents > input:enabled + label {\n",
-              "  cursor: pointer;\n",
-              "  color: var(--xr-font-color2);\n",
-              "}\n",
-              "\n",
-              ".xr-section-item > input:focus-visible + label,\n",
-              ".xr-var-item > input:focus-visible + label,\n",
-              ".xr-array-wrap > input:focus-visible + label,\n",
-              ".xr-group-box-contents > input:focus-visible + label {\n",
-              "  outline: auto;\n",
-              "}\n",
-              "\n",
-              ".xr-section-item > input:enabled + label:hover,\n",
-              ".xr-var-item > input:enabled + label:hover,\n",
-              ".xr-array-wrap > input:enabled + label:hover,\n",
-              ".xr-group-box-contents > input:enabled + label:hover {\n",
-              "  color: var(--xr-font-color0);\n",
-              "}\n",
-              "\n",
-              ".xr-section-summary {\n",
-              "  grid-column: 1;\n",
-              "  color: var(--xr-font-color2);\n",
-              "  font-weight: 500;\n",
-              "  white-space: nowrap;\n",
-              "}\n",
-              "\n",
-              ".xr-section-summary > em {\n",
-              "  font-weight: normal;\n",
-              "}\n",
-              "\n",
-              ".xr-span-grid {\n",
-              "  grid-column-end: -1;\n",
-              "}\n",
-              "\n",
-              ".xr-section-summary > span {\n",
-              "  display: inline-block;\n",
-              "  padding-left: 0.3em;\n",
-              "}\n",
-              "\n",
-              ".xr-group-box-contents > input:checked + label > span {\n",
-              "  display: inline-block;\n",
-              "  padding-left: 0.6em;\n",
-              "}\n",
-              "\n",
-              ".xr-section-summary-in:disabled + label {\n",
-              "  color: var(--xr-font-color2);\n",
-              "}\n",
-              "\n",
-              ".xr-section-summary-in + label:before {\n",
-              "  display: inline-block;\n",
-              "  content: \"►\";\n",
-              "  font-size: 11px;\n",
-              "  width: 15px;\n",
-              "  text-align: center;\n",
-              "}\n",
-              "\n",
-              ".xr-section-summary-in:disabled + label:before {\n",
-              "  color: var(--xr-disabled-color);\n",
-              "}\n",
-              "\n",
-              ".xr-section-summary-in:checked + label:before {\n",
-              "  content: \"▼\";\n",
-              "}\n",
-              "\n",
-              ".xr-section-summary-in:checked + label > span {\n",
-              "  display: none;\n",
-              "}\n",
-              "\n",
-              ".xr-section-summary,\n",
-              ".xr-section-inline-details,\n",
-              ".xr-group-box-contents > label {\n",
-              "  padding-top: 4px;\n",
-              "}\n",
-              "\n",
-              ".xr-section-inline-details {\n",
-              "  grid-column: 2 / -1;\n",
-              "}\n",
-              "\n",
-              ".xr-section-details {\n",
-              "  grid-column: 1 / -1;\n",
-              "  margin-top: 4px;\n",
-              "  margin-bottom: 5px;\n",
-              "}\n",
-              "\n",
-              ".xr-section-summary-in ~ .xr-section-details {\n",
-              "  display: none;\n",
-              "}\n",
-              "\n",
-              ".xr-section-summary-in:checked ~ .xr-section-details {\n",
-              "  display: contents;\n",
-              "}\n",
-              "\n",
-              ".xr-children {\n",
-              "  display: inline-grid;\n",
-              "  grid-template-columns: 100%;\n",
-              "  grid-column: 1 / -1;\n",
-              "  padding-top: 4px;\n",
-              "}\n",
-              "\n",
-              ".xr-group-box {\n",
-              "  display: inline-grid;\n",
-              "  grid-template-columns: 0px 30px auto;\n",
-              "}\n",
-              "\n",
-              ".xr-group-box-vline {\n",
-              "  grid-column-start: 1;\n",
-              "  border-right: 0.2em solid;\n",
-              "  border-color: var(--xr-border-color);\n",
-              "  width: 0px;\n",
-              "}\n",
-              "\n",
-              ".xr-group-box-hline {\n",
-              "  grid-column-start: 2;\n",
-              "  grid-row-start: 1;\n",
-              "  height: 1em;\n",
-              "  width: 26px;\n",
-              "  border-bottom: 0.2em solid;\n",
-              "  border-color: var(--xr-border-color);\n",
-              "}\n",
-              "\n",
-              ".xr-group-box-contents {\n",
-              "  grid-column-start: 3;\n",
-              "  padding-bottom: 4px;\n",
-              "}\n",
-              "\n",
-              ".xr-group-box-contents > label::before {\n",
-              "  content: \"📂\";\n",
-              "  padding-right: 0.3em;\n",
-              "}\n",
-              "\n",
-              ".xr-group-box-contents > input:checked + label::before {\n",
-              "  content: \"📁\";\n",
-              "}\n",
-              "\n",
-              ".xr-group-box-contents > input:checked + label {\n",
-              "  padding-bottom: 0px;\n",
-              "}\n",
-              "\n",
-              ".xr-group-box-contents > input:checked ~ .xr-sections {\n",
-              "  display: none;\n",
-              "}\n",
-              "\n",
-              ".xr-group-box-contents > input + label > span {\n",
-              "  display: none;\n",
-              "}\n",
-              "\n",
-              ".xr-group-box-ellipsis {\n",
-              "  font-size: 1.4em;\n",
-              "  font-weight: 900;\n",
-              "  color: var(--xr-font-color2);\n",
-              "  letter-spacing: 0.15em;\n",
-              "  cursor: default;\n",
-              "}\n",
-              "\n",
-              ".xr-array-wrap {\n",
-              "  grid-column: 1 / -1;\n",
-              "  display: grid;\n",
-              "  grid-template-columns: 20px auto;\n",
-              "}\n",
-              "\n",
-              ".xr-array-wrap > label {\n",
-              "  grid-column: 1;\n",
-              "  vertical-align: top;\n",
-              "}\n",
-              "\n",
-              ".xr-preview {\n",
-              "  color: var(--xr-font-color3);\n",
-              "}\n",
-              "\n",
-              ".xr-array-preview,\n",
-              ".xr-array-data {\n",
-              "  padding: 0 5px !important;\n",
-              "  grid-column: 2;\n",
-              "}\n",
-              "\n",
-              ".xr-array-data,\n",
-              ".xr-array-in:checked ~ .xr-array-preview {\n",
-              "  display: none;\n",
-              "}\n",
-              "\n",
-              ".xr-array-in:checked ~ .xr-array-data,\n",
-              ".xr-array-preview {\n",
-              "  display: inline-block;\n",
-              "}\n",
-              "\n",
-              ".xr-dim-list {\n",
-              "  display: inline-block !important;\n",
-              "  list-style: none;\n",
-              "  padding: 0 !important;\n",
-              "  margin: 0;\n",
-              "}\n",
-              "\n",
-              ".xr-dim-list li {\n",
-              "  display: inline-block;\n",
-              "  padding: 0;\n",
-              "  margin: 0;\n",
-              "}\n",
-              "\n",
-              ".xr-dim-list:before {\n",
-              "  content: \"(\";\n",
-              "}\n",
-              "\n",
-              ".xr-dim-list:after {\n",
-              "  content: \")\";\n",
-              "}\n",
-              "\n",
-              ".xr-dim-list li:not(:last-child):after {\n",
-              "  content: \",\";\n",
-              "  padding-right: 5px;\n",
-              "}\n",
-              "\n",
-              ".xr-has-index {\n",
-              "  font-weight: bold;\n",
-              "}\n",
-              "\n",
-              ".xr-var-list,\n",
-              ".xr-var-item {\n",
-              "  display: contents;\n",
-              "}\n",
-              "\n",
-              ".xr-var-item > div,\n",
-              ".xr-var-item label,\n",
-              ".xr-var-item > .xr-var-name span {\n",
-              "  background-color: var(--xr-background-color-row-even);\n",
-              "  border-color: var(--xr-background-color-row-odd);\n",
-              "  margin-bottom: 0;\n",
-              "  padding-top: 2px;\n",
-              "}\n",
-              "\n",
-              ".xr-var-item > .xr-var-name:hover span {\n",
-              "  padding-right: 5px;\n",
-              "}\n",
-              "\n",
-              ".xr-var-list > li:nth-child(odd) > div,\n",
-              ".xr-var-list > li:nth-child(odd) > label,\n",
-              ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
-              "  background-color: var(--xr-background-color-row-odd);\n",
-              "  border-color: var(--xr-background-color-row-even);\n",
-              "}\n",
-              "\n",
-              ".xr-var-name {\n",
-              "  grid-column: 1;\n",
-              "}\n",
-              "\n",
-              ".xr-var-dims {\n",
-              "  grid-column: 2;\n",
-              "}\n",
-              "\n",
-              ".xr-var-dtype {\n",
-              "  grid-column: 3;\n",
-              "  text-align: right;\n",
-              "  color: var(--xr-font-color2);\n",
-              "}\n",
-              "\n",
-              ".xr-var-preview {\n",
-              "  grid-column: 4;\n",
-              "}\n",
-              "\n",
-              ".xr-index-preview {\n",
-              "  grid-column: 2 / 5;\n",
-              "  color: var(--xr-font-color2);\n",
-              "}\n",
-              "\n",
-              ".xr-var-name,\n",
-              ".xr-var-dims,\n",
-              ".xr-var-dtype,\n",
-              ".xr-preview,\n",
-              ".xr-attrs dt {\n",
-              "  white-space: nowrap;\n",
-              "  overflow: hidden;\n",
-              "  text-overflow: ellipsis;\n",
-              "  padding-right: 10px;\n",
-              "}\n",
-              "\n",
-              ".xr-var-name:hover,\n",
-              ".xr-var-dims:hover,\n",
-              ".xr-var-dtype:hover,\n",
-              ".xr-attrs dt:hover {\n",
-              "  overflow: visible;\n",
-              "  width: auto;\n",
-              "  z-index: 1;\n",
-              "}\n",
-              "\n",
-              ".xr-var-attrs,\n",
-              ".xr-var-data,\n",
-              ".xr-index-data {\n",
-              "  display: none;\n",
-              "  border-top: 2px dotted var(--xr-background-color);\n",
-              "  padding-bottom: 20px !important;\n",
-              "  padding-top: 10px !important;\n",
-              "}\n",
-              "\n",
-              ".xr-var-attrs-in + label,\n",
-              ".xr-var-data-in + label,\n",
-              ".xr-index-data-in + label {\n",
-              "  padding: 0 1px;\n",
-              "}\n",
-              "\n",
-              ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
-              ".xr-var-data-in:checked ~ .xr-var-data,\n",
-              ".xr-index-data-in:checked ~ .xr-index-data {\n",
-              "  display: block;\n",
-              "}\n",
-              "\n",
-              ".xr-var-data > table {\n",
-              "  float: right;\n",
-              "}\n",
-              "\n",
-              ".xr-var-data > pre,\n",
-              ".xr-index-data > pre,\n",
-              ".xr-var-data > table > tbody > tr {\n",
-              "  background-color: transparent !important;\n",
-              "}\n",
-              "\n",
-              ".xr-var-name span,\n",
-              ".xr-var-data,\n",
-              ".xr-index-name div,\n",
-              ".xr-index-data,\n",
-              ".xr-attrs {\n",
-              "  padding-left: 25px !important;\n",
-              "}\n",
-              "\n",
-              ".xr-attrs,\n",
-              ".xr-var-attrs,\n",
-              ".xr-var-data,\n",
-              ".xr-index-data {\n",
-              "  grid-column: 1 / -1;\n",
-              "}\n",
-              "\n",
-              "dl.xr-attrs {\n",
-              "  padding: 0;\n",
-              "  margin: 0;\n",
-              "  display: grid;\n",
-              "  grid-template-columns: 125px auto;\n",
-              "}\n",
-              "\n",
-              ".xr-attrs dt,\n",
-              ".xr-attrs dd {\n",
-              "  padding: 0;\n",
-              "  margin: 0;\n",
-              "  float: left;\n",
-              "  padding-right: 10px;\n",
-              "  width: auto;\n",
-              "}\n",
-              "\n",
-              ".xr-attrs dt {\n",
-              "  font-weight: normal;\n",
-              "  grid-column: 1;\n",
-              "}\n",
-              "\n",
-              ".xr-attrs dt:hover span {\n",
-              "  display: inline-block;\n",
-              "  background: var(--xr-background-color);\n",
-              "  padding-right: 10px;\n",
-              "}\n",
-              "\n",
-              ".xr-attrs dd {\n",
-              "  grid-column: 2;\n",
-              "  white-space: pre-wrap;\n",
-              "  word-break: break-all;\n",
-              "}\n",
-              "\n",
-              ".xr-icon-database,\n",
-              ".xr-icon-file-text2,\n",
-              ".xr-no-icon {\n",
-              "  display: inline-block;\n",
-              "  vertical-align: middle;\n",
-              "  width: 1em;\n",
-              "  height: 1.5em !important;\n",
-              "  stroke-width: 0;\n",
-              "  stroke: currentColor;\n",
-              "  fill: currentColor;\n",
-              "}\n",
-              "\n",
-              ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
-              ".xr-var-data-in:checked + label > .xr-icon-database,\n",
-              ".xr-index-data-in:checked + label > .xr-icon-database {\n",
-              "  color: var(--xr-font-color0);\n",
-              "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
-              "  stroke-width: 0.8px;\n",
-              "}\n",
-              "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 488B\n",
-              "Dimensions:        (obs_ind: 30, treated_units: 1)\n",
-              "Coordinates:\n",
-              "  * obs_ind        (obs_ind) int64 240B 0 1 2 3 4 5 6 7 ... 23 24 25 26 27 28 29\n",
-              "  * treated_units  (treated_units) &lt;U2 8B &#x27;UK&#x27;\n",
-              "Data variables:\n",
-              "    y_hat          (obs_ind, treated_units) float64 240B 4.619 4.604 ... 5.327\n",
-              "Attributes:\n",
-              "    created_at:                 2026-02-28T22:18:02.963187+00:00\n",
-              "    arviz_version:              0.23.4\n",
-              "    inference_library:          pymc\n",
-              "    inference_library_version:  5.27.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-37398c95-1828-44d4-9c66-cdbeb03dbc89' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-37398c95-1828-44d4-9c66-cdbeb03dbc89' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>obs_ind</span>: 30</li><li><span class='xr-has-index'>treated_units</span>: 1</li></ul></div></li><li class='xr-section-item'><input id='section-87787b74-56b2-4e22-98df-74cd4d5ce55f' class='xr-section-summary-in' type='checkbox' checked /><label for='section-87787b74-56b2-4e22-98df-74cd4d5ce55f' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>obs_ind</span></div><div class='xr-var-dims'>(obs_ind)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 24 25 26 27 28 29</div><input id='attrs-5506d1d4-eb71-4a60-897f-6db1af70292b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5506d1d4-eb71-4a60-897f-6db1af70292b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b465b3cf-82f6-4263-8c4a-51ea6085b45a' class='xr-var-data-in' type='checkbox'><label for='data-b465b3cf-82f6-4263-8c4a-51ea6085b45a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
-              "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>treated_units</span></div><div class='xr-var-dims'>(treated_units)</div><div class='xr-var-dtype'>&lt;U2</div><div class='xr-var-preview xr-preview'>&#x27;UK&#x27;</div><input id='attrs-e7cbcd55-1f77-4d1b-9094-2c7555e5c9c0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e7cbcd55-1f77-4d1b-9094-2c7555e5c9c0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-51f7b0ee-acd5-4cbc-9231-7beca57a124b' class='xr-var-data-in' type='checkbox'><label for='data-51f7b0ee-acd5-4cbc-9231-7beca57a124b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;UK&#x27;], dtype=&#x27;&lt;U2&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f70b69e3-2f87-468e-a443-0d101a3dfc51' class='xr-section-summary-in' type='checkbox' checked /><label for='section-f70b69e3-2f87-468e-a443-0d101a3dfc51' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>y_hat</span></div><div class='xr-var-dims'>(obs_ind, treated_units)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.619 4.604 4.607 ... 5.297 5.327</div><input id='attrs-6e70ede9-ae01-478a-be0f-b3cd3b032c52' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6e70ede9-ae01-478a-be0f-b3cd3b032c52' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-96dce136-d54f-4f34-bb3a-6c92e9f138d8' class='xr-var-data-in' type='checkbox'><label for='data-96dce136-d54f-4f34-bb3a-6c92e9f138d8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[4.61881],\n",
-              "       [4.60431],\n",
-              "       [4.60722],\n",
-              "       [4.62152],\n",
-              "       [4.6538 ],\n",
-              "       [4.70655],\n",
-              "       [4.73954],\n",
-              "       [4.74526],\n",
-              "       [4.7672 ],\n",
-              "       [4.77202],\n",
-              "       [4.78726],\n",
-              "       [4.79335],\n",
-              "       [4.82583],\n",
-              "       [4.82299],\n",
-              "       [4.88205],\n",
-              "       [4.87   ],\n",
-              "       [4.89236],\n",
-              "       [4.92451],\n",
-              "       [4.96229],\n",
-              "       [4.98839],\n",
-              "       [5.03492],\n",
-              "       [5.07551],\n",
-              "       [5.10988],\n",
-              "       [5.13852],\n",
-              "       [5.17165],\n",
-              "       [5.20984],\n",
-              "       [5.23783],\n",
-              "       [5.27344],\n",
-              "       [5.29673],\n",
-              "       [5.32731]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f4a8e809-32b1-40b1-9742-9c3d5ff0b8b6' class='xr-section-summary-in' type='checkbox' checked /><label for='section-f4a8e809-32b1-40b1-9742-9c3d5ff0b8b6' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>created_at :</span></dt><dd>2026-02-28T22:18:02.963187+00:00</dd><dt><span>arviz_version :</span></dt><dd>0.23.4</dd><dt><span>inference_library :</span></dt><dd>pymc</dd><dt><span>inference_library_version :</span></dt><dd>5.27.1</dd></dl></div></li></ul></div></div><br></div>\n",
-              "                      </ul>\n",
-              "                  </div>\n",
-              "            </li>\n",
-              "            \n",
-              "            <li class = \"xr-section-item\">\n",
-              "                  <input id=\"idata_constant_data68d8af70-5fd5-4857-a921-2ebf95117e58\" class=\"xr-section-summary-in\" type=\"checkbox\">\n",
-              "                  <label for=\"idata_constant_data68d8af70-5fd5-4857-a921-2ebf95117e58\" class = \"xr-section-summary\">constant_data</label>\n",
-              "                  <div class=\"xr-section-inline-details\"></div>\n",
-              "                  <div class=\"xr-section-details\">\n",
-              "                      <ul id=\"xr-dataset-coord-list\" class=\"xr-var-list\">\n",
-              "                          <div style=\"padding-left:2rem;\"><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
-              "<defs>\n",
-              "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
-              "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
-              "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
-              "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
-              "</symbol>\n",
-              "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
-              "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
-              "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
-              "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
-              "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
-              "</symbol>\n",
-              "</defs>\n",
-              "</svg>\n",
-              "<style>/* CSS stylesheet for displaying xarray objects in notebooks */\n",
-              "\n",
-              ":root {\n",
-              "  --xr-font-color0: var(\n",
-              "    --jp-content-font-color0,\n",
-              "    var(--pst-color-text-base rgba(0, 0, 0, 1))\n",
-              "  );\n",
-              "  --xr-font-color2: var(\n",
-              "    --jp-content-font-color2,\n",
-              "    var(--pst-color-text-base, rgba(0, 0, 0, 0.54))\n",
-              "  );\n",
-              "  --xr-font-color3: var(\n",
-              "    --jp-content-font-color3,\n",
-              "    var(--pst-color-text-base, rgba(0, 0, 0, 0.38))\n",
-              "  );\n",
-              "  --xr-border-color: var(\n",
-              "    --jp-border-color2,\n",
-              "    hsl(from var(--pst-color-on-background, white) h s calc(l - 10))\n",
-              "  );\n",
-              "  --xr-disabled-color: var(\n",
-              "    --jp-layout-color3,\n",
-              "    hsl(from var(--pst-color-on-background, white) h s calc(l - 40))\n",
-              "  );\n",
-              "  --xr-background-color: var(\n",
-              "    --jp-layout-color0,\n",
-              "    var(--pst-color-on-background, white)\n",
-              "  );\n",
-              "  --xr-background-color-row-even: var(\n",
-              "    --jp-layout-color1,\n",
-              "    hsl(from var(--pst-color-on-background, white) h s calc(l - 5))\n",
-              "  );\n",
-              "  --xr-background-color-row-odd: var(\n",
-              "    --jp-layout-color2,\n",
-              "    hsl(from var(--pst-color-on-background, white) h s calc(l - 15))\n",
-              "  );\n",
-              "}\n",
-              "\n",
-              "html[theme=\"dark\"],\n",
-              "html[data-theme=\"dark\"],\n",
-              "body[data-theme=\"dark\"],\n",
-              "body.vscode-dark {\n",
-              "  --xr-font-color0: var(\n",
-              "    --jp-content-font-color0,\n",
-              "    var(--pst-color-text-base, rgba(255, 255, 255, 1))\n",
-              "  );\n",
-              "  --xr-font-color2: var(\n",
-              "    --jp-content-font-color2,\n",
-              "    var(--pst-color-text-base, rgba(255, 255, 255, 0.54))\n",
-              "  );\n",
-              "  --xr-font-color3: var(\n",
-              "    --jp-content-font-color3,\n",
-              "    var(--pst-color-text-base, rgba(255, 255, 255, 0.38))\n",
-              "  );\n",
-              "  --xr-border-color: var(\n",
-              "    --jp-border-color2,\n",
-              "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 10))\n",
-              "  );\n",
-              "  --xr-disabled-color: var(\n",
-              "    --jp-layout-color3,\n",
-              "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 40))\n",
-              "  );\n",
-              "  --xr-background-color: var(\n",
-              "    --jp-layout-color0,\n",
-              "    var(--pst-color-on-background, #111111)\n",
-              "  );\n",
-              "  --xr-background-color-row-even: var(\n",
-              "    --jp-layout-color1,\n",
-              "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 5))\n",
-              "  );\n",
-              "  --xr-background-color-row-odd: var(\n",
-              "    --jp-layout-color2,\n",
-              "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 15))\n",
-              "  );\n",
-              "}\n",
-              "\n",
-              ".xr-wrap {\n",
-              "  display: block !important;\n",
-              "  min-width: 300px;\n",
-              "  max-width: 700px;\n",
-              "  line-height: 1.6;\n",
-              "  padding-bottom: 4px;\n",
-              "}\n",
-              "\n",
-              ".xr-text-repr-fallback {\n",
-              "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
-              "  display: none;\n",
-              "}\n",
-              "\n",
-              ".xr-header {\n",
-              "  padding-top: 6px;\n",
-              "  padding-bottom: 6px;\n",
-              "}\n",
-              "\n",
-              ".xr-header {\n",
-              "  border-bottom: solid 1px var(--xr-border-color);\n",
-              "  margin-bottom: 4px;\n",
-              "}\n",
-              "\n",
-              ".xr-header > div,\n",
-              ".xr-header > ul {\n",
-              "  display: inline;\n",
-              "  margin-top: 0;\n",
-              "  margin-bottom: 0;\n",
-              "}\n",
-              "\n",
-              ".xr-obj-type,\n",
-              ".xr-obj-name {\n",
-              "  margin-left: 2px;\n",
-              "  margin-right: 10px;\n",
-              "}\n",
-              "\n",
-              ".xr-obj-type,\n",
-              ".xr-group-box-contents > label {\n",
-              "  color: var(--xr-font-color2);\n",
-              "  display: block;\n",
-              "}\n",
-              "\n",
-              ".xr-sections {\n",
-              "  padding-left: 0 !important;\n",
-              "  display: grid;\n",
-              "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
-              "  margin-block-start: 0;\n",
-              "  margin-block-end: 0;\n",
-              "}\n",
-              "\n",
-              ".xr-section-item {\n",
-              "  display: contents;\n",
-              "}\n",
-              "\n",
-              ".xr-section-item > input,\n",
-              ".xr-group-box-contents > input,\n",
-              ".xr-array-wrap > input {\n",
-              "  display: block;\n",
-              "  opacity: 0;\n",
-              "  height: 0;\n",
-              "  margin: 0;\n",
-              "}\n",
-              "\n",
-              ".xr-section-item > input + label,\n",
-              ".xr-var-item > input + label {\n",
-              "  color: var(--xr-disabled-color);\n",
-              "}\n",
-              "\n",
-              ".xr-section-item > input:enabled + label,\n",
-              ".xr-var-item > input:enabled + label,\n",
-              ".xr-array-wrap > input:enabled + label,\n",
-              ".xr-group-box-contents > input:enabled + label {\n",
-              "  cursor: pointer;\n",
-              "  color: var(--xr-font-color2);\n",
-              "}\n",
-              "\n",
-              ".xr-section-item > input:focus-visible + label,\n",
-              ".xr-var-item > input:focus-visible + label,\n",
-              ".xr-array-wrap > input:focus-visible + label,\n",
-              ".xr-group-box-contents > input:focus-visible + label {\n",
-              "  outline: auto;\n",
-              "}\n",
-              "\n",
-              ".xr-section-item > input:enabled + label:hover,\n",
-              ".xr-var-item > input:enabled + label:hover,\n",
-              ".xr-array-wrap > input:enabled + label:hover,\n",
-              ".xr-group-box-contents > input:enabled + label:hover {\n",
-              "  color: var(--xr-font-color0);\n",
-              "}\n",
-              "\n",
-              ".xr-section-summary {\n",
-              "  grid-column: 1;\n",
-              "  color: var(--xr-font-color2);\n",
-              "  font-weight: 500;\n",
-              "  white-space: nowrap;\n",
-              "}\n",
-              "\n",
-              ".xr-section-summary > em {\n",
-              "  font-weight: normal;\n",
-              "}\n",
-              "\n",
-              ".xr-span-grid {\n",
-              "  grid-column-end: -1;\n",
-              "}\n",
-              "\n",
-              ".xr-section-summary > span {\n",
-              "  display: inline-block;\n",
-              "  padding-left: 0.3em;\n",
-              "}\n",
-              "\n",
-              ".xr-group-box-contents > input:checked + label > span {\n",
-              "  display: inline-block;\n",
-              "  padding-left: 0.6em;\n",
-              "}\n",
-              "\n",
-              ".xr-section-summary-in:disabled + label {\n",
-              "  color: var(--xr-font-color2);\n",
-              "}\n",
-              "\n",
-              ".xr-section-summary-in + label:before {\n",
-              "  display: inline-block;\n",
-              "  content: \"►\";\n",
-              "  font-size: 11px;\n",
-              "  width: 15px;\n",
-              "  text-align: center;\n",
-              "}\n",
-              "\n",
-              ".xr-section-summary-in:disabled + label:before {\n",
-              "  color: var(--xr-disabled-color);\n",
-              "}\n",
-              "\n",
-              ".xr-section-summary-in:checked + label:before {\n",
-              "  content: \"▼\";\n",
-              "}\n",
-              "\n",
-              ".xr-section-summary-in:checked + label > span {\n",
-              "  display: none;\n",
-              "}\n",
-              "\n",
-              ".xr-section-summary,\n",
-              ".xr-section-inline-details,\n",
-              ".xr-group-box-contents > label {\n",
-              "  padding-top: 4px;\n",
-              "}\n",
-              "\n",
-              ".xr-section-inline-details {\n",
-              "  grid-column: 2 / -1;\n",
-              "}\n",
-              "\n",
-              ".xr-section-details {\n",
-              "  grid-column: 1 / -1;\n",
-              "  margin-top: 4px;\n",
-              "  margin-bottom: 5px;\n",
-              "}\n",
-              "\n",
-              ".xr-section-summary-in ~ .xr-section-details {\n",
-              "  display: none;\n",
-              "}\n",
-              "\n",
-              ".xr-section-summary-in:checked ~ .xr-section-details {\n",
-              "  display: contents;\n",
-              "}\n",
-              "\n",
-              ".xr-children {\n",
-              "  display: inline-grid;\n",
-              "  grid-template-columns: 100%;\n",
-              "  grid-column: 1 / -1;\n",
-              "  padding-top: 4px;\n",
-              "}\n",
-              "\n",
-              ".xr-group-box {\n",
-              "  display: inline-grid;\n",
-              "  grid-template-columns: 0px 30px auto;\n",
-              "}\n",
-              "\n",
-              ".xr-group-box-vline {\n",
-              "  grid-column-start: 1;\n",
-              "  border-right: 0.2em solid;\n",
-              "  border-color: var(--xr-border-color);\n",
-              "  width: 0px;\n",
-              "}\n",
-              "\n",
-              ".xr-group-box-hline {\n",
-              "  grid-column-start: 2;\n",
-              "  grid-row-start: 1;\n",
-              "  height: 1em;\n",
-              "  width: 26px;\n",
-              "  border-bottom: 0.2em solid;\n",
-              "  border-color: var(--xr-border-color);\n",
-              "}\n",
-              "\n",
-              ".xr-group-box-contents {\n",
-              "  grid-column-start: 3;\n",
-              "  padding-bottom: 4px;\n",
-              "}\n",
-              "\n",
-              ".xr-group-box-contents > label::before {\n",
-              "  content: \"📂\";\n",
-              "  padding-right: 0.3em;\n",
-              "}\n",
-              "\n",
-              ".xr-group-box-contents > input:checked + label::before {\n",
-              "  content: \"📁\";\n",
-              "}\n",
-              "\n",
-              ".xr-group-box-contents > input:checked + label {\n",
-              "  padding-bottom: 0px;\n",
-              "}\n",
-              "\n",
-              ".xr-group-box-contents > input:checked ~ .xr-sections {\n",
-              "  display: none;\n",
-              "}\n",
-              "\n",
-              ".xr-group-box-contents > input + label > span {\n",
-              "  display: none;\n",
-              "}\n",
-              "\n",
-              ".xr-group-box-ellipsis {\n",
-              "  font-size: 1.4em;\n",
-              "  font-weight: 900;\n",
-              "  color: var(--xr-font-color2);\n",
-              "  letter-spacing: 0.15em;\n",
-              "  cursor: default;\n",
-              "}\n",
-              "\n",
-              ".xr-array-wrap {\n",
-              "  grid-column: 1 / -1;\n",
-              "  display: grid;\n",
-              "  grid-template-columns: 20px auto;\n",
-              "}\n",
-              "\n",
-              ".xr-array-wrap > label {\n",
-              "  grid-column: 1;\n",
-              "  vertical-align: top;\n",
-              "}\n",
-              "\n",
-              ".xr-preview {\n",
-              "  color: var(--xr-font-color3);\n",
-              "}\n",
-              "\n",
-              ".xr-array-preview,\n",
-              ".xr-array-data {\n",
-              "  padding: 0 5px !important;\n",
-              "  grid-column: 2;\n",
-              "}\n",
-              "\n",
-              ".xr-array-data,\n",
-              ".xr-array-in:checked ~ .xr-array-preview {\n",
-              "  display: none;\n",
-              "}\n",
-              "\n",
-              ".xr-array-in:checked ~ .xr-array-data,\n",
-              ".xr-array-preview {\n",
-              "  display: inline-block;\n",
-              "}\n",
-              "\n",
-              ".xr-dim-list {\n",
-              "  display: inline-block !important;\n",
-              "  list-style: none;\n",
-              "  padding: 0 !important;\n",
-              "  margin: 0;\n",
-              "}\n",
-              "\n",
-              ".xr-dim-list li {\n",
-              "  display: inline-block;\n",
-              "  padding: 0;\n",
-              "  margin: 0;\n",
-              "}\n",
-              "\n",
-              ".xr-dim-list:before {\n",
-              "  content: \"(\";\n",
-              "}\n",
-              "\n",
-              ".xr-dim-list:after {\n",
-              "  content: \")\";\n",
-              "}\n",
-              "\n",
-              ".xr-dim-list li:not(:last-child):after {\n",
-              "  content: \",\";\n",
-              "  padding-right: 5px;\n",
-              "}\n",
-              "\n",
-              ".xr-has-index {\n",
-              "  font-weight: bold;\n",
-              "}\n",
-              "\n",
-              ".xr-var-list,\n",
-              ".xr-var-item {\n",
-              "  display: contents;\n",
-              "}\n",
-              "\n",
-              ".xr-var-item > div,\n",
-              ".xr-var-item label,\n",
-              ".xr-var-item > .xr-var-name span {\n",
-              "  background-color: var(--xr-background-color-row-even);\n",
-              "  border-color: var(--xr-background-color-row-odd);\n",
-              "  margin-bottom: 0;\n",
-              "  padding-top: 2px;\n",
-              "}\n",
-              "\n",
-              ".xr-var-item > .xr-var-name:hover span {\n",
-              "  padding-right: 5px;\n",
-              "}\n",
-              "\n",
-              ".xr-var-list > li:nth-child(odd) > div,\n",
-              ".xr-var-list > li:nth-child(odd) > label,\n",
-              ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
-              "  background-color: var(--xr-background-color-row-odd);\n",
-              "  border-color: var(--xr-background-color-row-even);\n",
-              "}\n",
-              "\n",
-              ".xr-var-name {\n",
-              "  grid-column: 1;\n",
-              "}\n",
-              "\n",
-              ".xr-var-dims {\n",
-              "  grid-column: 2;\n",
-              "}\n",
-              "\n",
-              ".xr-var-dtype {\n",
-              "  grid-column: 3;\n",
-              "  text-align: right;\n",
-              "  color: var(--xr-font-color2);\n",
-              "}\n",
-              "\n",
-              ".xr-var-preview {\n",
-              "  grid-column: 4;\n",
-              "}\n",
-              "\n",
-              ".xr-index-preview {\n",
-              "  grid-column: 2 / 5;\n",
-              "  color: var(--xr-font-color2);\n",
-              "}\n",
-              "\n",
-              ".xr-var-name,\n",
-              ".xr-var-dims,\n",
-              ".xr-var-dtype,\n",
-              ".xr-preview,\n",
-              ".xr-attrs dt {\n",
-              "  white-space: nowrap;\n",
-              "  overflow: hidden;\n",
-              "  text-overflow: ellipsis;\n",
-              "  padding-right: 10px;\n",
-              "}\n",
-              "\n",
-              ".xr-var-name:hover,\n",
-              ".xr-var-dims:hover,\n",
-              ".xr-var-dtype:hover,\n",
-              ".xr-attrs dt:hover {\n",
-              "  overflow: visible;\n",
-              "  width: auto;\n",
-              "  z-index: 1;\n",
-              "}\n",
-              "\n",
-              ".xr-var-attrs,\n",
-              ".xr-var-data,\n",
-              ".xr-index-data {\n",
-              "  display: none;\n",
-              "  border-top: 2px dotted var(--xr-background-color);\n",
-              "  padding-bottom: 20px !important;\n",
-              "  padding-top: 10px !important;\n",
-              "}\n",
-              "\n",
-              ".xr-var-attrs-in + label,\n",
-              ".xr-var-data-in + label,\n",
-              ".xr-index-data-in + label {\n",
-              "  padding: 0 1px;\n",
-              "}\n",
-              "\n",
-              ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
-              ".xr-var-data-in:checked ~ .xr-var-data,\n",
-              ".xr-index-data-in:checked ~ .xr-index-data {\n",
-              "  display: block;\n",
-              "}\n",
-              "\n",
-              ".xr-var-data > table {\n",
-              "  float: right;\n",
-              "}\n",
-              "\n",
-              ".xr-var-data > pre,\n",
-              ".xr-index-data > pre,\n",
-              ".xr-var-data > table > tbody > tr {\n",
-              "  background-color: transparent !important;\n",
-              "}\n",
-              "\n",
-              ".xr-var-name span,\n",
-              ".xr-var-data,\n",
-              ".xr-index-name div,\n",
-              ".xr-index-data,\n",
-              ".xr-attrs {\n",
-              "  padding-left: 25px !important;\n",
-              "}\n",
-              "\n",
-              ".xr-attrs,\n",
-              ".xr-var-attrs,\n",
-              ".xr-var-data,\n",
-              ".xr-index-data {\n",
-              "  grid-column: 1 / -1;\n",
-              "}\n",
-              "\n",
-              "dl.xr-attrs {\n",
-              "  padding: 0;\n",
-              "  margin: 0;\n",
-              "  display: grid;\n",
-              "  grid-template-columns: 125px auto;\n",
-              "}\n",
-              "\n",
-              ".xr-attrs dt,\n",
-              ".xr-attrs dd {\n",
-              "  padding: 0;\n",
-              "  margin: 0;\n",
-              "  float: left;\n",
-              "  padding-right: 10px;\n",
-              "  width: auto;\n",
-              "}\n",
-              "\n",
-              ".xr-attrs dt {\n",
-              "  font-weight: normal;\n",
-              "  grid-column: 1;\n",
-              "}\n",
-              "\n",
-              ".xr-attrs dt:hover span {\n",
-              "  display: inline-block;\n",
-              "  background: var(--xr-background-color);\n",
-              "  padding-right: 10px;\n",
-              "}\n",
-              "\n",
-              ".xr-attrs dd {\n",
-              "  grid-column: 2;\n",
-              "  white-space: pre-wrap;\n",
-              "  word-break: break-all;\n",
-              "}\n",
-              "\n",
-              ".xr-icon-database,\n",
-              ".xr-icon-file-text2,\n",
-              ".xr-no-icon {\n",
-              "  display: inline-block;\n",
-              "  vertical-align: middle;\n",
-              "  width: 1em;\n",
-              "  height: 1.5em !important;\n",
-              "  stroke-width: 0;\n",
-              "  stroke: currentColor;\n",
-              "  fill: currentColor;\n",
-              "}\n",
-              "\n",
-              ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
-              ".xr-var-data-in:checked + label > .xr-icon-database,\n",
-              ".xr-index-data-in:checked + label > .xr-icon-database {\n",
-              "  color: var(--xr-font-color0);\n",
-              "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
-              "  stroke-width: 0.8px;\n",
-              "}\n",
-              "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 4kB\n",
-              "Dimensions:  (obs_ind: 30, coeffs: 15)\n",
-              "Coordinates:\n",
-              "  * obs_ind  (obs_ind) int64 240B 0 1 2 3 4 5 6 7 8 ... 22 23 24 25 26 27 28 29\n",
-              "  * coeffs   (coeffs) &lt;U11 660B &#x27;Australia&#x27; &#x27;Austria&#x27; ... &#x27;Sweden&#x27; &#x27;Switzerland&#x27;\n",
-              "Data variables:\n",
-              "    X        (obs_ind, coeffs) float64 4kB 3.84 0.8028 0.9412 ... 12.37 1.719\n",
-              "Attributes:\n",
-              "    created_at:                 2026-02-28T22:18:02.964081+00:00\n",
-              "    arviz_version:              0.23.4\n",
-              "    inference_library:          pymc\n",
-              "    inference_library_version:  5.27.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-2ecef160-215f-4c4e-804f-f07d50cf792e' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-2ecef160-215f-4c4e-804f-f07d50cf792e' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>obs_ind</span>: 30</li><li><span class='xr-has-index'>coeffs</span>: 15</li></ul></div></li><li class='xr-section-item'><input id='section-2a19ae41-d808-40e5-ad88-ad992892469e' class='xr-section-summary-in' type='checkbox' checked /><label for='section-2a19ae41-d808-40e5-ad88-ad992892469e' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>obs_ind</span></div><div class='xr-var-dims'>(obs_ind)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 24 25 26 27 28 29</div><input id='attrs-5abb0eea-c806-4017-8981-3491fbb31d46' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5abb0eea-c806-4017-8981-3491fbb31d46' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-716e94af-8112-4096-971a-ee833a93af79' class='xr-var-data-in' type='checkbox'><label for='data-716e94af-8112-4096-971a-ee833a93af79' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
-              "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>coeffs</span></div><div class='xr-var-dims'>(coeffs)</div><div class='xr-var-dtype'>&lt;U11</div><div class='xr-var-preview xr-preview'>&#x27;Australia&#x27; ... &#x27;Switzerland&#x27;</div><input id='attrs-bdff3be3-bd5d-4ec7-9d5f-da5302d0ecf1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bdff3be3-bd5d-4ec7-9d5f-da5302d0ecf1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d911a9ac-e670-4dfa-b7e4-edfe9133c643' class='xr-var-data-in' type='checkbox'><label for='data-d911a9ac-e670-4dfa-b7e4-edfe9133c643' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;Australia&#x27;, &#x27;Austria&#x27;, &#x27;Belgium&#x27;, &#x27;Canada&#x27;, &#x27;Denmark&#x27;, &#x27;Finland&#x27;,\n",
-              "       &#x27;France&#x27;, &#x27;Germany&#x27;, &#x27;Iceland&#x27;, &#x27;Luxemburg&#x27;, &#x27;Netherlands&#x27;,\n",
-              "       &#x27;New_Zealand&#x27;, &#x27;Norway&#x27;, &#x27;Sweden&#x27;, &#x27;Switzerland&#x27;], dtype=&#x27;&lt;U11&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c829c25b-8af3-4132-be6b-a3a87e8ff5a1' class='xr-section-summary-in' type='checkbox' checked /><label for='section-c829c25b-8af3-4132-be6b-a3a87e8ff5a1' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>X</span></div><div class='xr-var-dims'>(obs_ind, coeffs)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.84 0.8028 0.9412 ... 12.37 1.719</div><input id='attrs-6f8067df-82b1-492e-862d-81e2e252d3e6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6f8067df-82b1-492e-862d-81e2e252d3e6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ac25adf4-d4ea-466f-92e7-451fea595ce0' class='xr-var-data-in' type='checkbox'><label for='data-ac25adf4-d4ea-466f-92e7-451fea595ce0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 3.84048  ,  0.802836 ,  0.94117  , 16.93824  ,  4.50096  ,\n",
-              "         0.51052  ,  5.0545   ,  6.63471  ,  5.18157  ,  0.114836 ,\n",
-              "         1.634391 ,  0.47336  ,  7.78753  , 10.3222   ,  1.4765317],\n",
-              "       [ 3.86954  ,  0.796545 ,  0.94162  , 16.7534   ,  4.41372  ,\n",
-              "         0.50829  ,  5.05375  ,  6.6453   ,  5.16171  ,  0.116259 ,\n",
-              "         1.634432 ,  0.47916  ,  7.71903  , 10.32867  ,  1.485509 ],\n",
-              "       [ 3.88115  ,  0.799937 ,  0.95352  , 16.82878  ,  4.42898  ,\n",
-              "         0.51299  ,  5.06237  ,  6.68237  ,  5.24132  ,  0.118747 ,\n",
-              "         1.640982 ,  0.48188  ,  7.724    , 10.32328  ,  1.502506 ],\n",
-              "       [ 3.91028  ,  0.803823 ,  0.96117  , 17.02503  ,  4.433    ,\n",
-              "         0.50903  ,  5.09832  ,  6.73155  ,  5.22482  ,  0.119302 ,\n",
-              "         1.650866 ,  0.48805  ,  7.72812  , 10.37107  ,  1.5151385],\n",
-              "       [ 3.92716  ,  0.80051  ,  0.96615  , 17.23041  ,  4.47128  ,\n",
-              "         0.51413  ,  5.11625  ,  6.78621  ,  4.91128  ,  0.121414 ,\n",
-              "         1.647748 ,  0.49349  ,  7.87891  , 10.64833  ,  1.525864 ],\n",
-              "       [ 3.95387  ,  0.811277 ,  0.97567  , 17.32057  ,  4.50184  ,\n",
-              "         0.52833  ,  5.14098  ,  6.93903  ,  5.10614  ,  0.122733 ,\n",
-              "         1.654981 ,  0.49609  ,  7.79516  , 10.86674  ,  1.5384847],\n",
-              "       [ 3.98175  ,  0.81855  ,  0.97974  , 17.44332  ,  4.57321  ,\n",
-              "         0.52616  ,  5.17273  ,  6.99577  ,  5.00671  ,  0.120794 ,\n",
-              "...\n",
-              "         0.52588  ,  5.39537  ,  7.53046  ,  5.61836  ,  0.135719 ,\n",
-              "         1.708111 ,  0.54982  ,  8.43427  , 11.82275  ,  1.6761612],\n",
-              "       [ 4.50884  ,  0.856751 ,  1.03446  , 19.36275  ,  4.79998  ,\n",
-              "         0.52179  ,  5.4238   ,  7.49188  ,  5.51916  ,  0.134703 ,\n",
-              "         1.718281 ,  0.55348  ,  8.41262  , 11.98956  ,  1.6733119],\n",
-              "       [ 4.5137   ,  0.858388 ,  1.04141  , 19.31005  ,  4.82243  ,\n",
-              "         0.52973  ,  5.42994  ,  7.5471   ,  5.86313  ,  0.135616 ,\n",
-              "         1.723575 ,  0.5585   ,  8.45721  , 12.10879  ,  1.6853151],\n",
-              "       [ 4.56084  ,  0.863285 ,  1.0434   , 19.37835  ,  4.83698  ,\n",
-              "         0.52968  ,  5.44213  ,  7.58115  ,  5.81588  ,  0.134972 ,\n",
-              "         1.729509 ,  0.56733  ,  8.55631  , 12.27554  ,  1.6959884],\n",
-              "       [ 4.58825  ,  0.864379 ,  1.04775  , 19.39286  ,  4.84776  ,\n",
-              "         0.53265  ,  5.45297  ,  7.61443  ,  5.9103   ,  0.13584  ,\n",
-              "         1.729793 ,  0.57376  ,  8.48118  , 12.36629  ,  1.7029608],\n",
-              "       [ 4.62773  ,  0.873659 ,  1.04835  , 19.49923  ,  4.9036   ,\n",
-              "         0.53922  ,  5.48707  ,  7.67836  ,  5.73509  ,  0.139863 ,\n",
-              "         1.745688 ,  0.57866  ,  8.49252  , 12.35977  ,  1.7101124],\n",
-              "       [ 4.658    ,  0.872602 ,  1.05411  , 19.40335  ,  4.96993  ,\n",
-              "         0.54006  ,  5.47082  ,  7.71241  ,  6.13539  ,  0.14183  ,\n",
-              "         1.749799 ,  0.58517  ,  8.48983  , 12.36546  ,  1.7190255]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7e21a501-cfe6-429d-9154-949a4f4cf71a' class='xr-section-summary-in' type='checkbox' checked /><label for='section-7e21a501-cfe6-429d-9154-949a4f4cf71a' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>created_at :</span></dt><dd>2026-02-28T22:18:02.964081+00:00</dd><dt><span>arviz_version :</span></dt><dd>0.23.4</dd><dt><span>inference_library :</span></dt><dd>pymc</dd><dt><span>inference_library_version :</span></dt><dd>5.27.1</dd></dl></div></li></ul></div></div><br></div>\n",
-              "                      </ul>\n",
-              "                  </div>\n",
-              "            </li>\n",
-              "            \n",
-              "              </ul>\n",
-              "            </div>\n",
-              "            <style> /* CSS stylesheet for displaying InferenceData objects in jupyterlab.\n",
-              " *\n",
-              " */\n",
-              "\n",
-              ":root {\n",
-              "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
-              "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
-              "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
-              "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
-              "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
-              "  --xr-background-color: var(--jp-layout-color0, white);\n",
-              "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
-              "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
-              "}\n",
-              "\n",
-              "html[theme=dark],\n",
-              "body.vscode-dark {\n",
-              "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
-              "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
-              "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
-              "  --xr-border-color: #1F1F1F;\n",
-              "  --xr-disabled-color: #515151;\n",
-              "  --xr-background-color: #111111;\n",
-              "  --xr-background-color-row-even: #111111;\n",
-              "  --xr-background-color-row-odd: #313131;\n",
-              "}\n",
-              "\n",
-              ".xr-wrap {\n",
-              "  display: block;\n",
-              "  min-width: 300px;\n",
-              "  max-width: 700px;\n",
-              "}\n",
-              "\n",
-              ".xr-text-repr-fallback {\n",
-              "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
-              "  display: none;\n",
-              "}\n",
-              "\n",
-              ".xr-header {\n",
-              "  padding-top: 6px;\n",
-              "  padding-bottom: 6px;\n",
-              "  margin-bottom: 4px;\n",
-              "  border-bottom: solid 1px var(--xr-border-color);\n",
-              "}\n",
-              "\n",
-              ".xr-header > div,\n",
-              ".xr-header > ul {\n",
-              "  display: inline;\n",
-              "  margin-top: 0;\n",
-              "  margin-bottom: 0;\n",
-              "}\n",
-              "\n",
-              ".xr-obj-type,\n",
-              ".xr-array-name {\n",
-              "  margin-left: 2px;\n",
-              "  margin-right: 10px;\n",
-              "}\n",
-              "\n",
-              ".xr-obj-type {\n",
-              "  color: var(--xr-font-color2);\n",
-              "}\n",
-              "\n",
-              ".xr-sections {\n",
-              "  padding-left: 0 !important;\n",
-              "  display: grid;\n",
-              "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
-              "}\n",
-              "\n",
-              ".xr-sections.group-sections {\n",
-              "  grid-template-columns: auto;\n",
-              "}\n",
-              "\n",
-              ".xr-section-item {\n",
-              "  display: contents;\n",
-              "}\n",
-              "\n",
-              ".xr-section-item input {\n",
-              "  display: none;\n",
-              "}\n",
-              "\n",
-              ".xr-section-item input + label {\n",
-              "  color: var(--xr-disabled-color);\n",
-              "}\n",
-              "\n",
-              ".xr-section-item input:enabled + label {\n",
-              "  cursor: pointer;\n",
-              "  color: var(--xr-font-color2);\n",
-              "}\n",
-              "\n",
-              ".xr-section-item input:enabled + label:hover {\n",
-              "  color: var(--xr-font-color0);\n",
-              "}\n",
-              "\n",
-              ".xr-section-summary {\n",
-              "  grid-column: 1;\n",
-              "  color: var(--xr-font-color2);\n",
-              "  font-weight: 500;\n",
-              "}\n",
-              "\n",
-              ".xr-section-summary > span {\n",
-              "  display: inline-block;\n",
-              "  padding-left: 0.5em;\n",
-              "}\n",
-              "\n",
-              ".xr-section-summary-in:disabled + label {\n",
-              "  color: var(--xr-font-color2);\n",
-              "}\n",
-              "\n",
-              ".xr-section-summary-in + label:before {\n",
-              "  display: inline-block;\n",
-              "  content: '►';\n",
-              "  font-size: 11px;\n",
-              "  width: 15px;\n",
-              "  text-align: center;\n",
-              "}\n",
-              "\n",
-              ".xr-section-summary-in:disabled + label:before {\n",
-              "  color: var(--xr-disabled-color);\n",
-              "}\n",
-              "\n",
-              ".xr-section-summary-in:checked + label:before {\n",
-              "  content: '▼';\n",
-              "}\n",
-              "\n",
-              ".xr-section-summary-in:checked + label > span {\n",
-              "  display: none;\n",
-              "}\n",
-              "\n",
-              ".xr-section-summary,\n",
-              ".xr-section-inline-details {\n",
-              "  padding-top: 4px;\n",
-              "  padding-bottom: 4px;\n",
-              "}\n",
-              "\n",
-              ".xr-section-inline-details {\n",
-              "  grid-column: 2 / -1;\n",
-              "}\n",
-              "\n",
-              ".xr-section-details {\n",
-              "  display: none;\n",
-              "  grid-column: 1 / -1;\n",
-              "  margin-bottom: 5px;\n",
-              "}\n",
-              "\n",
-              ".xr-section-summary-in:checked ~ .xr-section-details {\n",
-              "  display: contents;\n",
-              "}\n",
-              "\n",
-              ".xr-array-wrap {\n",
-              "  grid-column: 1 / -1;\n",
-              "  display: grid;\n",
-              "  grid-template-columns: 20px auto;\n",
-              "}\n",
-              "\n",
-              ".xr-array-wrap > label {\n",
-              "  grid-column: 1;\n",
-              "  vertical-align: top;\n",
-              "}\n",
-              "\n",
-              ".xr-preview {\n",
-              "  color: var(--xr-font-color3);\n",
-              "}\n",
-              "\n",
-              ".xr-array-preview,\n",
-              ".xr-array-data {\n",
-              "  padding: 0 5px !important;\n",
-              "  grid-column: 2;\n",
-              "}\n",
-              "\n",
-              ".xr-array-data,\n",
-              ".xr-array-in:checked ~ .xr-array-preview {\n",
-              "  display: none;\n",
-              "}\n",
-              "\n",
-              ".xr-array-in:checked ~ .xr-array-data,\n",
-              ".xr-array-preview {\n",
-              "  display: inline-block;\n",
-              "}\n",
-              "\n",
-              ".xr-dim-list {\n",
-              "  display: inline-block !important;\n",
-              "  list-style: none;\n",
-              "  padding: 0 !important;\n",
-              "  margin: 0;\n",
-              "}\n",
-              "\n",
-              ".xr-dim-list li {\n",
-              "  display: inline-block;\n",
-              "  padding: 0;\n",
-              "  margin: 0;\n",
-              "}\n",
-              "\n",
-              ".xr-dim-list:before {\n",
-              "  content: '(';\n",
-              "}\n",
-              "\n",
-              ".xr-dim-list:after {\n",
-              "  content: ')';\n",
-              "}\n",
-              "\n",
-              ".xr-dim-list li:not(:last-child):after {\n",
-              "  content: ',';\n",
-              "  padding-right: 5px;\n",
-              "}\n",
-              "\n",
-              ".xr-has-index {\n",
-              "  font-weight: bold;\n",
-              "}\n",
-              "\n",
-              ".xr-var-list,\n",
-              ".xr-var-item {\n",
-              "  display: contents;\n",
-              "}\n",
-              "\n",
-              ".xr-var-item > div,\n",
-              ".xr-var-item label,\n",
-              ".xr-var-item > .xr-var-name span {\n",
-              "  background-color: var(--xr-background-color-row-even);\n",
-              "  margin-bottom: 0;\n",
-              "}\n",
-              "\n",
-              ".xr-var-item > .xr-var-name:hover span {\n",
-              "  padding-right: 5px;\n",
-              "}\n",
-              "\n",
-              ".xr-var-list > li:nth-child(odd) > div,\n",
-              ".xr-var-list > li:nth-child(odd) > label,\n",
-              ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
-              "  background-color: var(--xr-background-color-row-odd);\n",
-              "}\n",
-              "\n",
-              ".xr-var-name {\n",
-              "  grid-column: 1;\n",
-              "}\n",
-              "\n",
-              ".xr-var-dims {\n",
-              "  grid-column: 2;\n",
-              "}\n",
-              "\n",
-              ".xr-var-dtype {\n",
-              "  grid-column: 3;\n",
-              "  text-align: right;\n",
-              "  color: var(--xr-font-color2);\n",
-              "}\n",
-              "\n",
-              ".xr-var-preview {\n",
-              "  grid-column: 4;\n",
-              "}\n",
-              "\n",
-              ".xr-var-name,\n",
-              ".xr-var-dims,\n",
-              ".xr-var-dtype,\n",
-              ".xr-preview,\n",
-              ".xr-attrs dt {\n",
-              "  white-space: nowrap;\n",
-              "  overflow: hidden;\n",
-              "  text-overflow: ellipsis;\n",
-              "  padding-right: 10px;\n",
-              "}\n",
-              "\n",
-              ".xr-var-name:hover,\n",
-              ".xr-var-dims:hover,\n",
-              ".xr-var-dtype:hover,\n",
-              ".xr-attrs dt:hover {\n",
-              "  overflow: visible;\n",
-              "  width: auto;\n",
-              "  z-index: 1;\n",
-              "}\n",
-              "\n",
-              ".xr-var-attrs,\n",
-              ".xr-var-data {\n",
-              "  display: none;\n",
-              "  background-color: var(--xr-background-color) !important;\n",
-              "  padding-bottom: 5px !important;\n",
-              "}\n",
-              "\n",
-              ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
-              ".xr-var-data-in:checked ~ .xr-var-data {\n",
-              "  display: block;\n",
-              "}\n",
-              "\n",
-              ".xr-var-data > table {\n",
-              "  float: right;\n",
-              "}\n",
-              "\n",
-              ".xr-var-name span,\n",
-              ".xr-var-data,\n",
-              ".xr-attrs {\n",
-              "  padding-left: 25px !important;\n",
-              "}\n",
-              "\n",
-              ".xr-attrs,\n",
-              ".xr-var-attrs,\n",
-              ".xr-var-data {\n",
-              "  grid-column: 1 / -1;\n",
-              "}\n",
-              "\n",
-              "dl.xr-attrs {\n",
-              "  padding: 0;\n",
-              "  margin: 0;\n",
-              "  display: grid;\n",
-              "  grid-template-columns: 125px auto;\n",
-              "}\n",
-              "\n",
-              ".xr-attrs dt,\n",
-              ".xr-attrs dd {\n",
-              "  padding: 0;\n",
-              "  margin: 0;\n",
-              "  float: left;\n",
-              "  padding-right: 10px;\n",
-              "  width: auto;\n",
-              "}\n",
-              "\n",
-              ".xr-attrs dt {\n",
-              "  font-weight: normal;\n",
-              "  grid-column: 1;\n",
-              "}\n",
-              "\n",
-              ".xr-attrs dt:hover span {\n",
-              "  display: inline-block;\n",
-              "  background: var(--xr-background-color);\n",
-              "  padding-right: 10px;\n",
-              "}\n",
-              "\n",
-              ".xr-attrs dd {\n",
-              "  grid-column: 2;\n",
-              "  white-space: pre-wrap;\n",
-              "  word-break: break-all;\n",
-              "}\n",
-              "\n",
-              ".xr-icon-database,\n",
-              ".xr-icon-file-text2 {\n",
-              "  display: inline-block;\n",
-              "  vertical-align: middle;\n",
-              "  width: 1em;\n",
-              "  height: 1.5em !important;\n",
-              "  stroke-width: 0;\n",
-              "  stroke: currentColor;\n",
-              "  fill: currentColor;\n",
-              "}\n",
-              ".xr-wrap{width:700px!important;} </style>"
-            ],
-            "text/plain": [
-              "Inference data with groups:\n",
-              "\t> posterior\n",
-              "\t> posterior_predictive\n",
-              "\t> sample_stats\n",
-              "\t> prior\n",
-              "\t> prior_predictive\n",
-              "\t> observed_data\n",
-              "\t> constant_data"
-            ]
-          },
-          "metadata": {},
-          "execution_count": null
-        }
-      ]
-    },
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "az.style.use(\"arviz-darkgrid\")\n",
+    "\n",
+    "fig, ax = result.plot(plot_predictors=False)\n",
+    "\n",
+    "for i in [0, 1, 2]:\n",
+    "    ax[i].set(ylabel=\"Trillion USD\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-28T22:18:04.649414Z",
+     "iopub.status.busy": "2026-02-28T22:18:04.649334Z",
+     "iopub.status.idle": "2026-02-28T22:18:04.677655Z",
+     "shell.execute_reply": "2026-02-28T22:18:04.677372Z"
+    }
+   },
+   "outputs": [
     {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "Check the MCMC chain mixing via the `Rhat` statistic."
-      ]
-    },
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "================================SyntheticControl================================\n",
+      "Control units: ['Australia', 'Austria', 'Belgium', 'Canada', 'Denmark', 'Finland', 'France', 'Germany', 'Iceland', 'Luxemburg', 'Netherlands', 'New_Zealand', 'Norway', 'Sweden', 'Switzerland']\n",
+      "Treated unit: UK\n",
+      "Model coefficients:\n",
+      "    Australia    0.13, 94% HDI [0.012, 0.27]\n",
+      "    Austria      0.043, 94% HDI [0.0015, 0.15]\n",
+      "    Belgium      0.049, 94% HDI [0.00096, 0.16]\n",
+      "    Canada       0.039, 94% HDI [0.0039, 0.084]\n",
+      "    Denmark      0.093, 94% HDI [0.0049, 0.23]\n",
+      "    Finland      0.039, 94% HDI [0.0012, 0.14]\n",
+      "    France       0.028, 94% HDI [0.00081, 0.096]\n",
+      "    Germany      0.026, 94% HDI [0.0012, 0.087]\n",
+      "    Iceland      0.15, 94% HDI [0.073, 0.23]\n",
+      "    Luxemburg    0.05, 94% HDI [0.0017, 0.16]\n",
+      "    Netherlands  0.048, 94% HDI [0.002, 0.15]\n",
+      "    New_Zealand  0.065, 94% HDI [0.0024, 0.19]\n",
+      "    Norway       0.081, 94% HDI [0.0074, 0.17]\n",
+      "    Sweden       0.097, 94% HDI [0.036, 0.15]\n",
+      "    Switzerland  0.065, 94% HDI [0.0022, 0.2]\n",
+      "    y_hat_sigma  0.03, 94% HDI [0.023, 0.04]\n",
+      "Pre-treatment correlation (UK): 0.9927\n"
+     ]
+    }
+   ],
+   "source": [
+    "result.summary()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Effect Summary Reporting\n",
+    "\n",
+    "For decision-making, you often need a concise summary of the causal effect with key statistics. The `effect_summary()` method provides a decision-ready report with average and cumulative effects, HDI intervals, tail probabilities, and relative effects. This provides a comprehensive summary without manual post-processing.\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-28T22:18:04.679066Z",
+     "iopub.status.busy": "2026-02-28T22:18:04.678988Z",
+     "iopub.status.idle": "2026-02-28T22:18:04.704555Z",
+     "shell.execute_reply": "2026-02-28T22:18:04.704199Z"
+    }
+   },
+   "outputs": [
     {
-      "cell_type": "code",
-      "metadata": {
-        "execution": {
-          "iopub.execute_input": "2026-02-28T22:18:04.305912Z",
-          "iopub.status.busy": "2026-02-28T22:18:04.305819Z",
-          "iopub.status.idle": "2026-02-28T22:18:04.360163Z",
-          "shell.execute_reply": "2026-02-28T22:18:04.359804Z"
-        }
+     "data": {
+      "application/vnd.positron.dataexplorer+json": {
+       "comm_id": "9f8aab1d-1e9e-4fd8-a98f-3a07d14fae1c",
+       "shape": {
+        "columns": 8,
+        "rows": 2
+       },
+       "source": "pandas",
+       "title": "pandas",
+       "version": 1
       },
-      "source": [
-        "az.summary(result.idata, var_names=[\"~mu\"])"
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>mean</th>\n",
+       "      <th>median</th>\n",
+       "      <th>hdi_lower</th>\n",
+       "      <th>hdi_upper</th>\n",
+       "      <th>p_gt_0</th>\n",
+       "      <th>relative_mean</th>\n",
+       "      <th>relative_hdi_lower</th>\n",
+       "      <th>relative_hdi_upper</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>average</th>\n",
+       "      <td>-0.178269</td>\n",
+       "      <td>-0.179141</td>\n",
+       "      <td>-0.226035</td>\n",
+       "      <td>-0.129242</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>-3.163391</td>\n",
+       "      <td>-3.979627</td>\n",
+       "      <td>-2.314919</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>cumulative</th>\n",
+       "      <td>-4.100194</td>\n",
+       "      <td>-4.120234</td>\n",
+       "      <td>-5.198808</td>\n",
+       "      <td>-2.972572</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>-3.163391</td>\n",
+       "      <td>-3.979627</td>\n",
+       "      <td>-2.314920</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
       ],
-      "execution_count": 12,
-      "outputs": [
-        {
-          "output_type": "execute_result",
-          "data": {
-            "text/html": [
-              "<div>\n",
-              "<style scoped>\n",
-              "    .dataframe tbody tr th:only-of-type {\n",
-              "        vertical-align: middle;\n",
-              "    }\n",
-              "\n",
-              "    .dataframe tbody tr th {\n",
-              "        vertical-align: top;\n",
-              "    }\n",
-              "\n",
-              "    .dataframe thead th {\n",
-              "        text-align: right;\n",
-              "    }\n",
-              "</style>\n",
-              "<table border=\"1\" class=\"dataframe\">\n",
-              "  <thead>\n",
-              "    <tr style=\"text-align: right;\">\n",
-              "      <th></th>\n",
-              "      <th>mean</th>\n",
-              "      <th>sd</th>\n",
-              "      <th>hdi_3%</th>\n",
-              "      <th>hdi_97%</th>\n",
-              "      <th>mcse_mean</th>\n",
-              "      <th>mcse_sd</th>\n",
-              "      <th>ess_bulk</th>\n",
-              "      <th>ess_tail</th>\n",
-              "      <th>r_hat</th>\n",
-              "    </tr>\n",
-              "  </thead>\n",
-              "  <tbody>\n",
-              "    <tr>\n",
-              "      <th>beta[UK, Australia]</th>\n",
-              "      <td>0.120</td>\n",
-              "      <td>0.073</td>\n",
-              "      <td>0.000</td>\n",
-              "      <td>0.241</td>\n",
-              "      <td>0.003</td>\n",
-              "      <td>0.001</td>\n",
-              "      <td>489.0</td>\n",
-              "      <td>424.0</td>\n",
-              "      <td>1.01</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>beta[UK, Austria]</th>\n",
-              "      <td>0.045</td>\n",
-              "      <td>0.042</td>\n",
-              "      <td>0.000</td>\n",
-              "      <td>0.122</td>\n",
-              "      <td>0.001</td>\n",
-              "      <td>0.001</td>\n",
-              "      <td>1057.0</td>\n",
-              "      <td>815.0</td>\n",
-              "      <td>1.00</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>beta[UK, Belgium]</th>\n",
-              "      <td>0.050</td>\n",
-              "      <td>0.046</td>\n",
-              "      <td>0.000</td>\n",
-              "      <td>0.131</td>\n",
-              "      <td>0.001</td>\n",
-              "      <td>0.001</td>\n",
-              "      <td>886.0</td>\n",
-              "      <td>589.0</td>\n",
-              "      <td>1.00</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>beta[UK, Canada]</th>\n",
-              "      <td>0.039</td>\n",
-              "      <td>0.022</td>\n",
-              "      <td>0.000</td>\n",
-              "      <td>0.076</td>\n",
-              "      <td>0.001</td>\n",
-              "      <td>0.001</td>\n",
-              "      <td>486.0</td>\n",
-              "      <td>536.0</td>\n",
-              "      <td>1.00</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>beta[UK, Denmark]</th>\n",
-              "      <td>0.086</td>\n",
-              "      <td>0.062</td>\n",
-              "      <td>0.000</td>\n",
-              "      <td>0.196</td>\n",
-              "      <td>0.002</td>\n",
-              "      <td>0.001</td>\n",
-              "      <td>681.0</td>\n",
-              "      <td>668.0</td>\n",
-              "      <td>1.00</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>beta[UK, Finland]</th>\n",
-              "      <td>0.041</td>\n",
-              "      <td>0.038</td>\n",
-              "      <td>0.000</td>\n",
-              "      <td>0.110</td>\n",
-              "      <td>0.001</td>\n",
-              "      <td>0.001</td>\n",
-              "      <td>380.0</td>\n",
-              "      <td>300.0</td>\n",
-              "      <td>1.01</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>beta[UK, France]</th>\n",
-              "      <td>0.030</td>\n",
-              "      <td>0.027</td>\n",
-              "      <td>0.000</td>\n",
-              "      <td>0.081</td>\n",
-              "      <td>0.001</td>\n",
-              "      <td>0.001</td>\n",
-              "      <td>832.0</td>\n",
-              "      <td>768.0</td>\n",
-              "      <td>1.00</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>beta[UK, Germany]</th>\n",
-              "      <td>0.026</td>\n",
-              "      <td>0.024</td>\n",
-              "      <td>0.000</td>\n",
-              "      <td>0.069</td>\n",
-              "      <td>0.001</td>\n",
-              "      <td>0.001</td>\n",
-              "      <td>922.0</td>\n",
-              "      <td>1269.0</td>\n",
-              "      <td>1.00</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>beta[UK, Iceland]</th>\n",
-              "      <td>0.153</td>\n",
-              "      <td>0.040</td>\n",
-              "      <td>0.076</td>\n",
-              "      <td>0.227</td>\n",
-              "      <td>0.001</td>\n",
-              "      <td>0.001</td>\n",
-              "      <td>866.0</td>\n",
-              "      <td>1159.0</td>\n",
-              "      <td>1.01</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>beta[UK, Luxemburg]</th>\n",
-              "      <td>0.051</td>\n",
-              "      <td>0.045</td>\n",
-              "      <td>0.000</td>\n",
-              "      <td>0.133</td>\n",
-              "      <td>0.001</td>\n",
-              "      <td>0.001</td>\n",
-              "      <td>787.0</td>\n",
-              "      <td>647.0</td>\n",
-              "      <td>1.00</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>beta[UK, Netherlands]</th>\n",
-              "      <td>0.049</td>\n",
-              "      <td>0.044</td>\n",
-              "      <td>0.000</td>\n",
-              "      <td>0.132</td>\n",
-              "      <td>0.001</td>\n",
-              "      <td>0.001</td>\n",
-              "      <td>745.0</td>\n",
-              "      <td>907.0</td>\n",
-              "      <td>1.01</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>beta[UK, New_Zealand]</th>\n",
-              "      <td>0.064</td>\n",
-              "      <td>0.053</td>\n",
-              "      <td>0.000</td>\n",
-              "      <td>0.162</td>\n",
-              "      <td>0.002</td>\n",
-              "      <td>0.001</td>\n",
-              "      <td>818.0</td>\n",
-              "      <td>1000.0</td>\n",
-              "      <td>1.00</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>beta[UK, Norway]</th>\n",
-              "      <td>0.084</td>\n",
-              "      <td>0.043</td>\n",
-              "      <td>0.007</td>\n",
-              "      <td>0.158</td>\n",
-              "      <td>0.002</td>\n",
-              "      <td>0.001</td>\n",
-              "      <td>567.0</td>\n",
-              "      <td>718.0</td>\n",
-              "      <td>1.01</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>beta[UK, Sweden]</th>\n",
-              "      <td>0.098</td>\n",
-              "      <td>0.031</td>\n",
-              "      <td>0.038</td>\n",
-              "      <td>0.156</td>\n",
-              "      <td>0.001</td>\n",
-              "      <td>0.001</td>\n",
-              "      <td>594.0</td>\n",
-              "      <td>302.0</td>\n",
-              "      <td>1.01</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>beta[UK, Switzerland]</th>\n",
-              "      <td>0.065</td>\n",
-              "      <td>0.055</td>\n",
-              "      <td>0.000</td>\n",
-              "      <td>0.166</td>\n",
-              "      <td>0.001</td>\n",
-              "      <td>0.001</td>\n",
-              "      <td>4595.0</td>\n",
-              "      <td>2657.0</td>\n",
-              "      <td>1.00</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>y_hat_sigma[UK]</th>\n",
-              "      <td>0.031</td>\n",
-              "      <td>0.005</td>\n",
-              "      <td>0.022</td>\n",
-              "      <td>0.039</td>\n",
-              "      <td>0.000</td>\n",
-              "      <td>0.000</td>\n",
-              "      <td>922.0</td>\n",
-              "      <td>1645.0</td>\n",
-              "      <td>1.01</td>\n",
-              "    </tr>\n",
-              "  </tbody>\n",
-              "</table>\n",
-              "</div>"
-            ],
-            "text/plain": [
-              "                        mean     sd  hdi_3%  hdi_97%  mcse_mean  mcse_sd  \\\n",
-              "beta[UK, Australia]    0.120  0.073   0.000    0.241      0.003    0.001   \n",
-              "beta[UK, Austria]      0.045  0.042   0.000    0.122      0.001    0.001   \n",
-              "beta[UK, Belgium]      0.050  0.046   0.000    0.131      0.001    0.001   \n",
-              "beta[UK, Canada]       0.039  0.022   0.000    0.076      0.001    0.001   \n",
-              "beta[UK, Denmark]      0.086  0.062   0.000    0.196      0.002    0.001   \n",
-              "beta[UK, Finland]      0.041  0.038   0.000    0.110      0.001    0.001   \n",
-              "beta[UK, France]       0.030  0.027   0.000    0.081      0.001    0.001   \n",
-              "beta[UK, Germany]      0.026  0.024   0.000    0.069      0.001    0.001   \n",
-              "beta[UK, Iceland]      0.153  0.040   0.076    0.227      0.001    0.001   \n",
-              "beta[UK, Luxemburg]    0.051  0.045   0.000    0.133      0.001    0.001   \n",
-              "beta[UK, Netherlands]  0.049  0.044   0.000    0.132      0.001    0.001   \n",
-              "beta[UK, New_Zealand]  0.064  0.053   0.000    0.162      0.002    0.001   \n",
-              "beta[UK, Norway]       0.084  0.043   0.007    0.158      0.002    0.001   \n",
-              "beta[UK, Sweden]       0.098  0.031   0.038    0.156      0.001    0.001   \n",
-              "beta[UK, Switzerland]  0.065  0.055   0.000    0.166      0.001    0.001   \n",
-              "y_hat_sigma[UK]        0.031  0.005   0.022    0.039      0.000    0.000   \n",
-              "\n",
-              "                       ess_bulk  ess_tail  r_hat  \n",
-              "beta[UK, Australia]       489.0     424.0   1.01  \n",
-              "beta[UK, Austria]        1057.0     815.0   1.00  \n",
-              "beta[UK, Belgium]         886.0     589.0   1.00  \n",
-              "beta[UK, Canada]          486.0     536.0   1.00  \n",
-              "beta[UK, Denmark]         681.0     668.0   1.00  \n",
-              "beta[UK, Finland]         380.0     300.0   1.01  \n",
-              "beta[UK, France]          832.0     768.0   1.00  \n",
-              "beta[UK, Germany]         922.0    1269.0   1.00  \n",
-              "beta[UK, Iceland]         866.0    1159.0   1.01  \n",
-              "beta[UK, Luxemburg]       787.0     647.0   1.00  \n",
-              "beta[UK, Netherlands]     745.0     907.0   1.01  \n",
-              "beta[UK, New_Zealand]     818.0    1000.0   1.00  \n",
-              "beta[UK, Norway]          567.0     718.0   1.01  \n",
-              "beta[UK, Sweden]          594.0     302.0   1.01  \n",
-              "beta[UK, Switzerland]    4595.0    2657.0   1.00  \n",
-              "y_hat_sigma[UK]           922.0    1645.0   1.01  "
-            ]
-          },
-          "metadata": {},
-          "execution_count": null
-        }
+      "text/plain": [
+       "                mean    median  hdi_lower  hdi_upper  p_gt_0  relative_mean  \\\n",
+       "average    -0.178269 -0.179141  -0.226035  -0.129242     0.0      -3.163391   \n",
+       "cumulative -4.100194 -4.120234  -5.198808  -2.972572     0.0      -3.163391   \n",
+       "\n",
+       "            relative_hdi_lower  relative_hdi_upper  \n",
+       "average              -3.979627           -2.314919  \n",
+       "cumulative           -3.979627           -2.314920  "
       ]
-    },
+     },
+     "execution_count": null,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Generate effect summary for the full post-period\n",
+    "stats = result.effect_summary()\n",
+    "stats.table"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-28T22:18:04.705624Z",
+     "iopub.status.busy": "2026-02-28T22:18:04.705561Z",
+     "iopub.status.idle": "2026-02-28T22:18:04.722261Z",
+     "shell.execute_reply": "2026-02-28T22:18:04.721954Z"
+    }
+   },
+   "outputs": [
     {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "You can inspect the traces in more detail with:\n",
-        "\n",
-        "```python\n",
-        "az.plot_trace(result.idata, var_names=\"~mu\", compact=False);\n",
-        "```"
-      ]
-    },
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "During the Post-period (2016-07-01 00:00:00 to 2022-01-01 00:00:00), the response variable had an average value of approx. 5.45. By contrast, in the absence of an intervention, we would have expected an average response of 5.63. The 95% interval of this counterfactual prediction is [5.58, 5.68]. Subtracting this prediction from the observed response yields an estimate of the causal effect the intervention had on the response variable. This effect is -0.18 with a 95% interval of [-0.23, -0.13].\n",
+      "\n",
+      "Summing up the individual data points during the Post-period, the response variable had an overall value of 125.44. By contrast, had the intervention not taken place, we would have expected a sum of 129.54. The 95% interval of this prediction is [128.41, 130.64].\n",
+      "\n",
+      "The 95% HDI of the effect [-0.23, -0.13] does not include zero. The posterior probability of a decrease is 1.000. Relative to the counterfactual, the effect represents a -3.16% change (95% HDI [-3.98%, -2.31%]).\n",
+      "\n",
+      "This analysis assumes that the control units used to construct the synthetic counterfactual were not themselves affected by the intervention, and that the pre-treatment relationship between control and treated units remains stable throughout the post-treatment period. We recommend inspecting model fit, examining pre-intervention trends, and conducting sensitivity analyses (e.g., placebo tests) to support any causal conclusions drawn from this analysis.\n"
+     ]
+    }
+   ],
+   "source": [
+    "# View the prose summary\n",
+    "print(stats.text)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-28T22:18:04.723290Z",
+     "iopub.status.busy": "2026-02-28T22:18:04.723223Z",
+     "iopub.status.idle": "2026-02-28T22:18:04.747550Z",
+     "shell.execute_reply": "2026-02-28T22:18:04.747182Z"
+    }
+   },
+   "outputs": [
     {
-      "cell_type": "code",
-      "metadata": {
-        "execution": {
-          "iopub.execute_input": "2026-02-28T22:18:04.361284Z",
-          "iopub.status.busy": "2026-02-28T22:18:04.361215Z",
-          "iopub.status.idle": "2026-02-28T22:18:04.648110Z",
-          "shell.execute_reply": "2026-02-28T22:18:04.647794Z"
-        }
+     "data": {
+      "application/vnd.positron.dataexplorer+json": {
+       "comm_id": "79d357fe-df1d-4e67-acbd-a1577b9e605a",
+       "shape": {
+        "columns": 8,
+        "rows": 2
+       },
+       "source": "pandas",
+       "title": "pandas",
+       "version": 1
       },
-      "source": [
-        "az.style.use(\"arviz-darkgrid\")\n",
-        "\n",
-        "fig, ax = result.plot(plot_predictors=False)\n",
-        "\n",
-        "for i in [0, 1, 2]:\n",
-        "    ax[i].set(ylabel=\"Trillion USD\")"
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>mean</th>\n",
+       "      <th>median</th>\n",
+       "      <th>hdi_lower</th>\n",
+       "      <th>hdi_upper</th>\n",
+       "      <th>p_gt_0</th>\n",
+       "      <th>relative_mean</th>\n",
+       "      <th>relative_hdi_lower</th>\n",
+       "      <th>relative_hdi_upper</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>average</th>\n",
+       "      <td>-0.021130</td>\n",
+       "      <td>-0.021788</td>\n",
+       "      <td>-0.060531</td>\n",
+       "      <td>0.021669</td>\n",
+       "      <td>0.1605</td>\n",
+       "      <td>-0.388053</td>\n",
+       "      <td>-1.108026</td>\n",
+       "      <td>0.40271</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>cumulative</th>\n",
+       "      <td>-0.084521</td>\n",
+       "      <td>-0.087150</td>\n",
+       "      <td>-0.242124</td>\n",
+       "      <td>0.086675</td>\n",
+       "      <td>0.1605</td>\n",
+       "      <td>-0.388053</td>\n",
+       "      <td>-1.108026</td>\n",
+       "      <td>0.40271</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
       ],
-      "execution_count": 13,
-      "outputs": [
-        {
-          "output_type": "display_data",
-          "data": {
-            "image/png": "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",
-            "text/plain": [
-              "<Figure size 700x800 with 3 Axes>"
-            ]
-          },
-          "metadata": {}
-        }
+      "text/plain": [
+       "                mean    median  hdi_lower  hdi_upper  p_gt_0  relative_mean  \\\n",
+       "average    -0.021130 -0.021788  -0.060531   0.021669  0.1605      -0.388053   \n",
+       "cumulative -0.084521 -0.087150  -0.242124   0.086675  0.1605      -0.388053   \n",
+       "\n",
+       "            relative_hdi_lower  relative_hdi_upper  \n",
+       "average              -1.108026             0.40271  \n",
+       "cumulative           -1.108026             0.40271  "
       ]
+     },
+     "execution_count": null,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# You can also analyze a specific time window, e.g., the first year after Brexit\n",
+    "stats_window = result.effect_summary(\n",
+    "    window=(pd.to_datetime(\"2016-06-24\"), pd.to_datetime(\"2017-06-24\"))\n",
+    ")\n",
+    "stats_window.table"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Understanding the Convex Hull Assumption\n",
+    "\n",
+    "The synthetic control method relies on a fundamental mathematical constraint that is important to understand.\n",
+    "\n",
+    "### The Mathematical Constraint\n",
+    "\n",
+    "In synthetic control, we construct a counterfactual as a weighted combination of control units:\n",
+    "\n",
+    "$$\\mu_t = \\sum_{i=1}^{n} \\beta_i x_{it}$$\n",
+    "\n",
+    "where the weights satisfy:\n",
+    "- **Non-negativity**: $\\beta_i \\geq 0$ for all $i$\n",
+    "- **Sum-to-one**: $\\sum_{i=1}^{n} \\beta_i = 1$\n",
+    "\n",
+    "These constraints mean our synthetic control is a **convex combination** of the control units. By definition, a convex combination can only produce values within the **convex hull** of the input points—mathematically, it cannot extrapolate beyond the range of the control units.\n",
+    "\n",
+    "### What This Means in Practice\n",
+    "\n",
+    "At each time point, the synthetic control value must lie between the minimum and maximum of the control units:\n",
+    "\n",
+    "$$\\min_i(x_{it}) \\leq \\mu_t \\leq \\max_i(x_{it})$$\n",
+    "\n",
+    "This is a **necessary condition** for the method to work. If the treated unit's pre-intervention values fall outside this range—either consistently above all controls or consistently below all controls—no valid convex combination can match the treated trajectory.\n",
+    "\n",
+    "### Checking the Assumption\n",
+    "\n",
+    "CausalPy automatically checks this assumption when you fit a synthetic control model. Let's visualize what this looks like with our Brexit data:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-28T22:18:04.748738Z",
+     "iopub.status.busy": "2026-02-28T22:18:04.748664Z",
+     "iopub.status.idle": "2026-02-28T22:18:04.853048Z",
+     "shell.execute_reply": "2026-02-28T22:18:04.852725Z"
     },
+    "tags": [
+     "hide-input"
+    ]
+   },
+   "outputs": [
     {
-      "cell_type": "code",
-      "metadata": {
-        "execution": {
-          "iopub.execute_input": "2026-02-28T22:18:04.649414Z",
-          "iopub.status.busy": "2026-02-28T22:18:04.649334Z",
-          "iopub.status.idle": "2026-02-28T22:18:04.677655Z",
-          "shell.execute_reply": "2026-02-28T22:18:04.677372Z"
-        }
-      },
-      "source": [
-        "result.summary()"
-      ],
-      "execution_count": 14,
-      "outputs": [
-        {
-          "output_type": "stream",
-          "text": [
-            "================================SyntheticControl================================\n",
-            "Control units: ['Australia', 'Austria', 'Belgium', 'Canada', 'Denmark', 'Finland', 'France', 'Germany', 'Iceland', 'Luxemburg', 'Netherlands', 'New_Zealand', 'Norway', 'Sweden', 'Switzerland']\n",
-            "Treated unit: UK\n",
-            "Model coefficients:\n",
-            "    Australia    0.12, 94% HDI [0.0073, 0.26]\n",
-            "    Austria      0.045, 94% HDI [0.0014, 0.15]\n",
-            "    Belgium      0.05, 94% HDI [0.0014, 0.16]\n",
-            "    Canada       0.039, 94% HDI [0.0039, 0.084]\n",
-            "    Denmark      0.086, 94% HDI [0.0039, 0.22]\n",
-            "    Finland      0.041, 94% HDI [0.00097, 0.14]\n",
-            "    France       0.03, 94% HDI [0.0011, 0.094]\n",
-            "    Germany      0.026, 94% HDI [0.0012, 0.083]\n",
-            "    Iceland      0.15, 94% HDI [0.078, 0.23]\n",
-            "    Luxemburg    0.051, 94% HDI [0.0016, 0.16]\n",
-            "    Netherlands  0.049, 94% HDI [0.0022, 0.16]\n",
-            "    New_Zealand  0.064, 94% HDI [0.0021, 0.19]\n",
-            "    Norway       0.084, 94% HDI [0.012, 0.17]\n",
-            "    Sweden       0.098, 94% HDI [0.037, 0.15]\n",
-            "    Switzerland  0.065, 94% HDI [0.0026, 0.2]\n",
-            "    y_hat_sigma  0.031, 94% HDI [0.023, 0.04]\n",
-            "Pre-treatment correlation (UK): 0.9927\n"
-          ],
-          "name": "stdout"
-        }
-      ]
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "<positron-console-cell-18>:82: UserWarning: The figure layout has changed to tight\n"
+     ]
     },
     {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "## Effect Summary Reporting\n",
-        "\n",
-        "For decision-making, you often need a concise summary of the causal effect with key statistics. The `effect_summary()` method provides a decision-ready report with average and cumulative effects, HDI intervals, tail probabilities, and relative effects. This provides a comprehensive summary without manual post-processing.\n"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "metadata": {
-        "execution": {
-          "iopub.execute_input": "2026-02-28T22:18:04.679066Z",
-          "iopub.status.busy": "2026-02-28T22:18:04.678988Z",
-          "iopub.status.idle": "2026-02-28T22:18:04.704555Z",
-          "shell.execute_reply": "2026-02-28T22:18:04.704199Z"
-        }
-      },
-      "source": [
-        "# Generate effect summary for the full post-period\n",
-        "stats = result.effect_summary()\n",
-        "stats.table"
-      ],
-      "execution_count": 15,
-      "outputs": [
-        {
-          "output_type": "execute_result",
-          "data": {
-            "text/html": [
-              "<div>\n",
-              "<style scoped>\n",
-              "    .dataframe tbody tr th:only-of-type {\n",
-              "        vertical-align: middle;\n",
-              "    }\n",
-              "\n",
-              "    .dataframe tbody tr th {\n",
-              "        vertical-align: top;\n",
-              "    }\n",
-              "\n",
-              "    .dataframe thead th {\n",
-              "        text-align: right;\n",
-              "    }\n",
-              "</style>\n",
-              "<table border=\"1\" class=\"dataframe\">\n",
-              "  <thead>\n",
-              "    <tr style=\"text-align: right;\">\n",
-              "      <th></th>\n",
-              "      <th>mean</th>\n",
-              "      <th>median</th>\n",
-              "      <th>hdi_lower</th>\n",
-              "      <th>hdi_upper</th>\n",
-              "      <th>p_gt_0</th>\n",
-              "      <th>relative_mean</th>\n",
-              "      <th>relative_hdi_lower</th>\n",
-              "      <th>relative_hdi_upper</th>\n",
-              "    </tr>\n",
-              "  </thead>\n",
-              "  <tbody>\n",
-              "    <tr>\n",
-              "      <th>average</th>\n",
-              "      <td>-0.176440</td>\n",
-              "      <td>-0.177094</td>\n",
-              "      <td>-0.223437</td>\n",
-              "      <td>-0.123983</td>\n",
-              "      <td>0.0</td>\n",
-              "      <td>-3.131885</td>\n",
-              "      <td>-3.935682</td>\n",
-              "      <td>-2.222815</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>cumulative</th>\n",
-              "      <td>-4.058127</td>\n",
-              "      <td>-4.073160</td>\n",
-              "      <td>-5.139048</td>\n",
-              "      <td>-2.851613</td>\n",
-              "      <td>0.0</td>\n",
-              "      <td>-3.131885</td>\n",
-              "      <td>-3.935682</td>\n",
-              "      <td>-2.222815</td>\n",
-              "    </tr>\n",
-              "  </tbody>\n",
-              "</table>\n",
-              "</div>"
-            ],
-            "text/plain": [
-              "                mean    median  hdi_lower  hdi_upper  p_gt_0  relative_mean  \\\n",
-              "average    -0.176440 -0.177094  -0.223437  -0.123983     0.0      -3.131885   \n",
-              "cumulative -4.058127 -4.073160  -5.139048  -2.851613     0.0      -3.131885   \n",
-              "\n",
-              "            relative_hdi_lower  relative_hdi_upper  \n",
-              "average              -3.935682           -2.222815  \n",
-              "cumulative           -3.935682           -2.222815  "
-            ]
-          },
-          "metadata": {},
-          "execution_count": null
-        }
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 1000x600 with 1 Axes>"
       ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "# Extract pre-intervention data\n",
+    "pre_data = df[df.index < treatment_time]\n",
+    "\n",
+    "# Get control and treated series\n",
+    "control_countries = [\n",
+    "    \"Australia\",\n",
+    "    \"Belgium\",\n",
+    "    \"Canada\",\n",
+    "    \"Denmark\",\n",
+    "    \"France\",\n",
+    "    \"Germany\",\n",
+    "    # \"Italy\",\n",
+    "    # \"Japan\",\n",
+    "    \"Netherlands\",\n",
+    "    \"Norway\",\n",
+    "    \"Sweden\",\n",
+    "    \"Switzerland\",\n",
+    "    # \"USA\",\n",
+    "]\n",
+    "treated_country = \"UK\"\n",
+    "\n",
+    "# Calculate control envelope\n",
+    "control_min = pre_data[control_countries].min(axis=1)\n",
+    "control_max = pre_data[control_countries].max(axis=1)\n",
+    "\n",
+    "# Create visualization\n",
+    "fig, ax = plt.subplots(figsize=(10, 6))\n",
+    "\n",
+    "# Plot control envelope as shaded region\n",
+    "ax.fill_between(\n",
+    "    pre_data.index,\n",
+    "    control_min,\n",
+    "    control_max,\n",
+    "    alpha=0.3,\n",
+    "    color=\"C0\",\n",
+    "    label=\"Control unit range (convex hull)\",\n",
+    ")\n",
+    "\n",
+    "# Plot treated series\n",
+    "ax.plot(\n",
+    "    pre_data.index,\n",
+    "    pre_data[treated_country],\n",
+    "    \"ko-\",\n",
+    "    linewidth=2,\n",
+    "    markersize=4,\n",
+    "    label=\"United Kingdom (treated)\",\n",
+    ")\n",
+    "\n",
+    "# Highlight any violations\n",
+    "above = pre_data[treated_country] > control_max\n",
+    "below = pre_data[treated_country] < control_min\n",
+    "\n",
+    "if above.any():\n",
+    "    ax.scatter(\n",
+    "        pre_data.index[above],\n",
+    "        pre_data[treated_country][above],\n",
+    "        color=\"red\",\n",
+    "        s=100,\n",
+    "        marker=\"x\",\n",
+    "        zorder=5,\n",
+    "        label=\"Points above control range\",\n",
+    "    )\n",
+    "\n",
+    "if below.any():\n",
+    "    ax.scatter(\n",
+    "        pre_data.index[below],\n",
+    "        pre_data[treated_country][below],\n",
+    "        color=\"orange\",\n",
+    "        s=100,\n",
+    "        marker=\"x\",\n",
+    "        zorder=5,\n",
+    "        label=\"Points below control range\",\n",
+    "    )\n",
+    "\n",
+    "ax.set_xlabel(\"Year\")\n",
+    "ax.set_ylabel(\"GDP per capita (% of 1997 Q1)\")\n",
+    "ax.set_title(\"Checking Convex Hull Assumption: Pre-Intervention Period\")\n",
+    "ax.legend(loc=\"upper left\")\n",
+    "ax.grid(True, alpha=0.3)\n",
+    "plt.tight_layout()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-28T22:18:04.854347Z",
+     "iopub.status.busy": "2026-02-28T22:18:04.854262Z",
+     "iopub.status.idle": "2026-02-28T22:18:04.871586Z",
+     "shell.execute_reply": "2026-02-28T22:18:04.871216Z"
     },
+    "tags": [
+     "hide-input"
+    ]
+   },
+   "outputs": [
     {
-      "cell_type": "code",
-      "metadata": {
-        "execution": {
-          "iopub.execute_input": "2026-02-28T22:18:04.705624Z",
-          "iopub.status.busy": "2026-02-28T22:18:04.705561Z",
-          "iopub.status.idle": "2026-02-28T22:18:04.722261Z",
-          "shell.execute_reply": "2026-02-28T22:18:04.721954Z"
-        }
-      },
-      "source": [
-        "# View the prose summary\n",
-        "print(stats.text)"
-      ],
-      "execution_count": 16,
-      "outputs": [
-        {
-          "output_type": "stream",
-          "text": [
-            "During the post-period (2016-07-01 00:00:00 to 2022-01-01 00:00:00), the response variable had an average value of approx. 5.45. By contrast, in the absence of an intervention, we would have expected an average response of 5.63. The 95% interval of this counterfactual prediction is [5.58, 5.68]. Subtracting this prediction from the observed response yields an estimate of the causal effect the intervention had on the response variable. This effect is -0.18 with a 95% interval of [-0.22, -0.12].\n",
-            "\n",
-            "Summing up the individual data points during the post-period, the response variable had an overall value of 125.44. By contrast, had the intervention not taken place, we would have expected a sum of 129.49. The 95% interval of this prediction is [128.29, 130.58].\n",
-            "\n",
-            "The 95% HDI of the effect [-0.22, -0.12] does not include zero. The posterior probability of a decrease is 1.000. Relative to the counterfactual, the effect represents a -3.13% change (95% HDI [-3.94%, -2.22%]).\n",
-            "\n",
-            "This analysis assumes that the control units used to construct the synthetic counterfactual were not themselves affected by the intervention, and that the pre-treatment relationship between control and treated units remains stable throughout the post-treatment period. We recommend inspecting model fit, examining pre-intervention trends, and conducting sensitivity analyses (e.g., placebo tests) to support any causal conclusions drawn from this analysis.\n"
-          ],
-          "name": "stdout"
-        }
-      ]
-    },
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "✓ Convex hull assumption satisfied: All treated values within control range\n"
+     ]
+    }
+   ],
+   "source": [
+    "n_violations = above.sum() + below.sum()\n",
+    "if n_violations > 0:\n",
+    "    print(f\"⚠️  Warning: {n_violations} time points outside control range\")\n",
+    "    print(\n",
+    "        f\"   - {above.sum()} points above control range ({100 * above.sum() / len(pre_data):.1f}%)\"\n",
+    "    )\n",
+    "    print(\n",
+    "        f\"   - {below.sum()} points below control range ({100 * below.sum() / len(pre_data):.1f}%)\"\n",
+    "    )\n",
+    "else:\n",
+    "    print(\"✓ Convex hull assumption satisfied: All treated values within control range\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Interpreting the Results\n",
+    "\n",
+    "For this Brexit analysis:\n",
+    "\n",
+    "- **Good fit**: The UK's pre-Brexit GDP trajectory lies mostly within the range of control countries, suggesting the convex hull assumption is reasonably satisfied.\n",
+    "- **High R²**: The strong pre-intervention fit (R² ≈ 0.97) we saw earlier confirms that a convex combination of control countries can indeed approximate the UK's trajectory.\n",
+    "\n",
+    "### When the Assumption is Violated\n",
+    "\n",
+    "If you see many points outside the shaded region, this indicates potential problems:\n",
+    "\n",
+    "1. **Poor counterfactual quality**: The synthetic control cannot accurately match the treated unit's pre-intervention trajectory\n",
+    "2. **Biased effect estimates**: The treatment effect estimates may be unreliable\n",
+    "3. **Invalid inference**: Confidence/credible intervals may not have correct coverage\n",
+    "\n",
+    "### What to Do if Violated\n",
+    "\n",
+    "Several alternatives exist when the convex hull assumption is violated:\n",
+    "\n",
+    "1. **Add more diverse control units**: Include countries/units with different characteristics that better span the range of the treated unit\n",
+    "\n",
+    "2. **Consider use of Augmented Synthetic Control Method**: This method {cite:p}`benmichael2021augmented` relaxes the convex hull assumption\n",
+    "\n",
+    "3. **Consider use of {term}`Comparative interrupted time-series`**: With an intercept term, this approach can handle systematic differences in levels between treated and control units\n",
+    "\n",
+    "### Key Takeaway\n",
+    "\n",
+    "The {term}`convex hull condition` is a fundamental requirement for synthetic control methods. Always check this assumption using visualizations like the one above or by examining the warnings CausalPy provides. For more details, see {cite:t}`abadie2010synthetic`."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Custom priors\n",
+    "\n",
+    "The analysis above is all based upon the default priors for the `WeightedSumFitter` class. But this might not always be appropriate. In particular the default Priors are [Dirichlet distributed](https://en.wikipedia.org/wiki/Dirichlet_distribution) with an alpha parameter of 1. This corresponds to a uniform prior over the simplex.\n",
+    "\n",
+    "But we might have different prior beliefs. For example, we might think that some control units will play a larger role and some control units will be irrelevant. In which case, we could use as less concentrated prior, such as $\\mathrm{Dirichlet}(0.1)$.\n",
+    "\n",
+    "We can do this in the code below."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-28T22:18:04.872709Z",
+     "iopub.status.busy": "2026-02-28T22:18:04.872639Z",
+     "iopub.status.idle": "2026-02-28T22:19:25.013351Z",
+     "shell.execute_reply": "2026-02-28T22:19:25.012930Z"
+    }
+   },
+   "outputs": [
     {
-      "cell_type": "code",
-      "metadata": {
-        "execution": {
-          "iopub.execute_input": "2026-02-28T22:18:04.723290Z",
-          "iopub.status.busy": "2026-02-28T22:18:04.723223Z",
-          "iopub.status.idle": "2026-02-28T22:18:04.747550Z",
-          "shell.execute_reply": "2026-02-28T22:18:04.747182Z"
-        }
-      },
-      "source": [
-        "# You can also analyze a specific time window, e.g., the first year after Brexit\n",
-        "stats_window = result.effect_summary(\n",
-        "    window=(pd.to_datetime(\"2016-06-24\"), pd.to_datetime(\"2017-06-24\"))\n",
-        ")\n",
-        "stats_window.table"
-      ],
-      "execution_count": 17,
-      "outputs": [
-        {
-          "output_type": "execute_result",
-          "data": {
-            "text/html": [
-              "<div>\n",
-              "<style scoped>\n",
-              "    .dataframe tbody tr th:only-of-type {\n",
-              "        vertical-align: middle;\n",
-              "    }\n",
-              "\n",
-              "    .dataframe tbody tr th {\n",
-              "        vertical-align: top;\n",
-              "    }\n",
-              "\n",
-              "    .dataframe thead th {\n",
-              "        text-align: right;\n",
-              "    }\n",
-              "</style>\n",
-              "<table border=\"1\" class=\"dataframe\">\n",
-              "  <thead>\n",
-              "    <tr style=\"text-align: right;\">\n",
-              "      <th></th>\n",
-              "      <th>mean</th>\n",
-              "      <th>median</th>\n",
-              "      <th>hdi_lower</th>\n",
-              "      <th>hdi_upper</th>\n",
-              "      <th>p_gt_0</th>\n",
-              "      <th>relative_mean</th>\n",
-              "      <th>relative_hdi_lower</th>\n",
-              "      <th>relative_hdi_upper</th>\n",
-              "    </tr>\n",
-              "  </thead>\n",
-              "  <tbody>\n",
-              "    <tr>\n",
-              "      <th>average</th>\n",
-              "      <td>-0.019805</td>\n",
-              "      <td>-0.020350</td>\n",
-              "      <td>-0.058699</td>\n",
-              "      <td>0.026280</td>\n",
-              "      <td>0.17525</td>\n",
-              "      <td>-0.363716</td>\n",
-              "      <td>-1.074848</td>\n",
-              "      <td>0.488819</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>cumulative</th>\n",
-              "      <td>-0.079221</td>\n",
-              "      <td>-0.081401</td>\n",
-              "      <td>-0.234795</td>\n",
-              "      <td>0.105119</td>\n",
-              "      <td>0.17525</td>\n",
-              "      <td>-0.363716</td>\n",
-              "      <td>-1.074848</td>\n",
-              "      <td>0.488819</td>\n",
-              "    </tr>\n",
-              "  </tbody>\n",
-              "</table>\n",
-              "</div>"
-            ],
-            "text/plain": [
-              "                mean    median  hdi_lower  hdi_upper   p_gt_0  relative_mean  \\\n",
-              "average    -0.019805 -0.020350  -0.058699   0.026280  0.17525      -0.363716   \n",
-              "cumulative -0.079221 -0.081401  -0.234795   0.105119  0.17525      -0.363716   \n",
-              "\n",
-              "            relative_hdi_lower  relative_hdi_upper  \n",
-              "average              -1.074848            0.488819  \n",
-              "cumulative           -1.074848            0.488819  "
-            ]
-          },
-          "metadata": {},
-          "execution_count": null
-        }
-      ]
-    },
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Initializing NUTS using jitter+adapt_diag...\n",
+      "Multiprocess sampling (4 chains in 4 jobs)\n",
+      "NUTS: [beta, y_hat_sigma]\n",
+      "\u001b[?25l                                                                                \n",
+      " \u001b[1m          \u001b[0m \u001b[1m      \u001b[0m \u001b[1m          \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep    \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m       \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgress\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverge…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize    \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemain…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   0      0         0.000     0          0.00      0:00:00   -:--:--   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   0      0         0.000     0          0.00      0:00:00   -:--:--   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   0      0         0.000     0          0.00      0:00:00   -:--:--   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   0      0         0.000     0          0.00      0:00:00   -:--:--   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   0      0         0.000     0          0.00      0:00:00   -:--:--   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   0      0         0.000     0          0.00      0:00:00   -:--:--   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   0      0         0.000     0          0.00      0:00:00   -:--:--   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   0      0         0.000     0          0.00      0:00:00   -:--:--   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   0      0         0.000     0          0.00      0:00:00   -:--:--   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   0      0         0.000     0          0.00      0:00:00   -:--:--   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   36     0         0.001     255        390.34    0:00:00   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   4      0         0.001     255        53.01     0:00:00   0:00:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   7      0         0.002     255        75.87     0:00:00   0:00:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   8      0         0.002     255        109.01    0:00:00   0:00:17   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   41     0         0.002     255        195.55    0:00:00   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   9      0         0.001     255        45.91     0:00:00   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   12     0         0.002     255        57.88     0:00:00   0:00:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   13     0         0.002     255        66.08     0:00:00   0:00:31   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   46     0         0.002     255        139.45    0:00:00   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   14     0         0.001     255        43.53     0:00:00   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   16     0         0.002     255        51.91     0:00:00   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   17     0         0.002     255        56.91     0:00:00   0:00:36   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   50     0         0.003     255        116.87    0:00:00   0:00:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   19     0         0.001     255        42.91     0:00:00   0:00:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   21     0         0.003     255        48.22     0:00:00   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   22     0         0.002     255        51.85     0:00:00   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   55     0         0.003     255        99.36     0:00:00   0:00:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   23     0         0.002     255        42.30     0:00:00   0:00:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   25     0         0.004     255        46.53     0:00:00   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   26     0         0.002     255        48.98     0:00:00   0:00:41   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   59     0         0.003     255        89.76     0:00:00   0:00:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   27     0         0.002     255        41.63     0:00:00   0:00:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   30     0         0.002     255        46.03     0:00:00   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   30     0         0.001     255        47.05     0:00:00   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   64     0         0.004     255        83.17     0:00:00   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   33     0         0.003     255        42.19     0:00:00   0:00:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   35     0         0.001     255        45.98     0:00:00   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   36     0         0.001     255        46.65     0:00:00   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   69     0         0.005     255        78.18     0:00:00   0:00:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   38     0         0.004     255        42.57     0:00:00   0:00:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   40     0         0.001     255        45.91     0:00:00   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   41     0         0.001     255        46.44     0:00:00   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   74     0         0.004     255        74.31     0:00:01   0:00:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   43     0         0.004     255        42.85     0:00:01   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   45     0         0.001     255        45.65     0:00:01   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   46     0         0.001     255        46.30     0:00:00   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   80     0         0.004     255        71.44     0:00:01   0:00:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   48     0         0.003     255        43.25     0:00:01   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   51     0         0.001     255        45.89     0:00:01   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   51     0         0.001     255        46.55     0:00:01   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   84     0         0.002     255        69.08     0:00:01   0:00:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   52     0         0.004     255        42.82     0:00:01   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   55     0         0.001     255        45.53     0:00:01   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   55     0         0.001     255        45.90     0:00:01   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   88     0         0.002     255        66.49     0:00:01   0:00:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   56     0         0.004     255        42.44     0:00:01   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   59     0         0.001     255        44.69     0:00:01   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   60     0         0.001     255        45.13     0:00:01   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   93     0         0.003     255        64.33     0:00:01   0:00:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   61     0         0.003     255        42.36     0:00:01   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   63     0         0.001     255        44.28     0:00:01   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   64     0         0.001     255        44.77     0:00:01   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   98     0         0.002     255        63.31     0:00:01   0:00:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   66     0         0.003     255        42.57     0:00:01   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   68     0         0.001     255        44.25     0:00:01   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   69     0         0.001     255        44.76     0:00:01   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   104    0         0.002     255        62.13     0:00:01   0:00:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   71     0         0.004     255        42.95     0:00:01   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   74     0         0.001     255        44.51     0:00:01   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   74     0         0.001     255        44.97     0:00:01   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   109    0         0.001     255        61.15     0:00:01   0:00:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   77     0         0.003     255        43.37     0:00:01   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   79     0         0.001     255        44.73     0:00:01   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   79     0         0.001     255        45.10     0:00:01   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   114    0         0.001     255        60.36     0:00:01   0:00:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   82     0         0.002     255        43.65     0:00:01   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   85     0         0.001     255        44.99     0:00:01   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   85     0         0.001     255        45.35     0:00:01   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   119    0         0.001     255        59.56     0:00:02   0:00:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   88     0         0.003     255        43.94     0:00:02   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   90     0         0.000     255        45.19     0:00:02   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   91     0         0.001     255        45.62     0:00:01   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   125    0         0.002     255        59.04     0:00:02   0:00:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   93     0         0.003     255        44.11     0:00:02   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   95     0         0.001     255        45.39     0:00:02   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   96     0         0.001     255        45.79     0:00:02   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   130    0         0.001     255        58.46     0:00:02   0:00:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   98     0         0.003     255        44.30     0:00:02   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   100    0         0.000     255        45.45     0:00:02   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   101    0         0.001     255        45.83     0:00:02   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   134    0         0.001     255        57.79     0:00:02   0:00:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   103    0         0.003     255        44.19     0:00:02   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   105    0         0.001     255        45.23     0:00:02   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   106    0         0.001     255        45.72     0:00:02   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   139    0         0.002     255        56.94     0:00:02   0:00:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   107    0         0.003     255        43.99     0:00:02   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   109    0         0.001     255        45.02     0:00:02   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   110    0         0.001     255        45.52     0:00:02   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   144    0         0.002     255        56.19     0:00:02   0:00:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   111    0         0.004     255        43.76     0:00:02   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   114    0         0.001     255        44.75     0:00:02   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   115    0         0.001     255        45.24     0:00:02   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   148    0         0.002     255        55.56     0:00:02   0:00:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   117    0         0.001     255        43.85     0:00:02   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   118    0         0.001     255        44.49     0:00:02   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   119    0         0.002     255        44.94     0:00:02   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   153    0         0.002     255        54.96     0:00:02   0:00:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   121    0         0.001     255        43.68     0:00:02   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   123    0         0.001     255        44.30     0:00:02   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   123    0         0.002     255        44.69     0:00:02   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   157    0         0.002     255        54.34     0:00:02   0:00:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   125    0         0.001     255        43.51     0:00:02   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   127    0         0.001     255        44.08     0:00:02   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   128    0         0.002     255        44.45     0:00:02   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   161    0         0.002     255        53.76     0:00:03   0:00:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   130    0         0.001     255        43.24     0:00:03   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   131    0         0.001     255        43.92     0:00:03   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   132    0         0.002     255        44.24     0:00:03   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   166    0         0.002     255        53.08     0:00:03   0:00:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   134    0         0.001     255        43.13     0:00:03   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   136    0         0.002     255        43.82     0:00:03   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   136    0         0.002     255        43.99     0:00:03   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   170    0         0.003     255        52.37     0:00:03   0:00:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   138    0         0.001     255        42.77     0:00:03   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   140    0         0.002     255        43.49     0:00:03   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   140    0         0.003     255        43.67     0:00:03   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   174    0         0.003     255        51.90     0:00:03   0:00:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;5;237m━━━━━━━\u001b[0m   142    0         0.001     255        42.57     0:00:03   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   144    0         0.002     255        43.17     0:00:03   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   145    0         0.003     255        43.43     0:00:03   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   178    0         0.001     255        51.51     0:00:03   0:00:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   146    0         0.001     255        42.41     0:00:03   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   148    0         0.002     255        43.00     0:00:03   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   149    0         0.003     255        43.23     0:00:03   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   182    0         0.002     255        51.01     0:00:03   0:00:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   150    0         0.001     255        42.10     0:00:03   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   152    0         0.002     255        42.73     0:00:03   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   153    0         0.003     255        43.01     0:00:03   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   186    0         0.002     255        50.47     0:00:03   0:00:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   154    0         0.001     255        41.77     0:00:03   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   156    0         0.002     255        42.50     0:00:03   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   157    0         0.003     255        42.80     0:00:03   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   191    0         0.002     255        49.97     0:00:03   0:00:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   158    0         0.001     255        41.48     0:00:03   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   161    0         0.002     255        42.31     0:00:03   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   162    0         0.003     255        42.56     0:00:03   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   194    0         0.002     255        49.65     0:00:03   0:00:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   162    0         0.001     255        41.33     0:00:03   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   164    0         0.002     255        42.09     0:00:03   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   166    0         0.003     255        42.37     0:00:03   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   198    0         0.002     255        49.15     0:00:04   0:00:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   166    0         0.001     255        41.23     0:00:04   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   168    0         0.002     255        41.80     0:00:04   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   169    0         0.003     255        42.14     0:00:04   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   200    0         0.002     255        48.87     0:00:04   0:00:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   169    0         0.001     255        41.03     0:00:04   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   171    0         0.003     255        41.52     0:00:04   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   172    0         0.003     255        41.95     0:00:04   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   201    0         0.002     1023       47.26     0:00:04   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   173    0         0.001     255        40.51     0:00:04   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   174    0         0.003     255        41.06     0:00:04   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   176    0         0.002     255        41.37     0:00:04   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   202    0         0.002     1023       46.12     0:00:04   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   176    0         0.001     255        40.39     0:00:04   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   178    0         0.003     255        40.88     0:00:04   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   179    0         0.002     255        41.17     0:00:04   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   203    0         0.002     1023       45.13     0:00:04   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   180    0         0.001     255        40.16     0:00:04   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   182    0         0.003     255        40.77     0:00:04   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   183    0         0.001     255        40.95     0:00:04   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   203    0         0.002     1023       45.13     0:00:04   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   183    0         0.001     255        39.79     0:00:04   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   185    0         0.002     255        40.40     0:00:04   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   186    0         0.001     255        40.58     0:00:04   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   204    0         0.002     1023       43.44     0:00:04   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   187    0         0.001     255        39.32     0:00:04   0:00:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   189    0         0.002     255        39.92     0:00:04   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   190    0         0.001     255        40.09     0:00:04   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   205    0         0.002     1023       42.55     0:00:04   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   190    0         0.001     255        39.19     0:00:04   0:00:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   193    0         0.003     255        39.77     0:00:04   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   193    0         0.001     255        39.90     0:00:04   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   206    0         0.002     1023       41.40     0:00:05   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   193    0         0.001     255        38.73     0:00:05   0:00:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   196    0         0.003     255        39.30     0:00:05   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   197    0         0.001     255        39.44     0:00:04   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   207    0         0.002     1023       40.56     0:00:05   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   196    0         0.002     255        38.55     0:00:05   0:00:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   199    0         0.002     255        39.16     0:00:05   0:00:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   200    0         0.002     255        39.39     0:00:05   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   208    0         0.002     1023       39.74     0:00:05   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   200    0         0.002     255        38.36     0:00:05   0:00:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   201    0         0.002     1023       38.41     0:00:05   0:00:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   201    0         0.002     1023       38.61     0:00:05   0:00:47   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   209    0         0.002     1023       39.11     0:00:05   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   201    0         0.002     1023       37.73     0:00:05   0:00:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   202    0         0.002     1023       37.82     0:00:05   0:00:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   202    0         0.002     1023       38.02     0:00:05   0:00:48   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   210    0         0.002     1023       38.47     0:00:05   0:00:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   202    0         0.002     1023       37.14     0:00:05   0:00:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   202    0         0.002     1023       37.82     0:00:05   0:00:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   203    0         0.002     1023       37.44     0:00:05   0:00:49   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   211    0         0.002     1023       37.96     0:00:05   0:00:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   203    0         0.002     1023       36.63     0:00:05   0:00:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   204    0         0.002     1023       36.65     0:00:05   0:00:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   204    0         0.002     1023       36.92     0:00:05   0:00:49   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   212    0         0.002     1023       37.35     0:00:05   0:00:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   204    0         0.002     1023       36.08     0:00:05   0:00:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   205    0         0.002     1023       36.09     0:00:05   0:00:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   205    0         0.002     1023       36.34     0:00:05   0:00:50   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   213    0         0.002     1023       36.84     0:00:05   0:00:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   205    0         0.002     1023       35.53     0:00:05   0:00:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   205    0         0.002     1023       36.09     0:00:05   0:00:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   206    0         0.002     1023       35.80     0:00:05   0:00:51   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   214    0         0.002     1023       36.32     0:00:05   0:00:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   206    0         0.002     1023       35.05     0:00:05   0:00:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   206    0         0.002     1023       35.53     0:00:05   0:00:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   207    0         0.002     1023       35.32     0:00:05   0:00:51   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   215    0         0.002     1023       35.82     0:00:06   0:00:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   207    0         0.002     1023       34.59     0:00:06   0:00:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   208    0         0.002     1023       34.58     0:00:06   0:00:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   208    0         0.002     1023       34.84     0:00:06   0:00:52   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   216    0         0.002     1023       35.38     0:00:06   0:00:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   208    0         0.002     1023       34.17     0:00:06   0:00:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   209    0         0.002     1023       34.14     0:00:06   0:00:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   209    0         0.002     1023       34.41     0:00:06   0:00:53   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   217    0         0.002     1023       35.01     0:00:06   0:00:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   209    0         0.002     1023       33.75     0:00:06   0:00:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   210    0         0.002     1023       33.78     0:00:06   0:00:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   210    0         0.002     1023       34.02     0:00:06   0:00:53   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   218    0         0.002     1023       34.51     0:00:06   0:00:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   210    0         0.002     1023       33.34     0:00:06   0:00:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   211    0         0.002     1023       33.30     0:00:06   0:00:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   211    0         0.002     1023       33.57     0:00:06   0:00:54   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   219    0         0.002     1023       33.92     0:00:06   0:00:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   211    0         0.002     1023       32.75     0:00:06   0:00:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   211    0         0.002     1023       33.30     0:00:06   0:00:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   212    0         0.002     1023       33.03     0:00:06   0:00:55   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   220    0         0.002     1023       33.43     0:00:06   0:00:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   212    0         0.002     1023       32.28     0:00:06   0:00:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   212    0         0.002     1023       32.73     0:00:06   0:00:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   213    0         0.002     1023       32.51     0:00:06   0:00:56   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   221    0         0.002     1023       33.07     0:00:06   0:00:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   213    0         0.002     1023       31.89     0:00:06   0:00:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   213    0         0.002     1023       32.30     0:00:06   0:00:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   214    0         0.002     1023       32.17     0:00:06   0:00:56   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   222    0         0.002     1023       32.63     0:00:06   0:00:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   214    0         0.002     1023       31.44     0:00:06   0:00:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   214    0         0.002     1023       31.94     0:00:06   0:00:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   215    0         0.002     1023       31.72     0:00:06   0:00:57   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   222    0         0.002     1023       32.63     0:00:06   0:00:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   214    0         0.002     1023       31.44     0:00:06   0:00:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   215    0         0.002     1023       31.48     0:00:06   0:00:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   216    0         0.002     1023       31.27     0:00:06   0:00:58   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   223    0         0.002     1023       32.11     0:00:07   0:00:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   215    0         0.002     1023       30.93     0:00:07   0:00:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   216    0         0.002     1023       31.01     0:00:07   0:00:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   216    0         0.002     1023       31.27     0:00:07   0:00:58   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   224    0         0.002     1023       31.68     0:00:07   0:00:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   216    0         0.002     1023       30.54     0:00:07   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   217    0         0.002     1023       30.57     0:00:07   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   217    0         0.001     1023       30.81     0:00:07   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   225    0         0.002     1023       31.22     0:00:07   0:00:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   217    0         0.002     1023       30.10     0:00:07   0:01:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   218    0         0.002     1023       30.18     0:00:07   0:01:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   218    0         0.001     1023       30.36     0:00:07   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   226    0         0.002     1023       30.88     0:00:07   0:00:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   218    0         0.002     1023       29.68     0:00:07   0:01:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   219    0         0.002     1023       29.75     0:00:07   0:01:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   219    0         0.001     1023       29.98     0:00:07   0:01:00   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   227    0         0.002     1023       30.39     0:00:07   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   219    0         0.002     1023       29.27     0:00:07   0:01:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   219    0         0.002     1023       29.75     0:00:07   0:01:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   220    0         0.001     1023       29.51     0:00:07   0:01:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   228    0         0.002     1023       29.96     0:00:07   0:01:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   219    0         0.002     1023       29.27     0:00:07   0:01:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   220    0         0.002     1023       29.33     0:00:07   0:01:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   221    0         0.001     1023       29.12     0:00:07   0:01:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   228    0         0.002     1023       29.96     0:00:07   0:01:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   220    0         0.002     1023       28.87     0:00:07   0:01:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   221    0         0.002     1023       28.94     0:00:07   0:01:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   222    0         0.001     1023       28.77     0:00:07   0:01:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   229    0         0.002     1023       29.58     0:00:07   0:01:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   221    0         0.002     1023       28.57     0:00:07   0:01:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   222    0         0.002     1023       28.64     0:00:07   0:01:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   222    0         0.001     1023       28.77     0:00:07   0:01:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   231    0         0.002     551        29.11     0:00:07   0:01:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   222    0         0.002     1023       28.25     0:00:07   0:01:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   223    0         0.002     1023       28.29     0:00:07   0:01:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   223    0         0.001     1023       28.43     0:00:07   0:01:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   232    0         0.002     1023       28.76     0:00:08   0:01:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   223    0         0.002     1023       27.85     0:00:08   0:01:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   224    0         0.002     1023       27.94     0:00:08   0:01:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   224    0         0.001     1023       28.07     0:00:08   0:01:04   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   233    0         0.002     1023       28.46     0:00:08   0:01:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   224    0         0.002     1023       27.52     0:00:08   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   225    0         0.002     1023       27.65     0:00:08   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   225    0         0.001     1023       27.73     0:00:08   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   233    0         0.002     1023       28.46     0:00:08   0:01:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   225    0         0.002     1023       27.22     0:00:08   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   226    0         0.002     1023       27.37     0:00:08   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   226    0         0.001     1023       27.40     0:00:08   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   234    0         0.002     1023       28.16     0:00:08   0:01:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   226    0         0.002     1023       26.92     0:00:08   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   227    0         0.002     1023       27.08     0:00:08   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   227    0         0.001     1023       27.12     0:00:08   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   235    0         0.002     1023       27.85     0:00:08   0:01:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   226    0         0.002     1023       26.92     0:00:08   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   228    0         0.002     1023       26.80     0:00:08   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   228    0         0.001     1023       26.88     0:00:08   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   236    0         0.002     1023       27.53     0:00:08   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   227    0         0.002     1023       26.62     0:00:08   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   228    0         0.002     1023       26.80     0:00:08   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   229    0         0.001     1023       26.58     0:00:08   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   237    0         0.002     1023       27.20     0:00:08   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   228    0         0.002     1023       26.36     0:00:08   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   229    0         0.002     1023       26.51     0:00:08   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   229    0         0.001     1023       26.58     0:00:08   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   238    0         0.002     1023       26.88     0:00:08   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   229    0         0.002     1023       26.04     0:00:08   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   230    0         0.002     1023       26.20     0:00:08   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   230    0         0.001     1023       26.27     0:00:08   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   238    0         0.002     1023       26.88     0:00:08   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   230    0         0.002     1023       25.72     0:00:08   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   231    0         0.001     1023       25.87     0:00:08   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   231    0         0.001     1023       25.92     0:00:08   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   239    0         0.002     1023       26.53     0:00:09   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   231    0         0.002     1023       25.43     0:00:09   0:01:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   232    0         0.001     1023       25.55     0:00:09   0:01:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   232    0         0.001     1023       25.61     0:00:09   0:01:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   240    0         0.002     1023       26.18     0:00:09   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   231    0         0.002     1023       25.43     0:00:09   0:01:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   232    0         0.001     1023       25.55     0:00:09   0:01:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   232    0         0.001     1023       25.61     0:00:09   0:01:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   240    0         0.002     1023       26.18     0:00:09   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   232    0         0.002     1023       25.11     0:00:09   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   233    0         0.001     1023       25.26     0:00:09   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   233    0         0.001     1023       25.27     0:00:09   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   241    0         0.002     1023       25.86     0:00:09   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   232    0         0.002     1023       25.11     0:00:09   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   233    0         0.001     1023       25.26     0:00:09   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   233    0         0.001     1023       25.27     0:00:09   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   242    0         0.001     547        25.44     0:00:09   0:01:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   233    0         0.002     1023       24.50     0:00:09   0:01:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   234    0         0.001     1023       24.59     0:00:09   0:01:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   234    0         0.001     1023       24.66     0:00:09   0:01:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   243    0         0.001     1023       25.25     0:00:09   0:01:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   234    0         0.002     1023       24.30     0:00:09   0:01:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   235    0         0.001     1023       24.41     0:00:09   0:01:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   235    0         0.001     1023       24.46     0:00:09   0:01:13   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   244    0         0.001     1023       25.05     0:00:09   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   235    0         0.002     1023       24.09     0:00:09   0:01:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   236    0         0.001     1023       24.21     0:00:09   0:01:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   236    0         0.001     1023       24.24     0:00:09   0:01:13   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   244    0         0.001     1023       25.05     0:00:09   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   235    0         0.002     1023       24.09     0:00:09   0:01:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   236    0         0.001     1023       24.21     0:00:09   0:01:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   236    0         0.001     1023       24.24     0:00:09   0:01:13   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   245    0         0.001     1023       24.66     0:00:10   0:01:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   236    0         0.002     1023       23.72     0:00:10   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   237    0         0.001     1023       23.82     0:00:10   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   237    0         0.001     1023       23.87     0:00:10   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   246    0         0.001     1023       24.36     0:00:10   0:01:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   237    0         0.002     1023       23.47     0:00:10   0:01:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   238    0         0.001     1023       23.53     0:00:10   0:01:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   238    0         0.001     1023       23.58     0:00:10   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   247    0         0.001     1023       24.12     0:00:10   0:01:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   237    0         0.002     1023       23.47     0:00:10   0:01:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   238    0         0.001     1023       23.53     0:00:10   0:01:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   238    0         0.001     1023       23.58     0:00:10   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   247    0         0.001     1023       24.12     0:00:10   0:01:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   238    0         0.002     1023       23.20     0:00:10   0:01:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   239    0         0.001     1023       23.29     0:00:10   0:01:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   239    0         0.001     1023       23.32     0:00:10   0:01:16   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   248    0         0.001     1023       23.82     0:00:10   0:01:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   239    0         0.002     1023       22.96     0:00:10   0:01:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   240    0         0.001     1023       23.00     0:00:10   0:01:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   240    0         0.001     1023       23.04     0:00:10   0:01:17   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   249    0         0.001     1023       23.59     0:00:10   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   240    0         0.002     1023       22.76     0:00:10   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   241    0         0.001     1023       22.80     0:00:10   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   241    0         0.001     1023       22.81     0:00:10   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   250    0         0.001     1023       23.34     0:00:10   0:01:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   241    0         0.002     1023       22.50     0:00:10   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   241    0         0.001     1023       22.80     0:00:10   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   241    0         0.001     1023       22.81     0:00:10   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   250    0         0.001     1023       23.34     0:00:10   0:01:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   241    0         0.002     1023       22.50     0:00:10   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   242    0         0.001     1023       22.55     0:00:10   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   242    0         0.001     1023       22.56     0:00:10   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   251    0         0.001     1023       23.08     0:00:10   0:01:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   242    0         0.002     1023       22.26     0:00:10   0:01:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   243    0         0.001     1023       22.32     0:00:10   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   243    0         0.001     1023       22.33     0:00:10   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   252    0         0.001     1023       22.92     0:00:11   0:01:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   243    0         0.002     1023       22.11     0:00:11   0:01:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   244    0         0.001     1023       22.16     0:00:11   0:01:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   244    0         0.001     1023       22.16     0:00:11   0:01:20   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   253    0         0.001     1023       22.72     0:00:11   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   244    0         0.002     1023       21.92     0:00:11   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   245    0         0.001     1023       21.99     0:00:11   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   245    0         0.001     1023       21.98     0:00:11   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   254    0         0.001     1023       22.57     0:00:11   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   245    0         0.002     1023       21.77     0:00:11   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   246    0         0.001     1023       21.85     0:00:11   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   246    0         0.001     1023       21.84     0:00:11   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   255    0         0.001     1023       22.43     0:00:11   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   246    0         0.002     1023       21.63     0:00:11   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   247    0         0.001     1023       21.71     0:00:11   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   247    0         0.001     1023       21.71     0:00:11   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   256    0         0.001     1023       22.25     0:00:11   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   247    0         0.002     1023       21.49     0:00:11   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   247    0         0.001     1023       21.71     0:00:11   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   247    0         0.001     1023       21.71     0:00:11   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   256    0         0.001     1023       22.25     0:00:11   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   247    0         0.002     1023       21.49     0:00:11   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   248    0         0.001     1023       21.55     0:00:11   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   248    0         0.001     1023       21.56     0:00:11   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   257    0         0.001     1023       22.08     0:00:11   0:01:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   248    0         0.002     1023       21.33     0:00:11   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   249    0         0.001     1023       21.40     0:00:11   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   249    0         0.001     1023       21.40     0:00:11   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   259    0         0.001     1023       21.88     0:00:11   0:01:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   250    0         0.002     1023       21.13     0:00:11   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   250    0         0.001     1023       21.30     0:00:11   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   250    0         0.001     1023       21.29     0:00:11   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   260    0         0.001     1023       21.75     0:00:11   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   250    0         0.002     1023       21.13     0:00:11   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   251    0         0.001     1023       21.20     0:00:11   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   251    0         0.001     1023       21.19     0:00:11   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   260    0         0.001     1023       21.75     0:00:12   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   252    0         0.001     133        21.04     0:00:12   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   252    0         0.001     1023       21.07     0:00:12   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   252    0         0.001     1023       21.06     0:00:12   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   262    0         0.001     1023       21.51     0:00:12   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   253    0         0.001     1023       20.93     0:00:12   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   253    0         0.001     1023       20.94     0:00:12   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   253    0         0.001     1023       20.94     0:00:12   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   263    0         0.001     1023       21.39     0:00:12   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   254    0         0.001     1023       20.83     0:00:12   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   254    0         0.001     1023       20.85     0:00:12   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   254    0         0.001     1023       20.83     0:00:12   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   264    0         0.001     1023       21.27     0:00:12   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   255    0         0.001     1023       20.71     0:00:12   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   255    0         0.001     1023       20.73     0:00:12   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   255    0         0.001     1023       20.72     0:00:12   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   265    0         0.001     1023       21.17     0:00:12   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   256    0         0.001     1023       20.59     0:00:12   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   256    0         0.001     1023       20.61     0:00:12   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   256    0         0.001     1023       20.59     0:00:12   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   266    0         0.001     1023       21.07     0:00:12   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   257    0         0.001     1023       20.49     0:00:12   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   257    0         0.000     1023       20.50     0:00:12   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   257    0         0.001     1023       20.49     0:00:12   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   266    0         0.001     1023       21.07     0:00:12   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   258    0         0.001     1023       20.39     0:00:12   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   258    0         0.000     1023       20.41     0:00:12   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   258    0         0.002     1023       20.39     0:00:12   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   267    0         0.001     1023       20.94     0:00:12   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   259    0         0.001     1023       20.27     0:00:12   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   259    0         0.000     1023       20.29     0:00:12   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   259    0         0.001     1023       20.27     0:00:12   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   269    0         0.001     1023       20.75     0:00:12   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   261    0         0.001     773        20.15     0:00:12   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   260    0         0.000     1023       20.21     0:00:12   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   260    0         0.001     1023       20.19     0:00:12   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   270    0         0.001     1023       20.67     0:00:13   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   262    0         0.001     1023       20.07     0:00:13   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   262    0         0.000     1023       20.05     0:00:13   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   261    0         0.002     1023       20.10     0:00:13   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   271    0         0.001     1023       20.59     0:00:13   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   263    0         0.001     1023       20.01     0:00:13   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   263    0         0.001     1023       19.99     0:00:13   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   263    0         0.001     1023       19.97     0:00:13   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   272    0         0.001     1023       20.52     0:00:13   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   264    0         0.001     1023       19.94     0:00:13   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   264    0         0.001     1023       19.92     0:00:13   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   264    0         0.001     1023       19.90     0:00:13   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   273    0         0.001     1023       20.44     0:00:13   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   265    0         0.001     1023       19.87     0:00:13   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   265    0         0.000     1023       19.85     0:00:13   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   265    0         0.001     1023       19.82     0:00:13   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   274    0         0.001     1023       20.29     0:00:13   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   266    0         0.001     1023       19.70     0:00:13   0:01:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   265    0         0.000     1023       19.85     0:00:13   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   265    0         0.001     1023       19.82     0:00:13   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   274    0         0.001     1023       20.29     0:00:13   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   266    0         0.001     1023       19.70     0:00:13   0:01:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   266    0         0.000     1023       19.68     0:00:13   0:01:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   266    0         0.001     1023       19.68     0:00:13   0:01:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   275    0         0.001     1023       20.15     0:00:13   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   267    0         0.001     1023       19.56     0:00:13   0:01:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   267    0         0.001     1023       19.56     0:00:13   0:01:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   267    0         0.001     1023       19.55     0:00:13   0:01:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   276    0         0.001     1023       20.03     0:00:13   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   268    0         0.001     1023       19.44     0:00:13   0:01:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   268    0         0.001     1023       19.44     0:00:13   0:01:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   268    0         0.001     1023       19.44     0:00:13   0:01:30   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   277    0         0.001     1023       19.93     0:00:13   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   269    0         0.001     1023       19.32     0:00:13   0:01:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   269    0         0.001     1023       19.32     0:00:13   0:01:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   269    0         0.001     1023       19.33     0:00:13   0:01:30   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   278    0         0.001     1023       19.82     0:00:14   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   270    0         0.001     1023       19.21     0:00:14   0:01:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   270    0         0.001     1023       19.21     0:00:14   0:01:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   270    0         0.001     1023       19.23     0:00:14   0:01:31   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   279    0         0.002     1023       19.72     0:00:14   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   271    0         0.001     1023       19.12     0:00:14   0:01:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   271    0         0.001     1023       19.12     0:00:14   0:01:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   271    0         0.001     1023       19.14     0:00:14   0:01:31   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   280    0         0.002     1023       19.63     0:00:14   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   272    0         0.001     1023       19.03     0:00:14   0:01:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   272    0         0.001     1023       19.03     0:00:14   0:01:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   272    0         0.001     1023       19.06     0:00:14   0:01:31   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   281    0         0.002     1023       19.55     0:00:14   0:01:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   273    0         0.001     1023       18.94     0:00:14   0:01:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   273    0         0.001     1023       18.96     0:00:14   0:01:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   273    0         0.001     1023       18.96     0:00:14   0:01:32   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   282    0         0.002     1023       19.48     0:00:14   0:01:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   274    0         0.001     1023       18.88     0:00:14   0:01:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   274    0         0.001     1023       18.89     0:00:14   0:01:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   274    0         0.001     1023       18.90     0:00:14   0:01:32   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   283    0         0.002     1023       19.40     0:00:14   0:01:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   275    0         0.001     1023       18.82     0:00:14   0:01:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   275    0         0.001     1023       18.83     0:00:14   0:01:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   275    0         0.001     1023       18.83     0:00:14   0:01:32   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   284    0         0.002     1023       19.34     0:00:14   0:01:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   276    0         0.001     1023       18.75     0:00:14   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   276    0         0.001     1023       18.76     0:00:14   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   276    0         0.001     1023       18.78     0:00:14   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   285    0         0.002     1023       19.27     0:00:14   0:01:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   277    0         0.001     1023       18.69     0:00:14   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   277    0         0.001     1023       18.70     0:00:14   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   277    0         0.001     1023       18.72     0:00:14   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   286    0         0.002     1023       19.21     0:00:14   0:01:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   278    0         0.001     1023       18.62     0:00:14   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   278    0         0.001     1023       18.64     0:00:14   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   278    0         0.001     1023       18.67     0:00:14   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   287    0         0.002     1023       19.14     0:00:15   0:01:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   279    0         0.001     1023       18.56     0:00:15   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   279    0         0.001     1023       18.58     0:00:15   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   279    0         0.001     1023       18.61     0:00:15   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   288    0         0.002     1023       19.06     0:00:15   0:01:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   279    0         0.001     1023       18.56     0:00:15   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   279    0         0.001     1023       18.58     0:00:15   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   280    0         0.001     1023       18.55     0:00:15   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   289    0         0.002     1023       18.85     0:00:15   0:01:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   280    0         0.001     1023       18.37     0:00:15   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   280    0         0.001     1023       18.39     0:00:15   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   281    0         0.001     1023       18.33     0:00:15   0:01:35   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   290    0         0.002     1023       18.77     0:00:15   0:01:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   281    0         0.001     1023       18.27     0:00:15   0:01:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   281    0         0.001     1023       18.30     0:00:15   0:01:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   281    0         0.001     1023       18.33     0:00:15   0:01:35   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   291    0         0.002     1023       18.69     0:00:15   0:01:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   282    0         0.001     1023       18.19     0:00:15   0:01:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   282    0         0.001     1023       18.21     0:00:15   0:01:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   282    0         0.001     1023       18.24     0:00:15   0:01:35   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   292    0         0.002     1023       18.64     0:00:15   0:01:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   283    0         0.001     1023       18.12     0:00:15   0:01:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   283    0         0.001     1023       18.15     0:00:15   0:01:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   284    0         0.001     1023       18.12     0:00:15   0:01:35   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   293    0         0.002     1023       18.58     0:00:15   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   284    0         0.001     1023       18.08     0:00:15   0:01:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   285    0         0.001     1023       18.05     0:00:15   0:01:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   285    0         0.001     1023       18.06     0:00:15   0:01:36   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   294    0         0.002     1023       18.52     0:00:15   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━━\u001b[0m   285    0         0.001     1023       18.02     0:00:15   0:01:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   286    0         0.001     1023       18.00     0:00:15   0:01:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   286    0         0.001     1023       18.00     0:00:15   0:01:36   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   295    0         0.002     1023       18.48     0:00:16   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   287    0         0.001     1023       17.94     0:00:16   0:01:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   287    0         0.001     1023       17.96     0:00:16   0:01:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   287    0         0.001     1023       17.95     0:00:16   0:01:36   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   296    0         0.002     1023       18.44     0:00:16   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   288    0         0.001     1023       17.90     0:00:16   0:01:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   288    0         0.001     1023       17.92     0:00:16   0:01:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   288    0         0.001     1023       17.91     0:00:16   0:01:36   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   297    0         0.002     1023       18.34     0:00:16   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   288    0         0.001     1023       17.90     0:00:16   0:01:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   288    0         0.001     1023       17.92     0:00:16   0:01:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   288    0         0.001     1023       17.91     0:00:16   0:01:36   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   298    0         0.002     1023       18.16     0:00:16   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   289    0         0.001     1023       17.69     0:00:16   0:01:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   289    0         0.001     1023       17.70     0:00:16   0:01:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   289    0         0.001     1023       17.69     0:00:16   0:01:37   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   299    0         0.002     1023       18.10     0:00:16   0:01:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   290    0         0.001     1023       17.64     0:00:16   0:01:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   290    0         0.001     1023       17.66     0:00:16   0:01:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   290    0         0.001     1023       17.64     0:00:16   0:01:38   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   300    0         0.002     1023       18.07     0:00:16   0:01:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   291    0         0.001     1023       17.59     0:00:16   0:01:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   291    0         0.001     1023       17.60     0:00:16   0:01:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   291    0         0.001     1023       17.59     0:00:16   0:01:38   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   300    0         0.002     1023       18.07     0:00:16   0:01:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   292    0         0.001     1023       17.52     0:00:16   0:01:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   292    0         0.001     1023       17.56     0:00:16   0:01:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   292    0         0.001     1023       17.53     0:00:16   0:01:38   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   301    0         0.002     1023       17.94     0:00:16   0:01:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   293    0         0.001     1023       17.40     0:00:16   0:01:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   293    0         0.001     1023       17.42     0:00:16   0:01:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   293    0         0.001     1023       17.40     0:00:16   0:01:39   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   302    0         0.002     1023       17.88     0:00:16   0:01:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   294    0         0.001     1023       17.34     0:00:16   0:01:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   294    0         0.001     1023       17.35     0:00:16   0:01:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   294    0         0.001     1023       17.34     0:00:16   0:01:39   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   302    0         0.002     1023       17.88     0:00:17   0:01:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   294    0         0.001     1023       17.34     0:00:17   0:01:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   294    0         0.001     1023       17.35     0:00:17   0:01:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   294    0         0.001     1023       17.34     0:00:17   0:01:39   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   303    0         0.002     1023       17.72     0:00:17   0:01:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   295    0         0.001     1023       17.18     0:00:17   0:01:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   295    0         0.001     1023       17.20     0:00:17   0:01:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   295    0         0.001     1023       17.20     0:00:17   0:01:40   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   304    0         0.002     1023       17.66     0:00:17   0:01:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   296    0         0.001     1023       17.11     0:00:17   0:01:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   296    0         0.001     1023       17.14     0:00:17   0:01:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   296    0         0.001     1023       17.12     0:00:17   0:01:40   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   305    0         0.002     1023       17.58     0:00:17   0:01:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   296    0         0.001     1023       17.11     0:00:17   0:01:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   297    0         0.001     1023       17.06     0:00:17   0:01:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   296    0         0.001     1023       17.12     0:00:17   0:01:40   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   306    0         0.002     1023       17.50     0:00:17   0:01:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   297    0         0.001     1023       17.03     0:00:17   0:01:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   297    0         0.001     1023       17.06     0:00:17   0:01:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   297    0         0.001     1023       17.04     0:00:17   0:01:41   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   307    0         0.002     1023       17.43     0:00:17   0:01:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   298    0         0.001     1023       16.96     0:00:17   0:01:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   298    0         0.001     1023       16.99     0:00:17   0:01:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   298    0         0.001     1023       16.97     0:00:17   0:01:41   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   308    0         0.002     1023       17.39     0:00:17   0:01:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   299    0         0.001     1023       16.91     0:00:17   0:01:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   300    0         0.001     1023       16.90     0:00:17   0:01:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   299    0         0.001     1023       16.93     0:00:17   0:01:41   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   309    0         0.002     1023       17.36     0:00:17   0:01:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   300    0         0.001     1023       16.86     0:00:17   0:01:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   301    0         0.001     1023       16.85     0:00:17   0:01:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   300    0         0.001     1023       16.89     0:00:17   0:01:41   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   310    0         0.002     1023       17.25     0:00:18   0:01:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   301    0         0.001     1023       16.78     0:00:18   0:01:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   301    0         0.001     1023       16.85     0:00:18   0:01:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   301    0         0.001     1023       16.81     0:00:17   0:01:42   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   311    0         0.002     1023       17.18     0:00:18   0:01:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   302    0         0.001     1023       16.70     0:00:18   0:01:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   302    0         0.001     1023       16.75     0:00:18   0:01:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   302    0         0.001     1023       16.74     0:00:18   0:01:42   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   311    0         0.002     1023       17.18     0:00:18   0:01:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   303    0         0.001     1023       16.59     0:00:18   0:01:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   303    0         0.001     1023       16.70     0:00:18   0:01:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   303    0         0.001     1023       16.65     0:00:18   0:01:43   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   312    0         0.002     1023       17.03     0:00:18   0:01:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   303    0         0.001     1023       16.59     0:00:18   0:01:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   304    0         0.001     1023       16.55     0:00:18   0:01:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   303    0         0.001     1023       16.65     0:00:18   0:01:43   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   313    0         0.002     1023       16.93     0:00:18   0:01:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   304    0         0.001     1023       16.48     0:00:18   0:01:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   305    0         0.001     1023       16.47     0:00:18   0:01:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   304    0         0.001     1023       16.49     0:00:18   0:01:44   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   314    0         0.002     1023       16.85     0:00:18   0:01:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   305    0         0.001     1023       16.39     0:00:18   0:01:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   305    0         0.001     1023       16.47     0:00:18   0:01:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   305    0         0.001     1023       16.41     0:00:18   0:01:44   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   314    0         0.002     1023       16.85     0:00:18   0:01:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   306    0         0.001     1023       16.31     0:00:18   0:01:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   306    0         0.000     1023       16.37     0:00:18   0:01:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   306    0         0.001     1023       16.33     0:00:18   0:01:45   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   315    0         0.002     1023       16.75     0:00:18   0:01:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   306    0         0.001     1023       16.31     0:00:18   0:01:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   307    0         0.001     1023       16.28     0:00:18   0:01:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   306    0         0.001     1023       16.33     0:00:18   0:01:45   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   316    0         0.002     1023       16.64     0:00:19   0:01:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   307    0         0.001     1023       16.20     0:00:19   0:01:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   307    0         0.001     1023       16.28     0:00:19   0:01:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   307    0         0.001     1023       16.22     0:00:19   0:01:45   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   316    0         0.002     1023       16.64     0:00:19   0:01:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   307    0         0.001     1023       16.20     0:00:19   0:01:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   308    0         0.001     1023       16.17     0:00:19   0:01:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   308    0         0.001     1023       16.12     0:00:19   0:01:46   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   317    0         0.002     1023       16.54     0:00:19   0:01:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   308    0         0.001     1023       16.08     0:00:19   0:01:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   309    0         0.001     1023       16.07     0:00:19   0:01:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   308    0         0.001     1023       16.12     0:00:19   0:01:46   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   318    0         0.002     1023       16.46     0:00:19   0:01:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   309    0         0.001     1023       16.00     0:00:19   0:01:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   310    0         0.001     1023       16.02     0:00:19   0:01:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   309    0         0.001     1023       16.03     0:00:19   0:01:46   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   319    0         0.002     1023       16.37     0:00:19   0:01:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   310    0         0.001     1023       15.90     0:00:19   0:01:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   310    0         0.001     1023       16.02     0:00:19   0:01:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   310    0         0.001     1023       15.94     0:00:19   0:01:47   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   320    0         0.002     1023       16.29     0:00:19   0:01:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   311    0         0.001     1023       15.83     0:00:19   0:01:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   311    0         0.000     1023       15.92     0:00:19   0:01:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   311    0         0.001     1023       15.88     0:00:19   0:01:47   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   320    0         0.002     1023       16.29     0:00:19   0:01:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   311    0         0.001     1023       15.83     0:00:19   0:01:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   312    0         0.000     1023       15.83     0:00:19   0:01:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   312    0         0.001     1023       15.82     0:00:19   0:01:47   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   321    0         0.002     1023       16.23     0:00:19   0:01:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   312    0         0.001     1023       15.76     0:00:19   0:01:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   313    0         0.001     1023       15.77     0:00:19   0:01:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   313    0         0.001     1023       15.75     0:00:19   0:01:48   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   322    0         0.002     1023       16.16     0:00:20   0:01:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   313    0         0.001     1023       15.70     0:00:19   0:01:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   313    0         0.001     1023       15.77     0:00:19   0:01:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   313    0         0.001     1023       15.75     0:00:19   0:01:48   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   323    0         0.002     1023       16.11     0:00:20   0:01:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   314    0         0.001     1023       15.66     0:00:20   0:01:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   315    0         0.001     1023       15.67     0:00:20   0:01:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   314    0         0.001     1023       15.70     0:00:20   0:01:48   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   324    0         0.002     1023       16.07     0:00:20   0:01:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   315    0         0.001     1023       15.62     0:00:20   0:01:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   316    0         0.001     1023       15.64     0:00:20   0:01:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   315    0         0.001     1023       15.66     0:00:20   0:01:48   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   325    0         0.002     1023       16.03     0:00:20   0:01:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   316    0         0.001     1023       15.58     0:00:20   0:01:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   317    0         0.001     1023       15.60     0:00:20   0:01:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   317    0         0.001     1023       15.59     0:00:20   0:01:49   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   326    0         0.002     1023       15.99     0:00:20   0:01:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   317    0         0.001     1023       15.54     0:00:20   0:01:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   318    0         0.001     1023       15.56     0:00:20   0:01:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   317    0         0.001     1023       15.59     0:00:20   0:01:49   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   327    0         0.002     1023       15.88     0:00:20   0:01:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   318    0         0.001     1023       15.45     0:00:20   0:01:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   318    0         0.001     1023       15.56     0:00:20   0:01:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   318    0         0.001     1023       15.51     0:00:20   0:01:49   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   328    0         0.002     1023       15.84     0:00:20   0:01:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   319    0         0.001     1023       15.41     0:00:20   0:01:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   319    0         0.001     1023       15.47     0:00:20   0:01:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   319    0         0.001     1023       15.46     0:00:20   0:01:50   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   329    0         0.002     1023       15.80     0:00:20   0:01:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   320    0         0.001     1023       15.36     0:00:20   0:01:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   320    0         0.001     1023       15.41     0:00:20   0:01:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   320    0         0.001     1023       15.42     0:00:20   0:01:50   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   330    0         0.002     1023       15.77     0:00:20   0:01:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   321    0         0.001     1023       15.33     0:00:20   0:01:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   321    0         0.001     1023       15.38     0:00:20   0:01:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   321    0         0.001     1023       15.38     0:00:20   0:01:50   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   331    0         0.002     1023       15.74     0:00:21   0:01:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   322    0         0.001     1023       15.31     0:00:21   0:01:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   323    0         0.001     1023       15.34     0:00:21   0:01:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   323    0         0.001     1023       15.34     0:00:21   0:01:50   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   332    0         0.002     1023       15.72     0:00:21   0:01:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   323    0         0.001     1023       15.29     0:00:21   0:01:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   324    0         0.001     1023       15.32     0:00:21   0:01:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   324    0         0.001     1023       15.32     0:00:21   0:01:50   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   333    0         0.002     1023       15.69     0:00:21   0:01:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   324    0         0.001     1023       15.26     0:00:21   0:01:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   325    0         0.001     1023       15.29     0:00:21   0:01:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   325    0         0.001     1023       15.30     0:00:21   0:01:50   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   334    0         0.002     1023       15.67     0:00:21   0:01:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   325    0         0.001     1023       15.24     0:00:21   0:01:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   326    0         0.000     1023       15.27     0:00:21   0:01:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   326    0         0.001     1023       15.27     0:00:21   0:01:50   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   336    0         0.002     1023       15.61     0:00:21   0:01:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   326    0         0.001     1023       15.22     0:00:21   0:01:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   327    0         0.001     1023       15.24     0:00:21   0:01:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   327    0         0.001     1023       15.25     0:00:21   0:01:50   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   336    0         0.002     1023       15.61     0:00:21   0:01:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   327    0         0.001     1023       15.13     0:00:21   0:01:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   328    0         0.001     1023       15.14     0:00:21   0:01:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   328    0         0.001     1023       15.16     0:00:21   0:01:51   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   338    0         0.003     1023       15.51     0:00:21   0:01:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   328    0         0.001     1023       15.10     0:00:21   0:01:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   329    0         0.000     1023       15.12     0:00:21   0:01:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   329    0         0.001     1023       15.10     0:00:21   0:01:51   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   339    0         0.003     1023       15.48     0:00:21   0:01:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   329    0         0.001     1023       15.08     0:00:21   0:01:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   330    0         0.000     1023       15.11     0:00:21   0:01:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   330    0         0.000     1023       15.08     0:00:21   0:01:51   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   340    0         0.003     1023       15.44     0:00:22   0:01:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   331    0         0.001     532        15.06     0:00:22   0:01:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   331    0         0.000     1023       15.09     0:00:22   0:01:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   331    0         0.001     1023       15.05     0:00:22   0:01:52   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   341    0         0.002     1023       15.41     0:00:22   0:01:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   333    0         0.001     545        15.04     0:00:22   0:01:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   332    0         0.000     1023       15.06     0:00:22   0:01:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   332    0         0.001     1023       15.01     0:00:22   0:01:52   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   342    0         0.003     1023       15.37     0:00:22   0:01:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   333    0         0.001     545        15.04     0:00:22   0:01:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   333    0         0.000     1023       15.03     0:00:22   0:01:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   332    0         0.001     1023       15.01     0:00:22   0:01:52   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   342    0         0.003     1023       15.37     0:00:22   0:01:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   334    0         0.001     1023       15.00     0:00:22   0:01:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   334    0         0.000     1023       14.99     0:00:22   0:01:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   333    0         0.000     1023       14.97     0:00:22   0:01:52   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   343    0         0.003     859        15.29     0:00:22   0:01:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   335    0         0.001     1023       14.92     0:00:22   0:01:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   335    0         0.000     1023       14.91     0:00:22   0:01:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   334    0         0.000     1023       14.88     0:00:22   0:01:53   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   344    0         0.002     1023       15.20     0:00:22   0:01:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   336    0         0.001     1023       14.83     0:00:22   0:01:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   336    0         0.000     1023       14.82     0:00:22   0:01:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   335    0         0.001     1023       14.79     0:00:22   0:01:53   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   345    0         0.003     1023       15.16     0:00:22   0:01:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   337    0         0.000     1023       14.80     0:00:22   0:01:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   336    0         0.000     1023       14.82     0:00:22   0:01:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   335    0         0.001     1023       14.79     0:00:22   0:01:53   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   346    0         0.002     959        15.11     0:00:22   0:01:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   337    0         0.000     1023       14.80     0:00:22   0:01:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   337    0         0.000     1023       14.78     0:00:22   0:01:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   336    0         0.000     1023       14.74     0:00:22   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   347    0         0.002     1023       15.07     0:00:23   0:01:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   338    0         0.000     1023       14.74     0:00:23   0:01:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   338    0         0.000     1023       14.73     0:00:23   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   337    0         0.000     1023       14.69     0:00:23   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   348    0         0.002     1023       15.04     0:00:23   0:01:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   339    0         0.000     1023       14.70     0:00:23   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   339    0         0.000     1023       14.70     0:00:23   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   338    0         0.000     1023       14.65     0:00:23   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   349    0         0.002     1023       15.01     0:00:23   0:01:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   340    0         0.000     1023       14.68     0:00:23   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   340    0         0.000     1023       14.68     0:00:23   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   339    0         0.000     1023       14.62     0:00:23   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   350    0         0.002     1023       14.99     0:00:23   0:01:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   341    0         0.000     1023       14.65     0:00:23   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   342    0         0.000     1023       14.64     0:00:23   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   340    0         0.000     1023       14.61     0:00:23   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   351    0         0.002     1023       14.97     0:00:23   0:01:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   343    0         0.000     1023       14.60     0:00:23   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   343    0         0.000     1023       14.63     0:00:23   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   341    0         0.000     1023       14.59     0:00:23   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   352    0         0.002     1023       14.95     0:00:23   0:01:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   344    0         0.000     1023       14.59     0:00:23   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   344    0         0.000     1023       14.61     0:00:23   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   343    0         0.000     1023       14.55     0:00:23   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   353    0         0.002     1023       14.93     0:00:23   0:01:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   345    0         0.000     1023       14.56     0:00:23   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   345    0         0.000     1023       14.59     0:00:23   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   344    0         0.000     1023       14.53     0:00:23   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   354    0         0.002     1023       14.90     0:00:23   0:01:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   346    0         0.000     1023       14.55     0:00:23   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   346    0         0.000     1023       14.57     0:00:23   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   345    0         0.000     1023       14.51     0:00:23   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   355    0         0.002     1023       14.88     0:00:23   0:01:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   347    0         0.000     1023       14.53     0:00:23   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   347    0         0.000     1023       14.55     0:00:23   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   346    0         0.000     1023       14.50     0:00:23   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   357    0         0.002     1023       14.85     0:00:24   0:01:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   348    0         0.000     1023       14.52     0:00:24   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   348    0         0.000     1023       14.53     0:00:24   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   347    0         0.000     1023       14.49     0:00:24   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   358    0         0.002     1023       14.83     0:00:24   0:01:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   350    0         0.000     1023       14.49     0:00:24   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   350    0         0.000     1023       14.49     0:00:24   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   348    0         0.000     1023       14.46     0:00:24   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   359    0         0.002     1023       14.81     0:00:24   0:01:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   351    0         0.000     1023       14.47     0:00:24   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   351    0         0.000     1023       14.47     0:00:24   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   350    0         0.000     1023       14.43     0:00:24   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   360    0         0.002     1023       14.80     0:00:24   0:01:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   352    0         0.000     1023       14.45     0:00:24   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   352    0         0.000     1023       14.45     0:00:24   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   351    0         0.000     1023       14.42     0:00:24   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   361    0         0.002     1023       14.78     0:00:24   0:01:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   353    0         0.000     1023       14.43     0:00:24   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   353    0         0.000     1023       14.45     0:00:24   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   352    0         0.000     1023       14.41     0:00:24   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   363    0         0.002     1023       14.75     0:00:24   0:01:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   354    0         0.000     1023       14.41     0:00:24   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   355    0         0.000     1023       14.43     0:00:24   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   353    0         0.000     1023       14.40     0:00:24   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   364    0         0.002     1023       14.74     0:00:24   0:01:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   355    0         0.000     1023       14.39     0:00:24   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   356    0         0.000     1023       14.41     0:00:24   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   355    0         0.000     1023       14.36     0:00:24   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   365    0         0.002     1023       14.72     0:00:24   0:01:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   356    0         0.000     1023       14.38     0:00:24   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   357    0         0.000     1023       14.40     0:00:24   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   356    0         0.000     1023       14.35     0:00:24   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   366    0         0.002     1023       14.70     0:00:24   0:01:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   358    0         0.000     1023       14.35     0:00:24   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   358    0         0.000     1023       14.39     0:00:24   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   357    0         0.000     1023       14.33     0:00:24   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   367    0         0.002     1023       14.68     0:00:25   0:01:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   359    0         0.000     1023       14.33     0:00:25   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   359    0         0.000     1023       14.37     0:00:25   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   358    0         0.000     1023       14.29     0:00:25   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   368    0         0.002     1023       14.65     0:00:25   0:01:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   360    0         0.000     1023       14.30     0:00:25   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   360    0         0.000     1023       14.34     0:00:25   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   359    0         0.000     1023       14.27     0:00:25   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   369    0         0.002     1023       14.62     0:00:25   0:01:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   361    0         0.000     1023       14.28     0:00:25   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   361    0         0.000     1023       14.32     0:00:25   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   360    0         0.000     1023       14.24     0:00:25   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   370    0         0.002     1023       14.60     0:00:25   0:01:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   361    0         0.000     1023       14.28     0:00:25   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   362    0         0.000     1023       14.30     0:00:25   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   360    0         0.000     1023       14.24     0:00:25   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   371    0         0.002     1023       14.56     0:00:25   0:01:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   362    0         0.000     1023       14.24     0:00:25   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   363    0         0.000     1023       14.26     0:00:25   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   361    0         0.000     1023       14.21     0:00:25   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   372    0         0.003     1023       14.54     0:00:25   0:01:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   364    0         0.000     1023       14.20     0:00:25   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   364    0         0.000     1023       14.24     0:00:25   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   363    0         0.000     1023       14.17     0:00:25   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   373    0         0.002     1023       14.49     0:00:25   0:01:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   365    0         0.000     1023       14.14     0:00:25   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   365    0         0.000     1023       14.18     0:00:25   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   364    0         0.000     1023       14.11     0:00:25   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   375    0         0.002     511        14.49     0:00:25   0:01:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   366    0         0.000     1023       14.14     0:00:25   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   367    0         0.000     1023       14.17     0:00:25   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   365    0         0.000     1023       14.10     0:00:25   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   376    0         0.002     1023       14.47     0:00:26   0:01:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   367    0         0.000     1023       14.13     0:00:26   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   368    0         0.000     1023       14.16     0:00:26   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   366    0         0.000     1023       14.08     0:00:26   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   377    0         0.002     1023       14.45     0:00:26   0:01:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   368    0         0.000     1023       14.11     0:00:26   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   369    0         0.000     1023       14.14     0:00:26   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   367    0         0.000     1023       14.07     0:00:26   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   378    0         0.002     1023       14.44     0:00:26   0:01:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   369    0         0.000     1023       14.10     0:00:26   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   370    0         0.000     1023       14.12     0:00:26   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   368    0         0.000     1023       14.04     0:00:26   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   379    0         0.002     1023       14.41     0:00:26   0:01:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   370    0         0.000     1023       14.08     0:00:26   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   371    0         0.000     1023       14.09     0:00:26   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   369    0         0.000     1023       14.02     0:00:26   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   380    0         0.002     1023       14.38     0:00:26   0:01:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   371    0         0.000     1023       14.06     0:00:26   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   372    0         0.000     1023       14.07     0:00:26   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   370    0         0.000     1023       14.00     0:00:26   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   382    0         0.002     1023       14.36     0:00:26   0:01:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   373    0         0.000     1023       14.02     0:00:26   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   373    0         0.000     1023       14.06     0:00:26   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   371    0         0.000     1023       14.00     0:00:26   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   383    0         0.002     1023       14.34     0:00:26   0:01:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   374    0         0.000     1023       14.01     0:00:26   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   374    0         0.000     1023       14.05     0:00:26   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   372    0         0.000     1023       13.98     0:00:26   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   384    0         0.002     1023       14.33     0:00:26   0:01:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   375    0         0.000     1023       14.00     0:00:26   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   376    0         0.000     1023       14.02     0:00:26   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   374    0         0.000     1023       13.96     0:00:26   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   385    0         0.002     1023       14.32     0:00:26   0:01:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   376    0         0.000     1023       13.99     0:00:26   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   377    0         0.000     1023       14.01     0:00:26   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   375    0         0.000     1023       13.95     0:00:26   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   387    0         0.002     1023       14.30     0:00:27   0:01:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   377    0         0.000     1023       13.98     0:00:27   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   378    0         0.000     1023       14.00     0:00:27   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   376    0         0.000     1023       13.93     0:00:27   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   388    0         0.002     1023       14.29     0:00:27   0:01:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   378    0         0.000     1023       13.96     0:00:27   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   379    0         0.000     1023       13.99     0:00:27   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   377    0         0.000     1023       13.93     0:00:27   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   389    0         0.002     1023       14.27     0:00:27   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   379    0         0.000     1023       13.94     0:00:27   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   380    0         0.000     1023       13.96     0:00:27   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   378    0         0.000     1023       13.90     0:00:27   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   390    0         0.002     1023       14.25     0:00:27   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   380    0         0.000     1023       13.92     0:00:27   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   381    0         0.000     1023       13.95     0:00:27   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   379    0         0.000     1023       13.88     0:00:27   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   391    0         0.002     1023       14.22     0:00:27   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   382    0         0.001     1023       13.89     0:00:27   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   382    0         0.000     1023       13.92     0:00:27   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   380    0         0.000     1023       13.85     0:00:27   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   392    0         0.002     1023       14.21     0:00:27   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   383    0         0.001     1023       13.87     0:00:27   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   383    0         0.000     1023       13.91     0:00:27   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   381    0         0.000     1023       13.84     0:00:27   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   393    0         0.002     1023       14.20     0:00:27   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   384    0         0.001     1023       13.85     0:00:27   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   384    0         0.000     1023       13.90     0:00:27   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   382    0         0.000     1023       13.82     0:00:27   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   394    0         0.001     1023       14.17     0:00:27   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   385    0         0.001     1023       13.82     0:00:27   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   385    0         0.000     1023       13.88     0:00:27   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   383    0         0.000     1023       13.80     0:00:27   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   395    0         0.001     1023       14.15     0:00:27   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   386    0         0.001     1023       13.80     0:00:27   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   386    0         0.000     1023       13.85     0:00:27   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   384    0         0.000     1023       13.77     0:00:27   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   396    0         0.001     1023       14.12     0:00:28   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   386    0         0.001     1023       13.80     0:00:28   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   387    0         0.000     1023       13.83     0:00:28   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   385    0         0.000     1023       13.75     0:00:28   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   397    0         0.001     1023       14.11     0:00:28   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   388    0         0.000     1023       13.77     0:00:28   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   388    0         0.000     1023       13.81     0:00:28   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   386    0         0.000     1023       13.74     0:00:28   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   398    0         0.001     1023       14.10     0:00:28   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   389    0         0.001     1023       13.77     0:00:28   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   390    0         0.000     1023       13.79     0:00:28   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   387    0         0.001     1023       13.72     0:00:28   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   400    0         0.001     1023       14.08     0:00:28   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   390    0         0.001     1023       13.76     0:00:28   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   391    0         0.001     1023       13.78     0:00:28   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   389    0         0.000     1023       13.70     0:00:28   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   400    0         0.001     1023       14.08     0:00:28   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   391    0         0.001     1023       13.74     0:00:28   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   391    0         0.001     1023       13.78     0:00:28   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   389    0         0.000     1023       13.70     0:00:28   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   401    0         0.001     1023       14.04     0:00:28   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   392    0         0.001     1023       13.70     0:00:28   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   392    0         0.001     1023       13.73     0:00:28   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   390    0         0.000     1023       13.65     0:00:28   0:01:59   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   403    0         0.001     1023       14.02     0:00:28   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   393    0         0.001     1023       13.69     0:00:28   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   393    0         0.001     1023       13.72     0:00:28   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   391    0         0.000     1023       13.64     0:00:28   0:01:59   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   404    0         0.001     1023       14.01     0:00:28   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   394    0         0.001     1023       13.68     0:00:28   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   395    0         0.001     1023       13.69     0:00:28   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   393    0         0.000     1023       13.62     0:00:28   0:01:59   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   405    0         0.001     1023       14.00     0:00:28   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   395    0         0.000     1023       13.68     0:00:28   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   396    0         0.001     1023       13.68     0:00:28   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   393    0         0.000     1023       13.62     0:00:28   0:01:59   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   406    0         0.001     1023       13.97     0:00:29   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   396    0         0.000     1023       13.64     0:00:29   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   397    0         0.001     1023       13.66     0:00:29   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   394    0         0.000     1023       13.60     0:00:29   0:01:59   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   407    0         0.001     1023       13.96     0:00:29   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   397    0         0.000     1023       13.62     0:00:29   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   398    0         0.001     1023       13.64     0:00:29   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   395    0         0.000     1023       13.57     0:00:29   0:01:59   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   408    0         0.001     1023       13.94     0:00:29   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   398    0         0.000     1023       13.61     0:00:29   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   399    0         0.001     1023       13.63     0:00:29   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   397    0         0.000     1023       13.55     0:00:29   0:01:59   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   409    0         0.001     1023       13.93     0:00:29   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   400    0         0.000     1023       13.60     0:00:29   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   400    0         0.001     1023       13.61     0:00:29   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   398    0         0.000     1023       13.54     0:00:29   0:01:59   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   411    0         0.001     1023       13.92     0:00:29   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   401    0         0.000     1023       13.59     0:00:29   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   401    0         0.000     1023       13.60     0:00:29   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   399    0         0.000     1023       13.53     0:00:29   0:01:59   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   412    0         0.001     1023       13.91     0:00:29   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   402    0         0.000     1023       13.58     0:00:29   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   402    0         0.000     1023       13.59     0:00:29   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   400    0         0.000     1023       13.53     0:00:29   0:01:59   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   413    0         0.001     1023       13.90     0:00:29   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   403    0         0.000     1023       13.57     0:00:29   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   403    0         0.000     1023       13.58     0:00:29   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   401    0         0.000     1023       13.52     0:00:29   0:01:59   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   415    0         0.001     1023       13.89     0:00:29   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   404    0         0.000     1023       13.56     0:00:29   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   405    0         0.000     1023       13.56     0:00:29   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   403    0         0.000     1023       13.50     0:00:29   0:01:59   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   416    0         0.001     1023       13.88     0:00:29   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   405    0         0.000     1023       13.54     0:00:29   0:01:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   406    0         0.000     1023       13.56     0:00:29   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   404    0         0.000     1023       13.49     0:00:29   0:01:59   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   417    0         0.001     1023       13.87     0:00:30   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   406    0         0.000     1023       13.53     0:00:30   0:01:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   407    0         0.000     1023       13.55     0:00:30   0:01:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   405    0         0.000     1023       13.49     0:00:30   0:02:00   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   418    0         0.001     1023       13.86     0:00:30   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   408    0         0.000     1023       13.51     0:00:30   0:02:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   408    0         0.000     1023       13.54     0:00:30   0:02:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   406    0         0.000     1023       13.48     0:00:30   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   419    0         0.001     1023       13.85     0:00:30   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   409    0         0.000     1023       13.51     0:00:30   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   410    0         0.000     1023       13.52     0:00:30   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   408    0         0.000     1023       13.46     0:00:30   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   421    0         0.001     1023       13.83     0:00:30   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   410    0         0.000     1023       13.50     0:00:30   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   411    0         0.000     1023       13.52     0:00:30   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   409    0         0.000     1023       13.45     0:00:30   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   422    0         0.001     1023       13.82     0:00:30   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   411    0         0.000     1023       13.49     0:00:30   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   412    0         0.000     1023       13.51     0:00:30   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   410    0         0.000     1023       13.44     0:00:30   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   423    0         0.001     1023       13.81     0:00:30   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   412    0         0.000     1023       13.48     0:00:30   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   413    0         0.000     1023       13.51     0:00:30   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   411    0         0.000     1023       13.44     0:00:30   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   424    0         0.001     1023       13.80     0:00:30   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   414    0         0.000     1023       13.47     0:00:30   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   415    0         0.000     1023       13.49     0:00:30   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   412    0         0.000     1023       13.42     0:00:30   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   425    0         0.001     1023       13.79     0:00:30   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   415    0         0.000     1023       13.46     0:00:30   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   416    0         0.000     1023       13.48     0:00:30   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   413    0         0.000     1023       13.41     0:00:30   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   426    0         0.001     1023       13.78     0:00:31   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   416    0         0.000     1023       13.45     0:00:31   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   417    0         0.000     1023       13.48     0:00:31   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   414    0         0.000     1023       13.41     0:00:31   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   428    0         0.001     1023       13.74     0:00:31   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   417    0         0.000     1023       13.41     0:00:31   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   418    0         0.000     1023       13.44     0:00:31   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   415    0         0.000     1023       13.36     0:00:31   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   429    0         0.001     1023       13.73     0:00:31   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   418    0         0.000     1023       13.40     0:00:31   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   419    0         0.000     1023       13.43     0:00:31   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   417    0         0.000     1023       13.35     0:00:31   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   430    0         0.001     1023       13.72     0:00:31   0:02:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   419    0         0.000     1023       13.39     0:00:31   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   420    0         0.000     1023       13.42     0:00:31   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   418    0         0.000     1023       13.34     0:00:31   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   431    0         0.001     1023       13.70     0:00:31   0:02:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   420    0         0.000     1023       13.38     0:00:31   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   421    0         0.000     1023       13.41     0:00:31   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   419    0         0.000     1023       13.33     0:00:31   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   432    0         0.001     1023       13.69     0:00:31   0:02:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   421    0         0.000     1023       13.37     0:00:31   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   422    0         0.000     1023       13.40     0:00:31   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   420    0         0.000     1023       13.32     0:00:31   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   433    0         0.001     1023       13.67     0:00:31   0:02:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   423    0         0.000     1023       13.35     0:00:31   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   423    0         0.000     1023       13.38     0:00:31   0:02:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   421    0         0.000     1023       13.30     0:00:31   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   434    0         0.001     1023       13.67     0:00:31   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   424    0         0.000     1023       13.34     0:00:31   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   425    0         0.000     1023       13.36     0:00:31   0:02:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   422    0         0.000     1023       13.29     0:00:31   0:02:18   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   436    0         0.001     1023       13.65     0:00:31   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   425    0         0.000     1023       13.33     0:00:31   0:02:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   426    0         0.000     1023       13.36     0:00:31   0:02:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   423    0         0.000     1023       13.29     0:00:31   0:02:20   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   437    0         0.001     1023       13.65     0:00:32   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   426    0         0.000     1023       13.33     0:00:32   0:02:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   427    0         0.000     1023       13.36     0:00:32   0:02:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   425    0         0.000     1023       13.27     0:00:32   0:02:23   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   438    0         0.001     1023       13.64     0:00:32   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   428    0         0.000     1023       13.31     0:00:32   0:02:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   429    0         0.000     1023       13.34     0:00:32   0:02:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   426    0         0.000     1023       13.26     0:00:32   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   439    0         0.001     1023       13.63     0:00:32   0:02:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   429    0         0.000     1023       13.30     0:00:32   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   430    0         0.000     1023       13.34     0:00:32   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   427    0         0.000     1023       13.25     0:00:32   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   440    0         0.001     1023       13.63     0:00:32   0:02:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   430    0         0.000     1023       13.28     0:00:32   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   431    0         0.000     1023       13.32     0:00:32   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   428    0         0.000     1023       13.24     0:00:32   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   441    0         0.001     1023       13.61     0:00:32   0:02:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   430    0         0.000     1023       13.28     0:00:32   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   431    0         0.000     1023       13.32     0:00:32   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   429    0         0.000     1023       13.22     0:00:32   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   442    0         0.001     1023       13.59     0:00:32   0:02:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   431    0         0.000     1023       13.26     0:00:32   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   432    0         0.000     1023       13.29     0:00:32   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   430    0         0.000     1023       13.20     0:00:32   0:02:31   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   443    0         0.001     1023       13.56     0:00:32   0:02:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   432    0         0.000     1023       13.24     0:00:32   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   433    0         0.000     1023       13.27     0:00:32   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   431    0         0.000     1023       13.18     0:00:32   0:02:32   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   444    0         0.001     1023       13.55     0:00:32   0:02:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   433    0         0.000     1023       13.22     0:00:32   0:02:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   434    0         0.000     1023       13.26     0:00:32   0:02:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   432    0         0.000     1023       13.17     0:00:32   0:02:34   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   445    0         0.001     1023       13.54     0:00:32   0:02:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   434    0         0.000     1023       13.21     0:00:32   0:02:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   436    0         0.000     1023       13.24     0:00:32   0:02:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   433    0         0.000     1023       13.16     0:00:32   0:02:35   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   447    0         0.001     1023       13.52     0:00:33   0:02:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   436    0         0.000     1023       13.20     0:00:33   0:02:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   437    0         0.000     1023       13.24     0:00:33   0:02:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   434    0         0.000     1023       13.16     0:00:33   0:02:36   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   448    0         0.001     1023       13.51     0:00:33   0:02:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   437    0         0.000     1023       13.19     0:00:33   0:02:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   438    0         0.000     1023       13.23     0:00:33   0:02:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   435    0         0.000     1023       13.15     0:00:33   0:02:37   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   449    0         0.001     1023       13.49     0:00:33   0:02:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   438    0         0.000     1023       13.17     0:00:33   0:02:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   439    0         0.000     1023       13.22     0:00:33   0:02:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   436    0         0.000     1023       13.14     0:00:33   0:02:39   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   450    0         0.001     1023       13.45     0:00:33   0:02:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   439    0         0.000     1023       13.13     0:00:33   0:02:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   440    0         0.000     1023       13.17     0:00:33   0:02:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   437    0         0.000     1023       13.09     0:00:33   0:02:42   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   451    0         0.001     1023       13.45     0:00:33   0:02:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   440    0         0.000     1023       13.12     0:00:33   0:02:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   442    0         0.000     1023       13.17     0:00:33   0:02:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   439    0         0.000     1023       13.08     0:00:33   0:02:45   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   452    0         0.001     1023       13.44     0:00:33   0:02:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   441    0         0.000     1023       13.11     0:00:33   0:02:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   443    0         0.000     1023       13.16     0:00:33   0:02:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   440    0         0.000     1023       13.07     0:00:33   0:02:46   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   454    0         0.001     1023       13.43     0:00:33   0:02:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   442    0         0.000     1023       13.10     0:00:33   0:02:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   444    0         0.000     1023       13.16     0:00:33   0:02:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   441    0         0.000     1023       13.07     0:00:33   0:02:47   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   455    0         0.001     1023       13.42     0:00:33   0:02:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   443    0         0.000     1023       13.09     0:00:33   0:02:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   445    0         0.000     1023       13.15     0:00:33   0:02:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   442    0         0.000     1023       13.06     0:00:33   0:02:48   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   456    0         0.001     1023       13.41     0:00:34   0:03:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   445    0         0.000     1023       13.08     0:00:34   0:02:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   447    0         0.000     1023       13.14     0:00:34   0:02:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   444    0         0.000     1023       13.05     0:00:34   0:02:51   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   456    0         0.001     1023       13.41     0:00:34   0:03:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   445    0         0.000     1023       13.08     0:00:34   0:02:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   447    0         0.000     1023       13.14     0:00:34   0:02:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   444    0         0.000     1023       13.05     0:00:34   0:02:51   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   457    0         0.001     1023       13.38     0:00:34   0:03:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   446    0         0.000     1023       13.05     0:00:34   0:02:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   448    0         0.000     1023       13.12     0:00:34   0:02:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   445    0         0.000     1023       13.03     0:00:34   0:02:52   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   458    0         0.001     1023       13.35     0:00:34   0:03:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   447    0         0.000     1023       13.03     0:00:34   0:02:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   449    0         0.000     1023       13.09     0:00:34   0:02:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   446    0         0.001     1023       13.00     0:00:34   0:02:54   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   459    0         0.000     1023       13.33     0:00:34   0:03:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   448    0         0.000     1023       13.01     0:00:34   0:02:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   450    0         0.000     1023       13.07     0:00:34   0:02:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   447    0         0.001     1023       12.98     0:00:34   0:02:56   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   460    0         0.000     1023       13.31     0:00:34   0:03:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   449    0         0.000     1023       12.99     0:00:34   0:02:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   451    0         0.000     1023       13.05     0:00:34   0:02:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   448    0         0.001     1023       12.96     0:00:34   0:02:58   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   461    0         0.000     1023       13.30     0:00:34   0:03:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   450    0         0.000     1023       12.98     0:00:34   0:02:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   452    0         0.000     1023       13.05     0:00:34   0:02:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   449    0         0.001     1023       12.96     0:00:34   0:02:58   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   462    0         0.000     1023       13.30     0:00:34   0:03:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   451    0         0.000     1023       12.98     0:00:34   0:02:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   453    0         0.000     1023       13.04     0:00:34   0:02:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   450    0         0.001     1023       12.94     0:00:34   0:03:00   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   464    0         0.000     1023       13.28     0:00:34   0:02:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   453    0         0.000     1023       12.97     0:00:34   0:02:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   455    0         0.000     1023       13.02     0:00:34   0:02:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   451    0         0.001     1023       12.94     0:00:34   0:03:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   465    0         0.000     1023       13.27     0:00:35   0:02:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   454    0         0.000     1023       12.96     0:00:35   0:03:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   456    0         0.000     1023       13.02     0:00:35   0:02:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   453    0         0.000     1023       12.93     0:00:35   0:03:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   466    0         0.000     1023       13.26     0:00:35   0:02:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   455    0         0.000     1023       12.95     0:00:35   0:03:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   457    0         0.000     1023       13.02     0:00:35   0:03:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   454    0         0.000     1023       12.92     0:00:35   0:03:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   467    0         0.000     1023       13.26     0:00:35   0:02:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   456    0         0.000     1023       12.95     0:00:35   0:03:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   458    0         0.000     1023       13.00     0:00:35   0:03:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   455    0         0.001     1023       12.91     0:00:35   0:03:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   468    0         0.000     1023       13.25     0:00:35   0:02:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   457    0         0.000     1023       12.93     0:00:35   0:03:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   459    0         0.000     1023       12.99     0:00:35   0:03:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   456    0         0.000     1023       12.90     0:00:35   0:03:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   469    0         0.000     1023       13.23     0:00:35   0:02:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   458    0         0.000     1023       12.92     0:00:35   0:03:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   460    0         0.000     1023       12.98     0:00:35   0:03:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   457    0         0.000     1023       12.88     0:00:35   0:03:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   470    0         0.000     1023       13.22     0:00:35   0:02:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   458    0         0.000     1023       12.92     0:00:35   0:03:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   461    0         0.000     1023       12.97     0:00:35   0:03:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   457    0         0.000     1023       12.88     0:00:35   0:03:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   470    0         0.000     1023       13.22     0:00:35   0:02:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   459    0         0.000     1023       12.87     0:00:35   0:03:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   461    0         0.000     1023       12.97     0:00:35   0:03:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   458    0         0.001     1023       12.84     0:00:35   0:03:04   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   472    0         0.000     1023       13.15     0:00:35   0:02:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   460    0         0.000     1023       12.85     0:00:35   0:03:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   463    0         0.000     1023       12.91     0:00:35   0:03:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   459    0         0.001     1023       12.82     0:00:35   0:03:04   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   473    0         0.000     1023       13.14     0:00:36   0:02:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   462    0         0.000     1023       12.84     0:00:36   0:03:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   464    0         0.000     1023       12.90     0:00:36   0:03:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   460    0         0.001     1023       12.81     0:00:35   0:03:04   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   474    0         0.000     1023       13.13     0:00:36   0:02:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   463    0         0.000     1023       12.82     0:00:36   0:03:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   465    0         0.000     1023       12.89     0:00:36   0:03:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   461    0         0.001     1023       12.79     0:00:36   0:03:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   475    0         0.000     1023       13.11     0:00:36   0:02:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   464    0         0.000     1023       12.81     0:00:36   0:03:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   466    0         0.000     1023       12.87     0:00:36   0:03:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   462    0         0.001     1023       12.78     0:00:36   0:03:04   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   475    0         0.000     1023       13.11     0:00:36   0:02:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   464    0         0.000     1023       12.81     0:00:36   0:03:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   466    0         0.000     1023       12.87     0:00:36   0:03:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   463    0         0.001     1023       12.76     0:00:36   0:03:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   476    0         0.000     1023       13.09     0:00:36   0:02:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   465    0         0.000     1023       12.78     0:00:36   0:03:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   467    0         0.000     1023       12.85     0:00:36   0:03:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   464    0         0.001     1023       12.74     0:00:36   0:03:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   477    0         0.000     1023       13.07     0:00:36   0:02:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   466    0         0.000     1023       12.76     0:00:36   0:03:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   468    0         0.000     1023       12.83     0:00:36   0:03:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   465    0         0.001     1023       12.72     0:00:36   0:03:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   478    0         0.000     1023       13.06     0:00:36   0:02:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   467    0         0.000     1023       12.76     0:00:36   0:03:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   469    0         0.000     1023       12.82     0:00:36   0:03:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   466    0         0.001     1023       12.71     0:00:36   0:03:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   479    0         0.000     1023       13.04     0:00:36   0:02:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   468    0         0.000     1023       12.73     0:00:36   0:03:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   470    0         0.000     1023       12.80     0:00:36   0:03:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   467    0         0.001     1023       12.68     0:00:36   0:03:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   480    0         0.000     1023       13.01     0:00:36   0:02:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   469    0         0.000     1023       12.70     0:00:36   0:03:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   471    0         0.000     1023       12.77     0:00:36   0:03:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   468    0         0.001     1023       12.66     0:00:36   0:03:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   481    0         0.000     1023       12.99     0:00:37   0:02:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   470    0         0.000     1023       12.69     0:00:37   0:03:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   472    0         0.000     1023       12.75     0:00:37   0:03:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   468    0         0.001     1023       12.66     0:00:37   0:03:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   482    0         0.000     1023       12.97     0:00:37   0:02:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   471    0         0.000     1023       12.67     0:00:37   0:03:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   473    0         0.000     1023       12.74     0:00:37   0:03:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   470    0         0.001     1023       12.63     0:00:37   0:03:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   483    0         0.000     1023       12.96     0:00:37   0:02:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   472    0         0.000     1023       12.66     0:00:37   0:03:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   474    0         0.000     1023       12.72     0:00:37   0:02:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   471    0         0.001     1023       12.62     0:00:37   0:03:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   484    0         0.000     1023       12.95     0:00:37   0:02:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   473    0         0.000     1023       12.65     0:00:37   0:03:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   475    0         0.000     1023       12.71     0:00:37   0:02:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   471    0         0.001     1023       12.62     0:00:37   0:03:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   485    0         0.000     1023       12.93     0:00:37   0:02:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   474    0         0.000     1023       12.63     0:00:37   0:03:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   476    0         0.000     1023       12.70     0:00:37   0:02:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   472    0         0.001     1023       12.60     0:00:37   0:03:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   486    0         0.000     1023       12.91     0:00:37   0:02:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   475    0         0.000     1023       12.62     0:00:37   0:03:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   477    0         0.000     1023       12.68     0:00:37   0:02:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   473    0         0.001     1023       12.59     0:00:37   0:03:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   486    0         0.000     1023       12.91     0:00:37   0:02:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   475    0         0.000     1023       12.62     0:00:37   0:03:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   477    0         0.000     1023       12.68     0:00:37   0:02:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   474    0         0.001     1023       12.56     0:00:37   0:03:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   487    0         0.000     1023       12.87     0:00:37   0:02:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   475    0         0.000     1023       12.62     0:00:37   0:03:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   478    0         0.000     1023       12.64     0:00:37   0:02:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   474    0         0.001     1023       12.56     0:00:37   0:03:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   488    0         0.000     1023       12.83     0:00:38   0:02:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   477    0         0.000     1023       12.53     0:00:38   0:03:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   479    0         0.000     1023       12.59     0:00:38   0:03:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   475    0         0.001     1023       12.50     0:00:38   0:03:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   489    0         0.000     1023       12.81     0:00:38   0:02:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   477    0         0.000     1023       12.53     0:00:38   0:03:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   480    0         0.000     1023       12.57     0:00:38   0:03:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   476    0         0.001     1023       12.49     0:00:38   0:03:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   489    0         0.000     1023       12.81     0:00:38   0:02:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   478    0         0.001     1023       12.52     0:00:38   0:03:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   480    0         0.000     1023       12.57     0:00:38   0:03:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   477    0         0.001     1023       12.47     0:00:38   0:03:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   490    0         0.000     1023       12.79     0:00:38   0:02:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   479    0         0.001     1023       12.50     0:00:38   0:03:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   481    0         0.000     1023       12.56     0:00:38   0:02:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   478    0         0.001     1023       12.46     0:00:38   0:03:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   491    0         0.000     1023       12.78     0:00:38   0:02:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   480    0         0.001     1023       12.49     0:00:38   0:03:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   482    0         0.000     1023       12.55     0:00:38   0:02:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   479    0         0.001     1023       12.44     0:00:38   0:03:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   492    0         0.000     1023       12.76     0:00:38   0:02:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   481    0         0.001     1023       12.47     0:00:38   0:03:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   483    0         0.000     1023       12.53     0:00:38   0:02:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   479    0         0.001     1023       12.44     0:00:38   0:03:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   493    0         0.000     1023       12.74     0:00:38   0:02:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   482    0         0.001     1023       12.45     0:00:38   0:03:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   484    0         0.000     1023       12.51     0:00:38   0:02:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   480    0         0.001     1023       12.43     0:00:38   0:03:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   494    0         0.000     1023       12.72     0:00:38   0:02:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   483    0         0.001     1023       12.44     0:00:38   0:03:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   485    0         0.000     1023       12.50     0:00:38   0:02:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   481    0         0.001     1023       12.41     0:00:38   0:03:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   495    0         0.000     1023       12.71     0:00:38   0:02:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   484    0         0.001     1023       12.43     0:00:38   0:02:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   486    0         0.000     1023       12.48     0:00:38   0:02:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   482    0         0.001     1023       12.40     0:00:38   0:03:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   496    0         0.000     1023       12.71     0:00:39   0:02:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   485    0         0.001     1023       12.42     0:00:39   0:02:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   487    0         0.000     1023       12.48     0:00:39   0:02:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   483    0         0.001     1023       12.39     0:00:39   0:03:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   497    0         0.000     1023       12.70     0:00:39   0:02:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   486    0         0.001     1023       12.41     0:00:39   0:02:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   488    0         0.000     1023       12.47     0:00:39   0:02:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   484    0         0.001     1023       12.38     0:00:39   0:03:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   498    0         0.000     1023       12.69     0:00:39   0:02:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   487    0         0.001     1023       12.39     0:00:39   0:02:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   489    0         0.000     1023       12.46     0:00:39   0:02:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   485    0         0.001     1023       12.37     0:00:39   0:03:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   499    0         0.000     1023       12.68     0:00:39   0:02:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   488    0         0.001     1023       12.39     0:00:39   0:02:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   490    0         0.000     1023       12.45     0:00:39   0:02:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   487    0         0.001     1023       12.36     0:00:39   0:02:59   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   501    0         0.000     1023       12.67     0:00:39   0:02:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   489    0         0.001     1023       12.38     0:00:39   0:02:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   491    0         0.000     1023       12.45     0:00:39   0:02:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   488    0         0.001     1023       12.35     0:00:39   0:02:59   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   502    0         0.000     1023       12.67     0:00:39   0:02:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   490    0         0.001     1023       12.38     0:00:39   0:02:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   492    0         0.000     1023       12.44     0:00:39   0:02:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   489    0         0.001     1023       12.35     0:00:39   0:02:59   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   503    0         0.000     1023       12.66     0:00:39   0:02:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   491    0         0.001     1023       12.37     0:00:39   0:02:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   494    0         0.000     1023       12.43     0:00:39   0:02:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   490    0         0.001     1023       12.34     0:00:39   0:02:59   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   504    0         0.000     1023       12.65     0:00:39   0:02:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   492    0         0.001     1023       12.36     0:00:39   0:02:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   495    0         0.000     1023       12.42     0:00:39   0:02:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   491    0         0.001     1023       12.34     0:00:39   0:02:58   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   504    0         0.000     1023       12.65     0:00:39   0:02:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   492    0         0.001     1023       12.36     0:00:39   0:02:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   495    0         0.000     1023       12.42     0:00:39   0:02:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   491    0         0.001     1023       12.34     0:00:39   0:02:58   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   505    0         0.000     1023       12.61     0:00:40   0:02:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   493    0         0.001     1023       12.32     0:00:40   0:02:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   496    0         0.000     1023       12.38     0:00:40   0:02:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   492    0         0.001     1023       12.30     0:00:40   0:02:58   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   506    0         0.000     1023       12.60     0:00:40   0:02:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   494    0         0.001     1023       12.31     0:00:40   0:02:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   497    0         0.000     1023       12.37     0:00:40   0:02:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   493    0         0.001     1023       12.29     0:00:40   0:02:58   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   507    0         0.000     1023       12.59     0:00:40   0:02:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   495    0         0.001     1023       12.30     0:00:40   0:02:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   498    0         0.000     1023       12.36     0:00:40   0:02:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   494    0         0.001     1023       12.28     0:00:40   0:02:58   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   508    0         0.000     1023       12.58     0:00:40   0:02:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   496    0         0.001     1023       12.28     0:00:40   0:02:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   498    0         0.000     1023       12.36     0:00:40   0:02:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   495    0         0.001     1023       12.25     0:00:40   0:02:57   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   509    0         0.000     1023       12.57     0:00:40   0:02:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   496    0         0.001     1023       12.28     0:00:40   0:02:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   499    0         0.000     1023       12.33     0:00:40   0:02:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   496    0         0.001     1023       12.24     0:00:40   0:02:57   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   510    0         0.000     1023       12.56     0:00:40   0:02:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   498    0         0.001     1023       12.24     0:00:40   0:02:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   500    0         0.000     1023       12.32     0:00:40   0:02:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   497    0         0.001     1023       12.23     0:00:40   0:02:57   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   511    0         0.000     1023       12.55     0:00:40   0:02:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   499    0         0.001     1023       12.23     0:00:40   0:02:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   501    0         0.000     1023       12.31     0:00:40   0:02:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   498    0         0.001     1023       12.22     0:00:40   0:02:56   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   512    0         0.000     1023       12.54     0:00:40   0:02:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   500    0         0.001     1023       12.23     0:00:40   0:02:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   502    0         0.000     1023       12.30     0:00:40   0:02:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   499    0         0.001     1023       12.22     0:00:40   0:02:56   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   513    0         0.000     1023       12.53     0:00:41   0:02:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   501    0         0.001     1023       12.22     0:00:41   0:02:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   503    0         0.000     1023       12.29     0:00:41   0:02:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   500    0         0.001     1023       12.21     0:00:41   0:02:56   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   514    0         0.000     1023       12.52     0:00:41   0:02:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   502    0         0.001     1023       12.21     0:00:41   0:02:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   504    0         0.000     1023       12.28     0:00:41   0:02:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   501    0         0.001     1023       12.20     0:00:41   0:02:56   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   515    0         0.000     1023       12.51     0:00:41   0:02:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   503    0         0.001     1023       12.20     0:00:41   0:02:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   505    0         0.000     1023       12.27     0:00:41   0:02:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   502    0         0.001     1023       12.19     0:00:41   0:02:56   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   517    0         0.000     1023       12.50     0:00:41   0:02:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   504    0         0.001     1023       12.20     0:00:41   0:02:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   506    0         0.000     1023       12.26     0:00:41   0:02:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   503    0         0.001     1023       12.18     0:00:41   0:02:55   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   518    0         0.000     1023       12.49     0:00:41   0:02:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   505    0         0.001     1023       12.19     0:00:41   0:02:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   508    0         0.000     1023       12.25     0:00:41   0:02:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   504    0         0.001     1023       12.17     0:00:41   0:02:55   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   519    0         0.000     1023       12.49     0:00:41   0:02:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   506    0         0.001     1023       12.19     0:00:41   0:02:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   509    0         0.000     1023       12.25     0:00:41   0:02:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   505    0         0.001     1023       12.17     0:00:41   0:02:55   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   520    0         0.000     1023       12.48     0:00:41   0:02:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   507    0         0.001     1023       12.18     0:00:41   0:02:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   510    0         0.000     1023       12.25     0:00:41   0:02:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   506    0         0.001     1023       12.16     0:00:41   0:02:55   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   521    0         0.000     1023       12.48     0:00:41   0:02:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   509    0         0.001     1023       12.17     0:00:41   0:02:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   511    0         0.000     1023       12.24     0:00:41   0:02:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   508    0         0.001     1023       12.16     0:00:41   0:02:54   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   522    0         0.000     1023       12.48     0:00:41   0:02:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   509    0         0.001     1023       12.17     0:00:41   0:02:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   512    0         0.000     1023       12.24     0:00:41   0:02:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   508    0         0.001     1023       12.16     0:00:41   0:02:54   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   523    0         0.000     1023       12.45     0:00:42   0:02:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   510    0         0.001     1023       12.15     0:00:42   0:02:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   513    0         0.000     1023       12.22     0:00:42   0:02:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   509    0         0.001     1023       12.13     0:00:42   0:02:54   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   524    0         0.000     1023       12.45     0:00:42   0:02:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   512    0         0.001     1023       12.15     0:00:42   0:02:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   514    0         0.000     1023       12.22     0:00:42   0:02:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   511    0         0.001     1023       12.13     0:00:42   0:02:54   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   525    0         0.000     1023       12.44     0:00:42   0:02:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   513    0         0.001     1023       12.14     0:00:42   0:02:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   515    0         0.000     1023       12.21     0:00:42   0:02:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   512    0         0.001     1023       12.12     0:00:42   0:02:54   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   527    0         0.000     1023       12.44     0:00:42   0:02:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   514    0         0.001     1023       12.14     0:00:42   0:02:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   517    0         0.001     1023       12.21     0:00:42   0:02:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   513    0         0.001     1023       12.12     0:00:42   0:02:54   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   528    0         0.000     1023       12.43     0:00:42   0:02:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   515    0         0.001     1023       12.13     0:00:42   0:02:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   518    0         0.001     1023       12.20     0:00:42   0:02:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   514    0         0.001     1023       12.11     0:00:42   0:02:53   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   529    0         0.000     1023       12.43     0:00:42   0:02:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   516    0         0.001     1023       12.13     0:00:42   0:02:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   519    0         0.001     1023       12.19     0:00:42   0:02:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   515    0         0.001     1023       12.11     0:00:42   0:02:53   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   530    0         0.000     1023       12.43     0:00:42   0:02:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   518    0         0.001     1023       12.13     0:00:42   0:02:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   520    0         0.001     1023       12.19     0:00:42   0:02:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   517    0         0.001     1023       12.11     0:00:42   0:02:53   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   531    0         0.000     1023       12.42     0:00:42   0:02:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   519    0         0.001     1023       12.12     0:00:42   0:02:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   521    0         0.001     1023       12.18     0:00:42   0:02:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   518    0         0.001     1023       12.10     0:00:42   0:02:52   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   533    0         0.000     1023       12.41     0:00:42   0:02:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   520    0         0.001     1023       12.11     0:00:42   0:02:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   522    0         0.001     1023       12.18     0:00:42   0:02:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   519    0         0.001     1023       12.09     0:00:42   0:02:52   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   534    0         0.000     1023       12.41     0:00:43   0:02:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   521    0         0.001     1023       12.11     0:00:43   0:02:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   523    0         0.001     1023       12.17     0:00:43   0:02:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   520    0         0.001     1023       12.09     0:00:43   0:02:52   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   535    0         0.000     1023       12.41     0:00:43   0:02:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   522    0         0.001     1023       12.11     0:00:43   0:02:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   524    0         0.001     1023       12.17     0:00:43   0:02:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   521    0         0.001     1023       12.09     0:00:43   0:02:52   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   536    0         0.000     1023       12.40     0:00:43   0:02:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   524    0         0.001     1023       12.11     0:00:43   0:02:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   526    0         0.001     1023       12.16     0:00:43   0:02:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   522    0         0.001     1023       12.09     0:00:43   0:02:52   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   537    0         0.000     1023       12.40     0:00:43   0:02:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   525    0         0.001     1023       12.11     0:00:43   0:02:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   527    0         0.001     1023       12.15     0:00:43   0:02:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   524    0         0.001     1023       12.08     0:00:43   0:02:51   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   539    0         0.000     1023       12.39     0:00:43   0:02:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   526    0         0.001     1023       12.10     0:00:43   0:02:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   528    0         0.001     1023       12.15     0:00:43   0:02:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   525    0         0.001     1023       12.07     0:00:43   0:02:51   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   540    0         0.000     1023       12.39     0:00:43   0:02:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   527    0         0.001     1023       12.10     0:00:43   0:02:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   529    0         0.001     1023       12.15     0:00:43   0:02:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   526    0         0.001     1023       12.07     0:00:43   0:02:51   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   540    0         0.000     1023       12.39     0:00:43   0:02:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   528    0         0.001     1023       12.10     0:00:43   0:02:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   530    0         0.001     1023       12.15     0:00:43   0:02:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   526    0         0.001     1023       12.07     0:00:43   0:02:51   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   542    0         0.000     1023       12.36     0:00:43   0:02:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   529    0         0.001     1023       12.07     0:00:43   0:02:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   531    0         0.001     1023       12.13     0:00:43   0:02:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   528    0         0.001     1023       12.05     0:00:43   0:02:51   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   543    0         0.000     1023       12.36     0:00:43   0:02:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   530    0         0.001     1023       12.07     0:00:43   0:02:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   533    0         0.001     1023       12.13     0:00:43   0:02:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   529    0         0.001     1023       12.04     0:00:43   0:02:50   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   544    0         0.000     1023       12.36     0:00:44   0:02:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   531    0         0.001     1023       12.06     0:00:44   0:02:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   534    0         0.001     1023       12.12     0:00:44   0:02:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   530    0         0.001     1023       12.04     0:00:44   0:02:50   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   545    0         0.000     1023       12.36     0:00:44   0:02:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   532    0         0.001     1023       12.06     0:00:44   0:02:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   535    0         0.001     1023       12.12     0:00:44   0:02:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   531    0         0.001     1023       12.04     0:00:44   0:02:50   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   547    0         0.000     1023       12.35     0:00:44   0:02:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   534    0         0.001     1023       12.06     0:00:44   0:02:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   536    0         0.001     1023       12.12     0:00:44   0:02:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   533    0         0.001     1023       12.04     0:00:44   0:02:49   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   548    0         0.000     1023       12.35     0:00:44   0:02:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   535    0         0.001     1023       12.06     0:00:44   0:02:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   537    0         0.001     1023       12.11     0:00:44   0:02:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   534    0         0.001     1023       12.03     0:00:44   0:02:49   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   549    0         0.000     1023       12.34     0:00:44   0:02:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   536    0         0.001     1023       12.05     0:00:44   0:02:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   538    0         0.001     1023       12.10     0:00:44   0:02:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   535    0         0.001     1023       12.03     0:00:44   0:02:49   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   550    0         0.000     1023       12.33     0:00:44   0:02:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   537    0         0.001     1023       12.04     0:00:44   0:02:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   540    0         0.001     1023       12.10     0:00:44   0:02:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   536    0         0.001     1023       12.02     0:00:44   0:02:49   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   551    0         0.000     1023       12.32     0:00:44   0:02:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   538    0         0.001     1023       12.04     0:00:44   0:02:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   541    0         0.001     1023       12.09     0:00:44   0:02:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   538    0         0.001     1023       12.02     0:00:44   0:02:48   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   553    0         0.000     1023       12.32     0:00:44   0:02:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   539    0         0.001     1023       12.03     0:00:44   0:02:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   542    0         0.001     1023       12.09     0:00:44   0:02:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   539    0         0.001     1023       12.02     0:00:44   0:02:48   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   554    0         0.000     1023       12.32     0:00:44   0:02:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   541    0         0.001     1023       12.03     0:00:44   0:02:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   543    0         0.001     1023       12.09     0:00:44   0:02:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   540    0         0.001     1023       12.01     0:00:44   0:02:48   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   555    0         0.000     1023       12.31     0:00:45   0:02:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   542    0         0.001     1023       12.03     0:00:45   0:02:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   544    0         0.001     1023       12.09     0:00:45   0:02:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   541    0         0.001     1023       12.01     0:00:45   0:02:48   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   556    0         0.000     1023       12.31     0:00:45   0:02:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   544    0         0.001     1023       12.03     0:00:45   0:02:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   545    0         0.001     1023       12.08     0:00:45   0:02:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   543    0         0.001     1023       12.01     0:00:45   0:02:47   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   558    0         0.000     1023       12.31     0:00:45   0:02:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   545    0         0.001     1023       12.02     0:00:45   0:02:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   547    0         0.001     1023       12.07     0:00:45   0:02:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   544    0         0.001     1023       12.01     0:00:45   0:02:46   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   559    0         0.000     1023       12.31     0:00:45   0:02:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   546    0         0.001     1023       12.02     0:00:45   0:02:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   548    0         0.001     1023       12.07     0:00:45   0:02:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   545    0         0.001     1023       12.00     0:00:45   0:02:46   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   559    0         0.000     1023       12.31     0:00:45   0:02:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   546    0         0.001     1023       12.02     0:00:45   0:02:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   548    0         0.001     1023       12.07     0:00:45   0:02:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   545    0         0.001     1023       12.00     0:00:45   0:02:46   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   561    0         0.000     1023       12.28     0:00:45   0:02:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   547    0         0.001     1023       12.00     0:00:45   0:02:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   549    0         0.001     1023       12.04     0:00:45   0:02:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   547    0         0.001     1023       11.98     0:00:45   0:02:46   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   562    0         0.000     1023       12.28     0:00:45   0:02:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   549    0         0.001     1023       11.99     0:00:45   0:02:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   550    0         0.001     1023       12.04     0:00:45   0:02:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   548    0         0.001     1023       11.98     0:00:45   0:02:46   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   563    0         0.000     1023       12.27     0:00:45   0:02:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   550    0         0.001     1023       11.99     0:00:45   0:02:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   551    0         0.001     1023       12.03     0:00:45   0:02:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   549    0         0.001     1023       11.97     0:00:45   0:02:46   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   564    0         0.000     1023       12.26     0:00:46   0:02:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   551    0         0.001     236        12.00     0:00:46   0:02:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   553    0         0.001     1023       12.02     0:00:46   0:02:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   550    0         0.001     1023       11.96     0:00:46   0:02:46   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   565    0         0.000     1023       12.26     0:00:46   0:02:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   553    0         0.001     1023       11.99     0:00:46   0:02:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   554    0         0.001     1023       12.02     0:00:46   0:02:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   551    0         0.001     1023       11.96     0:00:46   0:02:46   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   566    0         0.000     1023       12.26     0:00:46   0:02:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   554    0         0.001     1023       11.99     0:00:46   0:02:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   555    0         0.001     1023       12.01     0:00:46   0:02:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   552    0         0.001     1023       11.96     0:00:46   0:02:45   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   568    0         0.000     1023       12.25     0:00:46   0:02:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   555    0         0.001     1023       11.99     0:00:46   0:02:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   556    0         0.001     1023       12.02     0:00:46   0:02:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   553    0         0.001     1023       11.96     0:00:46   0:02:44   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   569    0         0.000     1023       12.25     0:00:46   0:02:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   556    0         0.001     1023       11.98     0:00:46   0:02:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   558    0         0.001     1023       12.01     0:00:46   0:02:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   554    0         0.001     1023       11.95     0:00:46   0:02:44   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   570    0         0.000     1023       12.25     0:00:46   0:02:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   557    0         0.001     1023       11.98     0:00:46   0:02:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   559    0         0.001     1023       12.01     0:00:46   0:02:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   556    0         0.001     1023       11.94     0:00:46   0:02:44   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   571    0         0.000     1023       12.24     0:00:46   0:02:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   558    0         0.001     1023       11.97     0:00:46   0:02:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   560    0         0.001     1023       12.00     0:00:46   0:02:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   557    0         0.001     1023       11.94     0:00:46   0:02:44   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   572    0         0.000     1023       12.24     0:00:46   0:02:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   560    0         0.001     1023       11.96     0:00:46   0:02:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   561    0         0.001     1023       11.99     0:00:46   0:02:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   558    0         0.001     1023       11.93     0:00:46   0:02:43   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   573    0         0.000     1023       12.24     0:00:46   0:02:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   560    0         0.001     1023       11.96     0:00:46   0:02:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   562    0         0.001     1023       11.99     0:00:46   0:02:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   559    0         0.001     1023       11.93     0:00:46   0:02:43   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   574    0         0.000     1023       12.23     0:00:47   0:02:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   561    0         0.001     1023       11.95     0:00:47   0:02:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   563    0         0.001     1023       11.98     0:00:47   0:02:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   560    0         0.001     1023       11.92     0:00:47   0:02:43   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   575    0         0.000     1023       12.22     0:00:47   0:02:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   562    0         0.001     1023       11.94     0:00:47   0:02:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   564    0         0.001     1023       11.97     0:00:47   0:02:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   561    0         0.001     1023       11.91     0:00:47   0:02:42   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   576    0         0.000     1023       12.21     0:00:47   0:02:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   563    0         0.001     1023       11.94     0:00:47   0:02:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   564    0         0.001     1023       11.97     0:00:47   0:02:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   561    0         0.001     1023       11.91     0:00:47   0:02:42   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   577    0         0.000     1023       12.19     0:00:47   0:02:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   564    0         0.001     1023       11.92     0:00:47   0:02:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   566    0         0.001     1023       11.95     0:00:47   0:02:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   563    0         0.001     1023       11.89     0:00:47   0:02:42   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   578    0         0.000     1023       12.19     0:00:47   0:02:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   565    0         0.001     1023       11.92     0:00:47   0:02:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   567    0         0.001     1023       11.94     0:00:47   0:02:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   564    0         0.001     1023       11.89     0:00:47   0:02:42   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   579    0         0.000     1023       12.19     0:00:47   0:02:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   566    0         0.001     1023       11.91     0:00:47   0:02:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   568    0         0.001     1023       11.94     0:00:47   0:02:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   565    0         0.001     1023       11.88     0:00:47   0:02:42   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   581    0         0.000     1023       12.18     0:00:47   0:02:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   568    0         0.001     1023       11.91     0:00:47   0:02:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   569    0         0.001     1023       11.93     0:00:47   0:02:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   566    0         0.001     1023       11.88     0:00:47   0:02:42   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   582    0         0.000     1023       12.18     0:00:47   0:02:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   569    0         0.001     1023       11.91     0:00:47   0:02:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   570    0         0.001     1023       11.93     0:00:47   0:02:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   567    0         0.001     1023       11.88     0:00:47   0:02:41   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   583    0         0.000     1023       12.17     0:00:47   0:02:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   570    0         0.001     1023       11.91     0:00:47   0:02:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   571    0         0.001     1023       11.93     0:00:47   0:02:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   568    0         0.001     1023       11.87     0:00:47   0:02:41   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   584    0         0.000     1023       12.17     0:00:48   0:02:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   571    0         0.001     1023       11.90     0:00:48   0:02:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   572    0         0.001     1023       11.92     0:00:48   0:02:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   570    0         0.001     1023       11.87     0:00:48   0:02:40   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   585    0         0.000     1023       12.17     0:00:48   0:02:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   573    0         0.001     1023       11.90     0:00:48   0:02:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   574    0         0.001     1023       11.92     0:00:48   0:02:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m   571    0         0.001     1023       11.87     0:00:48   0:02:40   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   587    0         0.000     1023       12.16     0:00:48   0:02:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   574    0         0.000     1023       11.90     0:00:48   0:02:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   575    0         0.001     1023       11.92     0:00:48   0:02:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   572    0         0.001     1023       11.86     0:00:48   0:02:39   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   588    0         0.000     1023       12.16     0:00:48   0:02:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   575    0         0.000     1023       11.90     0:00:48   0:02:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   576    0         0.001     1023       11.92     0:00:48   0:02:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   573    0         0.001     1023       11.86     0:00:48   0:02:39   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   589    0         0.000     1023       12.16     0:00:48   0:02:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   576    0         0.001     1023       11.89     0:00:48   0:02:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   577    0         0.001     1023       11.91     0:00:48   0:02:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   574    0         0.001     1023       11.86     0:00:48   0:02:39   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   590    0         0.000     1023       12.15     0:00:48   0:02:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   577    0         0.000     1023       11.89     0:00:48   0:02:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   578    0         0.001     1023       11.91     0:00:48   0:02:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   575    0         0.001     1023       11.85     0:00:48   0:02:38   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   591    0         0.000     1023       12.14     0:00:48   0:02:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   578    0         0.001     1023       11.88     0:00:48   0:02:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   579    0         0.001     1023       11.90     0:00:48   0:02:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   576    0         0.001     1023       11.84     0:00:48   0:02:38   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   592    0         0.000     1023       12.11     0:00:48   0:02:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   579    0         0.001     1023       11.85     0:00:48   0:02:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   580    0         0.001     1023       11.87     0:00:48   0:02:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   577    0         0.001     1023       11.82     0:00:48   0:02:38   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   593    0         0.000     1023       12.10     0:00:49   0:02:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   580    0         0.001     1023       11.84     0:00:49   0:02:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   581    0         0.001     1023       11.86     0:00:49   0:02:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   578    0         0.001     1023       11.81     0:00:49   0:02:38   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   594    0         0.000     1023       12.09     0:00:49   0:02:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   581    0         0.001     1023       11.83     0:00:49   0:02:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   582    0         0.001     1023       11.85     0:00:49   0:02:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   579    0         0.001     1023       11.80     0:00:49   0:02:38   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   595    0         0.000     1023       12.09     0:00:49   0:02:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   582    0         0.001     1023       11.83     0:00:49   0:02:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   583    0         0.001     1023       11.85     0:00:49   0:02:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   580    0         0.001     1023       11.80     0:00:49   0:02:37   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   596    0         0.000     1023       12.09     0:00:49   0:02:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   583    0         0.001     1023       11.83     0:00:49   0:02:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   584    0         0.001     1023       11.85     0:00:49   0:02:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   581    0         0.001     1023       11.79     0:00:49   0:02:37   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   597    0         0.000     1023       12.08     0:00:49   0:02:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   584    0         0.000     1023       11.83     0:00:49   0:02:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   585    0         0.001     1023       11.85     0:00:49   0:02:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   583    0         0.001     1023       11.79     0:00:49   0:02:36   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   598    0         0.000     1023       12.08     0:00:49   0:02:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   586    0         0.000     1023       11.82     0:00:49   0:02:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   586    0         0.001     1023       11.84     0:00:49   0:02:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   584    0         0.001     1023       11.79     0:00:49   0:02:36   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   600    0         0.000     1023       12.08     0:00:49   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   586    0         0.000     1023       11.82     0:00:49   0:02:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   588    0         0.001     1023       11.84     0:00:49   0:02:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   585    0         0.001     1023       11.79     0:00:49   0:02:35   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   601    0         0.000     1023       12.07     0:00:49   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   587    0         0.000     1023       11.81     0:00:49   0:02:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   588    0         0.001     1023       11.84     0:00:49   0:02:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   586    0         0.001     1023       11.78     0:00:49   0:02:35   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   602    0         0.000     1023       12.06     0:00:49   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   588    0         0.000     1023       11.80     0:00:49   0:02:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   589    0         0.001     1023       11.83     0:00:49   0:02:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   587    0         0.001     1023       11.78     0:00:49   0:02:35   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   602    0         0.000     1023       12.06     0:00:50   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   589    0         0.000     1023       11.80     0:00:50   0:02:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   590    0         0.001     1023       11.82     0:00:50   0:02:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   588    0         0.001     1023       11.77     0:00:50   0:02:35   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   603    0         0.000     1023       12.05     0:00:50   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   590    0         0.000     1023       11.79     0:00:50   0:02:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   591    0         0.001     1023       11.81     0:00:50   0:02:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   589    0         0.001     1023       11.76     0:00:50   0:02:35   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   604    0         0.000     1023       12.04     0:00:50   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   591    0         0.000     1023       11.78     0:00:50   0:02:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   592    0         0.001     1023       11.81     0:00:50   0:02:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   590    0         0.001     1023       11.76     0:00:50   0:02:35   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   606    0         0.000     1023       12.02     0:00:50   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   592    0         0.000     1023       11.76     0:00:50   0:02:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   594    0         0.001     1023       11.79     0:00:50   0:02:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   591    0         0.001     1023       11.74     0:00:50   0:02:35   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   607    0         0.000     1023       12.02     0:00:50   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   594    0         0.000     1023       11.76     0:00:50   0:02:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   595    0         0.001     1023       11.79     0:00:50   0:02:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   592    0         0.001     1023       11.73     0:00:50   0:02:34   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   608    0         0.000     1023       12.02     0:00:50   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   595    0         0.000     1023       11.76     0:00:50   0:02:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   596    0         0.001     1023       11.79     0:00:50   0:02:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   593    0         0.001     1023       11.73     0:00:50   0:02:34   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   609    0         0.000     1023       12.02     0:00:50   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   596    0         0.000     1023       11.76     0:00:50   0:02:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   597    0         0.001     1023       11.78     0:00:50   0:02:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   594    0         0.001     1023       11.73     0:00:50   0:02:34   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   610    0         0.000     1023       12.01     0:00:50   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   597    0         0.000     1023       11.75     0:00:50   0:02:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   598    0         0.001     1023       11.77     0:00:50   0:02:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   595    0         0.001     1023       11.72     0:00:50   0:02:34   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   611    0         0.000     1023       12.00     0:00:50   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   598    0         0.000     1023       11.75     0:00:50   0:02:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   599    0         0.001     1023       11.76     0:00:50   0:02:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   596    0         0.001     1023       11.71     0:00:50   0:02:34   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   612    0         0.000     1023       11.99     0:00:51   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   599    0         0.000     1023       11.74     0:00:51   0:02:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   600    0         0.001     1023       11.76     0:00:51   0:02:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   597    0         0.001     1023       11.70     0:00:51   0:02:34   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   613    0         0.000     1023       11.99     0:00:51   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   600    0         0.000     1023       11.73     0:00:51   0:02:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   601    0         0.001     1023       11.76     0:00:51   0:02:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   598    0         0.001     1023       11.70     0:00:51   0:02:34   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   614    0         0.000     1023       11.98     0:00:51   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   601    0         0.000     1023       11.73     0:00:51   0:02:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   602    0         0.001     1023       11.75     0:00:51   0:02:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   599    0         0.001     1023       11.70     0:00:51   0:02:34   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   616    0         0.000     1023       11.98     0:00:51   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   602    0         0.000     1023       11.72     0:00:51   0:02:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   603    0         0.001     1023       11.74     0:00:51   0:02:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   601    0         0.001     1023       11.69     0:00:51   0:02:34   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   617    0         0.001     1023       11.98     0:00:51   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   603    0         0.000     1023       11.72     0:00:51   0:02:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   604    0         0.001     1023       11.74     0:00:51   0:02:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   602    0         0.001     1023       11.69     0:00:51   0:02:33   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   618    0         0.001     1023       11.97     0:00:51   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   605    0         0.000     1023       11.72     0:00:51   0:02:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   606    0         0.001     1023       11.74     0:00:51   0:02:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   603    0         0.001     1023       11.68     0:00:51   0:02:33   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   619    0         0.001     1023       11.97     0:00:51   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   606    0         0.000     1023       11.71     0:00:51   0:02:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   607    0         0.001     1023       11.74     0:00:51   0:02:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   604    0         0.001     1023       11.68     0:00:51   0:02:32   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   620    0         0.001     1023       11.97     0:00:51   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   606    0         0.000     1023       11.71     0:00:51   0:02:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   607    0         0.001     1023       11.74     0:00:51   0:02:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   605    0         0.001     1023       11.68     0:00:51   0:02:32   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   621    0         0.001     1023       11.94     0:00:52   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   607    0         0.000     1023       11.68     0:00:52   0:02:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   608    0         0.000     1023       11.71     0:00:52   0:02:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   606    0         0.001     1023       11.66     0:00:52   0:02:32   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   622    0         0.001     1023       11.94     0:00:52   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   608    0         0.000     1023       11.68     0:00:52   0:02:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   609    0         0.000     1023       11.70     0:00:52   0:02:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   607    0         0.001     1023       11.65     0:00:52   0:02:32   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   623    0         0.001     1023       11.93     0:00:52   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   609    0         0.000     1023       11.67     0:00:52   0:02:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   610    0         0.000     1023       11.70     0:00:52   0:02:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   608    0         0.001     1023       11.65     0:00:52   0:02:32   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   624    0         0.001     1023       11.92     0:00:52   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   610    0         0.000     1023       11.67     0:00:52   0:02:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   611    0         0.000     1023       11.69     0:00:52   0:02:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   609    0         0.001     1023       11.64     0:00:52   0:02:32   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   625    0         0.001     1023       11.92     0:00:52   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   611    0         0.000     1023       11.66     0:00:52   0:02:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   612    0         0.000     1023       11.69     0:00:52   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   610    0         0.001     1023       11.63     0:00:52   0:02:32   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   626    0         0.001     1023       11.91     0:00:52   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   612    0         0.000     1023       11.65     0:00:52   0:02:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   613    0         0.000     1023       11.68     0:00:52   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   611    0         0.001     1023       11.63     0:00:52   0:02:31   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   627    0         0.001     1023       11.90     0:00:52   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   613    0         0.000     1023       11.64     0:00:52   0:02:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   614    0         0.000     1023       11.67     0:00:52   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   612    0         0.001     1023       11.62     0:00:52   0:02:31   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   628    0         0.001     1023       11.90     0:00:52   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   614    0         0.000     1023       11.64     0:00:52   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   616    0         0.000     1023       11.67     0:00:52   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   613    0         0.001     1023       11.62     0:00:52   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   629    0         0.001     1023       11.90     0:00:52   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   615    0         0.000     1023       11.64     0:00:52   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   617    0         0.001     1023       11.67     0:00:52   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   614    0         0.001     1023       11.62     0:00:52   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   630    0         0.001     1023       11.90     0:00:53   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   616    0         0.000     1023       11.64     0:00:53   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   618    0         0.001     1023       11.66     0:00:53   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   615    0         0.001     1023       11.62     0:00:53   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   632    0         0.001     1023       11.89     0:00:53   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   618    0         0.000     1023       11.63     0:00:53   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   619    0         0.001     1023       11.66     0:00:53   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   616    0         0.001     1023       11.61     0:00:53   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   632    0         0.001     1023       11.89     0:00:53   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   618    0         0.000     1023       11.63     0:00:53   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   620    0         0.001     1023       11.65     0:00:53   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   617    0         0.001     1023       11.61     0:00:53   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   633    0         0.001     1023       11.87     0:00:53   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   620    0         0.000     1023       11.61     0:00:53   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   621    0         0.001     1023       11.64     0:00:53   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   618    0         0.001     1023       11.59     0:00:53   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   635    0         0.001     1023       11.87     0:00:53   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   621    0         0.000     1023       11.61     0:00:53   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   622    0         0.001     1023       11.64     0:00:53   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   620    0         0.001     1023       11.59     0:00:53   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   636    0         0.001     1023       11.87     0:00:53   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   622    0         0.000     1023       11.61     0:00:53   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   624    0         0.001     1023       11.64     0:00:53   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   621    0         0.001     1023       11.59     0:00:53   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   637    0         0.001     1023       11.87     0:00:53   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   623    0         0.000     1023       11.61     0:00:53   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   625    0         0.001     1023       11.64     0:00:53   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   622    0         0.001     1023       11.58     0:00:53   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   639    0         0.001     1023       11.86     0:00:53   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   625    0         0.000     1023       11.60     0:00:53   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   626    0         0.001     1023       11.64     0:00:53   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   623    0         0.001     1023       11.58     0:00:53   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   640    0         0.001     1023       11.86     0:00:53   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   626    0         0.001     1023       11.60     0:00:53   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   628    0         0.001     1023       11.64     0:00:53   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   624    0         0.001     1023       11.58     0:00:53   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   641    0         0.001     1023       11.86     0:00:54   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   627    0         0.001     1023       11.60     0:00:54   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   629    0         0.001     1023       11.63     0:00:54   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   626    0         0.001     1023       11.58     0:00:54   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   643    0         0.001     1023       11.86     0:00:54   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   628    0         0.001     1023       11.60     0:00:54   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   630    0         0.001     1023       11.64     0:00:54   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   627    0         0.001     1023       11.58     0:00:54   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   644    0         0.001     1023       11.86     0:00:54   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   629    0         0.001     1023       11.60     0:00:54   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   631    0         0.001     1023       11.63     0:00:54   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   628    0         0.001     1023       11.58     0:00:54   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   645    0         0.001     1023       11.86     0:00:54   0:02:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   631    0         0.001     1023       11.60     0:00:54   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   633    0         0.001     1023       11.63     0:00:54   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   629    0         0.001     1023       11.57     0:00:54   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   646    0         0.001     1023       11.86     0:00:54   0:02:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   632    0         0.001     1023       11.60     0:00:54   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   634    0         0.001     1023       11.63     0:00:54   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   631    0         0.001     1023       11.58     0:00:54   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   647    0         0.001     1023       11.86     0:00:54   0:02:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   633    0         0.001     1023       11.59     0:00:54   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   635    0         0.001     1023       11.63     0:00:54   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   632    0         0.001     1023       11.58     0:00:54   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   648    0         0.001     1023       11.84     0:00:54   0:02:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   634    0         0.001     1023       11.58     0:00:54   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   636    0         0.001     1023       11.62     0:00:54   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   633    0         0.001     1023       11.56     0:00:54   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   649    0         0.001     1023       11.84     0:00:54   0:02:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   635    0         0.001     1023       11.57     0:00:54   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   637    0         0.001     1023       11.61     0:00:54   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   634    0         0.001     1023       11.56     0:00:54   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   650    0         0.001     1023       11.83     0:00:55   0:02:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   636    0         0.001     1023       11.57     0:00:55   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   638    0         0.001     1023       11.61     0:00:55   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   635    0         0.001     1023       11.55     0:00:55   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   651    0         0.001     1023       11.82     0:00:55   0:02:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   637    0         0.001     1023       11.56     0:00:55   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   639    0         0.001     1023       11.60     0:00:55   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   636    0         0.001     1023       11.55     0:00:55   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   652    0         0.001     1023       11.82     0:00:55   0:02:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   638    0         0.001     1023       11.56     0:00:55   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   640    0         0.001     1023       11.59     0:00:55   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   637    0         0.001     1023       11.54     0:00:55   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   653    0         0.001     1023       11.81     0:00:55   0:02:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   639    0         0.001     1023       11.55     0:00:55   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   641    0         0.001     1023       11.59     0:00:55   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   638    0         0.001     1023       11.53     0:00:55   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   654    0         0.001     1023       11.81     0:00:55   0:02:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   640    0         0.001     1023       11.54     0:00:55   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   642    0         0.001     1023       11.58     0:00:55   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   639    0         0.001     1023       11.53     0:00:55   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   655    0         0.001     1023       11.80     0:00:55   0:02:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   641    0         0.001     1023       11.54     0:00:55   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   643    0         0.001     1023       11.57     0:00:55   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   640    0         0.001     1023       11.52     0:00:55   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   656    0         0.001     1023       11.79     0:00:55   0:02:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   642    0         0.001     1023       11.53     0:00:55   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   644    0         0.001     1023       11.57     0:00:55   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   641    0         0.001     1023       11.52     0:00:55   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   657    0         0.001     1023       11.78     0:00:55   0:02:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   643    0         0.001     1023       11.53     0:00:55   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   644    0         0.001     1023       11.57     0:00:55   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   642    0         0.001     1023       11.51     0:00:55   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   658    0         0.001     1023       11.77     0:00:55   0:02:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   643    0         0.001     1023       11.53     0:00:55   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   645    0         0.001     1023       11.55     0:00:55   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   642    0         0.001     1023       11.51     0:00:55   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   658    0         0.001     1023       11.77     0:00:56   0:02:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   644    0         0.001     1023       11.50     0:00:56   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   646    0         0.001     1023       11.53     0:00:56   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   643    0         0.001     1023       11.49     0:00:56   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   659    0         0.001     1023       11.75     0:00:56   0:02:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   644    0         0.001     1023       11.50     0:00:56   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   646    0         0.001     1023       11.53     0:00:56   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   643    0         0.001     1023       11.49     0:00:56   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   660    0         0.001     1023       11.72     0:00:56   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   645    0         0.001     1023       11.47     0:00:56   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   647    0         0.001     1023       11.50     0:00:56   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   644    0         0.001     1023       11.45     0:00:56   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   661    0         0.001     1023       11.71     0:00:56   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   646    0         0.001     1023       11.46     0:00:56   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   648    0         0.001     1023       11.50     0:00:56   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   645    0         0.001     1023       11.45     0:00:56   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   662    0         0.001     1023       11.71     0:00:56   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   647    0         0.001     1023       11.46     0:00:56   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   649    0         0.001     1023       11.49     0:00:56   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   646    0         0.001     1023       11.44     0:00:56   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   663    0         0.001     1023       11.70     0:00:56   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   648    0         0.001     1023       11.45     0:00:56   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   650    0         0.001     1023       11.49     0:00:56   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   647    0         0.001     1023       11.44     0:00:56   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   663    0         0.001     1023       11.70     0:00:56   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   649    0         0.001     1023       11.45     0:00:56   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   651    0         0.001     1023       11.48     0:00:56   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   648    0         0.001     1023       11.43     0:00:56   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   664    0         0.001     1023       11.67     0:00:56   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   649    0         0.001     1023       11.45     0:00:56   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   651    0         0.001     1023       11.48     0:00:56   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   648    0         0.001     1023       11.43     0:00:56   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   664    0         0.001     1023       11.67     0:00:57   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   650    0         0.001     1023       11.42     0:00:57   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   652    0         0.001     1023       11.44     0:00:57   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   649    0         0.001     1023       11.39     0:00:57   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   665    0         0.001     1023       11.64     0:00:57   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   651    0         0.001     1023       11.40     0:00:57   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   653    0         0.001     1023       11.43     0:00:57   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   650    0         0.001     1023       11.38     0:00:57   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   666    0         0.001     1023       11.64     0:00:57   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   652    0         0.001     1023       11.39     0:00:57   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   654    0         0.001     1023       11.42     0:00:57   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   651    0         0.001     1023       11.38     0:00:57   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   667    0         0.001     1023       11.62     0:00:57   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   653    0         0.001     1023       11.38     0:00:57   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   655    0         0.001     1023       11.41     0:00:57   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   652    0         0.001     1023       11.36     0:00:57   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   667    0         0.001     1023       11.62     0:00:57   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   654    0         0.001     1023       11.36     0:00:57   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   655    0         0.001     1023       11.41     0:00:57   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   652    0         0.001     1023       11.36     0:00:57   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   668    0         0.001     1023       11.60     0:00:57   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   654    0         0.001     1023       11.36     0:00:57   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   656    0         0.001     1023       11.39     0:00:57   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   653    0         0.001     1023       11.34     0:00:57   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   669    0         0.001     1023       11.56     0:00:57   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   655    0         0.001     1023       11.32     0:00:57   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   656    0         0.001     1023       11.39     0:00:57   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   654    0         0.001     1023       11.30     0:00:57   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   670    0         0.001     1023       11.54     0:00:58   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   656    0         0.001     1023       11.31     0:00:58   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   657    0         0.001     1023       11.34     0:00:58   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   655    0         0.001     1023       11.29     0:00:58   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   670    0         0.001     1023       11.54     0:00:58   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   657    0         0.001     1023       11.30     0:00:58   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   658    0         0.000     1023       11.33     0:00:58   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   656    0         0.001     1023       11.28     0:00:58   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   671    0         0.001     1023       11.53     0:00:58   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   658    0         0.001     1023       11.29     0:00:58   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   659    0         0.000     1023       11.32     0:00:58   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   657    0         0.001     1023       11.27     0:00:58   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   672    0         0.001     1023       11.52     0:00:58   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   658    0         0.001     1023       11.29     0:00:58   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   660    0         0.000     1023       11.32     0:00:58   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   657    0         0.001     1023       11.27     0:00:58   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   673    0         0.001     1023       11.52     0:00:58   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   659    0         0.001     1023       11.28     0:00:58   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   661    0         0.000     1023       11.31     0:00:58   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   659    0         0.001     595        11.27     0:00:58   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   674    0         0.001     1023       11.50     0:00:58   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   660    0         0.001     1023       11.27     0:00:58   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   662    0         0.000     1023       11.30     0:00:58   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   660    0         0.001     1023       11.26     0:00:58   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   675    0         0.001     1023       11.50     0:00:58   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   661    0         0.001     1023       11.26     0:00:58   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   663    0         0.000     1023       11.29     0:00:58   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   661    0         0.001     1023       11.26     0:00:58   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   676    0         0.001     1023       11.50     0:00:58   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   662    0         0.001     1023       11.26     0:00:58   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   664    0         0.000     1023       11.29     0:00:58   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   662    0         0.001     1023       11.26     0:00:58   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   677    0         0.001     1023       11.49     0:00:58   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   663    0         0.001     1023       11.25     0:00:58   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   665    0         0.000     1023       11.28     0:00:58   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   663    0         0.001     1023       11.25     0:00:58   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   678    0         0.001     1023       11.48     0:00:59   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   664    0         0.001     1023       11.25     0:00:59   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   666    0         0.000     1023       11.28     0:00:59   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   664    0         0.001     1023       11.25     0:00:59   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   679    0         0.001     1023       11.48     0:00:59   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   665    0         0.001     1023       11.24     0:00:59   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   667    0         0.000     1023       11.28     0:00:59   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   665    0         0.001     1023       11.24     0:00:59   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   680    0         0.001     1023       11.48     0:00:59   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   666    0         0.001     1023       11.24     0:00:59   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   668    0         0.000     1023       11.27     0:00:59   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   666    0         0.001     1023       11.24     0:00:59   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   681    0         0.001     1023       11.47     0:00:59   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   667    0         0.001     1023       11.23     0:00:59   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   669    0         0.000     1023       11.26     0:00:59   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   667    0         0.001     1023       11.22     0:00:59   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   683    0         0.001     1023       11.46     0:00:59   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   669    0         0.001     1023       11.23     0:00:59   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   670    0         0.000     1023       11.26     0:00:59   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   668    0         0.001     1023       11.22     0:00:59   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   684    0         0.001     1023       11.46     0:00:59   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   670    0         0.001     1023       11.23     0:00:59   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   671    0         0.000     1023       11.26     0:00:59   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   669    0         0.001     1023       11.22     0:00:59   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   685    0         0.001     1023       11.46     0:00:59   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   671    0         0.001     1023       11.23     0:00:59   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   673    0         0.000     1023       11.26     0:00:59   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   670    0         0.001     1023       11.22     0:00:59   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   686    0         0.001     1023       11.46     0:00:59   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   672    0         0.001     1023       11.22     0:00:59   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   674    0         0.000     1023       11.25     0:00:59   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   671    0         0.001     1023       11.22     0:00:59   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   687    0         0.001     1023       11.46     0:01:00   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   673    0         0.001     1023       11.22     0:01:00   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   675    0         0.000     1023       11.25     0:01:00   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   673    0         0.001     1023       11.21     0:01:00   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   688    0         0.001     1023       11.45     0:01:00   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   674    0         0.001     1023       11.22     0:01:00   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   676    0         0.000     1023       11.25     0:01:00   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   674    0         0.001     1023       11.21     0:01:00   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   690    0         0.001     1023       11.45     0:01:00   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   675    0         0.001     1023       11.22     0:01:00   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   677    0         0.000     1023       11.25     0:01:00   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   675    0         0.001     1023       11.21     0:01:00   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   691    0         0.001     1023       11.45     0:01:00   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   676    0         0.001     1023       11.21     0:01:00   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   678    0         0.001     1023       11.25     0:01:00   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   676    0         0.001     1023       11.21     0:01:00   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   692    0         0.001     1023       11.45     0:01:00   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   677    0         0.001     1023       11.21     0:01:00   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   680    0         0.000     1023       11.24     0:01:00   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   677    0         0.001     1023       11.21     0:01:00   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   693    0         0.001     1023       11.44     0:01:00   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   678    0         0.001     1023       11.21     0:01:00   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   680    0         0.000     1023       11.24     0:01:00   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   678    0         0.001     1023       11.20     0:01:00   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   694    0         0.001     1023       11.42     0:01:00   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   679    0         0.001     1023       11.18     0:01:00   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   681    0         0.000     1023       11.22     0:01:00   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   679    0         0.001     1023       11.18     0:01:00   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   695    0         0.001     1023       11.42     0:01:00   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   680    0         0.001     1023       11.18     0:01:00   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   682    0         0.001     1023       11.21     0:01:00   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   680    0         0.001     1023       11.18     0:01:00   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   696    0         0.001     1023       11.42     0:01:01   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   681    0         0.001     1023       11.18     0:01:01   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   683    0         0.000     1023       11.21     0:01:01   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   681    0         0.001     1023       11.17     0:01:01   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   697    0         0.001     1023       11.41     0:01:01   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   682    0         0.001     1023       11.17     0:01:01   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   684    0         0.001     1023       11.21     0:01:01   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   682    0         0.001     1023       11.17     0:01:01   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   698    0         0.001     1023       11.41     0:01:01   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   683    0         0.001     1023       11.17     0:01:01   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   685    0         0.000     1023       11.20     0:01:01   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   683    0         0.001     1023       11.17     0:01:01   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   699    0         0.001     1023       11.39     0:01:01   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   684    0         0.001     1023       11.16     0:01:01   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   686    0         0.000     1023       11.19     0:01:01   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   684    0         0.001     1023       11.15     0:01:01   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   700    0         0.001     1023       11.39     0:01:01   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   685    0         0.001     1023       11.15     0:01:01   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   687    0         0.001     1023       11.18     0:01:01   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   685    0         0.001     1023       11.15     0:01:01   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   701    0         0.001     1023       11.38     0:01:01   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   686    0         0.001     1023       11.15     0:01:01   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   688    0         0.001     1023       11.18     0:01:01   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   686    0         0.001     1023       11.14     0:01:01   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   702    0         0.002     1023       11.38     0:01:01   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   687    0         0.001     1023       11.14     0:01:01   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   689    0         0.001     1023       11.17     0:01:01   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   687    0         0.001     1023       11.14     0:01:01   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   703    0         0.002     1023       11.37     0:01:01   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   688    0         0.001     1023       11.14     0:01:01   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   690    0         0.001     1023       11.17     0:01:01   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   688    0         0.001     1023       11.14     0:01:01   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   704    0         0.002     1023       11.37     0:01:01   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   689    0         0.001     1023       11.14     0:01:01   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   691    0         0.001     1023       11.16     0:01:01   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   689    0         0.001     1023       11.13     0:01:01   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   704    0         0.002     1023       11.37     0:01:02   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   689    0         0.001     1023       11.14     0:01:02   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   691    0         0.001     1023       11.16     0:01:02   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   689    0         0.001     1023       11.13     0:01:02   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   705    0         0.002     1023       11.34     0:01:02   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   690    0         0.001     1023       11.11     0:01:02   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   692    0         0.001     1023       11.14     0:01:02   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   690    0         0.001     1023       11.10     0:01:02   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   706    0         0.002     1023       11.33     0:01:02   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   691    0         0.001     1023       11.10     0:01:02   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   693    0         0.001     1023       11.13     0:01:02   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   691    0         0.001     1023       11.10     0:01:02   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   706    0         0.002     1023       11.33     0:01:02   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   692    0         0.001     1023       11.10     0:01:02   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   694    0         0.001     1023       11.13     0:01:02   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   692    0         0.001     1023       11.09     0:01:02   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   707    0         0.002     1023       11.32     0:01:02   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   693    0         0.001     1023       11.10     0:01:02   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   695    0         0.001     1023       11.13     0:01:02   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   693    0         0.001     1023       11.09     0:01:02   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   708    0         0.002     1023       11.31     0:01:02   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   694    0         0.001     1023       11.09     0:01:02   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   696    0         0.001     1023       11.12     0:01:02   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   694    0         0.001     1023       11.08     0:01:02   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   709    0         0.002     1023       11.30     0:01:02   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   695    0         0.001     1023       11.08     0:01:02   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   697    0         0.001     1023       11.11     0:01:02   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   694    0         0.001     1023       11.08     0:01:02   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   710    0         0.002     1023       11.30     0:01:02   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   696    0         0.001     1023       11.07     0:01:02   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   698    0         0.001     1023       11.10     0:01:02   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   695    0         0.001     1023       11.07     0:01:02   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   711    0         0.002     1023       11.29     0:01:03   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   697    0         0.001     1023       11.07     0:01:03   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   699    0         0.001     1023       11.10     0:01:02   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   696    0         0.001     1023       11.07     0:01:02   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   712    0         0.002     1023       11.29     0:01:03   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   698    0         0.001     1023       11.06     0:01:03   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   700    0         0.001     1023       11.09     0:01:03   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   697    0         0.001     1023       11.06     0:01:03   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   713    0         0.002     1023       11.28     0:01:03   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   699    0         0.001     1023       11.06     0:01:03   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   701    0         0.001     1023       11.09     0:01:03   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   699    0         0.001     1023       11.06     0:01:03   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   714    0         0.002     1023       11.28     0:01:03   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   700    0         0.001     1023       11.06     0:01:03   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   702    0         0.001     1023       11.09     0:01:03   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   699    0         0.001     1023       11.06     0:01:03   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   715    0         0.002     1023       11.26     0:01:03   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   701    0         0.001     1023       11.04     0:01:03   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   703    0         0.001     1023       11.07     0:01:03   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   700    0         0.001     1023       11.04     0:01:03   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   716    0         0.002     1023       11.26     0:01:03   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   702    0         0.001     1023       11.03     0:01:03   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   704    0         0.001     1023       11.07     0:01:03   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   701    0         0.001     1023       11.03     0:01:03   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   717    0         0.002     1023       11.25     0:01:03   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   703    0         0.001     1023       11.03     0:01:03   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   705    0         0.001     1023       11.06     0:01:03   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   702    0         0.001     1023       11.03     0:01:03   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   718    0         0.002     1023       11.25     0:01:03   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   703    0         0.001     1023       11.03     0:01:03   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   706    0         0.001     1023       11.06     0:01:03   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   703    0         0.001     1023       11.02     0:01:03   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   719    0         0.002     1023       11.24     0:01:03   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   704    0         0.001     1023       11.02     0:01:03   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   707    0         0.001     1023       11.05     0:01:03   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   704    0         0.001     1023       11.02     0:01:03   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   720    0         0.002     1023       11.23     0:01:04   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   705    0         0.001     1023       11.01     0:01:04   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   707    0         0.001     1023       11.05     0:01:04   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   705    0         0.001     1023       11.01     0:01:04   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   721    0         0.002     1023       11.23     0:01:04   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   706    0         0.001     1023       11.01     0:01:04   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   708    0         0.001     1023       11.04     0:01:04   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   706    0         0.001     1023       11.00     0:01:04   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   722    0         0.002     1023       11.23     0:01:04   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   707    0         0.001     1023       11.00     0:01:04   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   709    0         0.001     1023       11.04     0:01:04   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   707    0         0.001     1023       11.00     0:01:04   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   723    0         0.002     1023       11.22     0:01:04   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   708    0         0.001     1023       11.00     0:01:04   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   710    0         0.001     1023       11.04     0:01:04   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   708    0         0.001     1023       11.00     0:01:04   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   723    0         0.002     1023       11.22     0:01:04   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   709    0         0.001     1023       11.00     0:01:04   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   711    0         0.001     1023       11.03     0:01:04   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   709    0         0.001     1023       10.99     0:01:04   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   725    0         0.002     1023       11.21     0:01:04   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   710    0         0.001     1023       10.99     0:01:04   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   712    0         0.000     1023       11.02     0:01:04   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   710    0         0.001     1023       10.99     0:01:04   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   726    0         0.002     1023       11.21     0:01:04   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   711    0         0.001     1023       10.99     0:01:04   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   713    0         0.000     1023       11.02     0:01:04   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   711    0         0.001     1023       10.98     0:01:04   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   727    0         0.002     1023       11.19     0:01:04   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   712    0         0.001     1023       10.97     0:01:04   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   714    0         0.000     1023       11.00     0:01:04   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   712    0         0.001     1023       10.97     0:01:04   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   728    0         0.002     1023       11.19     0:01:05   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   713    0         0.001     1023       10.97     0:01:05   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   715    0         0.000     1023       11.00     0:01:05   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   713    0         0.001     1023       10.97     0:01:05   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   729    0         0.002     1023       11.18     0:01:05   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   714    0         0.001     1023       10.96     0:01:05   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   716    0         0.000     1023       11.00     0:01:05   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   714    0         0.001     1023       10.96     0:01:05   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   730    0         0.002     1023       11.18     0:01:05   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   715    0         0.001     1023       10.96     0:01:05   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   717    0         0.001     1023       10.99     0:01:05   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   715    0         0.001     1023       10.96     0:01:05   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   731    0         0.002     1023       11.18     0:01:05   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   716    0         0.001     1023       10.95     0:01:05   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   718    0         0.001     1023       10.99     0:01:05   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   716    0         0.001     1023       10.95     0:01:05   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   732    0         0.002     1023       11.17     0:01:05   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   717    0         0.001     1023       10.95     0:01:05   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   719    0         0.001     1023       10.98     0:01:05   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   717    0         0.001     1023       10.95     0:01:05   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   733    0         0.002     1023       11.17     0:01:05   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   718    0         0.001     1023       10.94     0:01:05   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   720    0         0.001     1023       10.97     0:01:05   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   718    0         0.001     1023       10.94     0:01:05   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   734    0         0.002     1023       11.16     0:01:05   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   719    0         0.001     1023       10.94     0:01:05   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   721    0         0.001     1023       10.97     0:01:05   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   719    0         0.001     1023       10.94     0:01:05   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   735    0         0.002     1023       11.16     0:01:05   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   720    0         0.001     1023       10.93     0:01:05   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   722    0         0.001     1023       10.97     0:01:05   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   720    0         0.001     1023       10.93     0:01:05   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   736    0         0.002     1023       11.15     0:01:06   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   721    0         0.001     1023       10.92     0:01:06   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   723    0         0.001     1023       10.95     0:01:06   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   721    0         0.001     1023       10.92     0:01:06   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   737    0         0.002     1023       11.14     0:01:06   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   722    0         0.001     1023       10.91     0:01:06   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   724    0         0.001     1023       10.94     0:01:06   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   722    0         0.001     1023       10.92     0:01:06   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   737    0         0.002     1023       11.14     0:01:06   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   722    0         0.001     1023       10.91     0:01:06   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   725    0         0.001     1023       10.93     0:01:06   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   723    0         0.001     1023       10.91     0:01:06   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   740    0         0.001     511        11.14     0:01:06   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   724    0         0.001     1023       10.89     0:01:06   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   726    0         0.001     1023       10.92     0:01:06   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   724    0         0.001     1023       10.90     0:01:06   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   741    0         0.001     1023       11.14     0:01:06   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   725    0         0.001     1023       10.89     0:01:06   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   727    0         0.001     1023       10.92     0:01:06   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   725    0         0.001     1023       10.89     0:01:06   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   742    0         0.001     1023       11.13     0:01:06   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   725    0         0.001     1023       10.89     0:01:06   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   727    0         0.001     1023       10.92     0:01:06   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   726    0         0.001     1023       10.89     0:01:06   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   743    0         0.001     1023       11.13     0:01:06   0:02:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   727    0         0.001     1023       10.88     0:01:06   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   728    0         0.000     1023       10.91     0:01:06   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   727    0         0.001     1023       10.88     0:01:06   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   744    0         0.001     1023       11.12     0:01:06   0:02:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   727    0         0.001     1023       10.88     0:01:06   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   729    0         0.000     1023       10.91     0:01:06   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   728    0         0.001     1023       10.88     0:01:06   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   745    0         0.001     1023       11.11     0:01:07   0:02:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   728    0         0.001     1023       10.87     0:01:07   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   730    0         0.000     1023       10.90     0:01:07   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   728    0         0.001     1023       10.88     0:01:07   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   746    0         0.001     1023       11.11     0:01:07   0:02:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   730    0         0.001     1023       10.87     0:01:07   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   731    0         0.000     1023       10.90     0:01:07   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   730    0         0.001     1023       10.87     0:01:07   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   747    0         0.001     1023       11.11     0:01:07   0:02:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   730    0         0.001     1023       10.87     0:01:07   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   732    0         0.000     1023       10.89     0:01:07   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   731    0         0.001     1023       10.87     0:01:07   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   748    0         0.001     1023       11.10     0:01:07   0:02:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   731    0         0.001     1023       10.86     0:01:07   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   733    0         0.000     1023       10.89     0:01:07   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   731    0         0.001     1023       10.87     0:01:07   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   749    0         0.001     1023       11.10     0:01:07   0:02:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   732    0         0.001     1023       10.86     0:01:07   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   734    0         0.000     1023       10.88     0:01:07   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   732    0         0.001     1023       10.86     0:01:07   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   750    0         0.001     1023       11.09     0:01:07   0:02:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   733    0         0.001     1023       10.85     0:01:07   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   735    0         0.000     1023       10.88     0:01:07   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   733    0         0.001     1023       10.85     0:01:07   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   751    0         0.001     1023       11.09     0:01:07   0:02:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   734    0         0.001     1023       10.85     0:01:07   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   736    0         0.000     1023       10.88     0:01:07   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   734    0         0.001     1023       10.85     0:01:07   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   751    0         0.001     1023       11.09     0:01:07   0:02:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   735    0         0.001     1023       10.84     0:01:07   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   737    0         0.001     1023       10.87     0:01:07   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   735    0         0.001     1023       10.84     0:01:07   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   752    0         0.001     1023       11.06     0:01:08   0:02:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   736    0         0.001     1023       10.82     0:01:08   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   738    0         0.001     1023       10.85     0:01:08   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   736    0         0.001     1023       10.82     0:01:08   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   753    0         0.001     1023       11.05     0:01:08   0:02:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   736    0         0.001     1023       10.82     0:01:08   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   738    0         0.001     1023       10.85     0:01:08   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   736    0         0.001     1023       10.82     0:01:08   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   754    0         0.001     1023       11.05     0:01:08   0:02:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   737    0         0.001     1023       10.81     0:01:08   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   739    0         0.001     1023       10.84     0:01:08   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   737    0         0.001     1023       10.81     0:01:08   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   755    0         0.001     1023       11.04     0:01:08   0:02:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   738    0         0.001     1023       10.80     0:01:08   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   740    0         0.001     1023       10.84     0:01:08   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   738    0         0.001     1023       10.81     0:01:08   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   756    0         0.001     1023       11.04     0:01:08   0:02:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   739    0         0.001     1023       10.80     0:01:08   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   741    0         0.000     1023       10.83     0:01:08   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   739    0         0.001     1023       10.80     0:01:08   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   757    0         0.001     1023       11.03     0:01:08   0:02:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   740    0         0.001     1023       10.80     0:01:08   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   742    0         0.000     1023       10.83     0:01:08   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   740    0         0.001     1023       10.80     0:01:08   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   758    0         0.001     1023       11.03     0:01:08   0:02:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   741    0         0.001     1023       10.79     0:01:08   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   743    0         0.000     1023       10.82     0:01:08   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   741    0         0.001     1023       10.79     0:01:08   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   759    0         0.001     1023       11.03     0:01:08   0:02:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   742    0         0.001     1023       10.79     0:01:08   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   744    0         0.000     1023       10.82     0:01:08   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   742    0         0.001     1023       10.79     0:01:08   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   760    0         0.001     1023       11.02     0:01:08   0:02:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   743    0         0.001     1023       10.79     0:01:08   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   745    0         0.000     1023       10.82     0:01:08   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   743    0         0.001     1023       10.79     0:01:08   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   761    0         0.001     1023       11.02     0:01:09   0:02:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   744    0         0.001     1023       10.79     0:01:09   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   746    0         0.000     1023       10.81     0:01:09   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   744    0         0.001     1023       10.79     0:01:09   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   761    0         0.001     1023       11.02     0:01:09   0:02:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   745    0         0.001     1023       10.78     0:01:09   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   747    0         0.000     1023       10.81     0:01:09   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   745    0         0.001     1023       10.78     0:01:09   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   762    0         0.001     1023       11.01     0:01:09   0:02:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   746    0         0.001     1023       10.77     0:01:09   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   748    0         0.000     1023       10.80     0:01:09   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   746    0         0.001     1023       10.77     0:01:09   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   763    0         0.001     1023       11.00     0:01:09   0:02:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   747    0         0.001     1023       10.76     0:01:09   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   748    0         0.000     1023       10.80     0:01:09   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   746    0         0.001     1023       10.77     0:01:09   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   764    0         0.001     1023       10.98     0:01:09   0:02:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   748    0         0.001     1023       10.75     0:01:09   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   749    0         0.000     1023       10.77     0:01:09   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   747    0         0.001     1023       10.75     0:01:09   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   765    0         0.001     1023       10.98     0:01:09   0:02:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   748    0         0.001     1023       10.75     0:01:09   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   750    0         0.000     1023       10.77     0:01:09   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   748    0         0.001     1023       10.75     0:01:09   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   766    0         0.001     1023       10.97     0:01:09   0:02:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   749    0         0.001     1023       10.74     0:01:09   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   751    0         0.000     1023       10.77     0:01:09   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   749    0         0.001     1023       10.74     0:01:09   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   766    0         0.001     1023       10.97     0:01:09   0:02:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   750    0         0.001     1023       10.74     0:01:09   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   752    0         0.000     1023       10.76     0:01:09   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   750    0         0.001     1023       10.74     0:01:09   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   768    0         0.001     1023       10.96     0:01:10   0:02:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   751    0         0.001     1023       10.73     0:01:10   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   753    0         0.000     1023       10.76     0:01:10   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   751    0         0.001     1023       10.73     0:01:10   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   769    0         0.001     1023       10.96     0:01:10   0:02:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   752    0         0.001     1023       10.73     0:01:10   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   754    0         0.000     1023       10.76     0:01:10   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   752    0         0.001     1023       10.73     0:01:10   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   769    0         0.001     1023       10.96     0:01:10   0:02:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   753    0         0.001     1023       10.73     0:01:10   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   755    0         0.000     1023       10.75     0:01:10   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   753    0         0.001     1023       10.73     0:01:10   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   770    0         0.001     1023       10.95     0:01:10   0:02:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   754    0         0.001     1023       10.72     0:01:10   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   756    0         0.000     1023       10.75     0:01:10   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   754    0         0.001     1023       10.72     0:01:10   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   771    0         0.001     1023       10.94     0:01:10   0:02:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   755    0         0.001     1023       10.72     0:01:10   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   757    0         0.000     1023       10.74     0:01:10   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   755    0         0.001     1023       10.71     0:01:10   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   772    0         0.001     1023       10.94     0:01:10   0:02:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   756    0         0.001     645        10.72     0:01:10   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   758    0         0.000     1023       10.74     0:01:10   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   756    0         0.001     1023       10.71     0:01:10   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   772    0         0.001     1023       10.94     0:01:10   0:02:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   757    0         0.001     1023       10.72     0:01:10   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   758    0         0.000     1023       10.74     0:01:10   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   756    0         0.001     1023       10.71     0:01:10   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   773    0         0.001     1023       10.92     0:01:10   0:02:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   758    0         0.001     1023       10.70     0:01:10   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   759    0         0.000     1023       10.72     0:01:10   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   757    0         0.001     1023       10.69     0:01:10   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   775    0         0.001     1023       10.92     0:01:10   0:02:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   760    0         0.001     95         10.71     0:01:10   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   760    0         0.000     1023       10.72     0:01:10   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   758    0         0.001     1023       10.69     0:01:10   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   776    0         0.001     1023       10.91     0:01:11   0:02:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   761    0         0.001     1023       10.71     0:01:11   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   761    0         0.000     1023       10.72     0:01:11   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   759    0         0.001     1023       10.69     0:01:11   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   776    0         0.001     1023       10.91     0:01:11   0:02:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   762    0         0.001     532        10.71     0:01:11   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   762    0         0.000     1023       10.71     0:01:11   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   760    0         0.001     1023       10.68     0:01:11   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   777    0         0.001     1023       10.91     0:01:11   0:02:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   763    0         0.001     1023       10.71     0:01:11   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   763    0         0.000     1023       10.71     0:01:11   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   761    0         0.001     1023       10.68     0:01:11   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   778    0         0.001     1023       10.90     0:01:11   0:02:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   764    0         0.001     1023       10.70     0:01:11   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   764    0         0.000     1023       10.71     0:01:11   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   762    0         0.001     1023       10.68     0:01:11   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   779    0         0.001     1023       10.90     0:01:11   0:02:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   765    0         0.001     1023       10.70     0:01:11   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   765    0         0.000     1023       10.70     0:01:11   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   763    0         0.001     1023       10.67     0:01:11   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   780    0         0.001     1023       10.90     0:01:11   0:02:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   766    0         0.001     1023       10.69     0:01:11   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   766    0         0.000     1023       10.70     0:01:11   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   764    0         0.001     1023       10.67     0:01:11   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   781    0         0.001     1023       10.89     0:01:11   0:02:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   767    0         0.001     1023       10.69     0:01:11   0:02:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   767    0         0.000     1023       10.70     0:01:11   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   765    0         0.001     1023       10.67     0:01:11   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   783    0         0.001     1023       10.89     0:01:11   0:02:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   768    0         0.001     1023       10.69     0:01:11   0:02:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   768    0         0.000     1023       10.70     0:01:11   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   766    0         0.001     1023       10.67     0:01:11   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   783    0         0.001     1023       10.89     0:01:12   0:02:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   769    0         0.001     1023       10.68     0:01:12   0:02:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   769    0         0.000     1023       10.68     0:01:12   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   767    0         0.001     1023       10.66     0:01:12   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   785    0         0.001     1023       10.88     0:01:12   0:02:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   770    0         0.001     1023       10.68     0:01:12   0:02:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   771    0         0.000     1023       10.68     0:01:12   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   769    0         0.001     1023       10.66     0:01:12   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   786    0         0.001     1023       10.88     0:01:12   0:02:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   772    0         0.001     1023       10.68     0:01:12   0:02:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   772    0         0.000     1023       10.68     0:01:12   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   770    0         0.001     1023       10.66     0:01:12   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   786    0         0.001     1023       10.88     0:01:12   0:02:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   772    0         0.001     1023       10.68     0:01:12   0:02:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   773    0         0.000     1023       10.68     0:01:12   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   771    0         0.001     1023       10.65     0:01:12   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   788    0         0.001     1023       10.86     0:01:12   0:02:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   773    0         0.001     1023       10.67     0:01:12   0:02:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   774    0         0.000     1023       10.67     0:01:12   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   772    0         0.001     1023       10.65     0:01:12   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   789    0         0.001     1023       10.86     0:01:12   0:02:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   775    0         0.001     1023       10.67     0:01:12   0:02:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   775    0         0.000     1023       10.67     0:01:12   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   773    0         0.001     816        10.65     0:01:12   0:02:23   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   790    0         0.001     1023       10.86     0:01:12   0:02:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   775    0         0.001     1023       10.67     0:01:12   0:02:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   776    0         0.000     1023       10.67     0:01:12   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   775    0         0.001     356        10.66     0:01:12   0:02:23   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   791    0         0.001     1023       10.85     0:01:12   0:02:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   776    0         0.001     1023       10.66     0:01:12   0:02:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   777    0         0.001     1023       10.67     0:01:12   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   776    0         0.001     1023       10.65     0:01:12   0:02:23   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   791    0         0.001     1023       10.85     0:01:12   0:02:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   777    0         0.001     1023       10.66     0:01:12   0:02:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   777    0         0.001     1023       10.67     0:01:12   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   776    0         0.001     1023       10.65     0:01:12   0:02:23   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   792    0         0.001     1023       10.85     0:01:13   0:02:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   778    0         0.001     1023       10.65     0:01:13   0:02:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   778    0         0.001     1023       10.66     0:01:13   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   777    0         0.001     1023       10.64     0:01:13   0:02:23   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   793    0         0.001     1023       10.82     0:01:13   0:02:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   779    0         0.001     1023       10.63     0:01:13   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   779    0         0.001     1023       10.63     0:01:13   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   778    0         0.001     1023       10.62     0:01:13   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   794    0         0.001     1023       10.82     0:01:13   0:02:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   779    0         0.001     1023       10.63     0:01:13   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   779    0         0.001     1023       10.63     0:01:13   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   779    0         0.001     1023       10.61     0:01:13   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   794    0         0.001     1023       10.82     0:01:13   0:02:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   780    0         0.001     1023       10.62     0:01:13   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   780    0         0.001     1023       10.62     0:01:13   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   779    0         0.001     1023       10.61     0:01:13   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   795    0         0.001     1023       10.80     0:01:13   0:02:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   781    0         0.001     1023       10.60     0:01:13   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   781    0         0.001     1023       10.61     0:01:13   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   780    0         0.001     1023       10.60     0:01:13   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   796    0         0.001     1023       10.79     0:01:13   0:02:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   782    0         0.001     1023       10.60     0:01:13   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   782    0         0.001     1023       10.60     0:01:13   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   781    0         0.001     1023       10.59     0:01:13   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   797    0         0.001     1023       10.79     0:01:13   0:02:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   782    0         0.001     1023       10.60     0:01:13   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   783    0         0.001     1023       10.60     0:01:13   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   782    0         0.001     1023       10.59     0:01:13   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   798    0         0.001     1023       10.78     0:01:14   0:02:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   783    0         0.001     1023       10.59     0:01:14   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   784    0         0.001     1023       10.59     0:01:14   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   783    0         0.001     1023       10.58     0:01:14   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   799    0         0.001     1023       10.78     0:01:14   0:02:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   784    0         0.001     1023       10.58     0:01:14   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   785    0         0.001     1023       10.59     0:01:14   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   784    0         0.001     1023       10.57     0:01:14   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   800    0         0.001     1023       10.77     0:01:14   0:02:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   785    0         0.001     1023       10.57     0:01:14   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   785    0         0.001     1023       10.59     0:01:14   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   785    0         0.001     1023       10.57     0:01:14   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   800    0         0.001     1023       10.77     0:01:14   0:02:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   786    0         0.001     1023       10.57     0:01:14   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   786    0         0.001     1023       10.58     0:01:14   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   785    0         0.001     1023       10.57     0:01:14   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   801    0         0.001     1023       10.76     0:01:14   0:02:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   786    0         0.001     1023       10.57     0:01:14   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   786    0         0.001     1023       10.58     0:01:14   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   786    0         0.001     1023       10.55     0:01:14   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   801    0         0.001     1023       10.76     0:01:14   0:02:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   787    0         0.001     1023       10.55     0:01:14   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   787    0         0.001     1023       10.56     0:01:14   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   786    0         0.001     1023       10.55     0:01:14   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   802    0         0.001     1023       10.74     0:01:14   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   788    0         0.001     1023       10.54     0:01:14   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   788    0         0.001     1023       10.54     0:01:14   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   787    0         0.001     1023       10.53     0:01:14   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   803    0         0.001     1023       10.73     0:01:14   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   788    0         0.001     1023       10.54     0:01:14   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   789    0         0.001     1023       10.54     0:01:14   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   788    0         0.001     1023       10.53     0:01:14   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   804    0         0.001     1023       10.72     0:01:15   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   789    0         0.001     1023       10.53     0:01:15   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   790    0         0.001     1023       10.53     0:01:15   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   789    0         0.001     1023       10.52     0:01:15   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   805    0         0.001     1023       10.72     0:01:15   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   790    0         0.001     1023       10.53     0:01:15   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   790    0         0.001     1023       10.53     0:01:15   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   790    0         0.000     1023       10.52     0:01:15   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   806    0         0.001     1023       10.71     0:01:15   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   791    0         0.001     1023       10.52     0:01:15   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   791    0         0.001     1023       10.53     0:01:15   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   790    0         0.000     1023       10.52     0:01:15   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   806    0         0.001     1023       10.71     0:01:15   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   792    0         0.001     1023       10.52     0:01:15   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   792    0         0.001     1023       10.52     0:01:15   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   791    0         0.000     1023       10.51     0:01:15   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   807    0         0.001     1023       10.71     0:01:15   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   793    0         0.001     1023       10.51     0:01:15   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   793    0         0.001     1023       10.52     0:01:15   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   792    0         0.000     1023       10.51     0:01:15   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   808    0         0.001     1023       10.70     0:01:15   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   794    0         0.001     1023       10.51     0:01:15   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   794    0         0.001     1023       10.51     0:01:15   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   793    0         0.000     1023       10.50     0:01:15   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   809    0         0.001     1023       10.70     0:01:15   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   795    0         0.001     1023       10.50     0:01:15   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   795    0         0.001     1023       10.51     0:01:15   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   794    0         0.000     1023       10.50     0:01:15   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   810    0         0.001     1023       10.69     0:01:15   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   796    0         0.001     1023       10.50     0:01:15   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   796    0         0.001     1023       10.50     0:01:15   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   795    0         0.000     1023       10.50     0:01:15   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   811    0         0.001     1023       10.69     0:01:15   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   796    0         0.001     1023       10.50     0:01:15   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   796    0         0.001     1023       10.50     0:01:15   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   796    0         0.000     1023       10.50     0:01:15   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   812    0         0.001     1023       10.67     0:01:16   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   797    0         0.001     1023       10.48     0:01:16   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   797    0         0.000     1023       10.49     0:01:16   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   797    0         0.000     1023       10.48     0:01:16   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   813    0         0.001     1023       10.67     0:01:16   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   798    0         0.001     1023       10.48     0:01:16   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   798    0         0.000     1023       10.48     0:01:16   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   798    0         0.000     1023       10.48     0:01:16   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   814    0         0.001     1023       10.67     0:01:16   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   799    0         0.001     1023       10.48     0:01:16   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   799    0         0.000     1023       10.48     0:01:16   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   799    0         0.000     1023       10.47     0:01:16   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   814    0         0.001     1023       10.67     0:01:16   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   799    0         0.001     1023       10.48     0:01:16   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   799    0         0.000     1023       10.48     0:01:16   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   799    0         0.000     1023       10.47     0:01:16   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   815    0         0.001     1023       10.65     0:01:16   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   800    0         0.001     1023       10.46     0:01:16   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   800    0         0.000     1023       10.46     0:01:16   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   800    0         0.000     1023       10.46     0:01:16   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   816    0         0.001     1023       10.65     0:01:16   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   801    0         0.001     1023       10.46     0:01:16   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   802    0         0.000     1023       10.46     0:01:16   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   801    0         0.000     1023       10.46     0:01:16   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   817    0         0.001     1023       10.65     0:01:16   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   803    0         0.001     1023       10.46     0:01:16   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   803    0         0.001     1023       10.46     0:01:16   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   802    0         0.000     1023       10.45     0:01:16   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   818    0         0.001     1023       10.65     0:01:16   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   804    0         0.001     1023       10.46     0:01:16   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   804    0         0.001     1023       10.46     0:01:16   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   803    0         0.000     1023       10.45     0:01:16   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   819    0         0.001     1023       10.63     0:01:17   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   805    0         0.001     1023       10.44     0:01:17   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   804    0         0.001     1023       10.46     0:01:17   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   804    0         0.000     1023       10.44     0:01:17   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   820    0         0.001     1023       10.63     0:01:17   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   805    0         0.001     1023       10.44     0:01:17   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   805    0         0.001     1023       10.44     0:01:17   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   805    0         0.000     1023       10.43     0:01:17   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   821    0         0.001     1023       10.63     0:01:17   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   807    0         0.001     1023       10.44     0:01:17   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   806    0         0.000     1023       10.44     0:01:17   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   806    0         0.000     1023       10.43     0:01:17   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   822    0         0.001     1023       10.62     0:01:17   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   807    0         0.001     1023       10.44     0:01:17   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   807    0         0.000     1023       10.44     0:01:17   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   807    0         0.000     1023       10.42     0:01:17   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   823    0         0.001     1023       10.62     0:01:17   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   808    0         0.001     1023       10.43     0:01:17   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   808    0         0.000     1023       10.43     0:01:17   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   808    0         0.000     1023       10.42     0:01:17   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   824    0         0.001     1023       10.62     0:01:17   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   809    0         0.001     1023       10.43     0:01:17   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   809    0         0.000     1023       10.43     0:01:17   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   809    0         0.000     1023       10.42     0:01:17   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   825    0         0.001     1023       10.61     0:01:17   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   810    0         0.001     1023       10.43     0:01:17   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   810    0         0.000     1023       10.43     0:01:17   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   810    0         0.000     1023       10.42     0:01:17   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   826    0         0.001     1023       10.61     0:01:17   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   811    0         0.001     1023       10.43     0:01:17   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   811    0         0.000     1023       10.42     0:01:17   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   810    0         0.000     1023       10.42     0:01:17   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   826    0         0.001     1023       10.61     0:01:18   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   812    0         0.001     1023       10.39     0:01:18   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   812    0         0.000     1023       10.38     0:01:18   0:02:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   811    0         0.000     1023       10.38     0:01:18   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   828    0         0.001     1023       10.57     0:01:18   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   813    0         0.001     1023       10.39     0:01:18   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   813    0         0.000     1023       10.38     0:01:18   0:02:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   812    0         0.000     1023       10.37     0:01:18   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   829    0         0.001     1023       10.57     0:01:18   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   814    0         0.001     1023       10.38     0:01:18   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   814    0         0.000     1023       10.38     0:01:18   0:02:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   813    0         0.000     1023       10.37     0:01:18   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   830    0         0.001     1023       10.57     0:01:18   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   815    0         0.001     1023       10.38     0:01:18   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   815    0         0.000     1023       10.38     0:01:18   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   814    0         0.000     1023       10.37     0:01:18   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   831    0         0.001     1023       10.56     0:01:18   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   816    0         0.001     1023       10.38     0:01:18   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   816    0         0.000     1023       10.38     0:01:18   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   815    0         0.000     1023       10.37     0:01:18   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   832    0         0.001     1023       10.56     0:01:18   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   817    0         0.001     1023       10.38     0:01:18   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   817    0         0.000     1023       10.38     0:01:18   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   816    0         0.000     1023       10.37     0:01:18   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   833    0         0.001     223        10.57     0:01:18   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   818    0         0.001     1023       10.37     0:01:18   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   818    0         0.000     1023       10.37     0:01:18   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   817    0         0.000     1023       10.36     0:01:18   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   834    0         0.001     1023       10.56     0:01:19   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   819    0         0.001     1023       10.37     0:01:19   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   819    0         0.000     1023       10.37     0:01:19   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   818    0         0.000     1023       10.36     0:01:19   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   835    0         0.001     1023       10.56     0:01:19   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   820    0         0.001     1023       10.37     0:01:19   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   819    0         0.000     1023       10.37     0:01:19   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   818    0         0.000     1023       10.36     0:01:19   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   836    0         0.001     1023       10.56     0:01:19   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   821    0         0.001     1023       10.36     0:01:19   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   821    0         0.000     1023       10.36     0:01:19   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   819    0         0.000     1023       10.35     0:01:19   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   837    0         0.001     1023       10.55     0:01:19   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   821    0         0.001     1023       10.36     0:01:19   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   821    0         0.000     1023       10.36     0:01:19   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   820    0         0.000     1023       10.34     0:01:19   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   838    0         0.001     1023       10.53     0:01:19   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   822    0         0.001     1023       10.33     0:01:19   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   822    0         0.000     1023       10.34     0:01:19   0:02:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   821    0         0.000     1023       10.32     0:01:19   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   839    0         0.001     1023       10.52     0:01:19   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   823    0         0.001     1023       10.33     0:01:19   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   823    0         0.000     1023       10.33     0:01:19   0:02:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   822    0         0.000     1023       10.32     0:01:19   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   840    0         0.001     1023       10.52     0:01:19   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   824    0         0.001     1023       10.32     0:01:19   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   824    0         0.000     1023       10.32     0:01:19   0:02:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   823    0         0.000     1023       10.31     0:01:19   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   841    0         0.001     1023       10.51     0:01:20   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   825    0         0.001     1023       10.32     0:01:20   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   825    0         0.000     1023       10.32     0:01:19   0:02:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   824    0         0.000     1023       10.30     0:01:19   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   842    0         0.001     1023       10.51     0:01:20   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   826    0         0.001     1023       10.32     0:01:20   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   826    0         0.000     1023       10.32     0:01:20   0:02:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   825    0         0.000     1023       10.30     0:01:20   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   843    0         0.001     1023       10.51     0:01:20   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   827    0         0.001     1023       10.32     0:01:20   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   827    0         0.000     1023       10.31     0:01:20   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   826    0         0.000     1023       10.30     0:01:20   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   844    0         0.001     1023       10.51     0:01:20   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   828    0         0.001     1023       10.31     0:01:20   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   828    0         0.000     1023       10.31     0:01:20   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   827    0         0.000     1023       10.30     0:01:20   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   845    0         0.001     1023       10.50     0:01:20   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   829    0         0.001     1023       10.31     0:01:20   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   829    0         0.000     1023       10.31     0:01:20   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   828    0         0.000     1023       10.30     0:01:20   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   846    0         0.001     1023       10.50     0:01:20   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   830    0         0.001     1023       10.31     0:01:20   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   830    0         0.000     1023       10.30     0:01:20   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   829    0         0.000     1023       10.29     0:01:20   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   846    0         0.001     1023       10.50     0:01:20   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   831    0         0.001     1023       10.30     0:01:20   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   831    0         0.000     1023       10.30     0:01:20   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   830    0         0.000     1023       10.29     0:01:20   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   848    0         0.001     1023       10.50     0:01:20   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   832    0         0.001     1023       10.30     0:01:20   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   831    0         0.000     1023       10.30     0:01:20   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   831    0         0.000     1023       10.29     0:01:20   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   848    0         0.001     1023       10.50     0:01:20   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   832    0         0.001     1023       10.30     0:01:20   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   832    0         0.000     1023       10.30     0:01:20   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   831    0         0.000     1023       10.29     0:01:20   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   849    0         0.001     1023       10.48     0:01:21   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   833    0         0.001     1023       10.28     0:01:21   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   833    0         0.000     1023       10.28     0:01:21   0:02:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   832    0         0.000     1023       10.27     0:01:21   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   850    0         0.001     1023       10.48     0:01:21   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   834    0         0.001     1023       10.28     0:01:21   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   834    0         0.000     1023       10.28     0:01:21   0:02:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   833    0         0.000     1023       10.27     0:01:21   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   851    0         0.001     1023       10.47     0:01:21   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   835    0         0.001     1023       10.28     0:01:21   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   835    0         0.000     1023       10.28     0:01:21   0:02:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   834    0         0.000     1023       10.27     0:01:21   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   852    0         0.001     1023       10.47     0:01:21   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   836    0         0.001     1023       10.28     0:01:21   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   836    0         0.000     1023       10.27     0:01:21   0:02:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   835    0         0.000     1023       10.27     0:01:21   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   853    0         0.001     1023       10.47     0:01:21   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   837    0         0.001     1023       10.27     0:01:21   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   837    0         0.000     1023       10.27     0:01:21   0:02:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   836    0         0.000     1023       10.26     0:01:21   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   855    0         0.001     1023       10.47     0:01:21   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   838    0         0.001     1023       10.27     0:01:21   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   838    0         0.000     1023       10.27     0:01:21   0:02:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   837    0         0.000     1023       10.26     0:01:21   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   856    0         0.001     1023       10.47     0:01:21   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   840    0         0.001     1023       10.27     0:01:21   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   839    0         0.000     1023       10.27     0:01:21   0:02:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   838    0         0.000     1023       10.26     0:01:21   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   857    0         0.001     1023       10.47     0:01:21   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   841    0         0.001     1023       10.27     0:01:21   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   840    0         0.000     1023       10.26     0:01:21   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   840    0         0.000     1023       10.26     0:01:21   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   857    0         0.001     1023       10.47     0:01:21   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   841    0         0.001     1023       10.27     0:01:21   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   840    0         0.000     1023       10.26     0:01:21   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   840    0         0.000     1023       10.26     0:01:21   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   858    0         0.001     1023       10.46     0:01:22   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   842    0         0.001     1023       10.26     0:01:22   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   841    0         0.000     1023       10.26     0:01:22   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   841    0         0.000     1023       10.25     0:01:22   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   860    0         0.001     1023       10.46     0:01:22   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   843    0         0.001     1023       10.26     0:01:22   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   843    0         0.000     1023       10.26     0:01:22   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   842    0         0.000     1023       10.25     0:01:22   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   860    0         0.001     1023       10.46     0:01:22   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   844    0         0.001     1023       10.26     0:01:22   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   843    0         0.000     1023       10.26     0:01:22   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   843    0         0.000     1023       10.25     0:01:22   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   861    0         0.001     1023       10.46     0:01:22   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   845    0         0.001     1023       10.26     0:01:22   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   844    0         0.000     1023       10.25     0:01:22   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   844    0         0.000     1023       10.25     0:01:22   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   862    0         0.001     1023       10.45     0:01:22   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   846    0         0.001     1023       10.26     0:01:22   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   845    0         0.000     1023       10.25     0:01:22   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   845    0         0.000     1023       10.25     0:01:22   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   863    0         0.001     1023       10.44     0:01:22   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   846    0         0.001     1023       10.26     0:01:22   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   846    0         0.000     1023       10.25     0:01:22   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   846    0         0.000     1023       10.24     0:01:22   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   863    0         0.001     1023       10.44     0:01:22   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   847    0         0.001     1023       10.24     0:01:22   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   847    0         0.000     1023       10.23     0:01:22   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   846    0         0.000     1023       10.24     0:01:22   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   864    0         0.001     1023       10.43     0:01:22   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   848    0         0.001     1023       10.24     0:01:22   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   848    0         0.000     1023       10.23     0:01:22   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   847    0         0.000     1023       10.23     0:01:22   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   865    0         0.001     1023       10.42     0:01:23   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   849    0         0.001     1023       10.22     0:01:23   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   849    0         0.000     1023       10.21     0:01:23   0:02:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   848    0         0.000     1023       10.21     0:01:23   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   866    0         0.001     1023       10.41     0:01:23   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   850    0         0.001     1023       10.22     0:01:23   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   850    0         0.000     1023       10.21     0:01:23   0:02:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   849    0         0.000     1023       10.21     0:01:23   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   867    0         0.001     1023       10.41     0:01:23   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   851    0         0.001     1023       10.22     0:01:23   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   851    0         0.000     1023       10.21     0:01:23   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   850    0         0.000     1023       10.21     0:01:23   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   868    0         0.001     1023       10.41     0:01:23   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   852    0         0.001     1023       10.22     0:01:23   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   852    0         0.000     1023       10.21     0:01:23   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   851    0         0.000     1023       10.21     0:01:23   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   869    0         0.001     1023       10.40     0:01:23   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   853    0         0.001     1023       10.21     0:01:23   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   853    0         0.000     1023       10.21     0:01:23   0:02:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   852    0         0.000     1023       10.21     0:01:23   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   870    0         0.001     1023       10.40     0:01:23   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   854    0         0.001     1023       10.21     0:01:23   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   854    0         0.000     1023       10.20     0:01:23   0:02:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   853    0         0.000     1023       10.20     0:01:23   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   871    0         0.001     1023       10.40     0:01:23   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   855    0         0.001     1023       10.21     0:01:23   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   855    0         0.000     1023       10.20     0:01:23   0:02:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   854    0         0.000     1023       10.20     0:01:23   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   872    0         0.001     1023       10.40     0:01:23   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   856    0         0.001     1023       10.21     0:01:23   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   856    0         0.000     1023       10.20     0:01:23   0:02:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   855    0         0.000     1023       10.20     0:01:23   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   873    0         0.001     1023       10.38     0:01:24   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   857    0         0.001     1023       10.19     0:01:24   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   856    0         0.000     1023       10.20     0:01:24   0:02:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   856    0         0.000     1023       10.19     0:01:24   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   874    0         0.001     1023       10.37     0:01:24   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   858    0         0.001     1023       10.18     0:01:24   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   857    0         0.000     1023       10.18     0:01:24   0:02:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m   857    0         0.000     1023       10.18     0:01:24   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   875    0         0.001     1023       10.37     0:01:24   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   858    0         0.001     1023       10.18     0:01:24   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   858    0         0.000     1023       10.18     0:01:24   0:02:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   858    0         0.000     1023       10.17     0:01:24   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   876    0         0.001     1023       10.37     0:01:24   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   859    0         0.001     1023       10.18     0:01:24   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   859    0         0.000     1023       10.18     0:01:24   0:02:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   859    0         0.000     1023       10.17     0:01:24   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   877    0         0.001     1023       10.37     0:01:24   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   860    0         0.001     1023       10.18     0:01:24   0:02:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   860    0         0.000     1023       10.18     0:01:24   0:02:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   860    0         0.000     1023       10.17     0:01:24   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   878    0         0.001     511        10.37     0:01:24   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   861    0         0.001     1023       10.17     0:01:24   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   861    0         0.000     1023       10.18     0:01:24   0:02:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   861    0         0.000     1023       10.17     0:01:24   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   879    0         0.001     1023       10.37     0:01:24   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   862    0         0.001     1023       10.17     0:01:24   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   862    0         0.000     1023       10.17     0:01:24   0:02:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   862    0         0.000     1023       10.17     0:01:24   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   880    0         0.001     1023       10.37     0:01:24   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   863    0         0.001     1023       10.17     0:01:24   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   863    0         0.000     1023       10.17     0:01:24   0:02:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   863    0         0.000     1023       10.17     0:01:24   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   881    0         0.001     1023       10.37     0:01:25   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   863    0         0.001     1023       10.17     0:01:25   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   864    0         0.000     1023       10.17     0:01:25   0:02:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   863    0         0.000     1023       10.17     0:01:25   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   882    0         0.001     1023       10.36     0:01:25   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   865    0         0.001     1023       10.16     0:01:25   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   865    0         0.000     1023       10.16     0:01:25   0:02:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   865    0         0.000     1023       10.16     0:01:25   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   883    0         0.001     1023       10.36     0:01:25   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   866    0         0.001     1023       10.16     0:01:25   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   866    0         0.000     1023       10.16     0:01:25   0:02:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   866    0         0.000     1023       10.16     0:01:25   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   884    0         0.001     1023       10.36     0:01:25   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   867    0         0.001     1023       10.16     0:01:25   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   867    0         0.000     1023       10.16     0:01:25   0:02:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   867    0         0.000     1023       10.16     0:01:25   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   885    0         0.001     1023       10.36     0:01:25   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   868    0         0.001     1023       10.16     0:01:25   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   868    0         0.000     1023       10.15     0:01:25   0:02:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   868    0         0.000     1023       10.16     0:01:25   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   886    0         0.001     1023       10.35     0:01:25   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   869    0         0.001     1023       10.15     0:01:25   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   869    0         0.000     1023       10.15     0:01:25   0:02:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   869    0         0.000     1023       10.15     0:01:25   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   887    0         0.001     1023       10.35     0:01:25   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   870    0         0.001     960        10.15     0:01:25   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   870    0         0.000     1023       10.15     0:01:25   0:02:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   870    0         0.000     1023       10.15     0:01:25   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   888    0         0.001     1023       10.35     0:01:25   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   871    0         0.001     1023       10.15     0:01:25   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   871    0         0.000     1023       10.15     0:01:25   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   871    0         0.000     1023       10.15     0:01:25   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   889    0         0.001     1023       10.34     0:01:25   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   872    0         0.001     1023       10.15     0:01:25   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   872    0         0.000     1023       10.14     0:01:25   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   872    0         0.000     1023       10.14     0:01:25   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   890    0         0.001     1023       10.34     0:01:26   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   872    0         0.001     1023       10.15     0:01:26   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   872    0         0.000     1023       10.14     0:01:26   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   872    0         0.000     1023       10.14     0:01:26   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   890    0         0.001     1023       10.34     0:01:26   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   873    0         0.001     1023       10.13     0:01:26   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   873    0         0.000     1023       10.13     0:01:26   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   873    0         0.000     1023       10.13     0:01:26   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   891    0         0.001     1023       10.32     0:01:26   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   874    0         0.001     1023       10.13     0:01:26   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   874    0         0.000     1023       10.12     0:01:26   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   874    0         0.000     1023       10.13     0:01:26   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   892    0         0.001     1023       10.32     0:01:26   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   875    0         0.001     1023       10.13     0:01:26   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   875    0         0.000     1023       10.12     0:01:26   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   875    0         0.000     1023       10.12     0:01:26   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   893    0         0.001     1023       10.32     0:01:26   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   876    0         0.001     1023       10.13     0:01:26   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   876    0         0.000     1023       10.12     0:01:26   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   876    0         0.000     1023       10.12     0:01:26   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   894    0         0.001     1023       10.32     0:01:26   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   877    0         0.000     1023       10.12     0:01:26   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   877    0         0.000     1023       10.11     0:01:26   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   877    0         0.000     1023       10.12     0:01:26   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   895    0         0.001     1023       10.31     0:01:26   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   877    0         0.000     1023       10.12     0:01:26   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   877    0         0.000     1023       10.11     0:01:26   0:02:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   877    0         0.000     1023       10.12     0:01:26   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   895    0         0.001     1023       10.31     0:01:26   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   878    0         0.000     1023       10.11     0:01:26   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   878    0         0.000     1023       10.11     0:01:26   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   878    0         0.000     1023       10.11     0:01:26   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   896    0         0.001     1023       10.30     0:01:27   0:02:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   879    0         0.000     1023       10.10     0:01:27   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   879    0         0.000     1023       10.10     0:01:27   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   879    0         0.000     1023       10.10     0:01:27   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   897    0         0.001     1023       10.30     0:01:27   0:02:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   880    0         0.000     1023       10.10     0:01:27   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   880    0         0.000     1023       10.10     0:01:27   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   880    0         0.000     1023       10.10     0:01:27   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   898    0         0.001     1023       10.28     0:01:27   0:02:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   880    0         0.000     1023       10.10     0:01:27   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   880    0         0.000     1023       10.10     0:01:27   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   880    0         0.000     1023       10.10     0:01:27   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   899    0         0.001     1023       10.28     0:01:27   0:02:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   881    0         0.000     1023       10.09     0:01:27   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   881    0         0.000     1023       10.08     0:01:27   0:02:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   881    0         0.000     1023       10.09     0:01:27   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   900    0         0.001     1023       10.28     0:01:27   0:02:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   882    0         0.000     1023       10.09     0:01:27   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   882    0         0.000     1023       10.08     0:01:27   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   882    0         0.000     1023       10.09     0:01:27   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   901    0         0.001     1023       10.28     0:01:27   0:02:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   883    0         0.000     1023       10.09     0:01:27   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   883    0         0.000     1023       10.08     0:01:27   0:02:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   883    0         0.000     1023       10.09     0:01:27   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   901    0         0.001     1023       10.28     0:01:27   0:02:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   884    0         0.000     1023       10.08     0:01:27   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   884    0         0.000     1023       10.08     0:01:27   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   884    0         0.000     1023       10.08     0:01:27   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   902    0         0.001     1023       10.27     0:01:27   0:02:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   885    0         0.001     1023       10.08     0:01:27   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   885    0         0.000     1023       10.08     0:01:27   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   885    0         0.000     1023       10.08     0:01:27   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   903    0         0.001     1023       10.27     0:01:28   0:02:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   886    0         0.001     1023       10.08     0:01:28   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   886    0         0.000     1023       10.07     0:01:27   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   886    0         0.000     1023       10.08     0:01:27   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   904    0         0.001     1023       10.27     0:01:28   0:02:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   887    0         0.001     1023       10.07     0:01:28   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   887    0         0.000     1023       10.07     0:01:28   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   887    0         0.000     1023       10.07     0:01:28   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   905    0         0.001     858        10.27     0:01:28   0:02:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   888    0         0.001     1023       10.07     0:01:28   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   888    0         0.000     1023       10.07     0:01:28   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   888    0         0.000     1023       10.07     0:01:28   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   906    0         0.001     1023       10.26     0:01:28   0:02:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   888    0         0.001     1023       10.07     0:01:28   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   888    0         0.000     1023       10.07     0:01:28   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   889    0         0.000     1023       10.07     0:01:28   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   906    0         0.001     1023       10.26     0:01:28   0:02:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   889    0         0.001     1023       10.06     0:01:28   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   889    0         0.000     1023       10.05     0:01:28   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   889    0         0.000     1023       10.07     0:01:28   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   907    0         0.001     1023       10.25     0:01:28   0:02:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   890    0         0.001     1023       10.05     0:01:28   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   890    0         0.000     1023       10.05     0:01:28   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   890    0         0.000     1023       10.06     0:01:28   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   908    0         0.001     1023       10.25     0:01:28   0:02:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   891    0         0.001     1023       10.05     0:01:28   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   891    0         0.000     1023       10.05     0:01:28   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   891    0         0.000     1023       10.05     0:01:28   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   909    0         0.001     1023       10.24     0:01:28   0:02:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   892    0         0.001     1023       10.05     0:01:28   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   892    0         0.000     1023       10.05     0:01:28   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   892    0         0.000     1023       10.05     0:01:28   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   910    0         0.001     1023       10.24     0:01:28   0:02:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   893    0         0.001     1023       10.05     0:01:28   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   893    0         0.000     1023       10.05     0:01:28   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   893    0         0.000     1023       10.05     0:01:28   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   911    0         0.000     767        10.24     0:01:29   0:02:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   893    0         0.001     1023       10.05     0:01:29   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   893    0         0.000     1023       10.05     0:01:29   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   894    0         0.000     1023       10.05     0:01:29   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   912    0         0.000     1023       10.23     0:01:29   0:02:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   894    0         0.001     1023       10.04     0:01:29   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   894    0         0.000     1023       10.03     0:01:29   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   895    0         0.000     1023       10.04     0:01:29   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   912    0         0.000     1023       10.23     0:01:29   0:02:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   895    0         0.001     1023       10.03     0:01:29   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   895    0         0.000     1023       10.03     0:01:29   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   896    0         0.000     1023       10.04     0:01:29   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   913    0         0.000     1023       10.22     0:01:29   0:02:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   896    0         0.001     1023       10.03     0:01:29   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   896    0         0.000     1023       10.03     0:01:29   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   897    0         0.000     1023       10.04     0:01:29   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   914    0         0.000     1023       10.21     0:01:29   0:02:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   896    0         0.001     1023       10.03     0:01:29   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   897    0         0.000     1023       10.02     0:01:29   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   897    0         0.000     1023       10.04     0:01:29   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   915    0         0.000     1023       10.20     0:01:29   0:02:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   898    0         0.001     1023       10.01     0:01:29   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   897    0         0.000     1023       10.02     0:01:29   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   898    0         0.000     1023       10.02     0:01:29   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   916    0         0.000     1023       10.20     0:01:29   0:02:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   898    0         0.001     1023       10.01     0:01:29   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   898    0         0.000     1023       10.01     0:01:29   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   899    0         0.000     1023       10.02     0:01:29   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   916    0         0.000     1023       10.20     0:01:29   0:02:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   899    0         0.001     1023       10.01     0:01:29   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   899    0         0.000     1023       10.01     0:01:29   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   900    0         0.000     1023       10.02     0:01:29   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   917    0         0.000     1023       10.19     0:01:30   0:02:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   900    0         0.001     1023       10.00     0:01:30   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   900    0         0.000     1023       10.00     0:01:30   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   901    0         0.000     1023       10.01     0:01:30   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   918    0         0.000     1023       10.19     0:01:30   0:02:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   901    0         0.001     1023       10.00     0:01:30   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   901    0         0.000     1023       10.00     0:01:30   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   902    0         0.000     1023       10.01     0:01:30   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   919    0         0.000     1023       10.19     0:01:30   0:02:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   902    0         0.001     1023       10.00     0:01:30   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   902    0         0.000     1023       9.99      0:01:30   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   903    0         0.000     1023       10.01     0:01:30   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   920    0         0.000     1023       10.19     0:01:30   0:02:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   903    0         0.001     1023       10.00     0:01:30   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   903    0         0.000     1023       9.99      0:01:30   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   904    0         0.000     1023       10.01     0:01:30   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   921    0         0.000     1023       10.19     0:01:30   0:02:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   904    0         0.001     1023       10.00     0:01:30   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   904    0         0.000     1023       9.99      0:01:30   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   905    0         0.000     1023       10.01     0:01:30   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   923    0         0.000     1023       10.19     0:01:30   0:02:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   905    0         0.001     1023       10.00     0:01:30   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   905    0         0.000     1023       9.99      0:01:30   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   906    0         0.000     1023       10.01     0:01:30   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   923    0         0.000     1023       10.19     0:01:30   0:02:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   906    0         0.001     1023       10.00     0:01:30   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   905    0         0.000     1023       9.99      0:01:30   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   906    0         0.000     1023       10.01     0:01:30   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   924    0         0.000     1023       10.18     0:01:30   0:02:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   907    0         0.001     1023       9.99      0:01:30   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   906    0         0.000     1023       9.98      0:01:30   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   907    0         0.000     1023       10.00     0:01:30   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   925    0         0.000     1023       10.17     0:01:30   0:02:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   908    0         0.001     1023       9.98      0:01:30   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   907    0         0.000     1023       9.98      0:01:30   0:02:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   908    0         0.000     1023       10.00     0:01:30   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   926    0         0.000     1023       10.17     0:01:31   0:02:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   909    0         0.001     1023       9.98      0:01:31   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   908    0         0.000     1023       9.98      0:01:31   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   909    0         0.000     1023       9.99      0:01:31   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   927    0         0.000     1023       10.17     0:01:31   0:02:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   910    0         0.001     1023       9.98      0:01:31   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   909    0         0.000     1023       9.98      0:01:31   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   910    0         0.000     1023       9.99      0:01:31   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   927    0         0.000     1023       10.17     0:01:31   0:02:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   910    0         0.001     1023       9.98      0:01:31   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   910    0         0.000     1023       9.97      0:01:31   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   911    0         0.000     1023       9.99      0:01:31   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   929    0         0.000     1023       10.16     0:01:31   0:02:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   911    0         0.001     1023       9.98      0:01:31   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   911    0         0.000     1023       9.97      0:01:31   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   912    0         0.000     1023       9.99      0:01:31   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   930    0         0.000     1023       10.16     0:01:31   0:02:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   912    0         0.001     1023       9.98      0:01:31   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   912    0         0.000     1023       9.97      0:01:31   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   913    0         0.000     1023       9.99      0:01:31   0:02:23   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   931    0         0.000     1023       10.16     0:01:31   0:02:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   913    0         0.001     1023       9.97      0:01:31   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   913    0         0.000     1023       9.97      0:01:31   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   914    0         0.000     1023       9.98      0:01:31   0:02:23   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   931    0         0.000     1023       10.16     0:01:31   0:02:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   914    0         0.001     1023       9.97      0:01:31   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   914    0         0.000     1023       9.96      0:01:31   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   915    0         0.000     1023       9.98      0:01:31   0:02:23   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   932    0         0.000     1023       10.16     0:01:31   0:02:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   914    0         0.001     1023       9.97      0:01:31   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   914    0         0.000     1023       9.96      0:01:31   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   915    0         0.000     1023       9.98      0:01:31   0:02:23   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   933    0         0.000     1023       10.14     0:01:32   0:02:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   915    0         0.001     1023       9.95      0:01:32   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   915    0         0.000     1023       9.95      0:01:32   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   916    0         0.000     1023       9.96      0:01:32   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   934    0         0.000     1023       10.13     0:01:32   0:02:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   916    0         0.001     1023       9.95      0:01:32   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   916    0         0.000     1023       9.94      0:01:32   0:02:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   917    0         0.000     1023       9.96      0:01:32   0:02:23   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   935    0         0.000     1023       10.13     0:01:32   0:02:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   918    0         0.001     1023       9.95      0:01:32   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   917    0         0.000     1023       9.94      0:01:32   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   918    0         0.000     1023       9.96      0:01:32   0:02:23   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   936    0         0.000     1023       10.13     0:01:32   0:02:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   919    0         0.001     1023       9.95      0:01:32   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   918    0         0.000     1023       9.94      0:01:32   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   919    0         0.000     1023       9.96      0:01:32   0:02:23   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   937    0         0.000     1023       10.13     0:01:32   0:02:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   919    0         0.001     1023       9.95      0:01:32   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   919    0         0.000     1023       9.94      0:01:32   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   920    0         0.000     1023       9.95      0:01:32   0:02:23   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   938    0         0.000     1023       10.13     0:01:32   0:02:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   921    0         0.001     1023       9.94      0:01:32   0:02:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   920    0         0.000     1023       9.94      0:01:32   0:02:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   921    0         0.000     1023       9.95      0:01:32   0:02:23   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   939    0         0.000     1023       10.13     0:01:32   0:02:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   922    0         0.001     1023       9.94      0:01:32   0:02:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   922    0         0.000     1023       9.94      0:01:32   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   923    0         0.000     1023       9.95      0:01:32   0:02:22   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   940    0         0.000     1023       10.13     0:01:32   0:02:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   923    0         0.001     1023       9.94      0:01:32   0:02:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   923    0         0.000     1023       9.94      0:01:32   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   924    0         0.000     1023       9.95      0:01:32   0:02:22   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   941    0         0.000     1023       10.13     0:01:32   0:02:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   924    0         0.001     1023       9.94      0:01:32   0:02:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   924    0         0.000     1023       9.94      0:01:32   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   925    0         0.000     1023       9.95      0:01:32   0:02:22   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   942    0         0.000     1023       10.13     0:01:33   0:02:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   924    0         0.001     1023       9.94      0:01:33   0:02:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   924    0         0.000     1023       9.94      0:01:33   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   925    0         0.000     1023       9.95      0:01:33   0:02:22   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   943    0         0.000     1023       10.11     0:01:33   0:02:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   925    0         0.001     1023       9.93      0:01:33   0:02:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   925    0         0.000     1023       9.93      0:01:33   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   926    0         0.000     1023       9.94      0:01:33   0:02:22   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   943    0         0.000     1023       10.11     0:01:33   0:02:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   926    0         0.001     1023       9.93      0:01:33   0:02:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   926    0         0.000     1023       9.92      0:01:33   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   927    0         0.000     1023       9.94      0:01:33   0:02:22   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   945    0         0.000     1023       10.11     0:01:33   0:02:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   927    0         0.001     1023       9.93      0:01:33   0:02:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   927    0         0.000     1023       9.92      0:01:33   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   928    0         0.000     1023       9.94      0:01:33   0:02:21   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   945    0         0.000     1023       10.11     0:01:33   0:02:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   928    0         0.001     1023       9.93      0:01:33   0:02:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   928    0         0.000     1023       9.92      0:01:33   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   929    0         0.000     1023       9.94      0:01:33   0:02:21   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   946    0         0.000     1023       10.11     0:01:33   0:02:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   929    0         0.001     1023       9.92      0:01:33   0:02:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   929    0         0.000     1023       9.92      0:01:33   0:02:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   930    0         0.000     1023       9.93      0:01:33   0:02:21   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   947    0         0.000     1023       10.11     0:01:33   0:02:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   930    0         0.001     1023       9.92      0:01:33   0:02:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   930    0         0.000     1023       9.92      0:01:33   0:02:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   931    0         0.000     1023       9.93      0:01:33   0:02:21   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   948    0         0.000     1023       10.10     0:01:33   0:02:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   932    0         0.001     1023       9.92      0:01:33   0:02:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   931    0         0.000     1023       9.92      0:01:33   0:02:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   932    0         0.000     1023       9.93      0:01:33   0:02:21   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   949    0         0.000     1023       10.10     0:01:34   0:02:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   933    0         0.001     1023       9.92      0:01:34   0:02:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   932    0         0.000     1023       9.92      0:01:34   0:02:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   933    0         0.000     1023       9.93      0:01:34   0:02:21   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   951    0         0.000     1023       10.10     0:01:34   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   933    0         0.001     1023       9.92      0:01:34   0:02:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   933    0         0.000     1023       9.92      0:01:34   0:02:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   934    0         0.000     1023       9.93      0:01:34   0:02:20   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   952    0         0.000     1023       10.09     0:01:34   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   934    0         0.001     1023       9.91      0:01:34   0:02:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   934    0         0.000     1023       9.91      0:01:34   0:02:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   935    0         0.000     1023       9.92      0:01:34   0:02:21   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   953    0         0.000     1023       10.09     0:01:34   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   936    0         0.001     1023       9.91      0:01:34   0:02:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   935    0         0.000     1023       9.91      0:01:34   0:02:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   937    0         0.000     1023       9.92      0:01:34   0:02:20   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   954    0         0.000     1023       10.09     0:01:34   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   937    0         0.001     1023       9.91      0:01:34   0:02:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   937    0         0.000     1023       9.91      0:01:34   0:02:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   938    0         0.000     1023       9.92      0:01:34   0:02:20   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   955    0         0.000     1023       10.09     0:01:34   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   938    0         0.001     1023       9.91      0:01:34   0:02:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   938    0         0.000     1023       9.91      0:01:34   0:02:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   939    0         0.000     1023       9.92      0:01:34   0:02:19   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   956    0         0.000     1023       10.09     0:01:34   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   939    0         0.001     1023       9.91      0:01:34   0:02:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   939    0         0.000     1023       9.91      0:01:34   0:02:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   940    0         0.000     1023       9.93      0:01:34   0:02:19   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   957    0         0.000     1023       10.09     0:01:34   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   940    0         0.001     1023       9.91      0:01:34   0:02:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   940    0         0.000     1023       9.91      0:01:34   0:02:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   941    0         0.000     1023       9.93      0:01:34   0:02:19   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   958    0         0.000     1023       10.09     0:01:35   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   941    0         0.001     1023       9.91      0:01:35   0:02:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   941    0         0.000     1023       9.91      0:01:35   0:02:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   942    0         0.000     1023       9.92      0:01:35   0:02:19   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   960    0         0.000     1023       10.09     0:01:35   0:02:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   942    0         0.001     1023       9.91      0:01:35   0:02:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   942    0         0.000     1023       9.91      0:01:35   0:02:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   943    0         0.000     1023       9.92      0:01:35   0:02:19   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   961    0         0.000     1023       10.09     0:01:35   0:02:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   943    0         0.001     1023       9.91      0:01:35   0:02:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   943    0         0.000     1023       9.91      0:01:35   0:02:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   944    0         0.000     1023       9.92      0:01:35   0:02:18   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   961    0         0.000     1023       10.09     0:01:35   0:02:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   944    0         0.001     1023       9.91      0:01:35   0:02:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   944    0         0.000     1023       9.90      0:01:35   0:02:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   945    0         0.000     1023       9.92      0:01:35   0:02:18   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   962    0         0.000     1023       10.08     0:01:35   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   945    0         0.001     1023       9.89      0:01:35   0:02:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   945    0         0.000     1023       9.89      0:01:35   0:02:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   946    0         0.000     1023       9.91      0:01:35   0:02:19   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   963    0         0.000     1023       10.07     0:01:35   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   946    0         0.001     1023       9.89      0:01:35   0:02:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   945    0         0.000     1023       9.89      0:01:35   0:02:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   947    0         0.000     1023       9.90      0:01:35   0:02:19   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   964    0         0.000     1023       10.07     0:01:35   0:02:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   947    0         0.001     1023       9.89      0:01:35   0:02:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   947    0         0.000     1023       9.89      0:01:35   0:02:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   948    0         0.000     1023       9.90      0:01:35   0:02:18   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   965    0         0.000     1023       10.07     0:01:35   0:02:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   948    0         0.001     1023       9.89      0:01:35   0:02:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   948    0         0.000     1023       9.89      0:01:35   0:02:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   949    0         0.000     1023       9.90      0:01:35   0:02:18   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   966    0         0.000     1023       10.07     0:01:36   0:02:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   949    0         0.001     1023       9.89      0:01:36   0:02:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   949    0         0.000     1023       9.89      0:01:36   0:02:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   950    0         0.000     1023       9.90      0:01:36   0:02:18   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   968    0         0.000     1023       10.07     0:01:36   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   950    0         0.001     1023       9.89      0:01:36   0:02:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   950    0         0.000     1023       9.89      0:01:36   0:02:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   951    0         0.000     1023       9.90      0:01:36   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   969    0         0.000     1023       10.07     0:01:36   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   951    0         0.001     1023       9.89      0:01:36   0:02:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   951    0         0.000     1023       9.89      0:01:36   0:02:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   952    0         0.000     1023       9.90      0:01:36   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   970    0         0.000     1023       10.07     0:01:36   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   952    0         0.001     1023       9.89      0:01:36   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   952    0         0.000     1023       9.89      0:01:36   0:02:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   954    0         0.000     1023       9.90      0:01:36   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   971    0         0.000     1023       10.07     0:01:36   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   953    0         0.001     1023       9.89      0:01:36   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   954    0         0.000     1023       9.89      0:01:36   0:02:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   955    0         0.000     1023       9.90      0:01:36   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   972    0         0.000     1023       10.07     0:01:36   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   955    0         0.001     1023       9.89      0:01:36   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   955    0         0.000     1023       9.89      0:01:36   0:02:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   956    0         0.000     1023       9.90      0:01:36   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   973    0         0.000     1023       10.07     0:01:36   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   955    0         0.001     1023       9.89      0:01:36   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   955    0         0.000     1023       9.89      0:01:36   0:02:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   956    0         0.000     1023       9.90      0:01:36   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   974    0         0.000     1023       10.07     0:01:36   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   956    0         0.001     1023       9.88      0:01:36   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   956    0         0.000     1023       9.88      0:01:36   0:02:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   957    0         0.000     1023       9.90      0:01:36   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   975    0         0.000     1023       10.07     0:01:36   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   957    0         0.001     1023       9.88      0:01:36   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   957    0         0.000     1023       9.88      0:01:36   0:02:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   959    0         0.000     1023       9.90      0:01:36   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   976    0         0.000     1023       10.07     0:01:37   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   958    0         0.001     1023       9.88      0:01:37   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   958    0         0.000     1023       9.88      0:01:37   0:02:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   960    0         0.000     1023       9.90      0:01:37   0:02:15   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   977    0         0.000     1023       10.06     0:01:37   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   959    0         0.001     1023       9.88      0:01:37   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   959    0         0.000     1023       9.88      0:01:37   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   960    0         0.000     1023       9.90      0:01:37   0:02:15   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   978    0         0.000     1023       10.06     0:01:37   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   960    0         0.001     1023       9.88      0:01:37   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   960    0         0.000     1023       9.88      0:01:37   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   961    0         0.001     1023       9.89      0:01:37   0:02:15   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   979    0         0.000     1023       10.06     0:01:37   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   961    0         0.001     1023       9.87      0:01:37   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   961    0         0.000     1023       9.87      0:01:37   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   962    0         0.001     1023       9.89      0:01:37   0:02:15   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   980    0         0.000     1023       10.05     0:01:37   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   962    0         0.001     1023       9.87      0:01:37   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   962    0         0.000     1023       9.87      0:01:37   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   963    0         0.001     1023       9.88      0:01:37   0:02:15   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   981    0         0.000     1023       10.05     0:01:37   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   963    0         0.001     1023       9.87      0:01:37   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   963    0         0.000     1023       9.87      0:01:37   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   964    0         0.001     1023       9.88      0:01:37   0:02:15   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   982    0         0.000     1023       10.05     0:01:37   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   964    0         0.001     1023       9.87      0:01:37   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   964    0         0.000     1023       9.87      0:01:37   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   965    0         0.001     1023       9.88      0:01:37   0:02:15   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   982    0         0.000     1023       10.05     0:01:37   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   965    0         0.001     1023       9.87      0:01:37   0:02:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   964    0         0.000     1023       9.87      0:01:37   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   965    0         0.001     1023       9.88      0:01:37   0:02:15   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   983    0         0.000     1023       10.04     0:01:38   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   965    0         0.001     1023       9.87      0:01:38   0:02:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   965    0         0.000     1023       9.86      0:01:37   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   966    0         0.001     1023       9.87      0:01:37   0:02:15   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   984    0         0.000     1023       10.04     0:01:38   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   966    0         0.001     1023       9.85      0:01:38   0:02:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   966    0         0.000     1023       9.85      0:01:38   0:02:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   967    0         0.001     1023       9.86      0:01:38   0:02:15   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   985    0         0.000     1023       10.03     0:01:38   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   967    0         0.001     1023       9.85      0:01:38   0:02:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   967    0         0.000     1023       9.85      0:01:38   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   968    0         0.001     1023       9.86      0:01:38   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   986    0         0.000     1023       10.03     0:01:38   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   968    0         0.001     1023       9.85      0:01:38   0:02:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   968    0         0.000     1023       9.85      0:01:38   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   969    0         0.001     1023       9.86      0:01:38   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   987    0         0.000     1023       10.03     0:01:38   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   969    0         0.001     1023       9.85      0:01:38   0:02:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   969    0         0.000     1023       9.85      0:01:38   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   970    0         0.001     1023       9.86      0:01:38   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   988    0         0.000     1023       10.03     0:01:38   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   970    0         0.001     1023       9.85      0:01:38   0:02:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   970    0         0.000     1023       9.85      0:01:38   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   971    0         0.001     1023       9.86      0:01:38   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   989    0         0.000     1023       10.03     0:01:38   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   970    0         0.001     1023       9.85      0:01:38   0:02:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   970    0         0.000     1023       9.85      0:01:38   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   972    0         0.001     1023       9.85      0:01:38   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   990    0         0.000     1023       10.02     0:01:38   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   972    0         0.001     1023       9.84      0:01:38   0:02:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   972    0         0.000     1023       9.84      0:01:38   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   973    0         0.001     1023       9.85      0:01:38   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   991    0         0.000     1023       10.02     0:01:38   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   973    0         0.001     1023       9.84      0:01:38   0:02:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   972    0         0.000     1023       9.84      0:01:38   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   974    0         0.001     1023       9.85      0:01:38   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   992    0         0.000     1023       10.02     0:01:39   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   973    0         0.001     1023       9.84      0:01:39   0:02:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   973    0         0.000     1023       9.84      0:01:39   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   974    0         0.001     1023       9.85      0:01:39   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   992    0         0.000     1023       10.02     0:01:39   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   974    0         0.001     1023       9.83      0:01:39   0:02:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   974    0         0.000     1023       9.83      0:01:39   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   975    0         0.001     1023       9.85      0:01:39   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   993    0         0.000     1023       10.01     0:01:39   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   975    0         0.001     1023       9.83      0:01:39   0:02:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   975    0         0.000     1023       9.83      0:01:39   0:02:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   977    0         0.001     1023       9.84      0:01:39   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   994    0         0.000     1023       10.01     0:01:39   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   976    0         0.001     1023       9.83      0:01:39   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   976    0         0.000     1023       9.83      0:01:39   0:02:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   978    0         0.001     1023       9.84      0:01:39   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   995    0         0.000     1023       10.01     0:01:39   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   977    0         0.001     1023       9.83      0:01:39   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   977    0         0.000     1023       9.83      0:01:39   0:02:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   978    0         0.001     1023       9.84      0:01:39   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   996    0         0.000     1023       10.01     0:01:39   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   978    0         0.001     1023       9.83      0:01:39   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   978    0         0.001     1023       9.83      0:01:39   0:02:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   979    0         0.001     1023       9.84      0:01:39   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   997    0         0.000     1023       10.01     0:01:39   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   979    0         0.001     1023       9.82      0:01:39   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   979    0         0.001     1023       9.82      0:01:39   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   980    0         0.001     1023       9.84      0:01:39   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   998    0         0.000     1023       10.00     0:01:39   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   980    0         0.001     1023       9.82      0:01:39   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   980    0         0.001     1023       9.82      0:01:39   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   981    0         0.001     1023       9.83      0:01:39   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   999    0         0.000     1023       9.99      0:01:40   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   981    0         0.001     1023       9.81      0:01:40   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   981    0         0.000     1023       9.81      0:01:40   0:02:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   982    0         0.001     1023       9.82      0:01:40   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1000   0         0.000     1023       9.99      0:01:40   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   982    0         0.001     1023       9.81      0:01:40   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   982    0         0.000     1023       9.81      0:01:40   0:02:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   983    0         0.001     1023       9.82      0:01:40   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1001   0         0.000     1023       9.99      0:01:40   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   982    0         0.001     1023       9.81      0:01:40   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   983    0         0.000     1023       9.81      0:01:40   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   984    0         0.001     1023       9.82      0:01:40   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1002   0         0.000     1023       9.99      0:01:40   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   983    0         0.001     1023       9.80      0:01:40   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   983    0         0.000     1023       9.81      0:01:40   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   984    0         0.001     1023       9.82      0:01:40   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1003   0         0.000     1023       9.98      0:01:40   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   984    0         0.001     1023       9.80      0:01:40   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   984    0         0.000     1023       9.80      0:01:40   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   985    0         0.001     1023       9.81      0:01:40   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1003   0         0.000     1023       9.98      0:01:40   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   985    0         0.001     1023       9.79      0:01:40   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   985    0         0.000     1023       9.80      0:01:40   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   986    0         0.001     1023       9.81      0:01:40   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1004   0         0.000     1023       9.98      0:01:40   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   986    0         0.001     1023       9.79      0:01:40   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   986    0         0.000     1023       9.80      0:01:40   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   987    0         0.001     1023       9.81      0:01:40   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1005   0         0.000     1023       9.98      0:01:40   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   986    0         0.001     1023       9.79      0:01:40   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   987    0         0.000     1023       9.79      0:01:40   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   988    0         0.001     1023       9.81      0:01:40   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1006   0         0.000     1023       9.97      0:01:40   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   987    0         0.001     1023       9.79      0:01:40   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   988    0         0.000     1023       9.79      0:01:40   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   989    0         0.001     1023       9.80      0:01:40   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1007   0         0.000     1023       9.97      0:01:41   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   988    0         0.001     1023       9.79      0:01:41   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   989    0         0.000     1023       9.79      0:01:41   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   990    0         0.001     1023       9.80      0:01:41   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1007   0         0.000     1023       9.97      0:01:41   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   989    0         0.001     1023       9.78      0:01:41   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   989    0         0.000     1023       9.79      0:01:41   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   990    0         0.001     1023       9.80      0:01:41   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1008   0         0.000     1023       9.96      0:01:41   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   989    0         0.001     1023       9.78      0:01:41   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   990    0         0.000     1023       9.77      0:01:41   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   991    0         0.001     1023       9.79      0:01:41   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1008   0         0.000     1023       9.96      0:01:41   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   990    0         0.001     1023       9.77      0:01:41   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   990    0         0.000     1023       9.77      0:01:41   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   992    0         0.001     1023       9.78      0:01:41   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1010   0         0.000     1023       9.95      0:01:41   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   991    0         0.001     1023       9.77      0:01:41   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   991    0         0.001     1023       9.77      0:01:41   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   993    0         0.001     1023       9.78      0:01:41   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1011   0         0.000     1023       9.95      0:01:41   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   992    0         0.001     1023       9.77      0:01:41   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   993    0         0.001     1023       9.77      0:01:41   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   994    0         0.001     1023       9.78      0:01:41   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1012   0         0.000     1023       9.95      0:01:41   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   993    0         0.001     1023       9.76      0:01:41   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   993    0         0.001     1023       9.77      0:01:41   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   995    0         0.001     1023       9.78      0:01:41   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1013   0         0.000     1023       9.94      0:01:41   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   994    0         0.001     1023       9.76      0:01:41   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   994    0         0.001     1023       9.77      0:01:41   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   996    0         0.001     1023       9.78      0:01:41   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1013   0         0.000     1023       9.94      0:01:42   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   994    0         0.001     1023       9.76      0:01:41   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   995    0         0.001     1023       9.76      0:01:41   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   996    0         0.001     1023       9.78      0:01:41   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1014   0         0.000     1023       9.93      0:01:42   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   995    0         0.001     1023       9.75      0:01:42   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   995    0         0.001     1023       9.76      0:01:42   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   997    0         0.001     1023       9.77      0:01:42   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1015   0         0.000     1023       9.93      0:01:42   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   996    0         0.001     1023       9.75      0:01:42   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   996    0         0.001     1023       9.75      0:01:42   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   998    0         0.001     1023       9.76      0:01:42   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1016   0         0.000     1023       9.93      0:01:42   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   997    0         0.001     1023       9.75      0:01:42   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   997    0         0.001     1023       9.75      0:01:42   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   999    0         0.001     1023       9.76      0:01:42   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1016   0         0.000     1023       9.93      0:01:42   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   998    0         0.001     1023       9.74      0:01:42   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   998    0         0.001     1023       9.75      0:01:42   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   999    0         0.001     1023       9.76      0:01:42   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1017   0         0.000     1023       9.92      0:01:42   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   999    0         0.001     1023       9.74      0:01:42   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   999    0         0.001     1023       9.74      0:01:42   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1000   0         0.001     1023       9.76      0:01:42   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1018   0         0.000     1023       9.92      0:01:42   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m   999    0         0.001     1023       9.74      0:01:42   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1000   0         0.001     1023       9.74      0:01:42   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1001   0         0.001     1023       9.75      0:01:42   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1019   0         0.000     1023       9.90      0:01:42   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1000   0         0.001     1023       9.72      0:01:42   0:02:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1001   0         0.001     1023       9.72      0:01:42   0:02:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1002   0         0.001     1023       9.74      0:01:42   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1020   0         0.000     1023       9.90      0:01:43   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1002   0         0.001     1023       9.72      0:01:43   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1002   0         0.001     1023       9.72      0:01:43   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1003   0         0.001     1023       9.74      0:01:43   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1021   0         0.000     1023       9.90      0:01:43   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1003   0         0.001     1023       9.72      0:01:43   0:02:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1003   0         0.001     1023       9.72      0:01:43   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1004   0         0.001     1023       9.74      0:01:43   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1022   0         0.000     1023       9.90      0:01:43   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1004   0         0.001     1023       9.72      0:01:43   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1004   0         0.001     1023       9.72      0:01:43   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1005   0         0.001     1023       9.74      0:01:43   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1023   0         0.000     1023       9.89      0:01:43   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1005   0         0.001     1023       9.72      0:01:43   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1005   0         0.001     1023       9.72      0:01:43   0:02:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1006   0         0.001     1023       9.73      0:01:43   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1024   0         0.000     1023       9.90      0:01:43   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1006   0         0.001     1023       9.72      0:01:43   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1006   0         0.001     1023       9.72      0:01:43   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1008   0         0.001     1023       9.74      0:01:43   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1025   0         0.000     1023       9.90      0:01:43   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1007   0         0.001     1023       9.72      0:01:43   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1007   0         0.001     1023       9.72      0:01:43   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1009   0         0.001     1023       9.74      0:01:43   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1026   0         0.000     1023       9.90      0:01:43   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1008   0         0.001     1023       9.72      0:01:43   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1008   0         0.001     1023       9.72      0:01:43   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1010   0         0.001     1023       9.73      0:01:43   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1027   0         0.000     1023       9.89      0:01:43   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1008   0         0.001     1023       9.72      0:01:43   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1009   0         0.001     1023       9.72      0:01:43   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1010   0         0.001     1023       9.73      0:01:43   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1027   0         0.000     1023       9.89      0:01:44   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1009   0         0.001     1023       9.70      0:01:44   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1009   0         0.001     1023       9.72      0:01:44   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1011   0         0.001     1023       9.72      0:01:44   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1028   0         0.000     1023       9.87      0:01:44   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1010   0         0.001     1023       9.69      0:01:44   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1010   0         0.001     1023       9.70      0:01:44   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1012   0         0.001     1023       9.71      0:01:44   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1030   0         0.000     1023       9.87      0:01:44   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1011   0         0.001     1023       9.69      0:01:44   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1011   0         0.001     1023       9.70      0:01:44   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1013   0         0.001     1023       9.71      0:01:44   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1030   0         0.000     1023       9.87      0:01:44   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1012   0         0.001     1023       9.69      0:01:44   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1012   0         0.001     1023       9.70      0:01:44   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1014   0         0.001     1023       9.71      0:01:44   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1031   0         0.000     1023       9.87      0:01:44   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1013   0         0.001     1023       9.69      0:01:44   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1013   0         0.001     1023       9.69      0:01:44   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1015   0         0.001     1023       9.71      0:01:44   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1032   0         0.000     1023       9.86      0:01:44   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1013   0         0.001     1023       9.69      0:01:44   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1014   0         0.001     1023       9.69      0:01:44   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1015   0         0.001     1023       9.71      0:01:44   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1032   0         0.000     1023       9.86      0:01:44   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1014   0         0.001     1023       9.68      0:01:44   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1014   0         0.001     1023       9.69      0:01:44   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1016   0         0.001     1023       9.69      0:01:44   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1033   0         0.000     1023       9.85      0:01:44   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1014   0         0.001     1023       9.68      0:01:44   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1015   0         0.001     1023       9.68      0:01:44   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1016   0         0.001     1023       9.69      0:01:44   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1034   0         0.000     1023       9.85      0:01:45   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1015   0         0.001     1023       9.67      0:01:45   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1016   0         0.001     1023       9.68      0:01:45   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1017   0         0.001     1023       9.69      0:01:45   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1035   0         0.000     1023       9.85      0:01:45   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1016   0         0.001     1023       9.67      0:01:45   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1017   0         0.001     1023       9.67      0:01:45   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1018   0         0.001     1023       9.69      0:01:45   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1036   0         0.000     1023       9.85      0:01:45   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1017   0         0.001     1023       9.67      0:01:45   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1018   0         0.001     1023       9.67      0:01:45   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1019   0         0.001     1023       9.69      0:01:45   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1037   0         0.000     1023       9.84      0:01:45   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1018   0         0.001     1023       9.67      0:01:45   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1019   0         0.001     1023       9.67      0:01:45   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1020   0         0.001     1023       9.69      0:01:45   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1037   0         0.000     1023       9.84      0:01:45   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1018   0         0.001     1023       9.67      0:01:45   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1019   0         0.001     1023       9.67      0:01:45   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1021   0         0.001     1023       9.68      0:01:45   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1038   0         0.000     1023       9.83      0:01:45   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1019   0         0.001     1023       9.65      0:01:45   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1020   0         0.001     1023       9.65      0:01:45   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1021   0         0.001     1023       9.68      0:01:45   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1039   0         0.000     1023       9.82      0:01:45   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1020   0         0.001     1023       9.64      0:01:45   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1021   0         0.001     1023       9.65      0:01:45   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1022   0         0.001     1023       9.66      0:01:45   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1040   0         0.000     1023       9.82      0:01:45   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1021   0         0.001     1023       9.64      0:01:45   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1022   0         0.001     1023       9.65      0:01:45   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1023   0         0.001     1023       9.66      0:01:45   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1041   0         0.000     1023       9.82      0:01:46   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1022   0         0.001     1023       9.64      0:01:46   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1023   0         0.001     1023       9.65      0:01:46   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1024   0         0.001     1023       9.66      0:01:46   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1042   0         0.000     1023       9.82      0:01:46   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1023   0         0.001     1023       9.64      0:01:46   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1024   0         0.001     1023       9.65      0:01:46   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1026   0         0.001     1023       9.66      0:01:46   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1043   0         0.000     1023       9.82      0:01:46   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1024   0         0.001     1023       9.64      0:01:46   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1025   0         0.001     1023       9.65      0:01:46   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1026   0         0.001     1023       9.66      0:01:46   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1044   0         0.000     1023       9.81      0:01:46   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1025   0         0.001     1023       9.63      0:01:46   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1026   0         0.001     1023       9.64      0:01:46   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1028   0         0.001     1023       9.66      0:01:46   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1046   0         0.000     1023       9.81      0:01:46   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1026   0         0.001     1023       9.63      0:01:46   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1027   0         0.001     1023       9.64      0:01:46   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1029   0         0.001     1023       9.66      0:01:46   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1047   0         0.000     1023       9.81      0:01:46   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1027   0         0.001     1023       9.63      0:01:46   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1028   0         0.001     1023       9.64      0:01:46   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1030   0         0.001     1023       9.66      0:01:46   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1048   0         0.000     1023       9.81      0:01:46   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1028   0         0.001     1023       9.63      0:01:46   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1029   0         0.001     1023       9.64      0:01:46   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1031   0         0.001     1023       9.66      0:01:46   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1048   0         0.000     1023       9.81      0:01:46   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1029   0         0.001     1023       9.63      0:01:46   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1030   0         0.001     1023       9.64      0:01:46   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1032   0         0.001     1023       9.66      0:01:46   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1049   0         0.000     1023       9.81      0:01:47   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1030   0         0.001     1023       9.62      0:01:47   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1030   0         0.001     1023       9.64      0:01:47   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1032   0         0.001     1023       9.66      0:01:47   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1050   0         0.000     1023       9.80      0:01:47   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1030   0         0.001     1023       9.62      0:01:47   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1031   0         0.001     1023       9.62      0:01:47   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1033   0         0.001     1023       9.64      0:01:47   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1051   0         0.000     1023       9.79      0:01:47   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1031   0         0.001     1023       9.62      0:01:47   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1032   0         0.001     1023       9.62      0:01:47   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1034   0         0.001     1023       9.64      0:01:47   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1051   0         0.000     1023       9.79      0:01:47   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1032   0         0.001     1023       9.61      0:01:47   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1033   0         0.001     1023       9.62      0:01:47   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1035   0         0.001     1023       9.64      0:01:47   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1052   0         0.000     1023       9.79      0:01:47   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1033   0         0.001     1023       9.61      0:01:47   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1034   0         0.001     1023       9.62      0:01:47   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1035   0         0.001     1023       9.64      0:01:47   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1053   0         0.000     1023       9.79      0:01:47   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1034   0         0.001     1023       9.60      0:01:47   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1034   0         0.001     1023       9.62      0:01:47   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1036   0         0.001     1023       9.63      0:01:47   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1054   0         0.000     1023       9.78      0:01:47   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1034   0         0.001     1023       9.60      0:01:47   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1035   0         0.001     1023       9.61      0:01:47   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1037   0         0.001     1023       9.63      0:01:47   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1054   0         0.000     1023       9.78      0:01:47   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1035   0         0.001     1023       9.60      0:01:47   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1035   0         0.001     1023       9.61      0:01:47   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1037   0         0.001     1023       9.63      0:01:47   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1055   0         0.000     1023       9.77      0:01:48   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1036   0         0.001     1023       9.59      0:01:48   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1037   0         0.001     1023       9.60      0:01:48   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1038   0         0.001     1023       9.62      0:01:48   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1056   0         0.000     1023       9.77      0:01:48   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1037   0         0.001     1023       9.59      0:01:48   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1038   0         0.001     1023       9.60      0:01:48   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1039   0         0.001     1023       9.62      0:01:48   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1057   0         0.000     1023       9.77      0:01:48   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1037   0         0.001     1023       9.59      0:01:48   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1038   0         0.001     1023       9.60      0:01:48   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1040   0         0.001     1023       9.62      0:01:48   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1058   0         0.000     1023       9.77      0:01:48   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1038   0         0.001     1023       9.59      0:01:48   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1039   0         0.001     1023       9.60      0:01:48   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1041   0         0.001     1023       9.61      0:01:48   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1059   0         0.000     1023       9.77      0:01:48   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1039   0         0.001     1023       9.59      0:01:48   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1041   0         0.001     1023       9.60      0:01:48   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1042   0         0.001     1023       9.61      0:01:48   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1060   0         0.000     1023       9.77      0:01:48   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1040   0         0.001     1023       9.59      0:01:48   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1041   0         0.001     1023       9.60      0:01:48   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1043   0         0.001     1023       9.61      0:01:48   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1060   0         0.000     1023       9.77      0:01:48   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1041   0         0.001     1023       9.58      0:01:48   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1042   0         0.001     1023       9.59      0:01:48   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1043   0         0.001     1023       9.61      0:01:48   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1061   0         0.000     1023       9.76      0:01:48   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1042   0         0.001     1023       9.57      0:01:48   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1043   0         0.001     1023       9.59      0:01:48   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1044   0         0.001     1023       9.60      0:01:48   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1062   0         0.000     1023       9.75      0:01:48   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1042   0         0.001     1023       9.57      0:01:48   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1044   0         0.001     1023       9.58      0:01:48   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1045   0         0.001     1023       9.60      0:01:48   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1063   0         0.000     1023       9.75      0:01:49   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1043   0         0.001     1023       9.57      0:01:49   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1044   0         0.001     1023       9.58      0:01:49   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1046   0         0.001     1023       9.60      0:01:49   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1064   0         0.000     1023       9.75      0:01:49   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1044   0         0.001     1023       9.57      0:01:49   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1045   0         0.001     1023       9.58      0:01:49   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1047   0         0.001     1023       9.59      0:01:49   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1065   0         0.000     1023       9.74      0:01:49   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1045   0         0.001     1023       9.57      0:01:49   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1046   0         0.001     1023       9.58      0:01:49   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1048   0         0.001     1023       9.59      0:01:49   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1065   0         0.000     1023       9.74      0:01:49   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1045   0         0.001     1023       9.57      0:01:49   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1047   0         0.001     1023       9.57      0:01:49   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1048   0         0.001     1023       9.59      0:01:49   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1065   0         0.000     1023       9.74      0:01:49   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1046   0         0.001     1023       9.56      0:01:49   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1047   0         0.001     1023       9.57      0:01:49   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1048   0         0.001     1023       9.59      0:01:49   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1066   0         0.000     1023       9.73      0:01:49   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1047   0         0.001     1023       9.55      0:01:49   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1048   0         0.001     1023       9.56      0:01:49   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1049   0         0.001     1023       9.57      0:01:49   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1067   0         0.000     1023       9.72      0:01:49   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1047   0         0.001     1023       9.55      0:01:49   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1048   0         0.001     1023       9.56      0:01:49   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1050   0         0.001     1023       9.57      0:01:49   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1068   0         0.000     1023       9.71      0:01:49   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1048   0         0.001     1023       9.54      0:01:49   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1049   0         0.001     1023       9.55      0:01:49   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1051   0         0.001     1023       9.56      0:01:49   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1068   0         0.000     1023       9.71      0:01:50   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1049   0         0.001     1023       9.54      0:01:50   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1050   0         0.001     1023       9.55      0:01:50   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1052   0         0.001     1023       9.56      0:01:50   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1069   0         0.000     1023       9.71      0:01:50   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1049   0         0.001     1023       9.54      0:01:50   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1051   0         0.001     1023       9.54      0:01:50   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1052   0         0.001     1023       9.56      0:01:50   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1069   0         0.000     1023       9.71      0:01:50   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1050   0         0.001     1023       9.53      0:01:50   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1051   0         0.001     1023       9.54      0:01:50   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1053   0         0.001     1023       9.55      0:01:50   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1070   0         0.000     1023       9.69      0:01:50   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1051   0         0.001     1023       9.51      0:01:50   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1052   0         0.001     1023       9.52      0:01:50   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1053   0         0.001     1023       9.55      0:01:50   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1070   0         0.000     1023       9.69      0:01:50   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1051   0         0.001     1023       9.51      0:01:50   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1052   0         0.001     1023       9.52      0:01:50   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1054   0         0.001     1023       9.53      0:01:50   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1071   0         0.000     1023       9.68      0:01:50   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1052   0         0.001     1023       9.51      0:01:50   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1053   0         0.001     1023       9.51      0:01:50   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1054   0         0.001     1023       9.53      0:01:50   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1072   0         0.000     1023       9.68      0:01:50   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1052   0         0.001     1023       9.51      0:01:50   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1053   0         0.001     1023       9.51      0:01:50   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1055   0         0.001     1023       9.53      0:01:50   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1073   0         0.000     1023       9.67      0:01:50   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1053   0         0.001     1023       9.50      0:01:50   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1054   0         0.001     1023       9.51      0:01:50   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1056   0         0.001     1023       9.52      0:01:50   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1073   0         0.000     1023       9.67      0:01:51   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1054   0         0.001     1023       9.50      0:01:51   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1055   0         0.001     1023       9.51      0:01:51   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1056   0         0.001     1023       9.52      0:01:51   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1074   0         0.000     1023       9.66      0:01:51   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1054   0         0.001     1023       9.50      0:01:51   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1055   0         0.001     1023       9.51      0:01:51   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1057   0         0.001     1023       9.51      0:01:51   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1075   0         0.000     1023       9.66      0:01:51   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1055   0         0.001     1023       9.48      0:01:51   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1056   0         0.001     1023       9.49      0:01:51   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1058   0         0.001     1023       9.51      0:01:51   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1075   0         0.000     1023       9.66      0:01:51   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1056   0         0.001     1023       9.48      0:01:51   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1057   0         0.001     1023       9.49      0:01:51   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1059   0         0.001     1023       9.50      0:01:51   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1076   0         0.000     1023       9.65      0:01:51   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1056   0         0.001     1023       9.48      0:01:51   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1057   0         0.001     1023       9.49      0:01:51   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1059   0         0.001     1023       9.50      0:01:51   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1076   0         0.000     1023       9.65      0:01:51   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1057   0         0.001     1023       9.47      0:01:51   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1058   0         0.001     1023       9.48      0:01:51   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1060   0         0.001     1023       9.50      0:01:51   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1077   0         0.000     1023       9.64      0:01:51   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1057   0         0.001     1023       9.47      0:01:51   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1058   0         0.001     1023       9.48      0:01:51   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1060   0         0.001     1023       9.50      0:01:51   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1077   0         0.000     1023       9.64      0:01:52   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1058   0         0.001     1023       9.45      0:01:52   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1059   0         0.001     1023       9.46      0:01:52   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1061   0         0.001     1023       9.48      0:01:52   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1078   0         0.000     1023       9.62      0:01:52   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1059   0         0.001     1023       9.44      0:01:52   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1059   0         0.001     1023       9.46      0:01:52   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1061   0         0.001     1023       9.48      0:01:52   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1079   0         0.000     1023       9.61      0:01:52   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1059   0         0.001     1023       9.44      0:01:52   0:02:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1060   0         0.001     1023       9.45      0:01:52   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1062   0         0.001     1023       9.47      0:01:52   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1080   0         0.000     1023       9.61      0:01:52   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1060   0         0.001     1023       9.44      0:01:52   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1061   0         0.001     1023       9.45      0:01:52   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1063   0         0.001     1023       9.46      0:01:52   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1081   0         0.000     1023       9.61      0:01:52   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1061   0         0.001     1023       9.44      0:01:52   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1062   0         0.001     1023       9.45      0:01:52   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1064   0         0.001     1023       9.46      0:01:52   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1082   0         0.000     1023       9.61      0:01:52   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1062   0         0.001     1023       9.44      0:01:52   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1063   0         0.001     1023       9.44      0:01:52   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1065   0         0.001     1023       9.46      0:01:52   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1082   0         0.000     1023       9.61      0:01:52   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1063   0         0.001     1023       9.43      0:01:52   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1063   0         0.001     1023       9.44      0:01:52   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1066   0         0.001     1023       9.46      0:01:52   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1083   0         0.000     1023       9.60      0:01:52   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1064   0         0.001     1023       9.43      0:01:52   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1065   0         0.001     1023       9.44      0:01:52   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1067   0         0.001     1023       9.46      0:01:52   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1084   0         0.000     1023       9.60      0:01:53   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1065   0         0.001     1023       9.43      0:01:52   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1066   0         0.001     1023       9.44      0:01:52   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1068   0         0.001     1023       9.45      0:01:52   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1085   0         0.000     1023       9.60      0:01:53   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1066   0         0.001     1023       9.43      0:01:53   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1067   0         0.001     1023       9.43      0:01:53   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1069   0         0.001     1023       9.45      0:01:53   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1086   0         0.000     1023       9.60      0:01:53   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1067   0         0.001     1023       9.43      0:01:53   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1068   0         0.001     1023       9.44      0:01:53   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1070   0         0.001     1023       9.45      0:01:53   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1087   0         0.000     1023       9.60      0:01:53   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1068   0         0.001     1023       9.43      0:01:53   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1069   0         0.001     1023       9.44      0:01:53   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1071   0         0.001     1023       9.45      0:01:53   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1088   0         0.000     1023       9.60      0:01:53   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1069   0         0.001     1023       9.43      0:01:53   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1070   0         0.001     1023       9.43      0:01:53   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1072   0         0.001     1023       9.45      0:01:53   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1089   0         0.000     1023       9.60      0:01:53   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1069   0         0.001     1023       9.43      0:01:53   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1070   0         0.001     1023       9.43      0:01:53   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1072   0         0.001     1023       9.45      0:01:53   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1090   0         0.000     1023       9.59      0:01:53   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1070   0         0.001     1023       9.41      0:01:53   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1071   0         0.001     1023       9.43      0:01:53   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1073   0         0.001     1023       9.44      0:01:53   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1092   0         0.000     511        9.59      0:01:53   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1071   0         0.001     1023       9.42      0:01:53   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1073   0         0.001     1023       9.43      0:01:53   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1074   0         0.001     1023       9.44      0:01:53   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1093   0         0.000     1023       9.60      0:01:53   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1073   0         0.001     1023       9.42      0:01:53   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1074   0         0.001     1023       9.43      0:01:53   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1075   0         0.001     1023       9.44      0:01:53   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1094   0         0.000     1023       9.59      0:01:54   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1074   0         0.001     1023       9.42      0:01:54   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1075   0         0.001     1023       9.43      0:01:54   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1076   0         0.001     1023       9.44      0:01:54   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1095   0         0.000     1023       9.59      0:01:54   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1075   0         0.001     1023       9.42      0:01:54   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1076   0         0.001     1023       9.43      0:01:54   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1077   0         0.001     1023       9.44      0:01:54   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1095   0         0.000     1023       9.59      0:01:54   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1075   0         0.001     1023       9.42      0:01:54   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1076   0         0.001     1023       9.43      0:01:54   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1077   0         0.001     1023       9.44      0:01:54   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1096   0         0.000     1023       9.58      0:01:54   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1076   0         0.001     1023       9.41      0:01:54   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1077   0         0.001     1023       9.42      0:01:54   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1078   0         0.001     1023       9.43      0:01:54   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1097   0         0.000     1023       9.58      0:01:54   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1077   0         0.001     1023       9.40      0:01:54   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1078   0         0.001     1023       9.41      0:01:54   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1079   0         0.001     1023       9.43      0:01:54   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1098   0         0.000     1023       9.58      0:01:54   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1078   0         0.001     1023       9.40      0:01:54   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1079   0         0.001     1023       9.41      0:01:54   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1080   0         0.001     1023       9.42      0:01:54   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1099   0         0.000     1023       9.57      0:01:54   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1079   0         0.001     1023       9.40      0:01:54   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1079   0         0.001     1023       9.41      0:01:54   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1081   0         0.001     1023       9.42      0:01:54   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1099   0         0.000     1023       9.57      0:01:54   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1079   0         0.001     1023       9.40      0:01:54   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1080   0         0.001     1023       9.41      0:01:54   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1081   0         0.001     1023       9.42      0:01:54   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1099   0         0.000     1023       9.57      0:01:55   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1079   0         0.001     1023       9.40      0:01:55   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1080   0         0.001     1023       9.41      0:01:55   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1082   0         0.001     1023       9.41      0:01:55   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1100   0         0.000     1023       9.56      0:01:55   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1080   0         0.001     1023       9.38      0:01:55   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1081   0         0.001     1023       9.39      0:01:55   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1082   0         0.001     1023       9.41      0:01:55   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1100   0         0.000     1023       9.56      0:01:55   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1080   0         0.001     1023       9.38      0:01:55   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1081   0         0.001     1023       9.39      0:01:55   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1083   0         0.001     1023       9.39      0:01:55   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1101   0         0.000     1023       9.54      0:01:55   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1081   0         0.001     1023       9.37      0:01:55   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1082   0         0.001     1023       9.38      0:01:55   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1083   0         0.001     1023       9.39      0:01:55   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1102   0         0.000     1023       9.54      0:01:55   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1082   0         0.001     1023       9.36      0:01:55   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1083   0         0.001     1023       9.37      0:01:55   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1084   0         0.001     1023       9.39      0:01:55   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1103   0         0.000     1023       9.53      0:01:55   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1082   0         0.001     1023       9.36      0:01:55   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1083   0         0.001     1023       9.37      0:01:55   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1085   0         0.001     1023       9.38      0:01:55   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1103   0         0.000     1023       9.53      0:01:55   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1083   0         0.001     1023       9.36      0:01:55   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1084   0         0.001     1023       9.36      0:01:55   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1085   0         0.001     1023       9.38      0:01:55   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1104   0         0.000     1023       9.52      0:01:55   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1083   0         0.001     1023       9.36      0:01:55   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1084   0         0.001     1023       9.36      0:01:55   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1086   0         0.001     1023       9.37      0:01:55   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1104   0         0.000     1023       9.52      0:01:56   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1084   0         0.001     1023       9.35      0:01:56   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1085   0         0.001     1023       9.35      0:01:56   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1086   0         0.001     1023       9.37      0:01:56   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1105   0         0.000     1023       9.51      0:01:56   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1085   0         0.001     1023       9.33      0:01:56   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1085   0         0.001     1023       9.35      0:01:56   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1087   0         0.001     1023       9.35      0:01:56   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1106   0         0.000     1023       9.50      0:01:56   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1085   0         0.001     1023       9.33      0:01:56   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1086   0         0.001     1023       9.34      0:01:56   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1088   0         0.001     1023       9.35      0:01:56   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1106   0         0.000     1023       9.50      0:01:56   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1086   0         0.001     1023       9.33      0:01:56   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1087   0         0.001     1023       9.33      0:01:56   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1088   0         0.001     1023       9.35      0:01:56   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1107   0         0.000     1023       9.50      0:01:56   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1087   0         0.001     1023       9.32      0:01:56   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1088   0         0.001     1023       9.33      0:01:56   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1089   0         0.001     1023       9.34      0:01:56   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1107   0         0.000     1023       9.50      0:01:56   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1087   0         0.001     1023       9.32      0:01:56   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1088   0         0.001     1023       9.33      0:01:56   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1089   0         0.001     1023       9.34      0:01:56   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1108   0         0.000     1023       9.49      0:01:56   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1088   0         0.001     1023       9.31      0:01:56   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1089   0         0.001     1023       9.32      0:01:56   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1090   0         0.001     1023       9.33      0:01:56   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1109   0         0.000     1023       9.47      0:01:57   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1088   0         0.001     1023       9.31      0:01:57   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1090   0         0.001     1023       9.31      0:01:57   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1091   0         0.001     1023       9.32      0:01:57   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1110   0         0.000     1023       9.47      0:01:57   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1090   0         0.001     1023       9.30      0:01:57   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1090   0         0.001     1023       9.31      0:01:57   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1092   0         0.001     1023       9.32      0:01:57   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1111   0         0.000     1023       9.47      0:01:57   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1090   0         0.001     1023       9.30      0:01:57   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1091   0         0.001     1023       9.31      0:01:57   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1093   0         0.001     1023       9.32      0:01:57   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1111   0         0.000     1023       9.47      0:01:57   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1091   0         0.001     1023       9.30      0:01:57   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1092   0         0.001     1023       9.31      0:01:57   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1093   0         0.001     1023       9.32      0:01:57   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1112   0         0.000     1023       9.47      0:01:57   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1092   0         0.001     1023       9.30      0:01:57   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1093   0         0.001     1023       9.30      0:01:57   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1094   0         0.001     1023       9.31      0:01:57   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1113   0         0.000     1023       9.46      0:01:57   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1093   0         0.001     1023       9.29      0:01:57   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1094   0         0.001     1023       9.30      0:01:57   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1095   0         0.001     1023       9.31      0:01:57   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1114   0         0.000     1023       9.46      0:01:57   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1094   0         0.001     1023       9.29      0:01:57   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1095   0         0.001     1023       9.30      0:01:57   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1096   0         0.001     1023       9.31      0:01:57   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1115   0         0.000     1023       9.45      0:01:58   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1095   0         0.001     1023       9.28      0:01:58   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1096   0         0.001     1023       9.29      0:01:58   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1097   0         0.001     1023       9.30      0:01:58   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1116   0         0.000     1023       9.45      0:01:58   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1095   0         0.001     1023       9.28      0:01:58   0:02:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1097   0         0.001     1023       9.29      0:01:58   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1098   0         0.001     1023       9.30      0:01:58   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1117   0         0.000     1023       9.45      0:01:58   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1097   0         0.001     1023       9.28      0:01:58   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1098   0         0.001     1023       9.29      0:01:58   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1099   0         0.001     1023       9.30      0:01:58   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1118   0         0.000     1023       9.45      0:01:58   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1097   0         0.001     1023       9.28      0:01:58   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1099   0         0.001     1023       9.29      0:01:58   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1100   0         0.001     1023       9.30      0:01:58   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1119   0         0.000     1023       9.45      0:01:58   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1098   0         0.001     1023       9.28      0:01:58   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1100   0         0.001     1023       9.29      0:01:58   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1100   0         0.001     1023       9.30      0:01:58   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1120   0         0.000     1023       9.45      0:01:58   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1099   0         0.001     1023       9.27      0:01:58   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1100   0         0.001     1023       9.29      0:01:58   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1101   0         0.001     1023       9.29      0:01:58   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1121   0         0.000     639        9.45      0:01:58   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1100   0         0.001     1023       9.27      0:01:58   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1101   0         0.001     1023       9.28      0:01:58   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1102   0         0.001     1023       9.29      0:01:58   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1122   0         0.000     1023       9.44      0:01:58   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1101   0         0.001     1023       9.26      0:01:58   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1102   0         0.001     1023       9.28      0:01:58   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1103   0         0.001     1023       9.28      0:01:58   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1123   0         0.000     1023       9.43      0:01:59   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1102   0         0.001     1023       9.26      0:01:59   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1103   0         0.001     1023       9.27      0:01:59   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1104   0         0.001     1023       9.28      0:01:59   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1124   0         0.000     1023       9.43      0:01:59   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1103   0         0.001     1023       9.26      0:01:59   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1104   0         0.001     1023       9.26      0:01:59   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1105   0         0.001     1023       9.28      0:01:59   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1125   0         0.000     1023       9.43      0:01:59   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1104   0         0.001     1023       9.26      0:01:59   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1105   0         0.001     1023       9.26      0:01:59   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1106   0         0.001     1023       9.28      0:01:59   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1126   0         0.000     1023       9.43      0:01:59   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1105   0         0.001     1023       9.26      0:01:59   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1106   0         0.001     1023       9.26      0:01:59   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1107   0         0.001     1023       9.28      0:01:59   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1127   0         0.000     1023       9.43      0:01:59   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1106   0         0.001     1023       9.26      0:01:59   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1107   0         0.001     1023       9.26      0:01:59   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1108   0         0.001     1023       9.27      0:01:59   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1127   0         0.000     1023       9.43      0:01:59   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1106   0         0.001     1023       9.26      0:01:59   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1107   0         0.001     1023       9.26      0:01:59   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1108   0         0.001     1023       9.27      0:01:59   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1128   0         0.000     1023       9.42      0:01:59   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1107   0         0.001     1023       9.25      0:01:59   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1108   0         0.001     1023       9.25      0:01:59   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1109   0         0.001     1023       9.26      0:01:59   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1129   0         0.000     1023       9.42      0:01:59   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1108   0         0.001     1023       9.24      0:01:59   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1109   0         0.001     1023       9.25      0:01:59   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1110   0         0.001     1023       9.26      0:01:59   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1130   0         0.000     1023       9.41      0:02:00   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1109   0         0.001     1023       9.24      0:02:00   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1110   0         0.001     1023       9.25      0:02:00   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1111   0         0.001     1023       9.26      0:02:00   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1131   0         0.000     1023       9.41      0:02:00   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1110   0         0.001     1023       9.24      0:02:00   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1111   0         0.001     1023       9.25      0:02:00   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1112   0         0.001     1023       9.26      0:02:00   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1131   0         0.000     1023       9.41      0:02:00   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1111   0         0.001     1023       9.24      0:02:00   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1112   0         0.001     1023       9.25      0:02:00   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1113   0         0.001     1023       9.26      0:02:00   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1132   0         0.000     1023       9.41      0:02:00   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1111   0         0.001     1023       9.24      0:02:00   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1112   0         0.001     1023       9.25      0:02:00   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1113   0         0.001     1023       9.26      0:02:00   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1133   0         0.000     1023       9.41      0:02:00   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1112   0         0.001     1023       9.24      0:02:00   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1113   0         0.001     1023       9.25      0:02:00   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1114   0         0.001     1023       9.25      0:02:00   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1134   0         0.000     1023       9.40      0:02:00   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1113   0         0.001     1023       9.23      0:02:00   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1114   0         0.001     1023       9.24      0:02:00   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1115   0         0.001     1023       9.24      0:02:00   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1135   0         0.000     1023       9.40      0:02:00   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1114   0         0.001     1023       9.22      0:02:00   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1115   0         0.001     1023       9.23      0:02:00   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1116   0         0.001     1023       9.24      0:02:00   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1135   0         0.000     1023       9.40      0:02:00   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1114   0         0.001     1023       9.22      0:02:00   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1115   0         0.001     1023       9.23      0:02:00   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1116   0         0.001     1023       9.24      0:02:00   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1136   0         0.000     1023       9.39      0:02:01   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1115   0         0.001     1023       9.22      0:02:01   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1116   0         0.001     1023       9.23      0:02:01   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1117   0         0.001     1023       9.24      0:02:01   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1137   0         0.000     1023       9.39      0:02:01   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1116   0         0.001     1023       9.21      0:02:01   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1117   0         0.001     1023       9.22      0:02:01   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1118   0         0.001     1023       9.23      0:02:01   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1138   0         0.000     1023       9.38      0:02:01   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1117   0         0.001     1023       9.21      0:02:01   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1118   0         0.001     1023       9.22      0:02:01   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1119   0         0.001     1023       9.23      0:02:01   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1138   0         0.000     1023       9.38      0:02:01   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1117   0         0.001     1023       9.21      0:02:01   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1118   0         0.001     1023       9.22      0:02:01   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1119   0         0.001     1023       9.23      0:02:01   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1138   0         0.000     1023       9.38      0:02:01   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1117   0         0.001     1023       9.21      0:02:01   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1118   0         0.001     1023       9.22      0:02:01   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1119   0         0.001     1023       9.23      0:02:01   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1139   0         0.000     1023       9.36      0:02:01   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1118   0         0.001     1023       9.19      0:02:01   0:02:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1119   0         0.001     1023       9.20      0:02:01   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1120   0         0.001     1023       9.21      0:02:01   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1140   0         0.000     1023       9.36      0:02:01   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1119   0         0.001     1023       9.19      0:02:01   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1119   0         0.001     1023       9.20      0:02:01   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1121   0         0.001     1023       9.21      0:02:01   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1141   0         0.000     1023       9.36      0:02:01   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1120   0         0.001     1023       9.19      0:02:01   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1121   0         0.001     1023       9.20      0:02:01   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1122   0         0.001     1023       9.21      0:02:01   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1141   0         0.000     1023       9.36      0:02:02   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1120   0         0.001     1023       9.19      0:02:02   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1121   0         0.001     1023       9.20      0:02:02   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1123   0         0.001     1023       9.21      0:02:02   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1142   0         0.000     1023       9.36      0:02:02   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1121   0         0.001     1023       9.19      0:02:02   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1122   0         0.001     1023       9.19      0:02:02   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1124   0         0.001     1023       9.20      0:02:02   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1143   0         0.000     1023       9.36      0:02:02   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1122   0         0.001     1023       9.18      0:02:02   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1123   0         0.001     1023       9.19      0:02:02   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1125   0         0.001     1023       9.20      0:02:02   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1144   0         0.000     1023       9.36      0:02:02   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1123   0         0.001     1023       9.18      0:02:02   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1124   0         0.001     1023       9.19      0:02:02   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1125   0         0.001     1023       9.20      0:02:02   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1145   0         0.000     1023       9.35      0:02:02   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1124   0         0.001     1023       9.18      0:02:02   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1125   0         0.001     1023       9.19      0:02:02   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1126   0         0.001     1023       9.20      0:02:02   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1146   0         0.000     1023       9.35      0:02:02   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1125   0         0.001     1023       9.18      0:02:02   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1126   0         0.001     1023       9.19      0:02:02   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1127   0         0.001     1023       9.20      0:02:02   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1147   0         0.000     1023       9.35      0:02:02   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1126   0         0.001     1023       9.18      0:02:02   0:02:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1127   0         0.001     1023       9.19      0:02:02   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1128   0         0.001     1023       9.20      0:02:02   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1149   0         0.000     1023       9.35      0:02:02   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1128   0         0.001     1023       9.18      0:02:02   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1129   0         0.001     1023       9.19      0:02:02   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1130   0         0.001     1023       9.20      0:02:02   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1150   0         0.000     1023       9.35      0:02:02   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1129   0         0.001     1023       9.18      0:02:02   0:02:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1130   0         0.001     1023       9.19      0:02:02   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1131   0         0.001     1023       9.20      0:02:02   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1151   0         0.000     1023       9.35      0:02:03   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1130   0         0.001     1023       9.18      0:02:03   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1131   0         0.001     1023       9.19      0:02:03   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1132   0         0.001     1023       9.20      0:02:03   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1152   0         0.000     1023       9.35      0:02:03   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1131   0         0.001     1023       9.18      0:02:03   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1132   0         0.001     1023       9.19      0:02:03   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1133   0         0.001     1023       9.20      0:02:03   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1152   0         0.000     1023       9.35      0:02:03   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1131   0         0.001     1023       9.18      0:02:03   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1132   0         0.001     1023       9.19      0:02:03   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1133   0         0.001     1023       9.20      0:02:03   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1153   0         0.000     1023       9.35      0:02:03   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1132   0         0.001     1023       9.18      0:02:03   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1134   0         0.001     1023       9.19      0:02:03   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1134   0         0.001     1023       9.19      0:02:03   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1154   0         0.000     1023       9.35      0:02:03   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1133   0         0.001     1023       9.18      0:02:03   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1135   0         0.001     1023       9.19      0:02:03   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1135   0         0.001     1023       9.20      0:02:03   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1155   0         0.000     1023       9.35      0:02:03   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1135   0         0.001     1023       9.18      0:02:03   0:02:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1136   0         0.001     1023       9.19      0:02:03   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1137   0         0.001     1023       9.20      0:02:03   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1156   0         0.000     1023       9.35      0:02:03   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1136   0         0.001     1023       9.18      0:02:03   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1137   0         0.001     1023       9.19      0:02:03   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1138   0         0.001     1023       9.20      0:02:03   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1158   0         0.000     1023       9.35      0:02:03   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1137   0         0.001     1023       9.18      0:02:03   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1138   0         0.001     1023       9.19      0:02:03   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1139   0         0.001     1023       9.20      0:02:03   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1159   0         0.000     1023       9.35      0:02:03   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1138   0         0.001     1023       9.18      0:02:03   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1139   0         0.001     1023       9.19      0:02:03   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1140   0         0.001     1023       9.20      0:02:03   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1160   0         0.000     1023       9.35      0:02:04   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1139   0         0.001     1023       9.18      0:02:04   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1140   0         0.001     1023       9.19      0:02:04   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1141   0         0.001     1023       9.20      0:02:04   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1160   0         0.000     1023       9.35      0:02:04   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1139   0         0.001     1023       9.18      0:02:04   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1141   0         0.001     1023       9.19      0:02:04   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1141   0         0.001     1023       9.20      0:02:04   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1161   0         0.000     1023       9.34      0:02:04   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1140   0         0.001     1023       9.18      0:02:04   0:02:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1142   0         0.001     1023       9.19      0:02:04   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1142   0         0.001     1023       9.19      0:02:04   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1162   0         0.000     1023       9.34      0:02:04   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m   1142   0         0.001     1023       9.18      0:02:04   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1143   0         0.001     1023       9.19      0:02:04   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1143   0         0.001     1023       9.19      0:02:04   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1163   0         0.000     1023       9.34      0:02:04   0:02:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1143   0         0.001     1023       9.18      0:02:04   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1144   0         0.001     1023       9.19      0:02:04   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1144   0         0.001     1023       9.19      0:02:04   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1164   0         0.000     1023       9.34      0:02:04   0:02:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1144   0         0.001     1023       9.18      0:02:04   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1145   0         0.001     1023       9.19      0:02:04   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1146   0         0.001     1023       9.20      0:02:04   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1166   0         0.000     1023       9.35      0:02:04   0:02:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1145   0         0.001     1023       9.18      0:02:04   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1146   0         0.001     1023       9.19      0:02:04   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1147   0         0.001     1023       9.20      0:02:04   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1167   0         0.000     1023       9.35      0:02:04   0:02:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1146   0         0.001     1023       9.18      0:02:04   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1148   0         0.001     1023       9.19      0:02:04   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1148   0         0.001     1023       9.20      0:02:04   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1168   0         0.000     1023       9.35      0:02:05   0:01:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1147   0         0.001     1023       9.18      0:02:05   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1149   0         0.001     1023       9.20      0:02:05   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1149   0         0.001     1023       9.20      0:02:05   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1169   0         0.000     1023       9.34      0:02:05   0:02:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1148   0         0.001     1023       9.18      0:02:05   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1149   0         0.001     1023       9.20      0:02:05   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1150   0         0.001     1023       9.19      0:02:05   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1170   0         0.000     1023       9.34      0:02:05   0:01:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1149   0         0.001     1023       9.18      0:02:05   0:02:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1150   0         0.001     1023       9.19      0:02:05   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1151   0         0.001     1023       9.19      0:02:05   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1171   0         0.000     1023       9.34      0:02:05   0:01:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1150   0         0.001     1023       9.18      0:02:05   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1151   0         0.001     1023       9.19      0:02:05   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1152   0         0.001     1023       9.19      0:02:05   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1172   0         0.000     1023       9.34      0:02:05   0:01:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1152   0         0.001     1023       9.18      0:02:05   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1153   0         0.001     1023       9.19      0:02:05   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1153   0         0.001     1023       9.19      0:02:05   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1173   0         0.000     1023       9.34      0:02:05   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1153   0         0.001     1023       9.18      0:02:05   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1154   0         0.001     1023       9.19      0:02:05   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1154   0         0.001     1023       9.19      0:02:05   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1175   0         0.000     1023       9.35      0:02:05   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1154   0         0.001     1023       9.18      0:02:05   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1155   0         0.001     1023       9.19      0:02:05   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1155   0         0.001     1023       9.19      0:02:05   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1175   0         0.000     1023       9.35      0:02:05   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1155   0         0.001     1023       9.18      0:02:05   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1156   0         0.001     1023       9.19      0:02:05   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1156   0         0.001     1023       9.19      0:02:05   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1176   0         0.000     1023       9.34      0:02:05   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1155   0         0.001     1023       9.18      0:02:05   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1156   0         0.001     1023       9.19      0:02:05   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1156   0         0.001     1023       9.19      0:02:05   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1176   0         0.000     1023       9.34      0:02:06   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1156   0         0.001     1023       9.17      0:02:06   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1157   0         0.001     1023       9.18      0:02:06   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1157   0         0.001     1023       9.18      0:02:06   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1178   0         0.000     1023       9.33      0:02:06   0:01:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1157   0         0.001     1023       9.17      0:02:06   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1158   0         0.001     1023       9.18      0:02:06   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1158   0         0.001     1023       9.18      0:02:06   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1178   0         0.000     1023       9.33      0:02:06   0:01:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1158   0         0.001     1023       9.17      0:02:06   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1159   0         0.001     1023       9.18      0:02:06   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1159   0         0.001     1023       9.18      0:02:06   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1179   0         0.000     1023       9.33      0:02:06   0:01:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1159   0         0.001     1023       9.17      0:02:06   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1160   0         0.001     1023       9.18      0:02:06   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1160   0         0.001     1023       9.18      0:02:06   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1180   0         0.000     1023       9.33      0:02:06   0:01:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1160   0         0.001     1023       9.16      0:02:06   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1161   0         0.001     1023       9.18      0:02:06   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1161   0         0.001     1023       9.18      0:02:06   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1181   0         0.000     1023       9.33      0:02:06   0:01:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1160   0         0.001     1023       9.16      0:02:06   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1162   0         0.001     1023       9.17      0:02:06   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1162   0         0.001     1023       9.18      0:02:06   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1182   0         0.000     1023       9.33      0:02:06   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1161   0         0.001     1023       9.16      0:02:06   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1162   0         0.001     1023       9.17      0:02:06   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1162   0         0.001     1023       9.18      0:02:06   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1183   0         0.000     1023       9.32      0:02:06   0:01:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1162   0         0.001     1023       9.15      0:02:06   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1163   0         0.001     1023       9.17      0:02:06   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1163   0         0.001     1023       9.17      0:02:06   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1183   0         0.000     1023       9.32      0:02:07   0:01:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1162   0         0.001     1023       9.15      0:02:07   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1163   0         0.001     1023       9.17      0:02:07   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1164   0         0.001     1023       9.16      0:02:07   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1183   0         0.000     1023       9.32      0:02:07   0:01:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1163   0         0.001     1023       9.15      0:02:07   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1164   0         0.001     1023       9.15      0:02:07   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1164   0         0.001     1023       9.16      0:02:07   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1184   0         0.000     1023       9.30      0:02:07   0:02:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1164   0         0.001     1023       9.14      0:02:07   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1165   0         0.001     1023       9.15      0:02:07   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1165   0         0.001     1023       9.15      0:02:07   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1185   0         0.000     1023       9.30      0:02:07   0:02:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1165   0         0.001     1023       9.14      0:02:07   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1166   0         0.001     1023       9.15      0:02:07   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1166   0         0.001     1023       9.15      0:02:07   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1186   0         0.000     1023       9.30      0:02:07   0:01:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1166   0         0.001     1023       9.14      0:02:07   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1167   0         0.001     1023       9.15      0:02:07   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1167   0         0.001     1023       9.15      0:02:07   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1187   0         0.000     1023       9.30      0:02:07   0:01:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1167   0         0.001     1023       9.14      0:02:07   0:02:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1168   0         0.001     1023       9.15      0:02:07   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1168   0         0.001     1023       9.15      0:02:07   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1188   0         0.000     1023       9.30      0:02:07   0:01:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1168   0         0.001     1023       9.14      0:02:07   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1168   0         0.001     1023       9.15      0:02:07   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1169   0         0.001     1023       9.15      0:02:07   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1189   0         0.000     1023       9.29      0:02:08   0:01:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1169   0         0.001     1023       9.13      0:02:08   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1169   0         0.001     1023       9.14      0:02:07   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1170   0         0.001     1023       9.14      0:02:07   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1190   0         0.000     1023       9.29      0:02:08   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1170   0         0.001     1023       9.13      0:02:08   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1170   0         0.001     1023       9.14      0:02:08   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1171   0         0.001     1023       9.14      0:02:08   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1191   0         0.000     1023       9.29      0:02:08   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1171   0         0.001     1023       9.14      0:02:08   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1171   0         0.001     1023       9.14      0:02:08   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1172   0         0.001     1023       9.14      0:02:08   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1192   0         0.000     1023       9.29      0:02:08   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1172   0         0.001     1023       9.14      0:02:08   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1172   0         0.001     1023       9.14      0:02:08   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1173   0         0.001     1023       9.14      0:02:08   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1193   0         0.000     1023       9.29      0:02:08   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1173   0         0.001     1023       9.13      0:02:08   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1173   0         0.001     1023       9.14      0:02:08   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1174   0         0.001     1023       9.14      0:02:08   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1194   0         0.000     1023       9.29      0:02:08   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1174   0         0.001     1023       9.13      0:02:08   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1174   0         0.001     1023       9.14      0:02:08   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1174   0         0.001     1023       9.14      0:02:08   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1195   0         0.000     1023       9.29      0:02:08   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1174   0         0.001     1023       9.13      0:02:08   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1175   0         0.001     1023       9.13      0:02:08   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1175   0         0.001     1023       9.14      0:02:08   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1195   0         0.000     1023       9.29      0:02:08   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1175   0         0.001     1023       9.13      0:02:08   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1175   0         0.001     1023       9.13      0:02:08   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1176   0         0.001     1023       9.13      0:02:08   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1196   0         0.000     1023       9.28      0:02:09   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1176   0         0.001     1023       9.12      0:02:09   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1176   0         0.001     1023       9.12      0:02:09   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1176   0         0.001     1023       9.13      0:02:09   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1197   0         0.000     1023       9.27      0:02:09   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1177   0         0.001     1023       9.11      0:02:09   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1177   0         0.001     1023       9.12      0:02:09   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1177   0         0.001     1023       9.12      0:02:09   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1198   0         0.000     1023       9.27      0:02:09   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1177   0         0.001     1023       9.11      0:02:09   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1178   0         0.001     1023       9.12      0:02:09   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1178   0         0.001     1023       9.12      0:02:09   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1199   0         0.000     1023       9.27      0:02:09   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1178   0         0.001     1023       9.11      0:02:09   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1179   0         0.001     1023       9.12      0:02:09   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1179   0         0.001     1023       9.12      0:02:09   0:02:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1200   0         0.000     1023       9.27      0:02:09   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1179   0         0.001     1023       9.11      0:02:09   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1180   0         0.001     1023       9.12      0:02:09   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1180   0         0.001     1023       9.12      0:02:09   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1201   0         0.000     1023       9.27      0:02:09   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1180   0         0.001     1023       9.11      0:02:09   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1181   0         0.001     1023       9.12      0:02:09   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1181   0         0.001     1023       9.12      0:02:09   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1202   0         0.000     1023       9.27      0:02:09   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1181   0         0.001     1023       9.11      0:02:09   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1182   0         0.001     1023       9.11      0:02:09   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1182   0         0.001     1023       9.12      0:02:09   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1202   0         0.000     1023       9.27      0:02:09   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1181   0         0.001     1023       9.11      0:02:09   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1182   0         0.001     1023       9.11      0:02:09   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1182   0         0.001     1023       9.12      0:02:09   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1203   0         0.000     1023       9.26      0:02:09   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1182   0         0.001     1023       9.10      0:02:09   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1183   0         0.001     1023       9.11      0:02:09   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1183   0         0.001     1023       9.11      0:02:09   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1204   0         0.000     1023       9.26      0:02:10   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1183   0         0.001     1023       9.10      0:02:10   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1184   0         0.001     1023       9.10      0:02:10   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1184   0         0.001     1023       9.11      0:02:10   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1205   0         0.000     1023       9.26      0:02:10   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1184   0         0.001     1023       9.10      0:02:10   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1185   0         0.001     1023       9.10      0:02:10   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1185   0         0.001     1023       9.11      0:02:10   0:02:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1206   0         0.000     1023       9.26      0:02:10   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1185   0         0.001     1023       9.10      0:02:10   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1186   0         0.001     1023       9.10      0:02:10   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1186   0         0.001     1023       9.11      0:02:10   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1207   0         0.000     1023       9.26      0:02:10   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1186   0         0.001     1023       9.10      0:02:10   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1187   0         0.001     1023       9.11      0:02:10   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1187   0         0.001     1023       9.11      0:02:10   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1208   0         0.000     1023       9.26      0:02:10   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1187   0         0.001     1023       9.10      0:02:10   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1188   0         0.001     1023       9.10      0:02:10   0:02:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1188   0         0.001     1023       9.11      0:02:10   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1209   0         0.000     1023       9.26      0:02:10   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1188   0         0.001     1023       9.10      0:02:10   0:02:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1189   0         0.001     1023       9.10      0:02:10   0:02:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1189   0         0.001     1023       9.11      0:02:10   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1210   0         0.000     1023       9.25      0:02:10   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1189   0         0.001     1023       9.10      0:02:10   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1189   0         0.001     1023       9.10      0:02:10   0:02:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1190   0         0.001     1023       9.10      0:02:10   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1210   0         0.000     1023       9.25      0:02:10   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1189   0         0.001     1023       9.10      0:02:10   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1190   0         0.001     1023       9.10      0:02:10   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1190   0         0.001     1023       9.10      0:02:10   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1211   0         0.000     1023       9.24      0:02:11   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1190   0         0.001     1023       9.09      0:02:11   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1191   0         0.001     1023       9.09      0:02:11   0:02:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1191   0         0.001     1023       9.09      0:02:11   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1212   0         0.000     1023       9.24      0:02:11   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1191   0         0.001     1023       9.08      0:02:11   0:02:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1192   0         0.001     1023       9.09      0:02:11   0:02:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1192   0         0.001     1023       9.09      0:02:11   0:02:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1213   0         0.000     1023       9.24      0:02:11   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1192   0         0.001     1023       9.08      0:02:11   0:02:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1193   0         0.001     1023       9.09      0:02:11   0:02:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1193   0         0.001     1023       9.09      0:02:11   0:02:00   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1214   0         0.000     1023       9.24      0:02:11   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1193   0         0.001     1023       9.09      0:02:11   0:02:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1194   0         0.001     1023       9.09      0:02:11   0:01:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1194   0         0.001     1023       9.09      0:02:11   0:02:00   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1215   0         0.000     1023       9.24      0:02:11   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1194   0         0.001     1023       9.09      0:02:11   0:01:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1195   0         0.001     1023       9.09      0:02:11   0:01:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1195   0         0.001     1023       9.09      0:02:11   0:02:00   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1216   0         0.000     1023       9.24      0:02:11   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1195   0         0.001     1023       9.09      0:02:11   0:01:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1196   0         0.001     1023       9.09      0:02:11   0:01:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1196   0         0.001     1023       9.09      0:02:11   0:02:00   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1217   0         0.000     1023       9.24      0:02:11   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1196   0         0.001     1023       9.08      0:02:11   0:01:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1197   0         0.001     1023       9.09      0:02:11   0:01:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1197   0         0.001     1023       9.09      0:02:11   0:02:00   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1217   0         0.000     1023       9.24      0:02:11   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1197   0         0.001     1023       9.07      0:02:11   0:01:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1197   0         0.001     1023       9.09      0:02:11   0:01:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1197   0         0.001     1023       9.09      0:02:11   0:02:00   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1218   0         0.000     1023       9.23      0:02:12   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1197   0         0.001     1023       9.07      0:02:12   0:01:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1198   0         0.001     1023       9.08      0:02:12   0:01:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1198   0         0.001     1023       9.08      0:02:12   0:02:00   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1219   0         0.000     1023       9.23      0:02:12   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1198   0         0.001     1023       9.07      0:02:12   0:01:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1199   0         0.001     1023       9.08      0:02:12   0:01:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1199   0         0.001     1023       9.08      0:02:12   0:01:59   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1220   0         0.000     1023       9.23      0:02:12   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1199   0         0.001     1023       9.07      0:02:12   0:01:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1200   0         0.001     1023       9.08      0:02:12   0:01:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1200   0         0.001     1023       9.08      0:02:12   0:01:59   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1221   0         0.000     1023       9.23      0:02:12   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1200   0         0.001     1023       9.07      0:02:12   0:01:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1201   0         0.001     1023       9.07      0:02:12   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1201   0         0.001     1023       9.08      0:02:12   0:01:59   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1222   0         0.000     1023       9.23      0:02:12   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1201   0         0.001     1023       9.07      0:02:12   0:01:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1202   0         0.001     1023       9.07      0:02:12   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1202   0         0.001     1023       9.08      0:02:12   0:01:59   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1223   0         0.000     1023       9.23      0:02:12   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1202   0         0.001     1023       9.07      0:02:12   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1202   0         0.001     1023       9.07      0:02:12   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1203   0         0.001     1023       9.08      0:02:12   0:01:59   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1223   0         0.000     1023       9.23      0:02:12   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1202   0         0.001     1023       9.07      0:02:12   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1203   0         0.001     1023       9.07      0:02:12   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1203   0         0.001     1023       9.08      0:02:12   0:01:59   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1224   0         0.000     1023       9.21      0:02:12   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1203   0         0.001     1023       9.06      0:02:12   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1203   0         0.001     1023       9.07      0:02:12   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1204   0         0.001     1023       9.06      0:02:12   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1224   0         0.000     1023       9.21      0:02:12   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1203   0         0.001     1023       9.06      0:02:12   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1204   0         0.001     1023       9.06      0:02:12   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1204   0         0.001     1023       9.06      0:02:12   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1225   0         0.000     1023       9.21      0:02:13   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1204   0         0.001     1023       9.05      0:02:13   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1205   0         0.001     1023       9.06      0:02:13   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1205   0         0.001     1023       9.06      0:02:13   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1226   0         0.000     1023       9.21      0:02:13   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1205   0         0.001     1023       9.05      0:02:13   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1206   0         0.001     1023       9.06      0:02:13   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1206   0         0.001     1023       9.06      0:02:13   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1227   0         0.000     1023       9.21      0:02:13   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1206   0         0.001     1023       9.05      0:02:13   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1207   0         0.001     1023       9.05      0:02:13   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1207   0         0.001     1023       9.06      0:02:13   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1228   0         0.000     1023       9.21      0:02:13   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1207   0         0.001     1023       9.05      0:02:13   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1207   0         0.001     1023       9.05      0:02:13   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1208   0         0.001     1023       9.06      0:02:13   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1229   0         0.000     1023       9.20      0:02:13   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1208   0         0.001     1023       9.05      0:02:13   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1208   0         0.001     1023       9.05      0:02:13   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1209   0         0.001     1023       9.06      0:02:13   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1230   0         0.000     1023       9.20      0:02:13   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1209   0         0.001     1023       9.05      0:02:13   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1209   0         0.001     1023       9.05      0:02:13   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1210   0         0.001     1023       9.05      0:02:13   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1230   0         0.000     1023       9.20      0:02:13   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1209   0         0.001     1023       9.05      0:02:13   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1210   0         0.001     1023       9.04      0:02:13   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1210   0         0.001     1023       9.05      0:02:13   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1231   0         0.000     1023       9.20      0:02:13   0:01:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1210   0         0.001     1023       9.04      0:02:13   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1211   0         0.001     1023       9.04      0:02:13   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1211   0         0.001     1023       9.05      0:02:13   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1232   0         0.000     1023       9.19      0:02:14   0:01:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1210   0         0.001     1023       9.04      0:02:14   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1211   0         0.001     1023       9.04      0:02:14   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1211   0         0.001     1023       9.05      0:02:14   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1233   0         0.000     1023       9.19      0:02:14   0:01:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1211   0         0.001     1023       9.03      0:02:14   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1212   0         0.001     1023       9.03      0:02:14   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1212   0         0.001     1023       9.04      0:02:14   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1233   0         0.000     1023       9.19      0:02:14   0:01:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1212   0         0.001     1023       9.03      0:02:14   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1213   0         0.001     1023       9.03      0:02:14   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1213   0         0.001     1023       9.04      0:02:14   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1234   0         0.000     1023       9.18      0:02:14   0:01:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1213   0         0.001     1023       9.03      0:02:14   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1214   0         0.001     1023       9.03      0:02:14   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1214   0         0.001     1023       9.03      0:02:14   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1235   0         0.000     1023       9.18      0:02:14   0:01:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1214   0         0.001     1023       9.03      0:02:14   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1214   0         0.001     1023       9.03      0:02:14   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1215   0         0.001     1023       9.03      0:02:14   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1236   0         0.000     1023       9.18      0:02:14   0:01:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1215   0         0.001     1023       9.03      0:02:14   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1215   0         0.001     1023       9.03      0:02:14   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1216   0         0.001     1023       9.03      0:02:14   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1237   0         0.000     1023       9.18      0:02:14   0:01:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1216   0         0.001     1023       9.02      0:02:14   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1216   0         0.001     1023       9.03      0:02:14   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1217   0         0.001     1023       9.03      0:02:14   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1238   0         0.000     1023       9.18      0:02:14   0:01:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1217   0         0.001     1023       9.02      0:02:14   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1217   0         0.001     1023       9.02      0:02:14   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1217   0         0.001     1023       9.03      0:02:14   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1238   0         0.000     1023       9.18      0:02:15   0:01:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1217   0         0.001     1023       9.02      0:02:15   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1217   0         0.001     1023       9.02      0:02:15   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1218   0         0.001     1023       9.03      0:02:15   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1239   0         0.000     1023       9.17      0:02:15   0:01:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1218   0         0.001     1023       9.01      0:02:15   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1218   0         0.001     1023       9.01      0:02:15   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1219   0         0.001     1023       9.02      0:02:15   0:01:58   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1240   0         0.000     1023       9.17      0:02:15   0:01:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1219   0         0.001     1023       9.01      0:02:15   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1219   0         0.001     1023       9.01      0:02:15   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1220   0         0.001     1023       9.02      0:02:15   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1241   0         0.000     1023       9.17      0:02:15   0:01:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1220   0         0.001     1023       9.01      0:02:15   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1220   0         0.001     1023       9.01      0:02:15   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1221   0         0.001     1023       9.02      0:02:15   0:01:57   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1242   0         0.000     1023       9.16      0:02:15   0:01:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1221   0         0.001     1023       9.01      0:02:15   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1221   0         0.001     1023       9.01      0:02:15   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1222   0         0.001     1023       9.02      0:02:15   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1243   0         0.000     1023       9.16      0:02:15   0:01:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1222   0         0.001     1023       9.01      0:02:15   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1222   0         0.001     1023       9.01      0:02:15   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1223   0         0.001     1023       9.02      0:02:15   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1244   0         0.000     1023       9.16      0:02:15   0:01:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1222   0         0.001     1023       9.01      0:02:15   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1223   0         0.001     1023       9.01      0:02:15   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1224   0         0.001     1023       9.02      0:02:15   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1245   0         0.000     1023       9.16      0:02:15   0:01:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1223   0         0.001     1023       9.01      0:02:15   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1224   0         0.001     1023       9.01      0:02:15   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1225   0         0.001     1023       9.01      0:02:15   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1245   0         0.000     1023       9.16      0:02:16   0:01:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1224   0         0.001     1023       9.00      0:02:16   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1225   0         0.001     1023       9.01      0:02:16   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1225   0         0.001     1023       9.01      0:02:16   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1248   2         0.000     541        9.16      0:02:16   0:01:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1225   0         0.001     1023       9.00      0:02:16   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1225   0         0.001     1023       9.01      0:02:16   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1226   0         0.001     1023       9.01      0:02:16   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1248   2         0.000     541        9.16      0:02:16   0:01:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1226   0         0.001     1023       9.00      0:02:16   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1226   0         0.001     1023       9.00      0:02:16   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1227   0         0.001     1023       9.01      0:02:16   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1250   3         0.000     445        9.17      0:02:16   0:01:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1227   0         0.001     1023       9.00      0:02:16   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1227   0         0.001     1023       9.00      0:02:16   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1228   0         0.001     1023       9.01      0:02:16   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1251   3         0.000     1023       9.16      0:02:16   0:01:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1228   0         0.001     1023       9.00      0:02:16   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1228   0         0.001     1023       9.00      0:02:16   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1229   0         0.001     1023       9.01      0:02:16   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1252   3         0.000     1023       9.16      0:02:16   0:01:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1229   0         0.001     1023       9.00      0:02:16   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1229   0         0.001     1023       9.00      0:02:16   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1230   0         0.001     1023       9.01      0:02:16   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1253   3         0.000     1023       9.17      0:02:16   0:01:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1230   0         0.001     1023       9.00      0:02:16   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1230   0         0.001     1023       9.00      0:02:16   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1231   0         0.001     1023       9.01      0:02:16   0:01:56   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1254   3         0.000     1023       9.17      0:02:16   0:01:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1231   0         0.001     1023       9.00      0:02:16   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1231   0         0.001     1023       9.00      0:02:16   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1232   0         0.001     1023       9.01      0:02:16   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1255   3         0.000     1023       9.17      0:02:16   0:01:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1232   0         0.001     1023       9.00      0:02:16   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1232   0         0.001     1023       9.00      0:02:16   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1233   0         0.001     1023       9.01      0:02:16   0:01:55   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1256   3         0.000     1023       9.16      0:02:17   0:01:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1232   0         0.001     1023       9.00      0:02:17   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1233   0         0.001     1023       9.00      0:02:17   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1234   0         0.001     1023       9.01      0:02:17   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1257   3         0.000     1023       9.16      0:02:17   0:01:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1233   0         0.001     1023       8.99      0:02:17   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1234   0         0.001     1023       8.99      0:02:17   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1235   0         0.001     1023       9.00      0:02:17   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1258   3         0.000     1023       9.16      0:02:17   0:01:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1235   0         0.001     1023       8.99      0:02:17   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1235   0         0.001     1023       8.99      0:02:17   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1236   0         0.001     1023       9.00      0:02:17   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1259   3         0.000     1023       9.16      0:02:17   0:01:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1236   0         0.001     1023       8.99      0:02:17   0:01:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1236   0         0.001     1023       8.99      0:02:17   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1237   0         0.001     1023       9.00      0:02:17   0:01:54   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1260   3         0.000     1023       9.16      0:02:17   0:01:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1237   0         0.001     1023       8.99      0:02:17   0:01:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1237   0         0.001     1023       9.00      0:02:17   0:01:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1239   0         0.001     1023       9.01      0:02:17   0:01:53   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1261   3         0.000     1023       9.16      0:02:17   0:01:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1238   0         0.001     1023       9.00      0:02:17   0:01:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1238   0         0.001     1023       9.00      0:02:17   0:01:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1240   0         0.001     1023       9.01      0:02:17   0:01:53   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1263   3         0.000     1023       9.17      0:02:17   0:01:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1239   0         0.001     1023       9.00      0:02:17   0:01:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1240   0         0.001     1023       9.00      0:02:17   0:01:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1241   0         0.001     1023       9.01      0:02:17   0:01:52   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1264   3         0.000     1023       9.17      0:02:17   0:01:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1240   0         0.001     1023       9.00      0:02:17   0:01:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1241   0         0.001     1023       9.00      0:02:17   0:01:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1242   0         0.001     1023       9.01      0:02:17   0:01:52   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1265   3         0.000     1023       9.17      0:02:18   0:01:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1241   0         0.001     1023       9.00      0:02:18   0:01:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1242   0         0.001     1023       9.00      0:02:18   0:01:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1243   0         0.001     1023       9.01      0:02:18   0:01:52   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1266   3         0.000     1023       9.16      0:02:18   0:01:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1242   0         0.001     1023       8.99      0:02:18   0:01:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1242   0         0.001     1023       9.00      0:02:18   0:01:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1244   0         0.001     1023       9.01      0:02:18   0:01:52   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1267   3         0.000     1023       9.16      0:02:18   0:01:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1243   0         0.001     1023       8.99      0:02:18   0:01:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1244   0         0.001     1023       9.00      0:02:18   0:01:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1245   0         0.001     1023       9.01      0:02:18   0:01:51   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1268   3         0.000     1023       9.16      0:02:18   0:01:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1244   0         0.001     1023       8.99      0:02:18   0:01:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1244   0         0.001     1023       9.00      0:02:18   0:01:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1246   0         0.001     1023       9.01      0:02:18   0:01:51   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1269   3         0.000     1023       9.16      0:02:18   0:01:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1245   0         0.001     1023       8.99      0:02:18   0:01:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1245   0         0.001     1023       8.99      0:02:18   0:01:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1247   0         0.001     1023       9.01      0:02:18   0:01:51   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1270   3         0.000     1023       9.16      0:02:18   0:01:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1246   0         0.001     1023       8.99      0:02:18   0:01:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1246   0         0.001     1023       8.99      0:02:18   0:01:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1248   0         0.001     1023       9.01      0:02:18   0:01:50   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1272   3         0.000     1023       9.17      0:02:18   0:01:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1247   0         0.001     1023       8.99      0:02:18   0:01:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1248   0         0.001     1023       8.99      0:02:18   0:01:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1250   0         0.001     1023       9.01      0:02:18   0:01:50   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1273   3         0.000     1023       9.17      0:02:18   0:01:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1249   0         0.001     1023       8.99      0:02:18   0:01:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1249   0         0.001     1023       9.00      0:02:18   0:01:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1251   0         0.001     1023       9.01      0:02:18   0:01:49   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1274   3         0.000     1023       9.17      0:02:19   0:01:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1250   0         0.001     1023       8.99      0:02:18   0:01:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1250   0         0.001     1023       9.00      0:02:18   0:01:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1252   0         0.001     1023       9.01      0:02:18   0:01:49   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1274   3         0.000     1023       9.17      0:02:19   0:01:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1251   0         0.001     1023       9.00      0:02:19   0:01:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1251   0         0.001     1023       9.00      0:02:19   0:01:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1253   0         0.001     1023       9.01      0:02:19   0:01:49   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1275   3         0.000     1023       9.16      0:02:19   0:01:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1252   0         0.001     1023       8.99      0:02:19   0:01:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1252   0         0.001     1023       8.99      0:02:19   0:01:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1254   0         0.001     1023       9.01      0:02:19   0:01:49   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1276   3         0.000     1023       9.16      0:02:19   0:01:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1253   0         0.001     1023       8.99      0:02:19   0:01:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1253   0         0.001     1023       8.99      0:02:19   0:01:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1255   0         0.001     1023       9.01      0:02:19   0:01:48   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1278   3         0.000     1023       9.16      0:02:19   0:01:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1253   0         0.001     1023       8.99      0:02:19   0:01:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1254   0         0.001     1023       8.99      0:02:19   0:01:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1256   0         0.001     1023       9.01      0:02:19   0:01:48   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1279   3         0.000     1023       9.16      0:02:19   0:01:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1255   0         0.001     1023       8.99      0:02:19   0:01:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1255   0         0.001     1023       9.00      0:02:19   0:01:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1257   0         0.001     1023       9.01      0:02:19   0:01:48   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1280   3         0.000     1023       9.17      0:02:19   0:01:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1256   0         0.001     1023       8.99      0:02:19   0:01:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1256   0         0.001     1023       9.00      0:02:19   0:01:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1258   0         0.001     1023       9.01      0:02:19   0:01:47   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1281   3         0.000     1023       9.17      0:02:19   0:01:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1257   0         0.001     1023       8.99      0:02:19   0:01:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1258   0         0.001     1023       9.00      0:02:19   0:01:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1259   0         0.001     1023       9.01      0:02:19   0:01:47   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1282   3         0.000     1023       9.17      0:02:19   0:01:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1258   0         0.001     1023       9.00      0:02:19   0:01:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1259   0         0.001     1023       9.00      0:02:19   0:01:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1260   0         0.001     1023       9.01      0:02:19   0:01:47   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1283   3         0.000     1023       9.17      0:02:20   0:01:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1260   0         0.001     1023       9.00      0:02:20   0:01:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1260   0         0.001     1023       9.00      0:02:20   0:01:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1262   0         0.001     1023       9.01      0:02:20   0:01:46   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1284   3         0.000     1023       9.16      0:02:20   0:01:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1260   0         0.001     1023       9.00      0:02:20   0:01:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1261   0         0.001     1023       9.00      0:02:20   0:01:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1262   0         0.001     1023       9.01      0:02:20   0:01:46   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1285   3         0.000     1023       9.16      0:02:20   0:01:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1261   0         0.001     1023       8.99      0:02:20   0:01:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1261   0         0.001     1023       9.00      0:02:20   0:01:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1263   0         0.001     1023       9.00      0:02:20   0:01:46   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1285   3         0.000     1023       9.16      0:02:20   0:01:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1261   0         0.001     1023       8.99      0:02:20   0:01:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1262   0         0.001     1023       8.99      0:02:20   0:01:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1263   0         0.001     1023       9.00      0:02:20   0:01:46   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1286   3         0.000     1023       9.15      0:02:20   0:01:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1262   0         0.001     1023       8.98      0:02:20   0:01:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1263   0         0.001     1023       8.98      0:02:20   0:01:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1264   0         0.001     1023       9.00      0:02:20   0:01:45   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1287   3         0.000     1023       9.15      0:02:20   0:01:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1263   0         0.001     1023       8.98      0:02:20   0:01:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1264   0         0.001     1023       8.98      0:02:20   0:01:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1265   0         0.001     1023       9.00      0:02:20   0:01:45   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1288   3         0.000     1023       9.15      0:02:20   0:01:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1264   0         0.001     1023       8.98      0:02:20   0:01:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1265   0         0.001     1023       8.98      0:02:20   0:01:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1266   0         0.001     1023       9.00      0:02:20   0:01:45   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1289   3         0.000     1023       9.15      0:02:20   0:01:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1265   0         0.001     1023       8.98      0:02:20   0:01:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1266   0         0.001     1023       8.98      0:02:20   0:01:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1267   0         0.001     1023       9.00      0:02:20   0:01:45   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1290   3         0.000     1023       9.15      0:02:21   0:01:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1266   0         0.001     1023       8.98      0:02:21   0:01:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1266   0         0.001     1023       8.98      0:02:21   0:01:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1268   0         0.001     1023       9.00      0:02:21   0:01:44   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1291   3         0.000     1023       9.15      0:02:21   0:01:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1267   0         0.001     1023       8.98      0:02:21   0:01:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1267   0         0.001     1023       8.98      0:02:21   0:01:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1269   0         0.001     1023       8.99      0:02:21   0:01:44   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1292   3         0.000     1023       9.15      0:02:21   0:01:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1268   0         0.001     1023       8.98      0:02:21   0:01:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1268   0         0.001     1023       8.98      0:02:21   0:01:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1270   0         0.001     1023       8.99      0:02:21   0:01:44   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1293   3         0.000     1023       9.15      0:02:21   0:01:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1269   0         0.001     1023       8.98      0:02:21   0:01:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1269   0         0.001     1023       8.98      0:02:21   0:01:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1271   0         0.001     1023       8.99      0:02:21   0:01:43   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1293   3         0.000     1023       9.15      0:02:21   0:01:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1270   1         0.001     417        8.97      0:02:21   0:01:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1270   0         0.001     1023       8.98      0:02:21   0:01:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1272   0         0.001     1023       8.98      0:02:21   0:01:43   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1294   3         0.000     1023       9.14      0:02:21   0:01:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1271   1         0.001     1023       8.97      0:02:21   0:01:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1271   0         0.001     1023       8.97      0:02:21   0:01:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1273   0         0.001     1023       8.98      0:02:21   0:01:42   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1295   3         0.000     1023       9.14      0:02:21   0:01:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1272   1         0.001     1023       8.97      0:02:21   0:01:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1272   0         0.001     1023       8.97      0:02:21   0:01:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1273   0         0.001     1023       8.98      0:02:21   0:01:42   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1296   3         0.000     1023       9.14      0:02:21   0:01:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1273   1         0.001     1023       8.97      0:02:21   0:01:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1273   0         0.001     1023       8.97      0:02:21   0:01:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1274   0         0.001     1023       8.98      0:02:21   0:01:42   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1297   3         0.000     1023       9.14      0:02:22   0:01:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1274   1         0.001     1023       8.97      0:02:22   0:01:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1274   0         0.001     1023       8.97      0:02:22   0:01:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1276   0         0.001     1023       8.98      0:02:22   0:01:41   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1298   3         0.000     1023       9.14      0:02:22   0:01:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1275   1         0.001     1023       8.97      0:02:22   0:01:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1275   0         0.001     1023       8.97      0:02:22   0:01:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1277   0         0.001     1023       8.99      0:02:22   0:01:41   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1299   3         0.000     1023       9.14      0:02:22   0:01:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1276   1         0.001     1023       8.97      0:02:22   0:01:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1276   0         0.001     1023       8.97      0:02:22   0:01:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1278   0         0.001     1023       8.98      0:02:22   0:01:41   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1300   3         0.000     1023       9.13      0:02:22   0:01:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1277   1         0.001     1023       8.97      0:02:22   0:01:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1277   0         0.001     1023       8.97      0:02:22   0:01:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1278   0         0.001     1023       8.98      0:02:22   0:01:41   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1300   3         0.000     1023       9.13      0:02:22   0:01:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1277   1         0.001     1023       8.97      0:02:22   0:01:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1277   0         0.001     1023       8.97      0:02:22   0:01:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1279   0         0.001     1023       8.98      0:02:22   0:01:41   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1301   3         0.000     1023       9.12      0:02:22   0:01:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1278   1         0.001     1023       8.96      0:02:22   0:01:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1278   0         0.001     1023       8.96      0:02:22   0:01:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1280   0         0.001     1023       8.97      0:02:22   0:01:41   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1301   3         0.000     1023       9.12      0:02:22   0:01:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1278   1         0.001     1023       8.96      0:02:22   0:01:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1279   0         0.001     1023       8.96      0:02:22   0:01:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1280   0         0.001     1023       8.97      0:02:22   0:01:41   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1302   3         0.000     1023       9.12      0:02:22   0:01:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1279   1         0.001     1023       8.96      0:02:22   0:01:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1280   0         0.001     1023       8.96      0:02:22   0:01:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1281   0         0.001     1023       8.97      0:02:22   0:01:41   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1303   3         0.000     1023       9.12      0:02:23   0:01:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1280   1         0.001     1023       8.95      0:02:23   0:01:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1281   0         0.001     1023       8.96      0:02:23   0:01:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1282   0         0.001     1023       8.97      0:02:22   0:01:41   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1304   3         0.000     1023       9.12      0:02:23   0:01:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1281   1         0.001     1023       8.95      0:02:23   0:01:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1281   0         0.001     1023       8.96      0:02:23   0:01:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1283   0         0.001     1023       8.97      0:02:23   0:01:41   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1305   3         0.000     1023       9.11      0:02:23   0:01:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1282   1         0.001     1023       8.95      0:02:23   0:01:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1282   0         0.001     1023       8.96      0:02:23   0:01:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1284   0         0.001     1023       8.97      0:02:23   0:01:41   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1306   3         0.000     1023       9.11      0:02:23   0:01:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1283   1         0.001     1023       8.95      0:02:23   0:01:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1283   0         0.001     1023       8.96      0:02:23   0:01:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1285   0         0.001     1023       8.97      0:02:23   0:01:41   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1307   3         0.000     1023       9.11      0:02:23   0:01:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1284   1         0.001     1023       8.95      0:02:23   0:01:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1284   0         0.001     1023       8.96      0:02:23   0:01:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1286   0         0.001     1023       8.97      0:02:23   0:01:41   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1308   3         0.000     1023       9.11      0:02:23   0:01:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1285   1         0.001     1023       8.95      0:02:23   0:01:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m   1285   0         0.001     1023       8.95      0:02:23   0:01:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1287   0         0.001     1023       8.96      0:02:23   0:01:40   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1309   3         0.000     1023       9.11      0:02:23   0:01:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1286   1         0.001     1023       8.95      0:02:23   0:01:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1286   0         0.001     1023       8.95      0:02:23   0:01:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1288   0         0.001     1023       8.96      0:02:23   0:01:40   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1309   3         0.000     1023       9.11      0:02:23   0:01:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1286   1         0.001     1023       8.95      0:02:23   0:01:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1287   0         0.001     1023       8.95      0:02:23   0:01:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1288   0         0.001     1023       8.96      0:02:23   0:01:40   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1311   3         0.000     1023       9.11      0:02:23   0:01:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1287   1         0.001     1023       8.95      0:02:23   0:01:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1288   0         0.001     1023       8.95      0:02:23   0:01:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1289   0         0.001     1023       8.96      0:02:23   0:01:40   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1312   3         0.000     1023       9.11      0:02:24   0:01:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1289   1         0.001     1023       8.95      0:02:24   0:01:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1289   0         0.001     1023       8.95      0:02:24   0:01:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1291   0         0.001     1023       8.96      0:02:24   0:01:40   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1313   3         0.000     1023       9.11      0:02:24   0:01:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1290   1         0.001     1023       8.95      0:02:24   0:01:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1290   0         0.001     1023       8.95      0:02:24   0:01:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1292   0         0.001     1023       8.96      0:02:24   0:01:39   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1314   3         0.000     1023       9.11      0:02:24   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1291   1         0.001     1023       8.95      0:02:24   0:01:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1291   0         0.001     1023       8.95      0:02:24   0:01:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1293   0         0.001     1023       8.96      0:02:24   0:01:39   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1315   3         0.000     1023       9.11      0:02:24   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1292   1         0.001     1023       8.95      0:02:24   0:01:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1293   0         0.001     1023       8.96      0:02:24   0:01:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1294   0         0.001     1023       8.96      0:02:24   0:01:39   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1317   3         0.000     1023       9.11      0:02:24   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1293   1         0.001     1023       8.95      0:02:24   0:01:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1294   0         0.001     1023       8.96      0:02:24   0:01:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1295   0         0.001     1023       8.97      0:02:24   0:01:38   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1318   3         0.000     1023       9.11      0:02:24   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1294   1         0.001     1023       8.95      0:02:24   0:01:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1295   0         0.001     1023       8.96      0:02:24   0:01:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1296   0         0.001     1023       8.97      0:02:24   0:01:38   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1318   3         0.000     1023       9.11      0:02:24   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1295   1         0.001     1023       8.95      0:02:24   0:01:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1296   0         0.001     1023       8.96      0:02:24   0:01:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1297   0         0.001     1023       8.97      0:02:24   0:01:38   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1319   3         0.000     1023       9.11      0:02:24   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1296   1         0.001     1023       8.95      0:02:24   0:01:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1297   0         0.001     1023       8.95      0:02:24   0:01:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1298   0         0.001     1023       8.96      0:02:24   0:01:38   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1320   3         0.000     1023       9.10      0:02:25   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1297   1         0.001     1023       8.94      0:02:25   0:01:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1298   0         0.001     1023       8.95      0:02:25   0:01:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1299   0         0.001     1023       8.96      0:02:25   0:01:37   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1321   3         0.000     1023       9.10      0:02:25   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1298   1         0.001     1023       8.94      0:02:25   0:01:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1299   0         0.001     1023       8.95      0:02:25   0:01:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1300   0         0.001     1023       8.96      0:02:25   0:01:37   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1324   5         0.000     123        9.12      0:02:25   0:01:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1299   1         0.001     1023       8.95      0:02:25   0:01:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1300   0         0.001     1023       8.95      0:02:25   0:01:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1301   0         0.001     1023       8.96      0:02:25   0:01:36   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1325   5         0.000     1023       9.12      0:02:25   0:01:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1301   1         0.001     1023       8.95      0:02:25   0:01:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1301   0         0.001     1023       8.95      0:02:25   0:01:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1302   0         0.001     1023       8.96      0:02:25   0:01:36   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1327   6         0.000     610        9.12      0:02:25   0:01:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1302   1         0.001     1023       8.95      0:02:25   0:01:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1302   0         0.001     1023       8.95      0:02:25   0:01:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1304   0         0.001     1023       8.96      0:02:25   0:01:35   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1328   6         0.000     1023       9.12      0:02:25   0:01:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1303   1         0.001     1023       8.95      0:02:25   0:01:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1303   0         0.001     1023       8.96      0:02:25   0:01:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1304   0         0.001     1023       8.96      0:02:25   0:01:35   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1328   6         0.000     1023       9.12      0:02:25   0:01:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1303   1         0.001     1023       8.95      0:02:25   0:01:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1304   0         0.001     1023       8.95      0:02:25   0:01:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1305   0         0.001     1023       8.96      0:02:25   0:01:35   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1328   6         0.000     1023       9.12      0:02:25   0:01:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1303   1         0.001     1023       8.95      0:02:25   0:01:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1304   0         0.001     1023       8.95      0:02:25   0:01:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1305   0         0.001     1023       8.96      0:02:25   0:01:35   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1329   6         0.000     1023       9.11      0:02:25   0:01:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1304   1         0.001     1023       8.94      0:02:25   0:01:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1305   0         0.001     1023       8.94      0:02:25   0:01:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1306   0         0.001     1023       8.95      0:02:25   0:01:35   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1330   6         0.000     1023       9.11      0:02:26   0:01:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1305   1         0.001     1023       8.94      0:02:26   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1306   0         0.001     1023       8.94      0:02:26   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1307   0         0.001     1023       8.95      0:02:26   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1331   6         0.000     1023       9.10      0:02:26   0:01:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1305   1         0.001     1023       8.94      0:02:26   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1306   0         0.001     1023       8.94      0:02:26   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1308   0         0.001     1023       8.95      0:02:26   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1332   6         0.000     1023       9.10      0:02:26   0:01:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1306   1         0.001     1023       8.93      0:02:26   0:01:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1307   0         0.001     1023       8.94      0:02:26   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1309   0         0.001     1023       8.95      0:02:26   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1333   6         0.000     1023       9.10      0:02:26   0:01:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1307   1         0.001     1023       8.93      0:02:26   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1308   0         0.001     1023       8.94      0:02:26   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1310   0         0.001     1023       8.95      0:02:26   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1333   6         0.000     1023       9.10      0:02:26   0:01:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1308   1         0.001     1023       8.93      0:02:26   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1309   0         0.001     1023       8.94      0:02:26   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1310   0         0.001     1023       8.95      0:02:26   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1334   6         0.000     1023       9.10      0:02:26   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1309   1         0.001     1023       8.93      0:02:26   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1310   0         0.001     1023       8.93      0:02:26   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1311   0         0.001     1023       8.94      0:02:26   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1335   6         0.000     1023       9.10      0:02:26   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1310   1         0.001     1023       8.93      0:02:26   0:01:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1311   0         0.001     1023       8.93      0:02:26   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1312   0         0.001     1023       8.94      0:02:26   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1336   6         0.000     1023       9.10      0:02:26   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1311   1         0.001     1023       8.93      0:02:26   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1312   0         0.001     1023       8.93      0:02:26   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1313   0         0.001     1023       8.94      0:02:26   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1337   6         0.000     1023       9.10      0:02:27   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1311   1         0.001     1023       8.93      0:02:27   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1312   0         0.001     1023       8.93      0:02:27   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1314   0         0.001     1023       8.94      0:02:27   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1337   6         0.000     1023       9.10      0:02:27   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1312   1         0.001     1023       8.92      0:02:27   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1313   0         0.001     1023       8.93      0:02:27   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1314   0         0.001     1023       8.94      0:02:27   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1338   6         0.000     1023       9.09      0:02:27   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1313   1         0.001     1023       8.91      0:02:27   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1314   0         0.001     1023       8.92      0:02:27   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1315   0         0.001     1023       8.93      0:02:27   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1339   6         0.000     1023       9.09      0:02:27   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1313   1         0.001     1023       8.91      0:02:27   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1315   0         0.001     1023       8.92      0:02:27   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1316   0         0.001     1023       8.93      0:02:27   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1340   6         0.000     1023       9.08      0:02:27   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1314   1         0.001     1023       8.91      0:02:27   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1316   0         0.001     1023       8.92      0:02:27   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1317   0         0.001     1023       8.93      0:02:27   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1341   6         0.000     1023       9.08      0:02:27   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1315   1         0.001     1023       8.91      0:02:27   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1317   0         0.001     1023       8.92      0:02:27   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1318   0         0.001     1023       8.93      0:02:27   0:01:32   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1342   6         0.000     1023       9.08      0:02:27   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1316   1         0.001     1023       8.91      0:02:27   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1317   0         0.001     1023       8.92      0:02:27   0:01:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1319   0         0.001     1023       8.92      0:02:27   0:01:32   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1343   6         0.000     1023       9.08      0:02:27   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1317   1         0.001     1023       8.91      0:02:27   0:01:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1319   0         0.001     1023       8.92      0:02:27   0:01:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1320   0         0.001     1023       8.93      0:02:27   0:01:32   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1344   6         0.000     1023       9.08      0:02:28   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1318   1         0.001     1023       8.91      0:02:28   0:01:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1320   0         0.001     1023       8.92      0:02:28   0:01:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1321   0         0.001     1023       8.92      0:02:28   0:01:32   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1345   6         0.000     1023       9.08      0:02:28   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1319   1         0.001     1023       8.91      0:02:28   0:01:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1320   0         0.001     1023       8.92      0:02:28   0:01:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1321   0         0.001     1023       8.92      0:02:28   0:01:32   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1345   6         0.000     1023       9.08      0:02:28   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1319   1         0.001     1023       8.91      0:02:28   0:01:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1321   0         0.001     1023       8.92      0:02:28   0:01:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1322   0         0.001     1023       8.92      0:02:28   0:01:31   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1346   6         0.000     1023       9.08      0:02:28   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1320   1         0.001     1023       8.90      0:02:28   0:01:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1322   0         0.001     1023       8.91      0:02:28   0:01:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1323   0         0.001     1023       8.92      0:02:28   0:01:32   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1347   6         0.000     1023       9.07      0:02:28   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1321   1         0.001     1023       8.90      0:02:28   0:01:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1323   0         0.001     1023       8.91      0:02:28   0:01:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1323   0         0.001     1023       8.92      0:02:28   0:01:32   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1348   6         0.000     1023       9.07      0:02:28   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1322   1         0.001     1023       8.90      0:02:28   0:01:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1324   0         0.001     1023       8.91      0:02:28   0:01:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1324   0         0.001     1023       8.92      0:02:28   0:01:32   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1349   6         0.000     1023       9.07      0:02:28   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1323   1         0.001     1023       8.90      0:02:28   0:01:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1324   0         0.001     1023       8.91      0:02:28   0:01:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1325   0         0.001     1023       8.92      0:02:28   0:01:31   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1350   6         0.000     1023       9.07      0:02:28   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1324   1         0.001     1023       8.90      0:02:28   0:01:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1325   0         0.001     1023       8.91      0:02:28   0:01:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1326   0         0.001     1023       8.92      0:02:28   0:01:31   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1351   6         0.000     1023       9.07      0:02:28   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1325   1         0.001     1023       8.90      0:02:28   0:01:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1326   0         0.001     1023       8.91      0:02:28   0:01:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1327   0         0.001     1023       8.92      0:02:28   0:01:31   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1352   6         0.000     1023       9.07      0:02:29   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1326   1         0.001     1023       8.90      0:02:29   0:01:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1327   0         0.001     1023       8.91      0:02:29   0:01:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1328   0         0.001     1023       8.91      0:02:29   0:01:30   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1353   6         0.000     1023       9.07      0:02:29   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1327   1         0.001     1023       8.90      0:02:29   0:01:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1328   0         0.001     1023       8.91      0:02:29   0:01:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1329   0         0.001     1023       8.91      0:02:29   0:01:30   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1353   6         0.000     1023       9.07      0:02:29   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1327   1         0.001     1023       8.90      0:02:29   0:01:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1329   0         0.001     1023       8.90      0:02:29   0:01:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1330   0         0.001     1023       8.91      0:02:29   0:01:30   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1354   6         0.000     1023       9.07      0:02:29   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1329   1         0.001     73         8.90      0:02:29   0:01:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1329   0         0.001     1023       8.90      0:02:29   0:01:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1330   0         0.001     1023       8.91      0:02:29   0:01:30   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1355   6         0.000     1023       9.07      0:02:29   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1330   2         0.001     659        8.90      0:02:29   0:01:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1330   0         0.001     1023       8.90      0:02:29   0:01:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1332   0         0.001     1023       8.91      0:02:29   0:01:30   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1356   6         0.000     1023       9.06      0:02:29   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1331   2         0.001     1023       8.90      0:02:29   0:01:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1331   0         0.001     1023       8.90      0:02:29   0:01:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1332   0         0.001     1023       8.91      0:02:29   0:01:30   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1356   6         0.000     1023       9.06      0:02:29   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1332   2         0.001     1023       8.89      0:02:29   0:01:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1332   0         0.001     1023       8.89      0:02:29   0:01:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1333   0         0.001     1023       8.90      0:02:29   0:01:30   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1357   6         0.000     1023       9.05      0:02:30   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1332   2         0.001     1023       8.89      0:02:30   0:01:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1333   0         0.001     1023       8.89      0:02:30   0:01:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1334   0         0.001     1023       8.90      0:02:29   0:01:30   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1358   6         0.000     1023       9.05      0:02:30   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1335   3         0.001     511        8.89      0:02:30   0:01:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1333   0         0.001     1023       8.89      0:02:30   0:01:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1335   0         0.001     1023       8.89      0:02:30   0:01:30   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1359   6         0.000     1023       9.05      0:02:30   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1336   3         0.001     1023       8.89      0:02:30   0:01:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1335   0         0.001     1023       8.89      0:02:30   0:01:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1336   0         0.001     1023       8.90      0:02:30   0:01:30   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1360   6         0.000     1023       9.05      0:02:30   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1337   3         0.001     1023       8.89      0:02:30   0:01:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1335   0         0.001     1023       8.89      0:02:30   0:01:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1337   0         0.001     1023       8.90      0:02:30   0:01:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1361   6         0.000     1023       9.05      0:02:30   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1338   3         0.001     1023       8.89      0:02:30   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1336   0         0.001     1023       8.89      0:02:30   0:01:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1338   0         0.001     1023       8.90      0:02:30   0:01:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1362   6         0.000     1023       9.05      0:02:30   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1339   3         0.001     1023       8.89      0:02:30   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1337   0         0.001     1023       8.88      0:02:30   0:01:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1338   0         0.001     1023       8.90      0:02:30   0:01:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1363   6         0.000     1023       9.05      0:02:30   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1339   3         0.001     1023       8.89      0:02:30   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1338   0         0.001     1023       8.88      0:02:30   0:01:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1339   0         0.001     1023       8.89      0:02:30   0:01:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1363   6         0.000     1023       9.05      0:02:30   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1340   3         0.001     1023       8.89      0:02:30   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1338   0         0.001     1023       8.88      0:02:30   0:01:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1340   0         0.001     1023       8.89      0:02:30   0:01:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1364   6         0.000     1023       9.04      0:02:30   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1341   3         0.001     1023       8.89      0:02:30   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1339   0         0.001     1023       8.88      0:02:30   0:01:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1341   0         0.001     1023       8.89      0:02:30   0:01:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1365   6         0.000     1023       9.04      0:02:31   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1341   3         0.001     1023       8.89      0:02:31   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1340   0         0.001     1023       8.88      0:02:31   0:01:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1341   0         0.001     1023       8.89      0:02:31   0:01:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1366   6         0.000     1023       9.04      0:02:31   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1342   3         0.001     1023       8.88      0:02:31   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1341   0         0.001     1023       8.87      0:02:31   0:01:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1342   0         0.001     1023       8.88      0:02:31   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1366   6         0.000     1023       9.04      0:02:31   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1343   3         0.001     1023       8.88      0:02:31   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1342   0         0.001     1023       8.87      0:02:31   0:01:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1343   0         0.001     1023       8.88      0:02:31   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1367   6         0.000     1023       9.03      0:02:31   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1344   4         0.001     745        8.88      0:02:31   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1342   0         0.001     1023       8.87      0:02:31   0:01:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1344   0         0.001     1023       8.88      0:02:31   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1368   6         0.000     1023       9.03      0:02:31   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1345   4         0.001     1023       8.88      0:02:31   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1343   0         0.001     1023       8.87      0:02:31   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1345   0         0.001     1023       8.88      0:02:31   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1369   6         0.000     1023       9.03      0:02:31   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1346   4         0.001     1023       8.88      0:02:31   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1344   0         0.001     1023       8.87      0:02:31   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1346   0         0.001     1023       8.88      0:02:31   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1369   6         0.000     1023       9.03      0:02:31   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1346   4         0.001     1023       8.88      0:02:31   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1345   0         0.001     1023       8.86      0:02:31   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1346   0         0.001     1023       8.88      0:02:31   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1370   6         0.000     1023       9.02      0:02:31   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1347   4         0.001     1023       8.87      0:02:31   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1345   0         0.001     1023       8.86      0:02:31   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1347   0         0.001     1023       8.87      0:02:31   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1370   6         0.000     1023       9.02      0:02:32   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1347   4         0.001     1023       8.87      0:02:32   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1346   0         0.001     1023       8.85      0:02:32   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1347   0         0.001     1023       8.87      0:02:32   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1371   6         0.000     1023       9.01      0:02:32   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1348   4         0.001     1023       8.86      0:02:32   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1347   0         0.001     1023       8.84      0:02:32   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1348   0         0.001     1023       8.85      0:02:32   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1372   6         0.000     1023       9.00      0:02:32   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1349   4         0.001     1023       8.85      0:02:32   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1348   0         0.001     1023       8.84      0:02:32   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1349   0         0.001     1023       8.85      0:02:32   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1373   6         0.000     1023       9.00      0:02:32   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1350   4         0.001     1023       8.85      0:02:32   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1348   0         0.001     1023       8.84      0:02:32   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1350   0         0.001     1023       8.85      0:02:32   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1374   6         0.000     1023       9.00      0:02:32   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1351   4         0.001     1023       8.85      0:02:32   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1350   0         0.001     1023       8.84      0:02:32   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1350   0         0.001     1023       8.85      0:02:32   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1375   6         0.000     1023       9.00      0:02:32   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1352   4         0.001     1023       8.85      0:02:32   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1351   0         0.001     1023       8.84      0:02:32   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1352   0         0.001     1023       8.85      0:02:32   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1376   6         0.000     1023       9.00      0:02:32   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1353   4         0.001     1023       8.85      0:02:32   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1352   0         0.001     1023       8.85      0:02:32   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1353   0         0.001     1023       8.85      0:02:32   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1377   6         0.000     1023       9.00      0:02:33   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1354   4         0.001     1023       8.85      0:02:32   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1353   0         0.001     1023       8.85      0:02:32   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1354   0         0.001     1023       8.85      0:02:32   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1378   7         0.000     854        9.00      0:02:33   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1355   4         0.001     1023       8.85      0:02:33   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1354   0         0.001     1023       8.84      0:02:33   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1355   0         0.001     1023       8.85      0:02:33   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1378   7         0.000     854        9.00      0:02:33   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1355   4         0.001     1023       8.85      0:02:33   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1354   0         0.001     1023       8.84      0:02:33   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1355   0         0.001     1023       8.85      0:02:33   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1379   8         0.000     770        9.00      0:02:33   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1356   4         0.001     1023       8.84      0:02:33   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1355   0         0.001     1023       8.84      0:02:33   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1356   0         0.001     1023       8.84      0:02:33   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1380   8         0.000     1023       9.00      0:02:33   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1357   4         0.001     1023       8.84      0:02:33   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1356   0         0.001     1023       8.84      0:02:33   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1356   0         0.001     1023       8.84      0:02:33   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1381   8         0.000     1023       9.00      0:02:33   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1357   4         0.001     1023       8.84      0:02:33   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1356   0         0.001     1023       8.84      0:02:33   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1357   0         0.001     1023       8.84      0:02:33   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1382   8         0.000     1023       8.99      0:02:33   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1358   4         0.001     1023       8.84      0:02:33   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1357   0         0.001     1023       8.84      0:02:33   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1358   0         0.001     1023       8.84      0:02:33   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1383   9         0.000     411        8.99      0:02:33   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1359   4         0.001     1023       8.84      0:02:33   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1358   0         0.001     1023       8.83      0:02:33   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1359   0         0.001     1023       8.84      0:02:33   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1383   9         0.000     411        8.99      0:02:33   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1359   4         0.001     1023       8.84      0:02:33   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1358   0         0.001     1023       8.83      0:02:33   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1359   0         0.001     1023       8.84      0:02:33   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1384   9         0.000     1023       8.99      0:02:34   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1360   4         0.001     1023       8.83      0:02:34   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1359   0         0.001     1023       8.83      0:02:34   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1360   0         0.001     1023       8.83      0:02:34   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1385   9         0.000     1023       8.99      0:02:34   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1361   4         0.001     1023       8.83      0:02:34   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1360   0         0.001     1023       8.83      0:02:34   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1361   0         0.001     1023       8.83      0:02:34   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1385   9         0.000     1023       8.99      0:02:34   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1361   4         0.001     1023       8.83      0:02:34   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1360   0         0.001     1023       8.83      0:02:34   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1361   0         0.001     1023       8.83      0:02:34   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1386   9         0.000     1023       8.98      0:02:34   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1362   4         0.001     1023       8.83      0:02:34   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1361   0         0.001     1023       8.82      0:02:34   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1362   0         0.001     1023       8.83      0:02:34   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1387   9         0.000     1023       8.98      0:02:34   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1363   4         0.001     1023       8.82      0:02:34   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1362   0         0.001     1023       8.81      0:02:34   0:01:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1363   0         0.001     1023       8.82      0:02:34   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1387   9         0.000     1023       8.98      0:02:34   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1363   4         0.001     1023       8.82      0:02:34   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1362   0         0.001     1023       8.81      0:02:34   0:01:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1363   0         0.001     1023       8.82      0:02:34   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1388   9         0.000     1023       8.97      0:02:34   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1363   4         0.001     1023       8.82      0:02:34   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1362   0         0.001     1023       8.81      0:02:34   0:01:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1364   0         0.001     1023       8.81      0:02:34   0:01:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1388   9         0.000     1023       8.97      0:02:34   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1364   4         0.001     1023       8.81      0:02:34   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1363   0         0.001     1023       8.80      0:02:34   0:01:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1364   0         0.001     1023       8.81      0:02:34   0:01:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1389   9         0.000     1023       8.96      0:02:35   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1365   4         0.001     1023       8.81      0:02:35   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1364   0         0.001     1023       8.80      0:02:35   0:01:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1365   0         0.001     1023       8.81      0:02:35   0:01:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1390   9         0.000     1023       8.96      0:02:35   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1366   4         0.001     1023       8.81      0:02:35   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1365   0         0.001     1023       8.80      0:02:35   0:01:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1366   0         0.001     1023       8.81      0:02:35   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1391   9         0.000     1023       8.96      0:02:35   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1367   4         0.001     1023       8.81      0:02:35   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1366   0         0.001     1023       8.80      0:02:35   0:01:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1367   0         0.001     1023       8.81      0:02:35   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1392   9         0.000     1023       8.96      0:02:35   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1368   4         0.001     1023       8.81      0:02:35   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1367   0         0.001     1023       8.80      0:02:35   0:01:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1368   0         0.001     1023       8.81      0:02:35   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1393   9         0.000     1023       8.96      0:02:35   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1368   4         0.001     1023       8.81      0:02:35   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1368   0         0.001     1023       8.80      0:02:35   0:01:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1368   0         0.001     1023       8.81      0:02:35   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1393   9         0.000     1023       8.96      0:02:35   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1369   4         0.001     1023       8.80      0:02:35   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1368   0         0.001     1023       8.80      0:02:35   0:01:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1369   0         0.001     1023       8.81      0:02:35   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1394   9         0.000     1023       8.96      0:02:35   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1370   4         0.001     1023       8.80      0:02:35   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1369   0         0.001     1023       8.80      0:02:35   0:01:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1370   0         0.001     1023       8.80      0:02:35   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1394   9         0.000     1023       8.96      0:02:35   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1370   4         0.001     1023       8.80      0:02:35   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1369   0         0.001     1023       8.80      0:02:35   0:01:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1370   0         0.001     1023       8.80      0:02:35   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1395   9         0.000     1023       8.95      0:02:35   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1371   4         0.001     1023       8.79      0:02:35   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1370   0         0.001     1023       8.79      0:02:35   0:01:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1371   0         0.001     1023       8.79      0:02:35   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1396   9         0.000     1023       8.95      0:02:36   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1372   4         0.001     1023       8.79      0:02:36   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1371   0         0.001     1023       8.79      0:02:36   0:01:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1372   0         0.001     1023       8.79      0:02:36   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1396   9         0.000     1023       8.95      0:02:36   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1372   4         0.001     1023       8.79      0:02:36   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1371   0         0.001     1023       8.79      0:02:36   0:01:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1372   0         0.001     1023       8.79      0:02:36   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1397   9         0.000     1023       8.94      0:02:36   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1373   4         0.001     1023       8.79      0:02:36   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1372   0         0.001     1023       8.78      0:02:36   0:01:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1373   0         0.001     1023       8.79      0:02:36   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1398   9         0.000     1023       8.94      0:02:36   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1374   4         0.001     1023       8.79      0:02:36   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1373   0         0.001     1023       8.78      0:02:36   0:01:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1374   0         0.001     1023       8.78      0:02:36   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1399   9         0.000     1023       8.94      0:02:36   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1375   4         0.001     1023       8.79      0:02:36   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1374   0         0.001     1023       8.78      0:02:36   0:01:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1374   0         0.001     1023       8.78      0:02:36   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1399   9         0.000     1023       8.94      0:02:36   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1376   4         0.001     1023       8.78      0:02:36   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1374   0         0.001     1023       8.78      0:02:36   0:01:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1375   0         0.001     1023       8.78      0:02:36   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1400   9         0.000     1023       8.94      0:02:36   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1376   4         0.001     1023       8.78      0:02:36   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1375   0         0.001     1023       8.77      0:02:36   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1376   0         0.001     1023       8.78      0:02:36   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1401   9         0.000     1023       8.93      0:02:36   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1377   4         0.001     1023       8.78      0:02:36   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1375   0         0.001     1023       8.77      0:02:36   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1376   0         0.001     1023       8.78      0:02:36   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1401   9         0.000     1023       8.93      0:02:37   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1377   4         0.001     1023       8.78      0:02:37   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1376   0         0.001     1023       8.77      0:02:37   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1377   0         0.001     1023       8.77      0:02:37   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1402   9         0.000     1023       8.93      0:02:37   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1378   4         0.001     1023       8.77      0:02:37   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1377   0         0.001     1023       8.77      0:02:37   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1378   0         0.001     1023       8.77      0:02:37   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1403   9         0.000     1023       8.92      0:02:37   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1379   4         0.001     1023       8.77      0:02:37   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1378   0         0.001     1023       8.76      0:02:37   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1378   0         0.001     1023       8.77      0:02:37   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1403   9         0.000     1023       8.92      0:02:37   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1379   4         0.001     1023       8.77      0:02:37   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1378   0         0.001     1023       8.76      0:02:37   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1379   0         0.001     1023       8.77      0:02:37   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1404   9         0.000     1023       8.91      0:02:37   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1380   4         0.001     1023       8.76      0:02:37   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1379   0         0.001     1023       8.75      0:02:37   0:01:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1380   0         0.001     1023       8.75      0:02:37   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1405   9         0.000     1023       8.90      0:02:37   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1381   4         0.001     1023       8.75      0:02:37   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1380   0         0.001     1023       8.75      0:02:37   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1381   0         0.001     1023       8.75      0:02:37   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1405   9         0.000     1023       8.90      0:02:37   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1382   4         0.001     1023       8.75      0:02:37   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1380   0         0.001     1023       8.75      0:02:37   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1381   0         0.001     1023       8.75      0:02:37   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1406   9         0.000     1023       8.90      0:02:38   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1382   4         0.001     1023       8.75      0:02:38   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1381   0         0.001     1023       8.75      0:02:38   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1382   0         0.001     1023       8.75      0:02:38   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1407   9         0.000     1023       8.90      0:02:38   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1383   4         0.001     1023       8.75      0:02:38   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1382   0         0.001     1023       8.74      0:02:38   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1383   0         0.001     1023       8.75      0:02:38   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1408   9         0.000     1023       8.90      0:02:38   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1384   4         0.001     1023       8.75      0:02:38   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1383   0         0.001     1023       8.74      0:02:38   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1384   0         0.001     1023       8.75      0:02:38   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1409   9         0.000     1023       8.90      0:02:38   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1384   4         0.001     1023       8.75      0:02:38   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1383   0         0.001     1023       8.74      0:02:38   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1384   0         0.001     1023       8.75      0:02:38   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1409   9         0.000     1023       8.90      0:02:38   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1385   4         0.001     1023       8.74      0:02:38   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1384   0         0.001     1023       8.74      0:02:38   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1385   0         0.001     1023       8.74      0:02:38   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1410   9         0.000     1023       8.89      0:02:38   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1386   4         0.001     1023       8.74      0:02:38   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1385   0         0.001     1023       8.73      0:02:38   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1386   0         0.001     1023       8.74      0:02:38   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1411   9         0.000     1023       8.89      0:02:38   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1387   4         0.001     1023       8.74      0:02:38   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1385   0         0.001     1023       8.73      0:02:38   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1387   0         0.001     1023       8.73      0:02:38   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1411   9         0.000     1023       8.89      0:02:38   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1387   4         0.001     1023       8.74      0:02:38   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1386   0         0.001     1023       8.73      0:02:38   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1387   0         0.001     1023       8.73      0:02:38   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1412   9         0.000     1023       8.88      0:02:39   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1388   4         0.001     1023       8.73      0:02:39   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1387   0         0.001     1023       8.72      0:02:39   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1388   0         0.001     1023       8.73      0:02:39   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1413   9         0.000     1023       8.88      0:02:39   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1389   4         0.001     1023       8.73      0:02:39   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1388   0         0.001     1023       8.72      0:02:39   0:01:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1389   0         0.001     1023       8.73      0:02:39   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1414   9         0.000     1023       8.88      0:02:39   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1390   4         0.001     1023       8.73      0:02:39   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1389   0         0.001     1023       8.72      0:02:39   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1390   0         0.001     1023       8.73      0:02:39   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1415   9         0.000     1023       8.88      0:02:39   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1391   4         0.001     1023       8.73      0:02:39   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1390   0         0.001     1023       8.73      0:02:39   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1391   0         0.001     1023       8.73      0:02:39   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1416   9         0.000     1023       8.88      0:02:39   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1392   4         0.001     1023       8.73      0:02:39   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1391   0         0.001     1023       8.73      0:02:39   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1392   0         0.001     1023       8.73      0:02:39   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1417   9         0.000     1023       8.88      0:02:39   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1393   4         0.001     1023       8.73      0:02:39   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1392   0         0.001     1023       8.72      0:02:39   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1393   0         0.001     1023       8.73      0:02:39   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1418   9         0.000     1023       8.88      0:02:39   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1394   4         0.001     1023       8.73      0:02:39   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1393   0         0.001     1023       8.72      0:02:39   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1394   0         0.001     1023       8.73      0:02:39   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1419   9         0.000     1023       8.88      0:02:39   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1395   4         0.001     1023       8.73      0:02:39   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1394   0         0.001     1023       8.72      0:02:39   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1395   0         0.001     1023       8.73      0:02:39   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1420   9         0.000     1023       8.87      0:02:40   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1395   4         0.001     1023       8.73      0:02:40   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1394   0         0.001     1023       8.72      0:02:40   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1395   0         0.001     1023       8.73      0:02:40   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1420   9         0.000     1023       8.87      0:02:40   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1396   4         0.001     1023       8.72      0:02:40   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1395   0         0.001     1023       8.72      0:02:40   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1396   0         0.001     1023       8.72      0:02:40   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1422   9         0.000     1023       8.87      0:02:40   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1397   4         0.001     1023       8.72      0:02:40   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1396   0         0.001     1023       8.72      0:02:40   0:01:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1397   0         0.001     1023       8.72      0:02:40   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1423   9         0.000     1023       8.87      0:02:40   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1399   4         0.001     1023       8.72      0:02:40   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1397   0         0.001     1023       8.72      0:02:40   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1398   0         0.001     1023       8.72      0:02:40   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1424   9         0.000     1023       8.87      0:02:40   0:01:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1400   4         0.001     1023       8.73      0:02:40   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1399   0         0.001     1023       8.72      0:02:40   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1400   0         0.001     1023       8.72      0:02:40   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1425   9         0.000     1023       8.88      0:02:40   0:01:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1401   4         0.001     1023       8.73      0:02:40   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1400   0         0.001     1023       8.72      0:02:40   0:01:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1401   0         0.001     1023       8.73      0:02:40   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1426   9         0.000     1023       8.88      0:02:40   0:01:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1402   4         0.001     1023       8.73      0:02:40   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1401   0         0.001     1023       8.72      0:02:40   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1402   0         0.001     1023       8.73      0:02:40   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1428   9         0.000     1023       8.88      0:02:40   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1403   4         0.001     1023       8.73      0:02:40   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1402   0         0.001     1023       8.72      0:02:40   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1403   0         0.001     1023       8.73      0:02:40   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1428   9         0.000     1023       8.88      0:02:40   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1404   4         0.001     1023       8.73      0:02:40   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1403   0         0.001     1023       8.72      0:02:40   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1404   0         0.001     1023       8.73      0:02:40   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1429   9         0.000     1023       8.88      0:02:41   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1405   4         0.001     1023       8.73      0:02:41   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1404   0         0.001     1023       8.72      0:02:41   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1405   0         0.001     1023       8.73      0:02:41   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1430   9         0.000     1023       8.87      0:02:41   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1406   4         0.001     1023       8.72      0:02:41   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1405   0         0.001     1023       8.72      0:02:41   0:01:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1406   0         0.001     1023       8.72      0:02:41   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1431   9         0.000     1023       8.87      0:02:41   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1407   4         0.001     1023       8.72      0:02:41   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1406   0         0.001     1023       8.72      0:02:41   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1407   0         0.001     1023       8.72      0:02:41   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1432   9         0.000     1023       8.87      0:02:41   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1407   4         0.001     1023       8.72      0:02:41   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1406   0         0.001     1023       8.72      0:02:41   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1407   0         0.001     1023       8.72      0:02:41   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1433   9         0.000     1023       8.87      0:02:41   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1409   4         0.001     1023       8.72      0:02:41   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1408   0         0.001     1023       8.72      0:02:41   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1409   0         0.001     1023       8.72      0:02:41   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1434   9         0.000     1023       8.87      0:02:41   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1410   4         0.001     1023       8.72      0:02:41   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1409   0         0.001     1023       8.72      0:02:41   0:01:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1410   0         0.001     1023       8.72      0:02:41   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1436   9         0.000     1023       8.87      0:02:41   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1411   4         0.001     1023       8.72      0:02:41   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1410   0         0.001     1023       8.72      0:02:41   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1411   0         0.001     1023       8.72      0:02:41   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1437   9         0.000     1023       8.87      0:02:41   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1412   4         0.001     1023       8.72      0:02:41   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1412   0         0.001     1023       8.72      0:02:41   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1412   0         0.001     1023       8.72      0:02:41   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1438   9         0.000     1023       8.87      0:02:42   0:01:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1413   4         0.001     1023       8.72      0:02:42   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1413   0         0.001     1023       8.72      0:02:42   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1413   0         0.001     1023       8.72      0:02:42   0:01:23   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1439   9         0.000     1023       8.87      0:02:42   0:01:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1414   4         0.001     1023       8.72      0:02:42   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1414   0         0.001     1023       8.72      0:02:42   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1414   0         0.001     1023       8.72      0:02:42   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1440   9         0.000     1023       8.88      0:02:42   0:01:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1415   4         0.001     1023       8.72      0:02:42   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1415   0         0.001     1023       8.72      0:02:42   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1415   0         0.001     1023       8.72      0:02:42   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1441   9         0.000     1023       8.87      0:02:42   0:01:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1416   4         0.001     1023       8.72      0:02:42   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1416   0         0.001     1023       8.71      0:02:42   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1416   0         0.001     1023       8.72      0:02:42   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1442   9         0.000     1023       8.87      0:02:42   0:01:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1417   4         0.001     1023       8.71      0:02:42   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1416   0         0.001     1023       8.71      0:02:42   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1417   0         0.001     1023       8.71      0:02:42   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1442   9         0.000     1023       8.87      0:02:42   0:01:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1417   4         0.001     1023       8.71      0:02:42   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1417   0         0.001     1023       8.71      0:02:42   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1417   0         0.001     1023       8.71      0:02:42   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1443   9         0.000     1023       8.86      0:02:42   0:01:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1419   4         0.001     1023       8.71      0:02:42   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1418   0         0.001     1023       8.71      0:02:42   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1419   0         0.001     1023       8.71      0:02:42   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1444   9         0.000     1023       8.86      0:02:43   0:01:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1419   4         0.001     1023       8.71      0:02:43   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1419   0         0.001     1023       8.71      0:02:43   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1420   0         0.001     1023       8.71      0:02:43   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1446   9         0.000     1023       8.86      0:02:43   0:01:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1420   4         0.001     1023       8.71      0:02:43   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1420   0         0.001     1023       8.71      0:02:43   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1421   0         0.001     1023       8.71      0:02:43   0:01:22   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1446   9         0.000     1023       8.86      0:02:43   0:01:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1421   4         0.001     1023       8.71      0:02:43   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1421   0         0.001     1023       8.71      0:02:43   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1422   0         0.001     1023       8.71      0:02:43   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1447   9         0.000     1023       8.86      0:02:43   0:01:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1422   4         0.001     1023       8.71      0:02:43   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1422   0         0.001     1023       8.71      0:02:43   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1423   0         0.001     1023       8.71      0:02:43   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1448   9         0.000     1023       8.86      0:02:43   0:01:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1423   4         0.001     1023       8.71      0:02:43   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1423   0         0.001     1023       8.70      0:02:43   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1423   0         0.001     1023       8.71      0:02:43   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1449   9         0.000     1023       8.86      0:02:43   0:01:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1424   4         0.001     1023       8.71      0:02:43   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1424   0         0.001     1023       8.70      0:02:43   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1424   0         0.001     1023       8.71      0:02:43   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1450   9         0.000     1023       8.86      0:02:43   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1425   4         0.001     1023       8.70      0:02:43   0:01:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1424   0         0.001     1023       8.70      0:02:43   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1425   0         0.001     1023       8.71      0:02:43   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1450   9         0.000     1023       8.86      0:02:43   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1425   4         0.001     1023       8.70      0:02:43   0:01:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1425   0         0.001     1023       8.70      0:02:43   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1425   0         0.001     1023       8.71      0:02:43   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1451   9         0.000     1023       8.85      0:02:44   0:01:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1426   4         0.001     1023       8.69      0:02:44   0:01:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1426   0         0.001     1023       8.69      0:02:44   0:01:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1427   0         0.001     1023       8.70      0:02:44   0:01:20   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1453   9         0.000     1023       8.85      0:02:44   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1427   4         0.001     1023       8.69      0:02:44   0:01:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1427   0         0.001     1023       8.69      0:02:44   0:01:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1428   0         0.001     1023       8.70      0:02:44   0:01:20   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1454   9         0.000     1023       8.85      0:02:44   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1428   4         0.001     1023       8.69      0:02:44   0:01:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1428   0         0.001     1023       8.69      0:02:44   0:01:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━━\u001b[0m   1428   0         0.001     1023       8.70      0:02:44   0:01:20   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1454   9         0.000     1023       8.85      0:02:44   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1429   4         0.001     1023       8.69      0:02:44   0:01:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1429   0         0.001     1023       8.69      0:02:44   0:01:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1429   0         0.001     1023       8.70      0:02:44   0:01:20   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1455   9         0.000     1023       8.85      0:02:44   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1430   4         0.001     1023       8.69      0:02:44   0:01:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1430   0         0.001     1023       8.69      0:02:44   0:01:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1430   0         0.001     1023       8.70      0:02:44   0:01:20   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1456   9         0.000     1023       8.85      0:02:44   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1431   4         0.001     1023       8.69      0:02:44   0:01:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1431   0         0.001     1023       8.69      0:02:44   0:01:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1431   0         0.001     1023       8.69      0:02:44   0:01:20   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1457   9         0.000     1023       8.85      0:02:44   0:01:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1432   4         0.001     1023       8.69      0:02:44   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1432   0         0.001     1023       8.69      0:02:44   0:01:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1432   0         0.001     1023       8.69      0:02:44   0:01:20   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1458   9         0.000     1023       8.85      0:02:44   0:01:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1433   4         0.001     1023       8.69      0:02:44   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1432   0         0.001     1023       8.69      0:02:44   0:01:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1433   0         0.001     1023       8.69      0:02:44   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1459   9         0.000     1023       8.84      0:02:45   0:01:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1434   4         0.001     1023       8.69      0:02:45   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1433   0         0.001     1023       8.69      0:02:45   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1434   0         0.001     1023       8.69      0:02:45   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1460   9         0.000     1023       8.84      0:02:45   0:01:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1435   4         0.001     1023       8.69      0:02:45   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1434   0         0.001     1023       8.69      0:02:45   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1435   0         0.001     1023       8.69      0:02:45   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1461   9         0.000     1023       8.84      0:02:45   0:01:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1436   4         0.001     1023       8.69      0:02:45   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1435   0         0.001     1023       8.69      0:02:45   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1436   0         0.001     1023       8.69      0:02:45   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1461   9         0.000     1023       8.84      0:02:45   0:01:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1436   4         0.001     1023       8.69      0:02:45   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1436   0         0.001     1023       8.69      0:02:45   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1436   0         0.001     1023       8.69      0:02:45   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1463   9         0.000     1023       8.84      0:02:45   0:01:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1437   4         0.001     1023       8.69      0:02:45   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1437   0         0.001     1023       8.69      0:02:45   0:01:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1438   0         0.001     1023       8.69      0:02:45   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1464   9         0.000     1023       8.84      0:02:45   0:01:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1438   4         0.001     1023       8.69      0:02:45   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1438   0         0.001     1023       8.69      0:02:45   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1439   0         0.001     1023       8.69      0:02:45   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1465   9         0.000     1023       8.84      0:02:45   0:01:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1440   4         0.001     1023       8.69      0:02:45   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1439   0         0.001     1023       8.69      0:02:45   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1440   0         0.001     1023       8.69      0:02:45   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1466   9         0.000     1023       8.84      0:02:45   0:01:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1441   4         0.001     1023       8.69      0:02:45   0:01:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1440   0         0.001     1023       8.69      0:02:45   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1441   0         0.001     1023       8.69      0:02:45   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1467   9         0.000     1023       8.84      0:02:45   0:01:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1442   4         0.001     1023       8.69      0:02:45   0:01:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1441   0         0.001     1023       8.69      0:02:45   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1442   0         0.001     1023       8.69      0:02:45   0:01:18   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1468   9         0.000     1023       8.84      0:02:46   0:01:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1443   4         0.001     1023       8.69      0:02:46   0:01:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1443   0         0.001     1023       8.69      0:02:46   0:01:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1443   0         0.001     1023       8.69      0:02:46   0:01:17   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1469   9         0.000     1023       8.84      0:02:46   0:01:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1444   4         0.001     1023       8.69      0:02:46   0:01:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1444   0         0.001     1023       8.69      0:02:46   0:01:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1444   0         0.001     1023       8.70      0:02:46   0:01:17   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1470   9         0.000     1023       8.84      0:02:46   0:01:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1445   4         0.001     1023       8.69      0:02:46   0:01:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1445   0         0.001     1023       8.69      0:02:46   0:01:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1445   0         0.001     1023       8.70      0:02:46   0:01:17   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1470   9         0.000     1023       8.84      0:02:46   0:01:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1445   4         0.001     1023       8.69      0:02:46   0:01:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1445   0         0.001     1023       8.69      0:02:46   0:01:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1446   0         0.001     1023       8.69      0:02:46   0:01:17   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1471   9         0.000     1023       8.84      0:02:46   0:01:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1446   4         0.001     1023       8.69      0:02:46   0:01:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1446   0         0.001     1023       8.69      0:02:46   0:01:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1446   0         0.001     1023       8.69      0:02:46   0:01:17   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1472   9         0.000     1023       8.84      0:02:46   0:01:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1447   4         0.001     1023       8.69      0:02:46   0:01:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1447   0         0.001     1023       8.69      0:02:46   0:01:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1447   0         0.001     1023       8.69      0:02:46   0:01:17   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1473   9         0.000     1023       8.84      0:02:46   0:01:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1448   4         0.001     1023       8.69      0:02:46   0:01:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1447   0         0.001     1023       8.69      0:02:46   0:01:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1448   0         0.001     1023       8.69      0:02:46   0:01:17   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1474   9         0.000     1023       8.83      0:02:46   0:01:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1449   4         0.001     1023       8.69      0:02:46   0:01:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1448   0         0.001     1023       8.68      0:02:46   0:01:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1449   0         0.001     1023       8.69      0:02:46   0:01:17   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1475   9         0.000     1023       8.83      0:02:47   0:01:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1450   4         0.001     1023       8.69      0:02:47   0:01:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1449   0         0.001     1023       8.68      0:02:46   0:01:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1450   0         0.001     1023       8.69      0:02:46   0:01:17   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1476   9         0.000     1023       8.83      0:02:47   0:01:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1451   4         0.001     1023       8.69      0:02:47   0:01:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1451   0         0.001     1023       8.68      0:02:47   0:01:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1451   0         0.001     1023       8.69      0:02:47   0:01:16   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1477   9         0.000     1023       8.84      0:02:47   0:01:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1453   4         0.001     1023       8.69      0:02:47   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1452   0         0.001     1023       8.68      0:02:47   0:01:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1453   0         0.001     1023       8.69      0:02:47   0:01:16   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1478   9         0.000     1023       8.84      0:02:47   0:01:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1454   4         0.001     1023       8.69      0:02:47   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1453   0         0.001     1023       8.69      0:02:47   0:01:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1454   0         0.001     1023       8.69      0:02:47   0:01:16   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1480   9         0.000     1023       8.84      0:02:47   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1455   4         0.001     1023       8.69      0:02:47   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1454   0         0.001     1023       8.69      0:02:47   0:01:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1455   0         0.001     1023       8.69      0:02:47   0:01:16   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1481   9         0.000     1023       8.84      0:02:47   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1456   4         0.001     1023       8.69      0:02:47   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1455   0         0.001     1023       8.69      0:02:47   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1456   0         0.001     1023       8.69      0:02:47   0:01:16   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1482   9         0.000     1023       8.84      0:02:47   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1457   4         0.001     1023       8.69      0:02:47   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1456   0         0.001     1023       8.69      0:02:47   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1457   0         0.001     1023       8.69      0:02:47   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1483   9         0.000     1023       8.84      0:02:47   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1458   4         0.001     1023       8.69      0:02:47   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1457   0         0.001     1023       8.69      0:02:47   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1459   0         0.001     1023       8.69      0:02:47   0:01:16   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1484   9         0.000     1023       8.83      0:02:48   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1459   4         0.001     1023       8.69      0:02:48   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1458   0         0.001     1023       8.68      0:02:48   0:01:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1459   0         0.001     1023       8.69      0:02:48   0:01:16   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1484   9         0.000     1023       8.83      0:02:48   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1460   4         0.001     1023       8.68      0:02:48   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1459   0         0.001     1023       8.68      0:02:48   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1460   0         0.001     1023       8.69      0:02:48   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1485   9         0.000     1023       8.83      0:02:48   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1461   4         0.001     1023       8.68      0:02:48   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1460   0         0.001     1023       8.68      0:02:48   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1461   0         0.001     1023       8.68      0:02:48   0:01:16   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1486   9         0.000     1023       8.83      0:02:48   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1462   4         0.001     1023       8.68      0:02:48   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1461   0         0.001     1023       8.68      0:02:48   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1462   0         0.001     1023       8.68      0:02:48   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1487   9         0.000     1023       8.83      0:02:48   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1462   4         0.001     1023       8.68      0:02:48   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1462   0         0.001     1023       8.68      0:02:48   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1463   0         0.001     1023       8.68      0:02:48   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1488   9         0.000     1023       8.83      0:02:48   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1463   4         0.001     1023       8.68      0:02:48   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1463   0         0.001     1023       8.68      0:02:48   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1464   0         0.001     1023       8.68      0:02:48   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1489   9         0.000     1023       8.83      0:02:48   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1464   4         0.001     1023       8.68      0:02:48   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1464   0         0.001     1023       8.68      0:02:48   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1465   0         0.001     1023       8.68      0:02:48   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1490   9         0.000     1023       8.82      0:02:48   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1465   4         0.001     1023       8.68      0:02:48   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1465   0         0.001     1023       8.68      0:02:48   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1466   0         0.001     1023       8.68      0:02:48   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1491   9         0.000     1023       8.83      0:02:49   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1466   4         0.001     1023       8.68      0:02:49   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1466   0         0.001     1023       8.68      0:02:49   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1467   0         0.001     1023       8.68      0:02:49   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1493   9         0.000     1023       8.83      0:02:49   0:01:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1467   4         0.001     1023       8.68      0:02:49   0:01:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1467   0         0.001     1023       8.68      0:02:49   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1468   0         0.001     1023       8.68      0:02:49   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1493   9         0.000     1023       8.83      0:02:49   0:01:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1468   4         0.001     1023       8.68      0:02:49   0:01:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1467   0         0.001     1023       8.68      0:02:49   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1468   0         0.001     1023       8.68      0:02:49   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1494   9         0.000     1023       8.82      0:02:49   0:01:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1468   4         0.001     1023       8.68      0:02:49   0:01:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1468   0         0.001     1023       8.67      0:02:49   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1468   0         0.001     1023       8.68      0:02:49   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1495   9         0.000     1023       8.82      0:02:49   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1469   4         0.001     1023       8.67      0:02:49   0:01:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1469   0         0.001     1023       8.67      0:02:49   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1470   0         0.001     1023       8.67      0:02:49   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1496   9         0.000     1023       8.81      0:02:49   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1470   4         0.001     1023       8.67      0:02:49   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1470   0         0.001     1023       8.66      0:02:49   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1471   0         0.001     1023       8.67      0:02:49   0:01:16   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1497   9         0.000     1023       8.81      0:02:49   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1471   4         0.001     1023       8.66      0:02:49   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1471   0         0.001     1023       8.66      0:02:49   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1472   0         0.001     1023       8.66      0:02:49   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1498   9         0.000     1023       8.81      0:02:50   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1472   4         0.001     1023       8.66      0:02:50   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1472   0         0.001     1023       8.66      0:02:49   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1472   0         0.001     1023       8.66      0:02:49   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1499   9         0.000     1023       8.81      0:02:50   0:01:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1474   4         0.001     1023       8.66      0:02:50   0:01:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1473   0         0.001     1023       8.66      0:02:50   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1474   0         0.001     1023       8.67      0:02:50   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1500   9         0.000     1023       8.81      0:02:50   0:01:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1475   4         0.001     1023       8.66      0:02:50   0:01:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1474   0         0.001     1023       8.66      0:02:50   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1475   0         0.001     1023       8.67      0:02:50   0:01:15   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1501   9         0.000     1023       8.81      0:02:50   0:01:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1476   4         0.001     1023       8.67      0:02:50   0:01:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1475   0         0.001     1023       8.66      0:02:50   0:01:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1476   0         0.001     1023       8.67      0:02:50   0:01:14   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1502   9         0.000     1023       8.81      0:02:50   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1477   4         0.001     1023       8.67      0:02:50   0:01:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1476   0         0.001     1023       8.66      0:02:50   0:01:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1477   0         0.001     1023       8.67      0:02:50   0:01:14   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1503   9         0.000     1023       8.81      0:02:50   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1478   4         0.001     1023       8.67      0:02:50   0:01:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1477   0         0.001     1023       8.66      0:02:50   0:01:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1478   0         0.001     1023       8.67      0:02:50   0:01:14   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1504   9         0.000     1023       8.82      0:02:50   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1478   4         0.001     1023       8.67      0:02:50   0:01:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1478   0         0.001     1023       8.66      0:02:50   0:01:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1478   0         0.001     1023       8.67      0:02:50   0:01:14   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1504   9         0.000     1023       8.82      0:02:50   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1479   4         0.001     1023       8.66      0:02:50   0:01:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1479   0         0.001     1023       8.66      0:02:50   0:01:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1479   0         0.001     1023       8.67      0:02:50   0:01:14   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1505   9         0.000     1023       8.81      0:02:50   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1480   4         0.001     1023       8.66      0:02:50   0:01:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1480   0         0.001     1023       8.66      0:02:50   0:01:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1480   0         0.001     1023       8.66      0:02:50   0:01:14   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1506   9         0.000     1023       8.81      0:02:51   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1480   4         0.001     1023       8.66      0:02:51   0:01:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1480   0         0.001     1023       8.66      0:02:51   0:01:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1480   0         0.001     1023       8.66      0:02:51   0:01:14   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1507   9         0.000     1023       8.81      0:02:51   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1482   4         0.001     1023       8.66      0:02:51   0:01:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1481   0         0.001     1023       8.65      0:02:51   0:01:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1481   0         0.001     1023       8.66      0:02:51   0:01:14   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1508   9         0.000     1023       8.81      0:02:51   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1483   4         0.001     1023       8.66      0:02:51   0:01:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1482   0         0.001     1023       8.66      0:02:51   0:01:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1483   0         0.001     1023       8.66      0:02:51   0:01:14   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1509   9         0.000     1023       8.81      0:02:51   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1484   4         0.001     1023       8.66      0:02:51   0:01:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1483   0         0.001     1023       8.66      0:02:51   0:01:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1484   0         0.001     1023       8.66      0:02:51   0:01:13   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1510   9         0.000     1023       8.81      0:02:51   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1485   4         0.001     1023       8.66      0:02:51   0:01:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1484   0         0.001     1023       8.66      0:02:51   0:01:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1485   0         0.001     1023       8.66      0:02:51   0:01:13   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1511   9         0.000     1023       8.81      0:02:51   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1486   4         0.001     1023       8.66      0:02:51   0:01:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1485   0         0.001     1023       8.66      0:02:51   0:01:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1486   0         0.001     1023       8.66      0:02:51   0:01:13   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1512   9         0.000     1023       8.81      0:02:51   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1487   4         0.001     1023       8.66      0:02:51   0:01:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1486   0         0.001     1023       8.66      0:02:51   0:01:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1487   0         0.001     1023       8.66      0:02:51   0:01:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1513   9         0.000     1023       8.81      0:02:51   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1487   4         0.001     1023       8.66      0:02:51   0:01:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1487   0         0.001     1023       8.66      0:02:51   0:01:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1487   0         0.001     1023       8.66      0:02:51   0:01:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1513   9         0.000     1023       8.81      0:02:51   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1488   4         0.001     1023       8.66      0:02:51   0:01:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1488   0         0.001     1023       8.65      0:02:51   0:01:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1488   0         0.001     1023       8.66      0:02:51   0:01:13   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1514   9         0.000     1023       8.80      0:02:52   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1489   4         0.001     1023       8.66      0:02:52   0:01:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1488   0         0.001     1023       8.65      0:02:52   0:01:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1489   0         0.001     1023       8.66      0:02:52   0:01:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1515   9         0.000     1023       8.80      0:02:52   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1491   5         0.001     1023       8.66      0:02:52   0:01:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1489   0         0.001     1023       8.65      0:02:52   0:01:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1490   0         0.001     1023       8.65      0:02:52   0:01:13   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1516   9         0.000     1023       8.80      0:02:52   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1492   5         0.001     1023       8.66      0:02:52   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1490   0         0.001     1023       8.65      0:02:52   0:01:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1491   0         0.001     1023       8.65      0:02:52   0:01:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1517   9         0.000     1023       8.79      0:02:52   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1493   5         0.001     1023       8.65      0:02:52   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1491   0         0.001     1023       8.64      0:02:52   0:01:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1491   0         0.001     1023       8.65      0:02:52   0:01:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1518   9         0.000     1023       8.79      0:02:52   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1493   5         0.001     1023       8.65      0:02:52   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1492   0         0.001     1023       8.64      0:02:52   0:01:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1492   0         0.001     1023       8.65      0:02:52   0:01:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1518   9         0.000     1023       8.79      0:02:52   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1495   5         0.001     1023       8.65      0:02:52   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1493   0         0.001     1023       8.64      0:02:52   0:01:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1493   0         0.001     1023       8.65      0:02:52   0:01:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1519   9         0.000     1023       8.79      0:02:52   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1496   5         0.001     1023       8.65      0:02:52   0:01:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1494   0         0.001     1023       8.64      0:02:52   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1494   0         0.001     1023       8.65      0:02:52   0:01:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1521   9         0.000     1023       8.79      0:02:53   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1497   5         0.001     1023       8.65      0:02:52   0:01:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1495   0         0.001     1023       8.64      0:02:52   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1496   0         0.001     1023       8.65      0:02:52   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1522   9         0.000     1023       8.79      0:02:53   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1498   5         0.001     1023       8.66      0:02:53   0:01:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1496   0         0.001     1023       8.64      0:02:53   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1497   0         0.001     1023       8.65      0:02:53   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1523   9         0.000     1023       8.79      0:02:53   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1499   5         0.001     1023       8.66      0:02:53   0:01:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1497   0         0.001     1023       8.65      0:02:53   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1498   0         0.001     1023       8.65      0:02:53   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1524   9         0.000     1023       8.80      0:02:53   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1500   5         0.001     1023       8.66      0:02:53   0:01:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1498   0         0.001     1023       8.65      0:02:53   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1499   0         0.001     1023       8.65      0:02:53   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1525   9         0.000     1023       8.79      0:02:53   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1501   5         0.001     1023       8.66      0:02:53   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1499   0         0.001     1023       8.65      0:02:53   0:01:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1500   0         0.001     1023       8.65      0:02:53   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1525   9         0.000     1023       8.79      0:02:53   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1502   5         0.001     1023       8.66      0:02:53   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1500   0         0.001     1023       8.65      0:02:53   0:01:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1500   0         0.001     1023       8.65      0:02:53   0:01:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1526   9         0.000     1023       8.79      0:02:53   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1502   5         0.001     1023       8.66      0:02:53   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1501   0         0.001     1023       8.64      0:02:53   0:01:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1501   0         0.001     1023       8.65      0:02:53   0:01:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1527   9         0.000     1023       8.79      0:02:53   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1503   5         0.001     1023       8.65      0:02:53   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1501   0         0.001     1023       8.64      0:02:53   0:01:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1502   0         0.001     1023       8.65      0:02:53   0:01:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1528   9         0.000     1023       8.79      0:02:53   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1504   5         0.001     1023       8.65      0:02:53   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1502   0         0.001     1023       8.64      0:02:53   0:01:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1503   0         0.001     1023       8.65      0:02:53   0:01:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1529   9         0.000     1023       8.78      0:02:54   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1505   5         0.001     1023       8.65      0:02:54   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1503   0         0.001     1023       8.64      0:02:54   0:01:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1503   0         0.001     1023       8.65      0:02:54   0:01:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1530   9         0.000     1023       8.78      0:02:54   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1506   5         0.001     1023       8.65      0:02:54   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1504   0         0.001     1023       8.64      0:02:54   0:01:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1505   0         0.001     1023       8.64      0:02:54   0:01:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1531   9         0.000     1023       8.79      0:02:54   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1507   5         0.001     1023       8.65      0:02:54   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1505   0         0.001     1023       8.64      0:02:54   0:01:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1506   0         0.001     1023       8.64      0:02:54   0:01:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1532   9         0.000     1023       8.79      0:02:54   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1508   5         0.001     1023       8.65      0:02:54   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1506   0         0.001     1023       8.64      0:02:54   0:01:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1507   0         0.001     1023       8.64      0:02:54   0:01:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1533   9         0.000     1023       8.79      0:02:54   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1509   5         0.001     1023       8.65      0:02:54   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1507   0         0.001     1023       8.64      0:02:54   0:01:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1508   0         0.001     1023       8.64      0:02:54   0:01:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1534   9         0.000     1023       8.79      0:02:54   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1510   5         0.001     1023       8.65      0:02:54   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1508   0         0.001     1023       8.64      0:02:54   0:01:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1509   0         0.001     1023       8.64      0:02:54   0:01:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1535   9         0.000     1023       8.79      0:02:54   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1511   5         0.001     1023       8.65      0:02:54   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1509   0         0.001     1023       8.64      0:02:54   0:01:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1510   0         0.001     1023       8.64      0:02:54   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1536   9         0.000     1023       8.79      0:02:54   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1512   5         0.001     1023       8.65      0:02:54   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1510   0         0.001     1023       8.64      0:02:54   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1511   0         0.001     1023       8.64      0:02:54   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1537   9         0.000     1023       8.79      0:02:54   0:01:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1513   5         0.001     1023       8.65      0:02:54   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1511   0         0.001     1023       8.64      0:02:54   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1511   0         0.001     1023       8.64      0:02:54   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1538   9         0.000     1023       8.78      0:02:55   0:01:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1514   5         0.001     1023       8.65      0:02:55   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1512   0         0.001     1023       8.64      0:02:55   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1512   0         0.001     1023       8.64      0:02:55   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1539   9         0.000     1023       8.79      0:02:55   0:01:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1515   5         0.001     1023       8.65      0:02:55   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1513   0         0.001     1023       8.64      0:02:55   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1514   0         0.001     1023       8.64      0:02:55   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1539   9         0.000     1023       8.79      0:02:55   0:01:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1515   5         0.001     1023       8.65      0:02:55   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1514   0         0.001     1023       8.64      0:02:55   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1514   0         0.001     1023       8.64      0:02:55   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1540   9         0.000     1023       8.78      0:02:55   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1516   5         0.001     1023       8.64      0:02:55   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1515   0         0.001     1023       8.64      0:02:55   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1515   0         0.001     1023       8.64      0:02:55   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1542   9         0.000     1023       8.78      0:02:55   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1517   5         0.001     1023       8.64      0:02:55   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1516   0         0.001     1023       8.64      0:02:55   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1517   0         0.001     1023       8.64      0:02:55   0:01:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1543   9         0.000     1023       8.79      0:02:55   0:01:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1518   5         0.001     1023       8.65      0:02:55   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1517   0         0.001     1023       8.64      0:02:55   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1518   0         0.001     1023       8.64      0:02:55   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1544   9         0.000     1023       8.79      0:02:55   0:01:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1519   5         0.001     1023       8.65      0:02:55   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1518   0         0.001     1023       8.64      0:02:55   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1519   0         0.001     1023       8.64      0:02:55   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1545   9         0.000     1023       8.79      0:02:55   0:01:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1521   5         0.001     1023       8.65      0:02:55   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1520   0         0.001     1023       8.64      0:02:55   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1520   0         0.001     1023       8.65      0:02:55   0:01:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1547   9         0.000     1023       8.79      0:02:56   0:01:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1522   5         0.001     1023       8.65      0:02:55   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1521   0         0.001     1023       8.64      0:02:55   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1521   0         0.001     1023       8.65      0:02:55   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1548   9         0.000     1023       8.79      0:02:56   0:01:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1523   5         0.001     1023       8.65      0:02:56   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1522   0         0.001     1023       8.64      0:02:56   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1523   0         0.001     1023       8.65      0:02:56   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1549   9         0.000     1023       8.79      0:02:56   0:01:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1524   5         0.001     1023       8.65      0:02:56   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1523   0         0.001     1023       8.64      0:02:56   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1524   0         0.001     1023       8.65      0:02:56   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1550   9         0.000     1023       8.79      0:02:56   0:01:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1525   5         0.001     1023       8.65      0:02:56   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1524   0         0.001     1023       8.64      0:02:56   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1525   0         0.001     1023       8.65      0:02:56   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1550   9         0.000     1023       8.79      0:02:56   0:01:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1526   5         0.001     1023       8.65      0:02:56   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1524   0         0.001     1023       8.64      0:02:56   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1525   0         0.001     1023       8.65      0:02:56   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1551   9         0.000     1023       8.79      0:02:56   0:01:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1527   5         0.001     1023       8.65      0:02:56   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1525   0         0.001     1023       8.64      0:02:56   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1526   0         0.001     1023       8.65      0:02:56   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1551   9         0.000     1023       8.79      0:02:56   0:01:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1528   5         0.001     1023       8.65      0:02:56   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1526   0         0.001     1023       8.64      0:02:56   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1527   0         0.001     1023       8.65      0:02:56   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1552   9         0.000     1023       8.78      0:02:56   0:01:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1528   5         0.001     1023       8.65      0:02:56   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1526   0         0.001     1023       8.64      0:02:56   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1527   0         0.001     1023       8.65      0:02:56   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1552   9         0.000     1023       8.78      0:02:56   0:01:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1528   5         0.001     1023       8.65      0:02:56   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1526   0         0.001     1023       8.64      0:02:56   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1528   0         0.001     1023       8.64      0:02:56   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1553   9         0.000     1023       8.77      0:02:57   0:01:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1529   5         0.001     1023       8.64      0:02:57   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1527   0         0.001     1023       8.63      0:02:57   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1528   0         0.001     1023       8.64      0:02:57   0:01:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1554   9         0.000     1023       8.77      0:02:57   0:01:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1530   5         0.001     1023       8.64      0:02:57   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1528   0         0.001     1023       8.62      0:02:57   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1529   0         0.001     1023       8.63      0:02:57   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1555   9         0.000     1023       8.77      0:02:57   0:01:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1531   5         0.001     1023       8.64      0:02:57   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1529   0         0.001     1023       8.63      0:02:57   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1530   0         0.001     1023       8.63      0:02:57   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1556   9         0.000     1023       8.77      0:02:57   0:01:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1532   5         0.001     1023       8.64      0:02:57   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1530   0         0.001     1023       8.63      0:02:57   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1531   0         0.001     1023       8.63      0:02:57   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1558   9         0.000     1023       8.78      0:02:57   0:01:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1533   5         0.001     1023       8.64      0:02:57   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1531   0         0.001     1023       8.63      0:02:57   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1532   0         0.001     1023       8.63      0:02:57   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1559   9         0.000     1023       8.78      0:02:57   0:01:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1534   5         0.001     1023       8.64      0:02:57   0:01:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1532   0         0.001     1023       8.63      0:02:57   0:01:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1533   0         0.001     1023       8.63      0:02:57   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1559   9         0.000     1023       8.78      0:02:57   0:01:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1535   5         0.001     1023       8.64      0:02:57   0:01:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1533   0         0.001     1023       8.63      0:02:57   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1534   0         0.001     1023       8.64      0:02:57   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1560   9         0.000     1023       8.77      0:02:57   0:01:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1536   5         0.001     1023       8.64      0:02:57   0:01:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1534   0         0.001     1023       8.63      0:02:57   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1535   0         0.001     1023       8.63      0:02:57   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1561   9         0.000     1023       8.77      0:02:58   0:01:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1537   5         0.001     1023       8.63      0:02:58   0:01:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1535   0         0.001     1023       8.62      0:02:58   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1536   0         0.001     1023       8.63      0:02:58   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1562   9         0.000     1023       8.77      0:02:58   0:01:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1538   5         0.001     1023       8.63      0:02:58   0:01:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1536   0         0.001     1023       8.62      0:02:58   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1537   0         0.001     1023       8.63      0:02:58   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1563   9         0.000     1023       8.77      0:02:58   0:01:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1538   5         0.001     1023       8.63      0:02:58   0:01:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1537   0         0.001     1023       8.62      0:02:58   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1538   0         0.001     1023       8.63      0:02:58   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1564   9         0.000     1023       8.77      0:02:58   0:01:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1539   5         0.001     1023       8.63      0:02:58   0:01:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1537   0         0.001     1023       8.62      0:02:58   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1539   0         0.001     1023       8.63      0:02:58   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1565   9         0.000     1023       8.77      0:02:58   0:01:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1540   5         0.001     1023       8.63      0:02:58   0:01:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1539   0         0.001     1023       8.62      0:02:58   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1540   0         0.001     1023       8.63      0:02:58   0:01:04   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1566   9         0.000     1023       8.77      0:02:58   0:01:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1541   5         0.001     1023       8.63      0:02:58   0:01:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1539   0         0.001     1023       8.62      0:02:58   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1541   0         0.001     1023       8.63      0:02:58   0:01:04   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1567   9         0.000     1023       8.77      0:02:58   0:01:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1542   5         0.001     1023       8.63      0:02:58   0:01:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1540   0         0.001     1023       8.62      0:02:58   0:01:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1542   0         0.001     1023       8.63      0:02:58   0:01:04   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1568   9         0.000     1023       8.77      0:02:58   0:01:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1543   5         0.001     1023       8.63      0:02:58   0:01:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1541   0         0.001     1023       8.62      0:02:58   0:01:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1543   0         0.001     1023       8.63      0:02:58   0:01:04   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1569   9         0.000     1023       8.77      0:02:59   0:01:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1544   5         0.001     1023       8.63      0:02:58   0:01:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1542   0         0.001     1023       8.62      0:02:58   0:01:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1544   0         0.001     1023       8.63      0:02:58   0:01:04   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1570   9         0.000     1023       8.77      0:02:59   0:01:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1545   5         0.001     1023       8.63      0:02:59   0:01:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1543   0         0.001     1023       8.62      0:02:59   0:01:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1545   0         0.001     1023       8.63      0:02:59   0:01:04   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1571   9         0.000     1023       8.77      0:02:59   0:01:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1546   5         0.001     1023       8.63      0:02:59   0:01:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1544   0         0.001     1023       8.62      0:02:59   0:01:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1546   0         0.001     1023       8.63      0:02:59   0:01:04   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1572   9         0.000     1023       8.77      0:02:59   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1547   5         0.001     1023       8.63      0:02:59   0:01:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1545   0         0.001     1023       8.62      0:02:59   0:01:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1546   0         0.001     1023       8.63      0:02:59   0:01:04   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1572   9         0.000     1023       8.77      0:02:59   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1548   5         0.001     1023       8.63      0:02:59   0:01:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1546   0         0.001     1023       8.62      0:02:59   0:01:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1547   0         0.001     1023       8.63      0:02:59   0:01:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1573   9         0.000     1023       8.76      0:02:59   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1548   5         0.001     1023       8.63      0:02:59   0:01:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1547   0         0.001     1023       8.62      0:02:59   0:01:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1548   0         0.001     1023       8.62      0:02:59   0:01:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1574   9         0.000     1023       8.76      0:02:59   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1549   5         0.001     1023       8.62      0:02:59   0:01:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1547   0         0.001     1023       8.62      0:02:59   0:01:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1548   0         0.001     1023       8.62      0:02:59   0:01:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1574   9         0.000     1023       8.76      0:02:59   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1550   5         0.001     1023       8.62      0:02:59   0:01:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1548   0         0.001     1023       8.61      0:02:59   0:01:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1549   0         0.001     1023       8.62      0:02:59   0:01:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1575   9         0.000     1023       8.76      0:02:59   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1550   5         0.001     1023       8.62      0:02:59   0:01:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1548   0         0.001     1023       8.61      0:02:59   0:01:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1549   0         0.001     1023       8.62      0:02:59   0:01:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1576   9         0.000     1023       8.75      0:03:00   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1551   5         0.001     1023       8.62      0:03:00   0:01:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1549   0         0.001     1023       8.61      0:03:00   0:01:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1550   0         0.001     1023       8.61      0:03:00   0:01:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1577   9         0.000     1023       8.75      0:03:00   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1552   5         0.001     1023       8.62      0:03:00   0:01:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1550   0         0.001     1023       8.61      0:03:00   0:01:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1551   0         0.001     1023       8.61      0:03:00   0:01:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1577   9         0.000     1023       8.75      0:03:00   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1552   5         0.001     1023       8.62      0:03:00   0:01:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1551   0         0.001     1023       8.61      0:03:00   0:01:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1552   0         0.001     1023       8.61      0:03:00   0:01:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1578   9         0.000     1023       8.75      0:03:00   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1553   5         0.001     1023       8.61      0:03:00   0:01:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1551   0         0.001     1023       8.61      0:03:00   0:01:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1552   0         0.001     1023       8.61      0:03:00   0:01:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1579   9         0.000     1023       8.75      0:03:00   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1554   5         0.001     1023       8.61      0:03:00   0:01:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1552   0         0.001     1023       8.60      0:03:00   0:01:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1553   0         0.001     1023       8.61      0:03:00   0:01:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1579   9         0.000     1023       8.75      0:03:00   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1554   5         0.001     1023       8.61      0:03:00   0:01:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1553   0         0.001     1023       8.60      0:03:00   0:01:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1554   0         0.001     1023       8.61      0:03:00   0:01:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1580   9         0.000     1023       8.74      0:03:00   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1555   5         0.001     1023       8.60      0:03:00   0:01:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1553   0         0.001     1023       8.60      0:03:00   0:01:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1554   0         0.001     1023       8.61      0:03:00   0:01:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1581   9         0.000     1023       8.74      0:03:00   0:00:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1557   5         0.001     1023       8.61      0:03:00   0:01:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1554   0         0.001     1023       8.59      0:03:00   0:01:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1555   0         0.001     1023       8.60      0:03:00   0:01:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1582   10        0.000     874        8.74      0:03:01   0:00:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1558   5         0.001     1023       8.61      0:03:01   0:01:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1555   0         0.001     1023       8.60      0:03:00   0:01:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1556   0         0.001     1023       8.60      0:03:00   0:01:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1583   10        0.000     1023       8.74      0:03:01   0:00:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1559   5         0.001     1023       8.61      0:03:01   0:01:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1556   0         0.001     1023       8.60      0:03:01   0:01:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1557   0         0.001     1023       8.60      0:03:01   0:01:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1584   10        0.000     1023       8.74      0:03:01   0:00:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1560   5         0.001     1023       8.61      0:03:01   0:01:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1557   0         0.001     1023       8.60      0:03:01   0:01:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1559   0         0.001     1023       8.60      0:03:01   0:01:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1586   10        0.000     1023       8.75      0:03:01   0:00:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1561   5         0.001     1023       8.61      0:03:01   0:01:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1559   0         0.001     1023       8.60      0:03:01   0:01:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1560   0         0.001     1023       8.60      0:03:01   0:01:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1587   10        0.000     1023       8.75      0:03:01   0:00:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1562   5         0.001     1023       8.61      0:03:01   0:01:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1560   0         0.001     1023       8.60      0:03:01   0:01:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1561   0         0.001     1023       8.61      0:03:01   0:01:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1588   10        0.000     1023       8.75      0:03:01   0:00:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1563   5         0.001     1023       8.61      0:03:01   0:01:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1561   0         0.001     1023       8.60      0:03:01   0:01:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1562   0         0.001     1023       8.61      0:03:01   0:01:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1589   10        0.000     1023       8.75      0:03:01   0:00:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1564   5         0.001     1023       8.61      0:03:01   0:01:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1562   0         0.001     1023       8.60      0:03:01   0:01:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1563   0         0.001     1023       8.61      0:03:01   0:01:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1589   10        0.000     1023       8.75      0:03:01   0:00:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1565   5         0.001     1023       8.61      0:03:01   0:01:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1562   0         0.001     1023       8.60      0:03:01   0:01:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1564   0         0.001     1023       8.60      0:03:01   0:01:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1591   10        0.000     1023       8.74      0:03:02   0:00:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1566   5         0.001     1023       8.61      0:03:02   0:01:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1564   0         0.001     1023       8.59      0:03:02   0:01:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1565   0         0.001     1023       8.60      0:03:02   0:01:00   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1592   10        0.000     1023       8.74      0:03:02   0:00:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1567   5         0.001     1023       8.61      0:03:02   0:01:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1565   0         0.001     1023       8.59      0:03:02   0:01:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1566   0         0.001     1023       8.60      0:03:02   0:01:00   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1593   10        0.000     1023       8.74      0:03:02   0:00:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1568   5         0.001     1023       8.61      0:03:02   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1566   0         0.001     1023       8.59      0:03:02   0:01:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1567   0         0.001     1023       8.60      0:03:02   0:01:00   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1594   10        0.000     1023       8.74      0:03:02   0:00:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1569   5         0.001     1023       8.61      0:03:02   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1567   0         0.001     1023       8.59      0:03:02   0:01:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1568   0         0.001     1023       8.60      0:03:02   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1595   10        0.000     1023       8.74      0:03:02   0:00:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1570   5         0.001     1023       8.61      0:03:02   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1568   0         0.001     1023       8.59      0:03:02   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1569   0         0.001     1023       8.60      0:03:02   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1596   10        0.000     1023       8.74      0:03:02   0:00:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1571   5         0.001     1023       8.61      0:03:02   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1569   0         0.001     1023       8.59      0:03:02   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1570   0         0.001     1023       8.60      0:03:02   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1597   10        0.000     1023       8.74      0:03:02   0:00:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1572   5         0.001     1023       8.61      0:03:02   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1570   0         0.001     1023       8.59      0:03:02   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1571   0         0.001     1023       8.60      0:03:02   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1597   10        0.000     1023       8.74      0:03:02   0:00:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1573   5         0.001     1023       8.61      0:03:02   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1570   0         0.001     1023       8.59      0:03:02   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1572   0         0.001     1023       8.60      0:03:02   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1598   10        0.000     1023       8.74      0:03:02   0:00:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1574   5         0.001     1023       8.61      0:03:02   0:00:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m   1571   0         0.001     1023       8.59      0:03:02   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1572   0         0.001     1023       8.60      0:03:02   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1599   10        0.000     1023       8.73      0:03:03   0:00:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1575   5         0.001     1023       8.60      0:03:03   0:00:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1572   0         0.001     1023       8.59      0:03:03   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1573   0         0.001     1023       8.60      0:03:03   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1600   10        0.000     1023       8.73      0:03:03   0:00:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1575   5         0.001     1023       8.60      0:03:03   0:00:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1573   0         0.001     1023       8.59      0:03:03   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1574   0         0.001     1023       8.59      0:03:03   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1600   10        0.000     1023       8.73      0:03:03   0:00:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1576   5         0.001     1023       8.60      0:03:03   0:00:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1573   0         0.001     1023       8.59      0:03:03   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1574   0         0.001     1023       8.59      0:03:03   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1601   10        0.000     1023       8.73      0:03:03   0:00:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1577   5         0.001     1023       8.60      0:03:03   0:00:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1574   0         0.001     1023       8.58      0:03:03   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1575   0         0.001     1023       8.59      0:03:03   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1602   10        0.000     1023       8.73      0:03:03   0:00:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1577   5         0.001     1023       8.60      0:03:03   0:00:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1575   0         0.001     1023       8.58      0:03:03   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1576   0         0.001     1023       8.59      0:03:03   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1603   10        0.000     1023       8.73      0:03:03   0:00:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1578   5         0.001     1023       8.60      0:03:03   0:00:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1576   0         0.001     1023       8.58      0:03:03   0:00:59   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1577   0         0.001     1023       8.59      0:03:03   0:00:58   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1604   10        0.000     1023       8.73      0:03:03   0:00:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1579   5         0.001     1023       8.60      0:03:03   0:00:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1577   0         0.001     1023       8.58      0:03:03   0:00:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1578   0         0.001     1023       8.59      0:03:03   0:00:58   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1605   10        0.000     1023       8.73      0:03:03   0:00:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1581   5         0.001     1023       8.60      0:03:03   0:00:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1579   0         0.001     1023       8.59      0:03:03   0:00:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1580   0         0.001     1023       8.59      0:03:03   0:00:58   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1607   10        0.000     1023       8.73      0:03:04   0:00:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1582   5         0.001     1023       8.60      0:03:04   0:00:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1580   0         0.001     1023       8.59      0:03:04   0:00:58   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1581   0         0.001     1023       8.59      0:03:04   0:00:57   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1608   10        0.000     1023       8.73      0:03:04   0:00:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1583   5         0.001     1023       8.60      0:03:04   0:00:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1581   0         0.001     1023       8.59      0:03:04   0:00:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1582   0         0.001     1023       8.59      0:03:04   0:00:57   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1609   10        0.000     1023       8.73      0:03:04   0:00:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1584   5         0.001     1023       8.60      0:03:04   0:00:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1582   0         0.001     1023       8.59      0:03:04   0:00:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1583   0         0.001     1023       8.59      0:03:04   0:00:57   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1610   10        0.000     1023       8.73      0:03:04   0:00:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1585   5         0.001     1023       8.59      0:03:04   0:00:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1583   0         0.001     1023       8.58      0:03:04   0:00:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1584   0         0.001     1023       8.59      0:03:04   0:00:57   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1611   10        0.000     1023       8.72      0:03:04   0:00:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1586   5         0.001     1023       8.59      0:03:04   0:00:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1584   0         0.001     1023       8.58      0:03:04   0:00:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1585   0         0.001     1023       8.59      0:03:04   0:00:56   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1611   10        0.000     1023       8.72      0:03:04   0:00:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1586   5         0.001     1023       8.59      0:03:04   0:00:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1584   0         0.001     1023       8.58      0:03:04   0:00:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1585   0         0.001     1023       8.59      0:03:04   0:00:56   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1612   10        0.000     1023       8.72      0:03:04   0:00:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1587   5         0.001     1023       8.59      0:03:04   0:00:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1585   0         0.001     1023       8.58      0:03:04   0:00:57   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1586   0         0.001     1023       8.58      0:03:04   0:00:57   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1613   10        0.000     1023       8.72      0:03:04   0:00:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1588   5         0.001     1023       8.59      0:03:04   0:00:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1586   0         0.001     1023       8.58      0:03:04   0:00:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1587   0         0.001     1023       8.58      0:03:04   0:00:56   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1614   10        0.000     1023       8.72      0:03:05   0:00:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1589   5         0.001     1023       8.59      0:03:05   0:00:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1587   0         0.001     1023       8.58      0:03:05   0:00:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1588   0         0.001     1023       8.58      0:03:05   0:00:56   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1615   10        0.000     1023       8.72      0:03:05   0:00:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1591   5         0.001     1023       8.59      0:03:05   0:00:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1588   0         0.001     1023       8.58      0:03:05   0:00:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1589   0         0.001     1023       8.58      0:03:05   0:00:56   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1616   10        0.000     1023       8.72      0:03:05   0:00:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1591   5         0.001     1023       8.59      0:03:05   0:00:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1589   0         0.001     1023       8.58      0:03:05   0:00:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1590   0         0.001     1023       8.58      0:03:05   0:00:56   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1617   10        0.000     1023       8.72      0:03:05   0:00:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1592   5         0.001     1023       8.59      0:03:05   0:00:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1590   0         0.001     1023       8.58      0:03:05   0:00:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1591   0         0.001     1023       8.58      0:03:05   0:00:56   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1618   10        0.000     1023       8.72      0:03:05   0:00:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1593   5         0.001     1023       8.59      0:03:05   0:00:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1591   0         0.001     1023       8.58      0:03:05   0:00:56   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1592   0         0.001     1023       8.58      0:03:05   0:00:55   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1620   11        0.000     1023       8.73      0:03:05   0:00:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1594   5         0.001     1023       8.59      0:03:05   0:00:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1592   0         0.001     1023       8.58      0:03:05   0:00:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1593   0         0.001     1023       8.58      0:03:05   0:00:55   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1620   11        0.000     1023       8.73      0:03:05   0:00:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1595   5         0.001     1023       8.59      0:03:05   0:00:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1593   0         0.001     1023       8.58      0:03:05   0:00:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1594   0         0.001     1023       8.58      0:03:05   0:00:55   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1621   11        0.000     1023       8.72      0:03:05   0:00:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1596   5         0.001     1023       8.59      0:03:05   0:00:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1594   0         0.001     1023       8.57      0:03:05   0:00:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1595   0         0.001     1023       8.58      0:03:05   0:00:55   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1622   11        0.000     767        8.72      0:03:06   0:00:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1597   5         0.001     1023       8.58      0:03:06   0:00:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1594   0         0.001     1023       8.57      0:03:06   0:00:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1596   0         0.001     1023       8.58      0:03:06   0:00:54   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1623   11        0.000     1023       8.72      0:03:06   0:00:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1597   5         0.001     1023       8.58      0:03:06   0:00:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1595   0         0.001     1023       8.57      0:03:06   0:00:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1596   0         0.001     1023       8.58      0:03:06   0:00:54   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1623   11        0.000     1023       8.72      0:03:06   0:00:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1598   5         0.001     1023       8.58      0:03:06   0:00:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1596   0         0.001     1023       8.57      0:03:06   0:00:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1597   0         0.001     1023       8.57      0:03:06   0:00:54   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1624   11        0.000     1023       8.71      0:03:06   0:00:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1599   5         0.001     1023       8.58      0:03:06   0:00:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1597   0         0.001     1023       8.57      0:03:06   0:00:55   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1598   0         0.001     1023       8.57      0:03:06   0:00:54   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1625   11        0.000     1023       8.71      0:03:06   0:00:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1600   5         0.001     1023       8.58      0:03:06   0:00:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1598   0         0.001     1023       8.57      0:03:06   0:00:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1599   0         0.001     1023       8.57      0:03:06   0:00:54   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1626   11        0.000     1023       8.71      0:03:06   0:00:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1601   5         0.001     1023       8.58      0:03:06   0:00:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1599   0         0.001     1023       8.57      0:03:06   0:00:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1600   0         0.001     1023       8.57      0:03:06   0:00:54   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1627   11        0.000     1023       8.71      0:03:06   0:00:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1602   5         0.001     1023       8.58      0:03:06   0:00:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1600   0         0.001     1023       8.57      0:03:06   0:00:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1601   0         0.001     1023       8.57      0:03:06   0:00:54   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1628   11        0.000     1023       8.71      0:03:06   0:00:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1603   5         0.001     1023       8.58      0:03:06   0:00:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1601   0         0.001     1023       8.57      0:03:06   0:00:54   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1602   0         0.001     1023       8.57      0:03:06   0:00:53   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1630   11        0.000     1023       8.72      0:03:07   0:00:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1604   5         0.001     1023       8.58      0:03:07   0:00:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1602   0         0.001     1023       8.57      0:03:07   0:00:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1603   0         0.001     1023       8.57      0:03:07   0:00:53   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1631   11        0.000     1023       8.72      0:03:07   0:00:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1605   5         0.001     1023       8.58      0:03:07   0:00:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1603   0         0.001     1023       8.57      0:03:07   0:00:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1604   0         0.001     1023       8.57      0:03:07   0:00:53   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1632   11        0.000     1023       8.72      0:03:07   0:00:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1606   5         0.001     1023       8.58      0:03:07   0:00:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1604   0         0.001     1023       8.57      0:03:07   0:00:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1605   0         0.001     1023       8.57      0:03:07   0:00:53   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1632   11        0.000     1023       8.72      0:03:07   0:00:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1607   5         0.001     1023       8.58      0:03:07   0:00:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1605   0         0.001     1023       8.57      0:03:07   0:00:53   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1606   0         0.001     1023       8.57      0:03:07   0:00:53   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1633   11        0.000     1023       8.71      0:03:07   0:00:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1608   5         0.001     1023       8.57      0:03:07   0:00:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1606   0         0.001     1023       8.56      0:03:07   0:00:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1606   0         0.001     1023       8.57      0:03:07   0:00:53   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1634   11        0.000     1023       8.71      0:03:07   0:00:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1609   5         0.001     1023       8.57      0:03:07   0:00:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1607   0         0.001     1023       8.56      0:03:07   0:00:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1607   0         0.001     1023       8.57      0:03:07   0:00:52   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1634   11        0.000     1023       8.71      0:03:07   0:00:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1609   5         0.001     1023       8.57      0:03:07   0:00:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1607   0         0.001     1023       8.56      0:03:07   0:00:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1608   0         0.001     1023       8.56      0:03:07   0:00:52   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1635   11        0.000     1023       8.70      0:03:07   0:00:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1610   5         0.001     1023       8.57      0:03:07   0:00:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1608   0         0.001     1023       8.56      0:03:07   0:00:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1608   0         0.001     1023       8.56      0:03:07   0:00:52   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1636   11        0.000     1023       8.70      0:03:08   0:00:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1611   5         0.001     1023       8.57      0:03:08   0:00:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1609   0         0.001     1023       8.56      0:03:08   0:00:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1609   0         0.001     1023       8.56      0:03:08   0:00:52   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1637   11        0.000     1023       8.70      0:03:08   0:00:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1612   5         0.001     1023       8.57      0:03:08   0:00:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1610   0         0.001     1023       8.56      0:03:08   0:00:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1610   0         0.001     1023       8.56      0:03:08   0:00:52   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1637   11        0.000     1023       8.70      0:03:08   0:00:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1612   5         0.001     1023       8.57      0:03:08   0:00:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1611   0         0.001     1023       8.55      0:03:08   0:00:52   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1611   0         0.001     1023       8.56      0:03:08   0:00:52   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1639   11        0.000     1023       8.70      0:03:08   0:00:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1613   5         0.001     1023       8.56      0:03:08   0:00:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1612   0         0.001     1023       8.55      0:03:08   0:00:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1612   0         0.001     1023       8.56      0:03:08   0:00:52   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1639   11        0.000     1023       8.70      0:03:08   0:00:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1614   5         0.001     1023       8.56      0:03:08   0:00:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1612   0         0.001     1023       8.55      0:03:08   0:00:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1613   0         0.001     1023       8.56      0:03:08   0:00:51   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1640   11        0.000     1023       8.69      0:03:08   0:00:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1615   5         0.001     1023       8.56      0:03:08   0:00:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1613   0         0.001     1023       8.55      0:03:08   0:00:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1614   0         0.001     1023       8.56      0:03:08   0:00:51   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1641   11        0.000     1023       8.69      0:03:08   0:00:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1616   5         0.001     1023       8.56      0:03:08   0:00:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1614   0         0.001     1023       8.55      0:03:08   0:00:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1615   0         0.001     1023       8.56      0:03:08   0:00:51   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1642   11        0.000     1023       8.69      0:03:08   0:00:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1616   5         0.001     1023       8.56      0:03:08   0:00:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1615   0         0.001     1023       8.55      0:03:08   0:00:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1616   0         0.001     1023       8.55      0:03:08   0:00:51   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1643   11        0.000     1023       8.69      0:03:09   0:00:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1617   5         0.001     1023       8.56      0:03:09   0:00:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1615   0         0.001     1023       8.55      0:03:09   0:00:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1616   0         0.001     1023       8.55      0:03:09   0:00:51   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1644   11        0.000     1023       8.69      0:03:09   0:00:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1618   5         0.001     1023       8.56      0:03:09   0:00:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1616   0         0.001     1023       8.55      0:03:09   0:00:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1617   0         0.001     1023       8.55      0:03:09   0:00:51   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1644   11        0.000     1023       8.69      0:03:09   0:00:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1619   5         0.001     1023       8.56      0:03:09   0:00:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1617   0         0.001     1023       8.55      0:03:09   0:00:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1618   0         0.001     1023       8.55      0:03:09   0:00:51   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1645   11        0.000     1023       8.69      0:03:09   0:00:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1620   5         0.001     1023       8.56      0:03:09   0:00:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1618   0         0.001     1023       8.55      0:03:09   0:00:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1619   0         0.001     1023       8.55      0:03:09   0:00:51   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1646   11        0.000     1023       8.69      0:03:09   0:00:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1621   5         0.001     1023       8.56      0:03:09   0:00:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1619   0         0.001     1023       8.55      0:03:09   0:00:51   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1620   0         0.001     1023       8.55      0:03:09   0:00:51   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1647   11        0.000     1023       8.69      0:03:09   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1622   5         0.001     1023       8.56      0:03:09   0:00:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1620   0         0.001     1023       8.55      0:03:09   0:00:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1621   0         0.001     1023       8.55      0:03:09   0:00:50   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1648   11        0.000     1023       8.69      0:03:09   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1623   5         0.001     1023       8.56      0:03:09   0:00:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1621   0         0.001     1023       8.55      0:03:09   0:00:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1622   0         0.001     1023       8.55      0:03:09   0:00:50   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1648   11        0.000     1023       8.69      0:03:09   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1623   5         0.001     1023       8.56      0:03:09   0:00:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1622   0         0.001     1023       8.54      0:03:09   0:00:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1622   0         0.001     1023       8.55      0:03:09   0:00:50   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1649   11        0.000     1023       8.68      0:03:10   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1624   5         0.001     1023       8.55      0:03:10   0:00:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1622   0         0.001     1023       8.54      0:03:10   0:00:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1623   0         0.001     1023       8.54      0:03:10   0:00:50   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1650   11        0.000     1023       8.68      0:03:10   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1625   5         0.001     1023       8.55      0:03:10   0:00:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1624   0         0.001     1023       8.54      0:03:10   0:00:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1624   0         0.001     1023       8.54      0:03:10   0:00:50   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1651   11        0.000     1023       8.68      0:03:10   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1626   5         0.001     1023       8.55      0:03:10   0:00:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1625   0         0.001     1023       8.54      0:03:10   0:00:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1625   0         0.001     1023       8.54      0:03:10   0:00:50   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1652   11        0.000     1023       8.68      0:03:10   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1627   5         0.001     1023       8.55      0:03:10   0:00:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1626   0         0.001     1023       8.54      0:03:10   0:00:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1626   0         0.001     1023       8.54      0:03:10   0:00:50   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1653   11        0.000     1023       8.68      0:03:10   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1628   5         0.001     1023       8.55      0:03:10   0:00:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1627   0         0.001     1023       8.54      0:03:10   0:00:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1627   0         0.001     1023       8.54      0:03:10   0:00:50   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1654   11        0.000     1023       8.68      0:03:10   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1629   5         0.001     1023       8.55      0:03:10   0:00:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1627   0         0.001     1023       8.54      0:03:10   0:00:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1628   0         0.001     1023       8.54      0:03:10   0:00:50   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1655   11        0.000     1023       8.68      0:03:10   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1630   5         0.001     1023       8.55      0:03:10   0:00:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1628   0         0.001     1023       8.54      0:03:10   0:00:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1629   0         0.001     1023       8.54      0:03:10   0:00:50   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1656   11        0.000     1023       8.68      0:03:10   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1631   5         0.001     1023       8.55      0:03:10   0:00:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1629   0         0.001     1023       8.54      0:03:10   0:00:50   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1630   0         0.001     1023       8.54      0:03:10   0:00:49   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1656   11        0.000     1023       8.68      0:03:10   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1632   5         0.001     1023       8.55      0:03:10   0:00:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1630   0         0.001     1023       8.54      0:03:10   0:00:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1631   0         0.001     1023       8.54      0:03:10   0:00:49   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1657   11        0.000     1023       8.68      0:03:11   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1632   5         0.001     1023       8.55      0:03:11   0:00:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1630   0         0.001     1023       8.54      0:03:11   0:00:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1631   0         0.001     1023       8.54      0:03:11   0:00:49   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1658   11        0.000     1023       8.67      0:03:11   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1633   5         0.001     1023       8.54      0:03:11   0:00:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1631   0         0.001     1023       8.53      0:03:11   0:00:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1632   0         0.001     1023       8.54      0:03:11   0:00:49   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1658   11        0.000     1023       8.67      0:03:11   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1633   5         0.001     1023       8.54      0:03:11   0:00:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1632   0         0.001     1023       8.53      0:03:11   0:00:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1633   0         0.001     1023       8.54      0:03:11   0:00:49   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1659   11        0.000     1023       8.67      0:03:11   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1634   5         0.001     1023       8.54      0:03:11   0:00:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1633   0         0.001     1023       8.53      0:03:11   0:00:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1634   0         0.001     1023       8.54      0:03:11   0:00:49   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1660   11        0.000     1023       8.67      0:03:11   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1635   5         0.001     1023       8.54      0:03:11   0:00:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1634   0         0.001     1023       8.53      0:03:11   0:00:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1635   0         0.001     1023       8.53      0:03:11   0:00:49   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1662   11        0.000     1023       8.67      0:03:11   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1637   5         0.001     1023       8.54      0:03:11   0:00:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1635   0         0.001     1023       8.53      0:03:11   0:00:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1636   0         0.001     1023       8.54      0:03:11   0:00:49   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1663   11        0.000     1023       8.67      0:03:11   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1638   5         0.001     1023       8.54      0:03:11   0:00:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1636   0         0.001     1023       8.53      0:03:11   0:00:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1637   0         0.001     1023       8.54      0:03:11   0:00:49   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1664   11        0.000     1023       8.67      0:03:11   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1639   5         0.001     1023       8.54      0:03:11   0:00:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1637   0         0.001     1023       8.53      0:03:11   0:00:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1638   0         0.001     1023       8.54      0:03:11   0:00:48   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1665   11        0.000     1023       8.67      0:03:12   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1640   5         0.001     1023       8.54      0:03:12   0:00:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1638   0         0.001     1023       8.53      0:03:12   0:00:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1639   0         0.001     1023       8.54      0:03:12   0:00:48   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1666   11        0.000     1023       8.67      0:03:12   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1641   5         0.001     1023       8.54      0:03:12   0:00:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1639   0         0.001     1023       8.53      0:03:12   0:00:49   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1640   0         0.001     1023       8.54      0:03:12   0:00:48   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1667   11        0.000     1023       8.67      0:03:12   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1642   5         0.001     1023       8.54      0:03:12   0:00:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1640   0         0.001     1023       8.53      0:03:12   0:00:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1641   0         0.001     1023       8.54      0:03:12   0:00:48   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1667   11        0.000     1023       8.67      0:03:12   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1643   5         0.001     1023       8.54      0:03:12   0:00:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1641   0         0.001     1023       8.53      0:03:12   0:00:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1642   0         0.001     1023       8.54      0:03:12   0:00:48   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1668   11        0.000     1023       8.67      0:03:12   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1643   5         0.001     1023       8.54      0:03:12   0:00:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1642   0         0.001     1023       8.53      0:03:12   0:00:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1642   0         0.001     1023       8.54      0:03:12   0:00:48   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1668   11        0.000     1023       8.67      0:03:12   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1644   5         0.001     1023       8.54      0:03:12   0:00:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1642   0         0.001     1023       8.53      0:03:12   0:00:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1643   0         0.001     1023       8.53      0:03:12   0:00:48   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1669   11        0.000     1023       8.66      0:03:12   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1644   5         0.001     1023       8.54      0:03:12   0:00:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1643   0         0.001     1023       8.53      0:03:12   0:00:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1643   0         0.001     1023       8.53      0:03:12   0:00:48   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1670   11        0.000     1023       8.66      0:03:12   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1645   5         0.001     1023       8.53      0:03:12   0:00:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1644   0         0.001     1023       8.53      0:03:12   0:00:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1644   0         0.001     1023       8.53      0:03:12   0:00:48   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1671   11        0.000     1023       8.66      0:03:12   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1646   5         0.001     1023       8.53      0:03:12   0:00:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1644   0         0.001     1023       8.53      0:03:12   0:00:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1644   0         0.001     1023       8.53      0:03:12   0:00:48   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1671   11        0.000     1023       8.66      0:03:13   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1646   5         0.001     1023       8.53      0:03:13   0:00:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1645   0         0.001     1023       8.52      0:03:13   0:00:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1645   0         0.001     1023       8.52      0:03:13   0:00:48   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1672   11        0.000     1023       8.66      0:03:13   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1647   5         0.001     1023       8.53      0:03:13   0:00:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1646   0         0.001     1023       8.52      0:03:13   0:00:48   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1646   0         0.001     1023       8.52      0:03:13   0:00:48   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1673   11        0.000     1023       8.66      0:03:13   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1648   5         0.001     1023       8.53      0:03:13   0:00:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1647   0         0.001     1023       8.52      0:03:13   0:00:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1647   0         0.001     1023       8.52      0:03:13   0:00:48   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1674   11        0.000     1023       8.66      0:03:13   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1650   5         0.001     1023       8.53      0:03:13   0:00:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1648   0         0.001     1023       8.52      0:03:13   0:00:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1648   0         0.001     1023       8.52      0:03:13   0:00:47   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1676   11        0.000     1023       8.66      0:03:13   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1653   7         0.001     47         8.54      0:03:13   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1649   0         0.001     1023       8.52      0:03:13   0:00:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1650   0         0.001     1023       8.52      0:03:13   0:00:47   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1677   11        0.000     1023       8.66      0:03:13   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1655   8         0.001     136        8.55      0:03:13   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1650   0         0.001     1023       8.52      0:03:13   0:00:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1651   0         0.001     1023       8.52      0:03:13   0:00:47   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1678   11        0.000     1023       8.66      0:03:13   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1656   8         0.001     1023       8.55      0:03:13   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1651   0         0.001     1023       8.52      0:03:13   0:00:47   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1651   0         0.001     1023       8.52      0:03:13   0:00:47   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1679   11        0.000     1023       8.66      0:03:13   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1657   8         0.001     1023       8.55      0:03:13   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1652   0         0.001     1023       8.52      0:03:13   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1652   0         0.001     1023       8.52      0:03:13   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1679   11        0.000     1023       8.66      0:03:14   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1658   8         0.001     1023       8.55      0:03:14   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1653   0         0.001     1023       8.52      0:03:14   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1653   0         0.001     1023       8.52      0:03:14   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1680   11        0.000     1023       8.66      0:03:14   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1659   8         0.001     1023       8.55      0:03:14   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1654   0         0.001     1023       8.52      0:03:14   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1654   0         0.001     1023       8.52      0:03:14   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1681   11        0.000     1023       8.65      0:03:14   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1660   8         0.001     1023       8.54      0:03:14   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1655   0         0.001     1023       8.52      0:03:14   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1655   0         0.001     1023       8.52      0:03:14   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1681   11        0.000     1023       8.65      0:03:14   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1660   8         0.001     1023       8.54      0:03:14   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1655   0         0.001     1023       8.52      0:03:14   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1655   0         0.001     1023       8.52      0:03:14   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1682   11        0.000     1023       8.64      0:03:14   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1661   8         0.001     1023       8.53      0:03:14   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1656   0         0.001     1023       8.51      0:03:14   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1656   0         0.001     1023       8.51      0:03:14   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1683   11        0.000     1023       8.64      0:03:14   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1662   8         0.001     1023       8.53      0:03:14   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1657   0         0.001     1023       8.51      0:03:14   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1657   0         0.001     1023       8.51      0:03:14   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1684   11        0.000     1023       8.64      0:03:14   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1663   8         0.001     1023       8.53      0:03:14   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1658   0         0.001     1023       8.51      0:03:14   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1658   0         0.001     1023       8.51      0:03:14   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1685   11        0.000     1023       8.64      0:03:15   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1663   8         0.001     1023       8.53      0:03:15   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1659   0         0.001     1023       8.51      0:03:15   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1659   0         0.001     1023       8.51      0:03:15   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1686   11        0.000     1023       8.64      0:03:15   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1665   8         0.001     1023       8.53      0:03:15   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1660   0         0.001     1023       8.51      0:03:15   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1660   0         0.001     1023       8.51      0:03:15   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1687   11        0.000     1023       8.64      0:03:15   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1666   8         0.001     1023       8.53      0:03:15   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1661   0         0.001     1023       8.51      0:03:15   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1661   0         0.001     1023       8.51      0:03:15   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1688   11        0.000     1023       8.64      0:03:15   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1667   8         0.001     1023       8.53      0:03:15   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1662   0         0.001     1023       8.51      0:03:15   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1662   0         0.001     1023       8.51      0:03:15   0:00:46   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1689   11        0.000     1023       8.64      0:03:15   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1668   8         0.001     1023       8.53      0:03:15   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1663   0         0.001     1023       8.51      0:03:15   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1663   0         0.001     1023       8.51      0:03:15   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1690   11        0.000     1023       8.64      0:03:15   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1669   8         0.001     1023       8.53      0:03:15   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1664   0         0.001     1023       8.51      0:03:15   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1664   0         0.001     1023       8.51      0:03:15   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1691   11        0.000     1023       8.64      0:03:15   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1669   8         0.001     1023       8.53      0:03:15   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1665   0         0.001     1023       8.51      0:03:15   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1665   0         0.001     1023       8.51      0:03:15   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1691   11        0.000     1023       8.64      0:03:15   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1670   8         0.001     1023       8.53      0:03:15   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1665   0         0.001     1023       8.51      0:03:15   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1665   0         0.001     1023       8.51      0:03:15   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1692   11        0.000     1023       8.64      0:03:16   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1670   8         0.001     1023       8.53      0:03:16   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1666   0         0.001     1023       8.50      0:03:16   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1666   0         0.001     1023       8.50      0:03:15   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1693   11        0.000     1023       8.63      0:03:16   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1671   8         0.001     1023       8.52      0:03:16   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1667   0         0.001     1023       8.50      0:03:16   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1667   0         0.001     1023       8.50      0:03:16   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1694   11        0.000     1023       8.63      0:03:16   0:00:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1672   8         0.001     1023       8.52      0:03:16   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1667   0         0.001     1023       8.50      0:03:16   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1667   0         0.001     1023       8.50      0:03:16   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1695   11        0.000     1023       8.63      0:03:16   0:00:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1673   8         0.001     1023       8.52      0:03:16   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1668   0         0.001     1023       8.50      0:03:16   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1668   0         0.001     1023       8.50      0:03:16   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1696   11        0.000     1023       8.63      0:03:16   0:00:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1674   8         0.001     1023       8.52      0:03:16   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1669   0         0.001     1023       8.50      0:03:16   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1669   0         0.001     1023       8.50      0:03:16   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1697   11        0.000     1023       8.63      0:03:16   0:00:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1675   8         0.001     1023       8.52      0:03:16   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1671   0         0.001     1023       8.50      0:03:16   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1671   0         0.001     1023       8.50      0:03:16   0:00:45   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1698   11        0.000     1023       8.63      0:03:16   0:00:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1676   8         0.001     1023       8.52      0:03:16   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1672   0         0.001     1023       8.50      0:03:16   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1672   0         0.001     1023       8.50      0:03:16   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1699   11        0.000     1023       8.63      0:03:16   0:00:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1677   8         0.001     1023       8.52      0:03:16   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1673   0         0.001     1023       8.50      0:03:16   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1672   0         0.001     1023       8.50      0:03:16   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1700   11        0.000     1023       8.63      0:03:16   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1678   8         0.001     1023       8.52      0:03:16   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1674   0         0.001     1023       8.50      0:03:16   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1673   0         0.001     1023       8.50      0:03:16   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1700   11        0.000     1023       8.63      0:03:17   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1679   8         0.001     1023       8.52      0:03:17   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1674   0         0.001     1023       8.50      0:03:17   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1674   0         0.001     1023       8.50      0:03:17   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1701   11        0.000     1023       8.63      0:03:17   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1680   8         0.001     1023       8.52      0:03:17   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1675   0         0.001     1023       8.50      0:03:17   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1675   0         0.001     1023       8.50      0:03:17   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1702   11        0.000     1023       8.63      0:03:17   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1682   9         0.001     1023       8.52      0:03:17   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1677   0         0.001     1023       8.50      0:03:17   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1676   0         0.001     1023       8.50      0:03:17   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1703   11        0.000     1023       8.63      0:03:17   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1683   9         0.001     1023       8.52      0:03:17   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1677   0         0.001     1023       8.50      0:03:17   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1677   0         0.001     1023       8.50      0:03:17   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1704   11        0.000     1023       8.63      0:03:17   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1683   9         0.001     1023       8.52      0:03:17   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1678   0         0.001     1023       8.50      0:03:17   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1678   0         0.001     1023       8.50      0:03:17   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1705   11        0.000     1023       8.62      0:03:17   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1684   9         0.001     1023       8.52      0:03:17   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1679   0         0.001     1023       8.49      0:03:17   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1678   0         0.001     1023       8.50      0:03:17   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1706   11        0.000     1023       8.62      0:03:17   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1685   9         0.001     1023       8.52      0:03:17   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1680   0         0.001     1023       8.49      0:03:17   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1679   0         0.001     1023       8.49      0:03:17   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1706   11        0.000     1023       8.62      0:03:18   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1685   9         0.001     1023       8.52      0:03:18   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1680   0         0.001     1023       8.49      0:03:18   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1680   0         0.001     1023       8.49      0:03:17   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1707   11        0.000     1023       8.62      0:03:18   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1686   9         0.001     1023       8.51      0:03:18   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1681   0         0.001     1023       8.49      0:03:18   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1681   0         0.001     1023       8.49      0:03:18   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1708   11        0.000     1023       8.62      0:03:18   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1687   9         0.001     1023       8.51      0:03:18   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1682   0         0.001     1023       8.48      0:03:18   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1681   0         0.001     1023       8.49      0:03:18   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1708   11        0.000     1023       8.62      0:03:18   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1687   9         0.001     1023       8.51      0:03:18   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1682   0         0.001     1023       8.48      0:03:18   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1682   0         0.001     1023       8.48      0:03:18   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1708   11        0.000     1023       8.62      0:03:18   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1688   9         0.001     1023       8.50      0:03:18   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1683   0         0.001     1023       8.48      0:03:18   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1682   0         0.001     1023       8.48      0:03:18   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1709   11        0.000     1023       8.61      0:03:18   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1689   9         0.001     1023       8.51      0:03:18   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1684   0         0.001     1023       8.48      0:03:18   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1683   0         0.001     1023       8.48      0:03:18   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1711   11        0.000     1023       8.61      0:03:18   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1690   9         0.001     1023       8.51      0:03:18   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1685   0         0.001     1023       8.48      0:03:18   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1684   0         0.001     1023       8.48      0:03:18   0:00:44   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1712   11        0.000     1023       8.61      0:03:18   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1691   9         0.001     1023       8.51      0:03:18   0:00:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1686   0         0.001     1023       8.48      0:03:18   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1685   0         0.001     1023       8.48      0:03:18   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1713   11        0.000     1023       8.61      0:03:18   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1692   9         0.001     1023       8.51      0:03:18   0:00:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1687   0         0.001     1023       8.48      0:03:18   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1686   0         0.001     1023       8.48      0:03:18   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1714   11        0.000     1023       8.61      0:03:19   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1693   9         0.001     1023       8.51      0:03:19   0:00:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1688   0         0.001     1023       8.48      0:03:19   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1687   0         0.001     1023       8.48      0:03:19   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1715   11        0.000     1023       8.61      0:03:19   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1694   9         0.001     1023       8.51      0:03:19   0:00:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1689   0         0.001     1023       8.48      0:03:19   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1688   0         0.001     1023       8.48      0:03:19   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1716   11        0.000     1023       8.61      0:03:19   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1695   9         0.001     1023       8.51      0:03:19   0:00:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1690   0         0.001     1023       8.48      0:03:19   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1689   0         0.001     1023       8.48      0:03:19   0:00:43   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1717   11        0.000     1023       8.61      0:03:19   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1696   9         0.001     1023       8.51      0:03:19   0:00:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1691   0         0.001     1023       8.48      0:03:19   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1690   0         0.001     1023       8.48      0:03:19   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1718   11        0.000     1023       8.61      0:03:19   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1697   9         0.001     1023       8.51      0:03:19   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1692   0         0.001     1023       8.48      0:03:19   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1691   0         0.001     1023       8.48      0:03:19   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1718   11        0.000     1023       8.61      0:03:19   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1697   9         0.001     1023       8.51      0:03:19   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1692   0         0.001     1023       8.48      0:03:19   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1691   0         0.001     1023       8.48      0:03:19   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1719   11        0.000     1023       8.61      0:03:19   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1698   9         0.001     1023       8.50      0:03:19   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1693   0         0.001     1023       8.48      0:03:19   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1693   0         0.001     1023       8.47      0:03:19   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1720   11        0.000     1023       8.61      0:03:19   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1699   9         0.001     1023       8.50      0:03:19   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1694   0         0.001     1023       8.48      0:03:19   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1694   0         0.001     1023       8.48      0:03:19   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1721   11        0.000     1023       8.61      0:03:20   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1700   9         0.001     1023       8.50      0:03:20   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1695   0         0.001     1023       8.48      0:03:20   0:00:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1694   0         0.001     1023       8.48      0:03:20   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1722   11        0.000     1023       8.61      0:03:20   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1701   9         0.001     1023       8.50      0:03:20   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1696   0         0.001     1023       8.48      0:03:20   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1695   0         0.001     1023       8.47      0:03:20   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1723   11        0.000     1023       8.60      0:03:20   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1702   9         0.001     1023       8.50      0:03:20   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1696   0         0.001     1023       8.48      0:03:20   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1696   0         0.001     1023       8.47      0:03:20   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1723   11        0.000     1023       8.60      0:03:20   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1703   9         0.001     1023       8.50      0:03:20   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1697   0         0.001     1023       8.47      0:03:20   0:00:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1697   0         0.001     1023       8.47      0:03:20   0:00:42   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1724   11        0.000     1023       8.60      0:03:20   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1703   9         0.001     1023       8.50      0:03:20   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1698   0         0.001     1023       8.47      0:03:20   0:00:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1698   0         0.001     1023       8.47      0:03:20   0:00:41   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1725   11        0.000     1023       8.60      0:03:20   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1704   9         0.001     1023       8.50      0:03:20   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1699   0         0.001     1023       8.47      0:03:20   0:00:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1699   0         0.001     1023       8.47      0:03:20   0:00:41   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1726   11        0.000     1023       8.60      0:03:20   0:00:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1705   9         0.001     1023       8.50      0:03:20   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1700   0         0.001     1023       8.47      0:03:20   0:00:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1700   0         0.001     1023       8.47      0:03:20   0:00:41   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1727   11        0.000     1023       8.60      0:03:20   0:00:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1706   9         0.001     1023       8.50      0:03:20   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1701   0         0.001     1023       8.47      0:03:20   0:00:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1701   0         0.001     1023       8.47      0:03:20   0:00:41   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1728   11        0.000     1023       8.60      0:03:20   0:00:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1707   9         0.001     1023       8.50      0:03:20   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1702   0         0.001     1023       8.47      0:03:20   0:00:41   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1702   0         0.001     1023       8.47      0:03:20   0:00:41   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1729   11        0.000     1023       8.60      0:03:21   0:00:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1708   9         0.001     1023       8.50      0:03:21   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1703   0         0.001     1023       8.47      0:03:21   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1703   0         0.001     1023       8.47      0:03:21   0:00:41   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1730   11        0.000     1023       8.60      0:03:21   0:00:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1709   9         0.001     1023       8.50      0:03:21   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1704   0         0.001     1023       8.47      0:03:21   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1704   0         0.001     1023       8.47      0:03:21   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1731   11        0.000     1023       8.60      0:03:21   0:00:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1710   9         0.001     1023       8.50      0:03:21   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1705   0         0.001     1023       8.47      0:03:21   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1705   0         0.001     1023       8.47      0:03:21   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1731   11        0.000     1023       8.60      0:03:21   0:00:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1710   9         0.001     1023       8.50      0:03:21   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1705   0         0.001     1023       8.47      0:03:21   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1705   0         0.001     1023       8.47      0:03:21   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1732   11        0.000     1023       8.60      0:03:21   0:00:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1711   9         0.001     1023       8.49      0:03:21   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1706   0         0.001     1023       8.47      0:03:21   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1706   0         0.001     1023       8.47      0:03:21   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1733   11        0.000     1023       8.59      0:03:21   0:00:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1711   9         0.001     1023       8.49      0:03:21   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1706   0         0.001     1023       8.47      0:03:21   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1706   0         0.001     1023       8.47      0:03:21   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1734   11        0.000     1023       8.59      0:03:21   0:00:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1712   9         0.001     1023       8.49      0:03:21   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1707   0         0.001     1023       8.46      0:03:21   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1707   0         0.001     1023       8.46      0:03:21   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1735   11        0.000     1023       8.60      0:03:21   0:00:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1714   9         0.001     1023       8.49      0:03:21   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1708   0         0.001     1023       8.46      0:03:21   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1708   0         0.001     1023       8.46      0:03:21   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1736   11        0.000     1023       8.60      0:03:21   0:00:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1715   9         0.001     1023       8.49      0:03:21   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1710   0         0.001     1023       8.47      0:03:21   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1710   0         0.001     1023       8.47      0:03:21   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1736   11        0.000     1023       8.60      0:03:22   0:00:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1715   9         0.001     1023       8.49      0:03:22   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1710   0         0.001     1023       8.47      0:03:22   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1710   0         0.001     1023       8.47      0:03:22   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1737   11        0.000     1023       8.59      0:03:22   0:00:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1716   9         0.001     1023       8.49      0:03:22   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1711   0         0.001     1023       8.46      0:03:22   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1711   0         0.001     1023       8.46      0:03:22   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1738   11        0.000     1023       8.59      0:03:22   0:00:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1717   9         0.001     1023       8.49      0:03:22   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1712   0         0.001     1023       8.46      0:03:22   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1711   0         0.001     1023       8.46      0:03:22   0:00:40   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1739   11        0.000     1023       8.59      0:03:22   0:00:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1718   9         0.001     1023       8.49      0:03:22   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1713   0         0.001     1023       8.46      0:03:22   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1713   0         0.001     1023       8.46      0:03:22   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1740   11        0.000     1023       8.59      0:03:22   0:00:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1719   9         0.001     1023       8.49      0:03:22   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1714   0         0.001     1023       8.46      0:03:22   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1713   0         0.001     1023       8.46      0:03:22   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1741   11        0.000     1023       8.59      0:03:22   0:00:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1720   9         0.001     1023       8.49      0:03:22   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1715   0         0.001     1023       8.46      0:03:22   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m\u001b[38;5;237m━\u001b[0m   1714   0         0.001     1023       8.46      0:03:22   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1742   11        0.000     1023       8.59      0:03:22   0:00:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1721   9         0.001     1023       8.49      0:03:22   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1716   0         0.001     1023       8.46      0:03:22   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1715   0         0.001     1023       8.46      0:03:22   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1743   11        0.000     1023       8.59      0:03:22   0:00:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1722   9         0.001     1023       8.49      0:03:22   0:00:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1717   0         0.001     1023       8.47      0:03:22   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1717   0         0.001     1023       8.46      0:03:22   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1744   11        0.000     1023       8.59      0:03:22   0:00:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1723   9         0.001     1023       8.49      0:03:22   0:00:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1718   0         0.001     1023       8.47      0:03:22   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1718   0         0.001     1023       8.46      0:03:22   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1745   11        0.000     1023       8.59      0:03:23   0:00:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1724   9         0.001     1023       8.49      0:03:23   0:00:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1719   0         0.001     1023       8.47      0:03:23   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1719   0         0.001     1023       8.47      0:03:23   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1745   11        0.000     1023       8.59      0:03:23   0:00:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1724   9         0.001     1023       8.49      0:03:23   0:00:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1720   0         0.001     1023       8.47      0:03:23   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1719   0         0.001     1023       8.47      0:03:23   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1746   11        0.000     1023       8.59      0:03:23   0:00:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1725   9         0.001     1023       8.48      0:03:23   0:00:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1720   0         0.001     1023       8.47      0:03:23   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1719   0         0.001     1023       8.47      0:03:23   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1746   11        0.000     1023       8.59      0:03:23   0:00:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1725   9         0.001     1023       8.48      0:03:23   0:00:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1721   0         0.001     1023       8.45      0:03:23   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1720   0         0.001     1023       8.45      0:03:23   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1747   11        0.000     1023       8.58      0:03:23   0:00:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1726   9         0.001     1023       8.47      0:03:23   0:00:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1721   0         0.001     1023       8.45      0:03:23   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1720   0         0.001     1023       8.45      0:03:23   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1748   11        0.000     1023       8.57      0:03:23   0:00:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1726   9         0.001     1023       8.47      0:03:23   0:00:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1722   0         0.001     1023       8.44      0:03:23   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1721   0         0.001     1023       8.44      0:03:23   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1748   11        0.000     1023       8.57      0:03:24   0:00:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1727   9         0.001     1023       8.46      0:03:24   0:00:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1723   0         0.001     1023       8.44      0:03:24   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1722   0         0.001     1023       8.44      0:03:24   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1749   11        0.000     1023       8.57      0:03:24   0:00:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1728   9         0.001     1023       8.46      0:03:24   0:00:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1723   0         0.001     1023       8.44      0:03:24   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1723   0         0.001     1023       8.44      0:03:24   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1750   11        0.000     1023       8.57      0:03:24   0:00:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1728   9         0.001     1023       8.46      0:03:24   0:00:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1724   0         0.001     1023       8.44      0:03:24   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1723   0         0.001     1023       8.44      0:03:24   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1751   11        0.000     1023       8.56      0:03:24   0:00:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1729   9         0.001     1023       8.46      0:03:24   0:00:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1725   0         0.001     1023       8.44      0:03:24   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1724   0         0.001     1023       8.43      0:03:24   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1752   11        0.000     1023       8.56      0:03:24   0:00:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1730   9         0.001     1023       8.46      0:03:24   0:00:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1726   0         0.001     1023       8.44      0:03:24   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1725   0         0.001     1023       8.43      0:03:24   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1753   11        0.000     1023       8.56      0:03:24   0:00:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1731   9         0.001     1023       8.46      0:03:24   0:00:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1726   0         0.001     1023       8.44      0:03:24   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1726   0         0.001     1023       8.43      0:03:24   0:00:39   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1753   11        0.000     1023       8.56      0:03:24   0:00:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1732   9         0.001     1023       8.46      0:03:24   0:00:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1727   0         0.001     1023       8.44      0:03:24   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1727   0         0.001     1023       8.43      0:03:24   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1754   11        0.000     1023       8.56      0:03:24   0:00:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1733   9         0.001     1023       8.46      0:03:24   0:00:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1728   0         0.001     1023       8.44      0:03:24   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1728   0         0.001     1023       8.43      0:03:24   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1755   11        0.000     1023       8.56      0:03:25   0:00:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1734   9         0.001     1023       8.46      0:03:25   0:00:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1729   0         0.001     1023       8.44      0:03:25   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1729   0         0.001     1023       8.43      0:03:25   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1756   11        0.000     1023       8.56      0:03:25   0:00:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1735   9         0.001     1023       8.46      0:03:25   0:00:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1730   0         0.001     1023       8.44      0:03:25   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1730   0         0.001     1023       8.43      0:03:25   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1757   11        0.000     1023       8.56      0:03:25   0:00:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1736   9         0.001     1023       8.46      0:03:25   0:00:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1731   0         0.001     1023       8.44      0:03:25   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1730   0         0.001     1023       8.43      0:03:25   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1758   11        0.000     1023       8.56      0:03:25   0:00:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1737   9         0.001     1023       8.46      0:03:25   0:00:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1732   0         0.001     1023       8.44      0:03:25   0:00:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1731   0         0.001     1023       8.43      0:03:25   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1759   11        0.000     1023       8.56      0:03:25   0:00:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1737   9         0.001     1023       8.46      0:03:25   0:00:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1733   0         0.001     1023       8.43      0:03:25   0:00:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1732   0         0.001     1023       8.43      0:03:25   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1760   11        0.000     1023       8.56      0:03:25   0:00:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1738   9         0.001     1023       8.45      0:03:25   0:00:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1733   0         0.001     1023       8.43      0:03:25   0:00:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1733   0         0.001     1023       8.43      0:03:25   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1760   11        0.000     1023       8.56      0:03:25   0:00:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1738   9         0.001     1023       8.45      0:03:25   0:00:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1734   0         0.001     1023       8.43      0:03:25   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1733   0         0.001     1023       8.43      0:03:25   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1761   11        0.000     1023       8.55      0:03:26   0:00:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1739   9         0.001     1023       8.44      0:03:26   0:00:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1735   0         0.001     1023       8.42      0:03:26   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1734   0         0.001     1023       8.42      0:03:26   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1762   11        0.000     1023       8.55      0:03:26   0:00:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1740   9         0.001     1023       8.44      0:03:26   0:00:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1736   0         0.001     1023       8.42      0:03:26   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1735   0         0.001     1023       8.42      0:03:26   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1763   11        0.000     1023       8.55      0:03:26   0:00:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1741   9         0.001     1023       8.44      0:03:26   0:00:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1737   0         0.001     1023       8.42      0:03:26   0:00:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1736   0         0.001     1023       8.42      0:03:26   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1764   11        0.000     1023       8.55      0:03:26   0:00:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1742   9         0.001     1023       8.44      0:03:26   0:00:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1738   0         0.001     1023       8.42      0:03:26   0:00:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1737   0         0.001     1023       8.42      0:03:26   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1765   11        0.000     1023       8.55      0:03:26   0:00:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1743   9         0.001     1023       8.44      0:03:26   0:00:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1739   0         0.001     1023       8.42      0:03:26   0:00:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1738   0         0.001     1023       8.42      0:03:26   0:00:38   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1767   11        0.000     1023       8.55      0:03:26   0:00:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1744   9         0.001     1023       8.44      0:03:26   0:00:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1740   0         0.001     1023       8.42      0:03:26   0:00:37   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1739   0         0.001     1023       8.42      0:03:26   0:00:37   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1768   11        0.000     1023       8.55      0:03:26   0:00:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1746   9         0.001     1023       8.44      0:03:26   0:00:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1741   0         0.001     1023       8.42      0:03:26   0:00:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1740   0         0.001     1023       8.42      0:03:26   0:00:37   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1769   11        0.000     1023       8.55      0:03:26   0:00:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1747   9         0.001     1023       8.45      0:03:26   0:00:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1742   0         0.001     1023       8.42      0:03:26   0:00:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1741   0         0.001     1023       8.42      0:03:26   0:00:37   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1770   11        0.000     1023       8.55      0:03:27   0:00:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1748   9         0.001     1023       8.45      0:03:27   0:00:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1743   0         0.001     1023       8.42      0:03:26   0:00:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1742   0         0.001     1023       8.42      0:03:26   0:00:37   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1771   11        0.000     1023       8.55      0:03:27   0:00:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1749   9         0.001     1023       8.45      0:03:27   0:00:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1744   0         0.001     1023       8.42      0:03:27   0:00:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1743   0         0.001     1023       8.42      0:03:27   0:00:36   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1772   11        0.000     1023       8.55      0:03:27   0:00:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1750   9         0.001     1023       8.45      0:03:27   0:00:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1746   0         0.001     1023       8.43      0:03:27   0:00:36   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1745   0         0.001     1023       8.42      0:03:27   0:00:36   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1773   11        0.000     1023       8.55      0:03:27   0:00:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1751   9         0.001     1023       8.45      0:03:27   0:00:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1747   0         0.001     1023       8.43      0:03:27   0:00:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1746   0         0.001     1023       8.42      0:03:27   0:00:36   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1774   11        0.000     1023       8.55      0:03:27   0:00:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1752   9         0.001     1023       8.45      0:03:27   0:00:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1747   0         0.001     1023       8.43      0:03:27   0:00:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1747   0         0.001     1023       8.42      0:03:27   0:00:36   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1775   11        0.000     1023       8.55      0:03:27   0:00:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1753   9         0.001     1023       8.45      0:03:27   0:00:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1748   0         0.001     1023       8.42      0:03:27   0:00:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1748   0         0.001     1023       8.42      0:03:27   0:00:36   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1776   11        0.000     1023       8.55      0:03:27   0:00:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1754   9         0.001     1023       8.44      0:03:27   0:00:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1749   0         0.001     1023       8.42      0:03:27   0:00:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1749   0         0.001     1023       8.42      0:03:27   0:00:36   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1777   11        0.000     1023       8.55      0:03:27   0:00:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1755   9         0.001     1023       8.44      0:03:27   0:00:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1750   0         0.001     1023       8.42      0:03:27   0:00:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1749   0         0.001     1023       8.42      0:03:27   0:00:36   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1777   11        0.000     1023       8.55      0:03:28   0:00:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1755   9         0.001     1023       8.44      0:03:28   0:00:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1750   0         0.001     1023       8.42      0:03:28   0:00:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1750   0         0.001     1023       8.41      0:03:28   0:00:36   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1778   11        0.000     1023       8.54      0:03:28   0:00:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1756   9         0.001     1023       8.43      0:03:28   0:00:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1751   0         0.001     1023       8.41      0:03:28   0:00:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1751   0         0.001     1023       8.41      0:03:28   0:00:36   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1778   11        0.000     1023       8.54      0:03:28   0:00:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1756   9         0.001     1023       8.43      0:03:28   0:00:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1752   0         0.001     1023       8.41      0:03:28   0:00:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1751   0         0.001     1023       8.41      0:03:28   0:00:36   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1779   11        0.000     1023       8.53      0:03:28   0:00:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1757   9         0.001     1023       8.43      0:03:28   0:00:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1753   0         0.001     1023       8.41      0:03:28   0:00:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1752   0         0.001     1023       8.41      0:03:28   0:00:35   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1780   11        0.000     1023       8.53      0:03:28   0:00:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1758   9         0.001     1023       8.43      0:03:28   0:00:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1754   0         0.001     1023       8.41      0:03:28   0:00:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1753   0         0.001     1023       8.40      0:03:28   0:00:35   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1781   11        0.000     829        8.53      0:03:28   0:00:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1759   9         0.001     1023       8.43      0:03:28   0:00:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1754   0         0.001     1023       8.41      0:03:28   0:00:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1754   0         0.001     1023       8.40      0:03:28   0:00:35   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1783   12        0.000     1023       8.54      0:03:28   0:00:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1760   9         0.001     1023       8.43      0:03:28   0:00:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1756   0         0.001     1023       8.41      0:03:28   0:00:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1755   0         0.001     1023       8.40      0:03:28   0:00:35   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1784   12        0.000     1023       8.54      0:03:28   0:00:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1761   9         0.001     1023       8.43      0:03:28   0:00:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1757   0         0.001     1023       8.41      0:03:28   0:00:35   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1756   0         0.001     1023       8.41      0:03:28   0:00:35   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1785   12        0.000     1023       8.54      0:03:29   0:00:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1763   9         0.001     1023       8.43      0:03:29   0:00:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1758   0         0.001     1023       8.41      0:03:29   0:00:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1757   0         0.001     1023       8.41      0:03:29   0:00:35   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1786   12        0.000     1023       8.54      0:03:29   0:00:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1764   9         0.001     1023       8.43      0:03:29   0:00:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1759   0         0.001     1023       8.41      0:03:29   0:00:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1758   0         0.001     1023       8.41      0:03:29   0:00:35   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1787   12        0.000     1023       8.54      0:03:29   0:00:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1765   9         0.001     1023       8.43      0:03:29   0:00:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1760   0         0.001     1023       8.41      0:03:29   0:00:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1759   0         0.001     1023       8.41      0:03:29   0:00:34   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1788   12        0.000     1023       8.54      0:03:29   0:00:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1766   9         0.001     1023       8.43      0:03:29   0:00:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1761   0         0.001     1023       8.41      0:03:29   0:00:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1760   0         0.001     1023       8.41      0:03:29   0:00:34   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1789   12        0.000     1023       8.54      0:03:29   0:00:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1767   9         0.001     1023       8.43      0:03:29   0:00:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1762   0         0.001     1023       8.41      0:03:29   0:00:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1761   0         0.001     1023       8.41      0:03:29   0:00:34   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1790   12        0.000     1023       8.54      0:03:29   0:00:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1767   9         0.001     1023       8.43      0:03:29   0:00:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1762   0         0.001     1023       8.41      0:03:29   0:00:34   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1762   0         0.001     1023       8.40      0:03:29   0:00:34   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1790   12        0.000     1023       8.54      0:03:29   0:00:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1768   9         0.001     1023       8.43      0:03:29   0:00:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1763   0         0.001     1023       8.40      0:03:29   0:00:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1763   0         0.001     1023       8.40      0:03:29   0:00:34   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1792   12        0.000     1023       8.54      0:03:29   0:00:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1769   9         0.001     1023       8.43      0:03:29   0:00:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1764   0         0.001     1023       8.40      0:03:29   0:00:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1763   0         0.001     1023       8.40      0:03:29   0:00:34   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1792   12        0.000     1023       8.54      0:03:30   0:00:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1769   9         0.001     1023       8.43      0:03:30   0:00:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1764   0         0.001     1023       8.40      0:03:30   0:00:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1764   0         0.001     1023       8.40      0:03:30   0:00:34   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1793   12        0.000     1023       8.53      0:03:30   0:00:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1770   9         0.001     1023       8.43      0:03:30   0:00:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1765   0         0.001     1023       8.40      0:03:30   0:00:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1764   0         0.001     1023       8.40      0:03:30   0:00:34   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1794   12        0.000     767        8.53      0:03:30   0:00:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1771   9         0.001     1023       8.42      0:03:30   0:00:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1766   0         0.001     1023       8.40      0:03:30   0:00:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1765   0         0.001     1023       8.40      0:03:30   0:00:34   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1795   12        0.000     1023       8.53      0:03:30   0:00:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1772   9         0.001     1023       8.42      0:03:30   0:00:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1766   0         0.001     1023       8.40      0:03:30   0:00:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1766   0         0.001     1023       8.39      0:03:30   0:00:33   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1795   12        0.000     1023       8.53      0:03:30   0:00:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1773   9         0.001     1023       8.42      0:03:30   0:00:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1767   0         0.001     1023       8.39      0:03:30   0:00:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1767   0         0.001     1023       8.39      0:03:30   0:00:33   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1796   12        0.000     1023       8.53      0:03:30   0:00:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1773   9         0.001     1023       8.42      0:03:30   0:00:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1768   0         0.001     1023       8.39      0:03:30   0:00:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1768   0         0.001     1023       8.39      0:03:30   0:00:33   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1797   12        0.000     1023       8.53      0:03:30   0:00:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1774   9         0.001     1023       8.42      0:03:30   0:00:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1769   0         0.001     1023       8.40      0:03:30   0:00:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1769   0         0.001     1023       8.39      0:03:30   0:00:33   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1799   13        0.000     461        8.53      0:03:30   0:00:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1775   9         0.001     1023       8.42      0:03:30   0:00:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1770   0         0.001     1023       8.39      0:03:30   0:00:33   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1770   0         0.001     1023       8.39      0:03:30   0:00:33   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1800   13        0.000     1023       8.53      0:03:31   0:00:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1776   9         0.001     1023       8.42      0:03:31   0:00:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1771   0         0.001     1023       8.39      0:03:31   0:00:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1771   0         0.001     1023       8.39      0:03:31   0:00:33   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1801   13        0.000     1023       8.53      0:03:31   0:00:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1778   9         0.001     1023       8.42      0:03:31   0:00:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1773   0         0.001     1023       8.40      0:03:31   0:00:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1772   0         0.001     1023       8.39      0:03:31   0:00:32   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1802   13        0.000     1023       8.53      0:03:31   0:00:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1779   9         0.001     1023       8.42      0:03:31   0:00:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1774   0         0.001     1023       8.40      0:03:31   0:00:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1773   0         0.001     1023       8.40      0:03:31   0:00:32   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1804   13        0.000     1023       8.53      0:03:31   0:00:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1780   9         0.001     1023       8.42      0:03:31   0:00:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1775   0         0.001     1023       8.40      0:03:31   0:00:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1774   0         0.001     1023       8.40      0:03:31   0:00:32   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1805   13        0.000     1023       8.53      0:03:31   0:00:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1781   9         0.001     1023       8.42      0:03:31   0:00:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1776   0         0.001     1023       8.40      0:03:31   0:00:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1775   0         0.001     1023       8.40      0:03:31   0:00:32   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1805   13        0.000     1023       8.53      0:03:31   0:00:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1782   9         0.001     1023       8.42      0:03:31   0:00:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1777   0         0.001     1023       8.40      0:03:31   0:00:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1776   0         0.001     1023       8.40      0:03:31   0:00:32   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1806   13        0.000     1023       8.53      0:03:31   0:00:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1782   9         0.001     1023       8.42      0:03:31   0:00:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1777   0         0.001     1023       8.40      0:03:31   0:00:32   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1776   0         0.001     1023       8.40      0:03:31   0:00:32   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1806   13        0.000     1023       8.53      0:03:31   0:00:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1783   9         0.001     1023       8.42      0:03:31   0:00:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1778   0         0.001     1023       8.39      0:03:31   0:00:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1777   0         0.001     1023       8.39      0:03:31   0:00:32   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1807   13        0.000     1023       8.53      0:03:31   0:00:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1783   9         0.001     1023       8.42      0:03:31   0:00:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1778   0         0.001     1023       8.39      0:03:31   0:00:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1778   0         0.001     1023       8.39      0:03:31   0:00:32   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1807   13        0.000     1023       8.53      0:03:32   0:00:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1784   9         0.001     1023       8.41      0:03:32   0:00:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1779   0         0.001     1023       8.39      0:03:32   0:00:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1778   0         0.001     1023       8.39      0:03:32   0:00:32   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1808   13        0.000     1023       8.52      0:03:32   0:00:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1785   9         0.001     1023       8.41      0:03:32   0:00:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1780   0         0.001     1023       8.39      0:03:32   0:00:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1779   0         0.001     1023       8.39      0:03:32   0:00:32   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1809   13        0.000     1023       8.52      0:03:32   0:00:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1786   9         0.001     1023       8.41      0:03:32   0:00:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1781   0         0.001     1023       8.39      0:03:32   0:00:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1780   0         0.001     1023       8.39      0:03:32   0:00:32   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1810   13        0.000     1023       8.52      0:03:32   0:00:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1787   9         0.001     1023       8.41      0:03:32   0:00:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1782   0         0.001     1023       8.39      0:03:32   0:00:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1781   0         0.001     1023       8.39      0:03:32   0:00:31   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1811   13        0.000     1023       8.52      0:03:32   0:00:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1788   9         0.001     1023       8.41      0:03:32   0:00:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1783   0         0.001     1023       8.39      0:03:32   0:00:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1782   0         0.001     1023       8.38      0:03:32   0:00:31   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1812   14        0.000     771        8.52      0:03:32   0:00:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1789   9         0.001     1023       8.41      0:03:32   0:00:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1784   0         0.001     1023       8.39      0:03:32   0:00:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1783   0         0.001     1023       8.38      0:03:32   0:00:31   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1813   14        0.000     1023       8.52      0:03:32   0:00:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1790   9         0.001     1023       8.41      0:03:32   0:00:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1785   0         0.001     1023       8.39      0:03:32   0:00:31   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1784   0         0.001     1023       8.38      0:03:32   0:00:31   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1814   14        0.000     1023       8.52      0:03:32   0:00:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1791   9         0.001     1023       8.41      0:03:32   0:00:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1786   0         0.001     1023       8.39      0:03:32   0:00:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1785   0         0.001     1023       8.38      0:03:32   0:00:31   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1815   14        0.000     1023       8.52      0:03:33   0:00:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1791   9         0.001     1023       8.41      0:03:33   0:00:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1786   0         0.001     1023       8.39      0:03:33   0:00:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1785   0         0.001     1023       8.38      0:03:33   0:00:31   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1815   14        0.000     1023       8.52      0:03:33   0:00:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1792   9         0.001     1023       8.41      0:03:33   0:00:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1787   0         0.001     1023       8.39      0:03:33   0:00:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1786   0         0.001     1023       8.38      0:03:33   0:00:31   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1817   14        0.000     1023       8.52      0:03:33   0:00:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1793   9         0.001     1023       8.41      0:03:33   0:00:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1788   0         0.001     1023       8.39      0:03:33   0:00:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1788   0         0.001     1023       8.38      0:03:33   0:00:30   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1818   14        0.000     1023       8.52      0:03:33   0:00:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1794   9         0.001     1023       8.41      0:03:33   0:00:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1789   0         0.001     1023       8.39      0:03:33   0:00:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1789   0         0.001     1023       8.38      0:03:33   0:00:30   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1819   14        0.000     1023       8.52      0:03:33   0:00:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1795   9         0.001     1023       8.41      0:03:33   0:00:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1790   0         0.001     1023       8.39      0:03:33   0:00:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1790   0         0.001     1023       8.38      0:03:33   0:00:30   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1820   14        0.000     1023       8.52      0:03:33   0:00:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1796   9         0.001     1023       8.41      0:03:33   0:00:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1791   0         0.001     1023       8.39      0:03:33   0:00:30   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1790   0         0.001     1023       8.38      0:03:33   0:00:30   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1820   14        0.000     1023       8.52      0:03:33   0:00:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1797   9         0.001     1023       8.41      0:03:33   0:00:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1792   0         0.001     1023       8.39      0:03:33   0:00:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1791   0         0.001     1023       8.38      0:03:33   0:00:30   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1821   14        0.000     1023       8.52      0:03:33   0:00:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1798   9         0.001     1023       8.41      0:03:33   0:00:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1793   0         0.001     1023       8.39      0:03:33   0:00:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1792   0         0.001     1023       8.38      0:03:33   0:00:30   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1822   14        0.000     1023       8.51      0:03:34   0:00:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1799   9         0.001     1023       8.41      0:03:34   0:00:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1794   0         0.001     1023       8.38      0:03:33   0:00:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1793   0         0.001     1023       8.38      0:03:33   0:00:30   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1823   14        0.000     1023       8.51      0:03:34   0:00:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1800   9         0.001     1023       8.41      0:03:34   0:00:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1795   0         0.001     1023       8.38      0:03:34   0:00:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1794   0         0.001     1023       8.38      0:03:34   0:00:30   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1823   14        0.000     1023       8.51      0:03:34   0:00:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1800   9         0.001     1023       8.41      0:03:34   0:00:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1795   0         0.001     1023       8.38      0:03:34   0:00:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1795   0         0.001     1023       8.38      0:03:34   0:00:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1824   14        0.000     1023       8.51      0:03:34   0:00:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1801   9         0.001     1023       8.41      0:03:34   0:00:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1796   0         0.001     1023       8.38      0:03:34   0:00:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1795   0         0.001     1023       8.38      0:03:34   0:00:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1825   14        0.000     1023       8.51      0:03:34   0:00:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1802   9         0.001     1023       8.40      0:03:34   0:00:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1797   0         0.001     1023       8.38      0:03:34   0:00:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1796   0         0.001     1023       8.38      0:03:34   0:00:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1825   14        0.000     1023       8.51      0:03:34   0:00:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1802   9         0.001     1023       8.40      0:03:34   0:00:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1797   0         0.001     1023       8.38      0:03:34   0:00:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1797   0         0.001     1023       8.38      0:03:34   0:00:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1826   14        0.000     1023       8.51      0:03:34   0:00:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1803   9         0.001     1023       8.40      0:03:34   0:00:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1798   0         0.001     1023       8.38      0:03:34   0:00:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1798   0         0.001     1023       8.37      0:03:34   0:00:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1827   14        0.000     1023       8.50      0:03:34   0:00:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1804   9         0.001     1023       8.40      0:03:34   0:00:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1799   0         0.001     1023       8.38      0:03:34   0:00:29   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1798   0         0.001     1023       8.37      0:03:34   0:00:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1828   14        0.000     1023       8.50      0:03:34   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1805   9         0.001     1023       8.40      0:03:34   0:00:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1800   0         0.001     1023       8.38      0:03:34   0:00:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1799   0         0.001     1023       8.37      0:03:34   0:00:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1829   14        0.000     1023       8.51      0:03:35   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1806   9         0.001     1023       8.40      0:03:35   0:00:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1801   0         0.001     1023       8.38      0:03:35   0:00:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1801   0         0.001     1023       8.37      0:03:35   0:00:29   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1830   14        0.000     1023       8.51      0:03:35   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1808   9         0.001     1023       8.40      0:03:35   0:00:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1802   0         0.001     1023       8.38      0:03:35   0:00:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1802   0         0.001     1023       8.38      0:03:35   0:00:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1831   14        0.000     1023       8.51      0:03:35   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1809   9         0.001     1023       8.40      0:03:35   0:00:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1804   0         0.001     1023       8.38      0:03:35   0:00:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1803   0         0.001     1023       8.38      0:03:35   0:00:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1832   14        0.000     1023       8.51      0:03:35   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1810   9         0.001     1023       8.40      0:03:35   0:00:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1805   0         0.001     1023       8.38      0:03:35   0:00:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1804   0         0.001     1023       8.38      0:03:35   0:00:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1834   14        0.000     1023       8.51      0:03:35   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1811   9         0.001     1023       8.40      0:03:35   0:00:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1806   0         0.001     1023       8.38      0:03:35   0:00:28   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1805   0         0.001     1023       8.38      0:03:35   0:00:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1835   14        0.000     1023       8.51      0:03:35   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1812   9         0.001     1023       8.41      0:03:35   0:00:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1807   0         0.001     1023       8.38      0:03:35   0:00:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1806   0         0.001     1023       8.38      0:03:35   0:00:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1836   14        0.000     1023       8.51      0:03:35   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1814   9         0.001     1023       8.41      0:03:35   0:00:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1808   0         0.001     1023       8.38      0:03:35   0:00:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1807   0         0.001     1023       8.38      0:03:35   0:00:28   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1837   14        0.000     1023       8.51      0:03:35   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1815   9         0.001     1023       8.41      0:03:35   0:00:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1810   0         0.001     1023       8.39      0:03:35   0:00:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1808   0         0.001     1023       8.38      0:03:35   0:00:27   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1837   14        0.000     1023       8.51      0:03:35   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1815   9         0.001     1023       8.41      0:03:35   0:00:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1810   0         0.001     1023       8.39      0:03:35   0:00:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1809   0         0.001     1023       8.38      0:03:35   0:00:27   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1838   14        0.000     1023       8.51      0:03:36   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1816   9         0.001     1023       8.40      0:03:36   0:00:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1810   0         0.001     1023       8.39      0:03:36   0:00:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1810   0         0.001     1023       8.38      0:03:36   0:00:27   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1839   14        0.000     1023       8.51      0:03:36   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1816   9         0.001     1023       8.40      0:03:36   0:00:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1811   0         0.001     1023       8.38      0:03:36   0:00:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1810   0         0.001     1023       8.38      0:03:36   0:00:27   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1840   14        0.000     1023       8.50      0:03:36   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1817   9         0.001     1023       8.40      0:03:36   0:00:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1812   0         0.001     1023       8.37      0:03:36   0:00:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1811   0         0.001     1023       8.37      0:03:36   0:00:27   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1841   14        0.000     1023       8.50      0:03:36   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1818   9         0.001     1023       8.40      0:03:36   0:00:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1813   0         0.001     1023       8.37      0:03:36   0:00:27   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1812   0         0.001     1023       8.37      0:03:36   0:00:27   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1841   14        0.000     1023       8.50      0:03:36   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1819   9         0.001     1023       8.40      0:03:36   0:00:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1814   0         0.001     1023       8.38      0:03:36   0:00:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1813   0         0.001     1023       8.37      0:03:36   0:00:27   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1842   14        0.000     1023       8.50      0:03:36   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1819   9         0.001     1023       8.40      0:03:36   0:00:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1814   0         0.001     1023       8.38      0:03:36   0:00:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1813   0         0.001     1023       8.37      0:03:36   0:00:27   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1843   14        0.000     1023       8.50      0:03:36   0:00:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1820   9         0.001     1023       8.39      0:03:36   0:00:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1815   0         0.001     1023       8.37      0:03:36   0:00:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1814   0         0.001     1023       8.37      0:03:36   0:00:27   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1844   14        0.000     1023       8.50      0:03:37   0:00:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1821   9         0.001     1023       8.39      0:03:37   0:00:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1816   0         0.001     1023       8.37      0:03:37   0:00:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1815   0         0.001     1023       8.37      0:03:37   0:00:27   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1845   14        0.000     1023       8.49      0:03:37   0:00:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1822   9         0.001     1023       8.39      0:03:37   0:00:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1817   0         0.001     1023       8.37      0:03:37   0:00:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1816   0         0.001     1023       8.36      0:03:37   0:00:27   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1845   14        0.000     1023       8.49      0:03:37   0:00:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1823   9         0.001     1023       8.39      0:03:37   0:00:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1818   0         0.001     1023       8.37      0:03:37   0:00:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1818   0         0.001     1023       8.37      0:03:37   0:00:26   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1846   14        0.000     1023       8.49      0:03:37   0:00:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1823   9         0.001     1023       8.39      0:03:37   0:00:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1819   0         0.001     1023       8.37      0:03:37   0:00:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1818   0         0.001     1023       8.37      0:03:37   0:00:26   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1847   14        0.000     1023       8.49      0:03:37   0:00:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1824   9         0.001     1023       8.39      0:03:37   0:00:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1820   0         0.001     1023       8.37      0:03:37   0:00:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1819   0         0.001     1023       8.37      0:03:37   0:00:26   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1848   14        0.000     1023       8.49      0:03:37   0:00:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1826   9         0.001     1023       8.39      0:03:37   0:00:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1821   0         0.001     1023       8.37      0:03:37   0:00:26   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1820   0         0.001     1023       8.37      0:03:37   0:00:26   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1850   14        0.000     1023       8.50      0:03:37   0:00:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1827   9         0.001     1023       8.39      0:03:37   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1822   0         0.001     1023       8.37      0:03:37   0:00:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1822   0         0.001     1023       8.37      0:03:37   0:00:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1851   14        0.000     1023       8.50      0:03:37   0:00:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1828   9         0.001     1023       8.39      0:03:37   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1823   0         0.001     1023       8.37      0:03:37   0:00:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1823   0         0.001     1023       8.37      0:03:37   0:00:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1852   14        0.000     1023       8.50      0:03:37   0:00:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1829   9         0.001     1023       8.39      0:03:37   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1824   0         0.001     1023       8.37      0:03:37   0:00:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1824   0         0.001     1023       8.37      0:03:37   0:00:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1853   14        0.000     1023       8.50      0:03:38   0:00:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1830   9         0.001     1023       8.39      0:03:38   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1826   0         0.001     1023       8.37      0:03:38   0:00:25   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1825   0         0.001     1023       8.37      0:03:38   0:00:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1854   14        0.000     1023       8.50      0:03:38   0:00:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1832   9         0.001     1023       8.40      0:03:38   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1827   0         0.001     1023       8.37      0:03:38   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1826   0         0.001     1023       8.37      0:03:38   0:00:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1855   14        0.000     1023       8.50      0:03:38   0:00:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1832   9         0.001     1023       8.40      0:03:38   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1828   0         0.001     1023       8.37      0:03:38   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1827   0         0.001     1023       8.37      0:03:38   0:00:25   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1856   14        0.000     1023       8.50      0:03:38   0:00:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1833   9         0.001     1023       8.39      0:03:38   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1828   0         0.001     1023       8.37      0:03:38   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1828   0         0.001     1023       8.37      0:03:38   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1857   14        0.000     1023       8.50      0:03:38   0:00:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1834   9         0.001     1023       8.39      0:03:38   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1829   0         0.001     1023       8.37      0:03:38   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1829   0         0.001     1023       8.37      0:03:38   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1858   14        0.000     1023       8.49      0:03:38   0:00:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1835   9         0.001     1023       8.39      0:03:38   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1830   0         0.001     1023       8.37      0:03:38   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1830   0         0.001     1023       8.37      0:03:38   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1859   14        0.000     1023       8.49      0:03:38   0:00:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1836   9         0.001     1023       8.39      0:03:38   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1831   0         0.001     1023       8.37      0:03:38   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1831   0         0.001     1023       8.36      0:03:38   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1860   14        0.000     1023       8.49      0:03:39   0:00:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1836   9         0.001     1023       8.39      0:03:39   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1832   0         0.001     1023       8.37      0:03:39   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1832   0         0.001     1023       8.36      0:03:39   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1860   14        0.000     1023       8.49      0:03:39   0:00:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1837   9         0.001     1023       8.39      0:03:39   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1832   0         0.001     1023       8.37      0:03:39   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1832   0         0.001     1023       8.36      0:03:39   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1861   14        0.000     1023       8.49      0:03:39   0:00:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1838   9         0.001     1023       8.38      0:03:39   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1833   0         0.001     1023       8.36      0:03:39   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1833   0         0.001     1023       8.36      0:03:39   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1862   14        0.000     1023       8.49      0:03:39   0:00:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1839   9         0.001     1023       8.38      0:03:39   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1834   0         0.001     1023       8.36      0:03:39   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1834   0         0.001     1023       8.36      0:03:39   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1863   14        0.000     1023       8.49      0:03:39   0:00:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1839   9         0.001     1023       8.38      0:03:39   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1835   0         0.001     1023       8.36      0:03:39   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1835   0         0.001     1023       8.36      0:03:39   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1864   15        0.000     145        8.49      0:03:39   0:00:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1840   9         0.001     1023       8.38      0:03:39   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1835   0         0.001     1023       8.36      0:03:39   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1835   0         0.001     1023       8.36      0:03:39   0:00:24   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1865   15        0.000     1023       8.49      0:03:39   0:00:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1840   9         0.001     1023       8.38      0:03:39   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1836   0         0.001     1023       8.36      0:03:39   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1836   0         0.001     1023       8.36      0:03:39   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1865   15        0.000     1023       8.49      0:03:39   0:00:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1841   9         0.001     1023       8.38      0:03:39   0:00:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1836   0         0.001     1023       8.36      0:03:39   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1836   0         0.001     1023       8.36      0:03:39   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1866   15        0.000     1023       8.48      0:03:40   0:00:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1842   9         0.001     1023       8.37      0:03:40   0:00:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1837   0         0.001     1023       8.35      0:03:40   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1837   0         0.001     1023       8.35      0:03:40   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1867   15        0.000     1023       8.48      0:03:40   0:00:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1843   9         0.001     1023       8.37      0:03:40   0:00:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1838   0         0.001     1023       8.35      0:03:40   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1838   0         0.001     1023       8.35      0:03:40   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1868   15        0.000     1023       8.48      0:03:40   0:00:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1844   9         0.001     1023       8.37      0:03:40   0:00:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1839   0         0.001     1023       8.35      0:03:40   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1839   0         0.001     1023       8.35      0:03:40   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1869   15        0.000     1023       8.48      0:03:40   0:00:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1844   9         0.001     1023       8.37      0:03:40   0:00:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1840   0         0.001     1023       8.35      0:03:40   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1840   0         0.001     1023       8.35      0:03:40   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1870   15        0.000     1023       8.48      0:03:40   0:00:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1846   9         0.001     1023       8.37      0:03:40   0:00:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1841   0         0.001     1023       8.35      0:03:40   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1841   0         0.001     1023       8.35      0:03:40   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1871   15        0.000     1023       8.48      0:03:40   0:00:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1847   9         0.001     1023       8.37      0:03:40   0:00:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1842   0         0.001     1023       8.35      0:03:40   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1842   0         0.001     1023       8.35      0:03:40   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1872   15        0.000     1023       8.48      0:03:40   0:00:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1847   9         0.001     1023       8.37      0:03:40   0:00:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1843   0         0.001     1023       8.35      0:03:40   0:00:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1843   0         0.001     1023       8.35      0:03:40   0:00:23   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1873   15        0.000     1023       8.48      0:03:40   0:00:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1848   9         0.001     1023       8.37      0:03:40   0:00:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1844   0         0.001     1023       8.35      0:03:40   0:00:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1844   0         0.001     1023       8.35      0:03:40   0:00:22   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1873   15        0.000     1023       8.48      0:03:40   0:00:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1849   9         0.001     1023       8.37      0:03:40   0:00:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1845   0         0.001     1023       8.35      0:03:40   0:00:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1844   0         0.001     1023       8.35      0:03:40   0:00:22   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1874   15        0.000     1023       8.48      0:03:41   0:00:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1850   9         0.001     1023       8.37      0:03:41   0:00:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1845   0         0.001     1023       8.35      0:03:41   0:00:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1845   0         0.001     1023       8.35      0:03:41   0:00:22   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1875   15        0.000     1023       8.47      0:03:41   0:00:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1851   9         0.001     1023       8.37      0:03:41   0:00:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1846   0         0.001     1023       8.35      0:03:41   0:00:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1846   0         0.001     1023       8.34      0:03:41   0:00:22   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1875   15        0.000     1023       8.47      0:03:41   0:00:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1852   9         0.001     1023       8.36      0:03:41   0:00:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1847   0         0.001     1023       8.34      0:03:41   0:00:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1847   0         0.001     1023       8.34      0:03:41   0:00:22   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1876   15        0.000     1023       8.46      0:03:41   0:00:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1852   9         0.001     1023       8.36      0:03:41   0:00:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1848   0         0.001     1023       8.34      0:03:41   0:00:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1847   0         0.001     1023       8.34      0:03:41   0:00:22   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1877   15        0.000     1023       8.46      0:03:41   0:00:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1853   9         0.001     1023       8.35      0:03:41   0:00:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1848   0         0.001     1023       8.34      0:03:41   0:00:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1848   0         0.001     1023       8.33      0:03:41   0:00:22   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1877   15        0.000     1023       8.46      0:03:41   0:00:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1854   9         0.001     1023       8.35      0:03:41   0:00:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1849   0         0.001     1023       8.33      0:03:41   0:00:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1849   0         0.001     1023       8.33      0:03:41   0:00:22   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1879   15        0.000     431        8.46      0:03:42   0:00:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1855   9         0.001     1023       8.35      0:03:42   0:00:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1850   0         0.001     1023       8.33      0:03:42   0:00:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1849   0         0.001     1023       8.33      0:03:42   0:00:22   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1881   16        0.000     361        8.46      0:03:42   0:00:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1856   9         0.001     1023       8.35      0:03:42   0:00:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1851   0         0.001     1023       8.33      0:03:42   0:00:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1850   0         0.001     1023       8.33      0:03:42   0:00:22   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1882   16        0.000     1023       8.46      0:03:42   0:00:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1857   9         0.001     1023       8.35      0:03:42   0:00:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1852   0         0.001     1023       8.33      0:03:42   0:00:22   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1852   0         0.001     1023       8.33      0:03:42   0:00:22   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1883   16        0.000     1023       8.46      0:03:42   0:00:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1858   9         0.001     1023       8.35      0:03:42   0:00:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1853   0         0.001     1023       8.33      0:03:42   0:00:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1853   0         0.001     1023       8.33      0:03:42   0:00:21   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1884   16        0.000     1023       8.46      0:03:42   0:00:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1859   9         0.001     1023       8.35      0:03:42   0:00:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1854   0         0.001     1023       8.33      0:03:42   0:00:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1854   0         0.001     1023       8.33      0:03:42   0:00:21   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1885   16        0.000     1023       8.46      0:03:42   0:00:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1860   9         0.001     1023       8.35      0:03:42   0:00:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1855   0         0.001     1023       8.33      0:03:42   0:00:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1855   0         0.001     1023       8.33      0:03:42   0:00:21   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1886   16        0.000     1023       8.47      0:03:42   0:00:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1861   9         0.001     1023       8.35      0:03:42   0:00:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1856   0         0.001     1023       8.33      0:03:42   0:00:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1856   0         0.001     1023       8.33      0:03:42   0:00:21   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1887   16        0.000     1023       8.47      0:03:42   0:00:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1862   9         0.001     1023       8.35      0:03:42   0:00:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1857   0         0.001     1023       8.33      0:03:42   0:00:21   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m   1857   0         0.001     1023       8.33      0:03:42   0:00:21   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1888   16        0.000     1023       8.47      0:03:43   0:00:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1863   9         0.001     1023       8.35      0:03:43   0:00:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1858   0         0.001     1023       8.33      0:03:43   0:00:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1858   0         0.001     1023       8.33      0:03:43   0:00:20   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1890   16        0.000     1023       8.47      0:03:43   0:00:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1864   9         0.001     1023       8.35      0:03:43   0:00:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1860   0         0.001     1023       8.33      0:03:43   0:00:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1859   0         0.001     1023       8.33      0:03:43   0:00:20   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1891   16        0.000     1023       8.47      0:03:43   0:00:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1865   9         0.001     1023       8.36      0:03:43   0:00:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1861   0         0.001     1023       8.33      0:03:43   0:00:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1861   0         0.001     1023       8.33      0:03:43   0:00:20   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1892   16        0.000     1023       8.47      0:03:43   0:00:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1867   9         0.001     1023       8.36      0:03:43   0:00:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1862   0         0.001     1023       8.33      0:03:43   0:00:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1862   0         0.001     1023       8.34      0:03:43   0:00:20   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1892   16        0.000     1023       8.47      0:03:43   0:00:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1867   9         0.001     1023       8.36      0:03:43   0:00:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1862   0         0.001     1023       8.33      0:03:43   0:00:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1862   0         0.001     1023       8.34      0:03:43   0:00:20   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1893   16        0.000     1023       8.47      0:03:43   0:00:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1868   9         0.001     1023       8.35      0:03:43   0:00:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1863   0         0.001     1023       8.33      0:03:43   0:00:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1863   0         0.001     1023       8.33      0:03:43   0:00:20   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1894   16        0.000     1023       8.47      0:03:43   0:00:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1869   9         0.001     1023       8.35      0:03:43   0:00:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1864   0         0.001     1023       8.33      0:03:43   0:00:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1864   0         0.001     1023       8.33      0:03:43   0:00:20   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1895   16        0.000     1023       8.47      0:03:43   0:00:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1870   9         0.001     1023       8.35      0:03:43   0:00:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1865   0         0.001     1023       8.33      0:03:43   0:00:20   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1865   0         0.001     1023       8.33      0:03:43   0:00:20   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1896   16        0.000     1023       8.46      0:03:44   0:00:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1871   9         0.001     1023       8.35      0:03:44   0:00:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1866   0         0.001     1023       8.33      0:03:44   0:00:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1866   0         0.001     1023       8.33      0:03:44   0:00:19   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1897   16        0.000     1023       8.46      0:03:44   0:00:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1872   9         0.001     1023       8.35      0:03:44   0:00:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1867   0         0.001     1023       8.33      0:03:44   0:00:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1867   0         0.001     1023       8.33      0:03:44   0:00:19   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1898   16        0.000     1023       8.46      0:03:44   0:00:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1873   9         0.001     1023       8.35      0:03:44   0:00:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1868   0         0.001     1023       8.33      0:03:44   0:00:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1868   0         0.001     1023       8.33      0:03:44   0:00:19   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1898   16        0.000     1023       8.46      0:03:44   0:00:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1873   9         0.001     1023       8.35      0:03:44   0:00:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1869   0         0.001     1023       8.33      0:03:44   0:00:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1868   0         0.001     1023       8.33      0:03:44   0:00:19   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1899   16        0.000     1023       8.46      0:03:44   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1874   9         0.001     1023       8.35      0:03:44   0:00:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1869   0         0.001     1023       8.33      0:03:44   0:00:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1869   0         0.001     1023       8.33      0:03:44   0:00:19   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1900   16        0.000     1023       8.46      0:03:44   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1875   9         0.001     1023       8.35      0:03:44   0:00:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1870   0         0.001     1023       8.33      0:03:44   0:00:19   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1870   0         0.001     1023       8.33      0:03:44   0:00:19   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1902   16        0.000     1023       8.46      0:03:44   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1876   9         0.001     1023       8.35      0:03:44   0:00:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1872   0         0.001     1023       8.33      0:03:44   0:00:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1871   0         0.001     1023       8.33      0:03:44   0:00:19   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1903   16        0.000     1023       8.46      0:03:44   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1877   9         0.001     1023       8.35      0:03:44   0:00:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1873   0         0.001     1023       8.33      0:03:44   0:00:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1872   0         0.001     1023       8.33      0:03:44   0:00:18   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1903   16        0.000     1023       8.46      0:03:44   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1878   9         0.001     1023       8.35      0:03:44   0:00:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1873   0         0.001     1023       8.33      0:03:44   0:00:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1873   0         0.001     1023       8.33      0:03:44   0:00:18   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1905   16        0.000     1023       8.46      0:03:45   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1879   9         0.001     1023       8.35      0:03:45   0:00:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1875   0         0.001     1023       8.33      0:03:45   0:00:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1874   0         0.001     1023       8.33      0:03:45   0:00:18   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1906   16        0.000     1023       8.46      0:03:45   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1880   9         0.001     1023       8.35      0:03:45   0:00:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1876   0         0.001     1023       8.33      0:03:45   0:00:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1876   0         0.001     1023       8.33      0:03:45   0:00:18   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1907   16        0.000     1023       8.47      0:03:45   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1882   9         0.001     1023       8.35      0:03:45   0:00:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1877   0         0.001     1023       8.33      0:03:45   0:00:18   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1877   0         0.001     1023       8.33      0:03:45   0:00:18   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1908   16        0.000     1023       8.47      0:03:45   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1883   9         0.001     1023       8.35      0:03:45   0:00:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1878   0         0.001     1023       8.33      0:03:45   0:00:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1878   0         0.001     1023       8.33      0:03:45   0:00:17   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1909   16        0.000     1023       8.47      0:03:45   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1884   9         0.001     1023       8.36      0:03:45   0:00:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1879   0         0.001     1023       8.33      0:03:45   0:00:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1879   0         0.001     1023       8.33      0:03:45   0:00:17   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1911   16        0.000     1023       8.47      0:03:45   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1885   9         0.001     1023       8.36      0:03:45   0:00:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1880   0         0.001     1023       8.33      0:03:45   0:00:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1880   0         0.001     1023       8.33      0:03:45   0:00:17   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1911   16        0.000     1023       8.47      0:03:45   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1886   9         0.001     1023       8.36      0:03:45   0:00:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1880   0         0.001     1023       8.33      0:03:45   0:00:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1880   0         0.001     1023       8.33      0:03:45   0:00:17   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1912   16        0.000     1023       8.46      0:03:45   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1886   9         0.001     1023       8.36      0:03:45   0:00:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1881   0         0.001     1023       8.33      0:03:45   0:00:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1881   0         0.001     1023       8.33      0:03:45   0:00:17   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1913   16        0.000     1023       8.46      0:03:46   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1887   9         0.001     1023       8.35      0:03:46   0:00:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1882   0         0.001     1023       8.33      0:03:46   0:00:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1882   0         0.001     1023       8.33      0:03:46   0:00:17   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1913   16        0.000     1023       8.46      0:03:46   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1888   9         0.001     1023       8.35      0:03:46   0:00:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1882   0         0.001     1023       8.33      0:03:46   0:00:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1882   0         0.001     1023       8.33      0:03:46   0:00:17   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1914   16        0.000     1023       8.46      0:03:46   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1888   9         0.001     1023       8.35      0:03:46   0:00:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1883   0         0.001     1023       8.32      0:03:46   0:00:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1883   0         0.001     1023       8.32      0:03:46   0:00:17   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1915   16        0.000     1023       8.46      0:03:46   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1889   9         0.001     1023       8.35      0:03:46   0:00:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1884   0         0.001     1023       8.32      0:03:46   0:00:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1884   0         0.001     1023       8.32      0:03:46   0:00:17   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1916   16        0.000     1023       8.45      0:03:46   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1890   9         0.001     1023       8.34      0:03:46   0:00:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1885   0         0.001     1023       8.32      0:03:46   0:00:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1885   0         0.001     1023       8.32      0:03:46   0:00:17   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1917   16        0.000     1023       8.45      0:03:46   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1891   9         0.001     1023       8.34      0:03:46   0:00:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1886   0         0.001     1023       8.32      0:03:46   0:00:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1886   0         0.001     1023       8.32      0:03:46   0:00:16   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1917   16        0.000     1023       8.45      0:03:46   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1891   9         0.001     1023       8.34      0:03:46   0:00:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1886   0         0.001     1023       8.32      0:03:46   0:00:17   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1887   0         0.001     1023       8.32      0:03:46   0:00:16   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1918   16        0.000     1023       8.45      0:03:46   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1892   9         0.001     1023       8.34      0:03:46   0:00:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1887   0         0.001     1023       8.32      0:03:46   0:00:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1887   0         0.001     1023       8.32      0:03:46   0:00:16   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1918   16        0.000     1023       8.45      0:03:47   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1893   9         0.001     1023       8.34      0:03:47   0:00:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1888   0         0.001     1023       8.32      0:03:47   0:00:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1888   0         0.001     1023       8.32      0:03:47   0:00:16   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1919   16        0.000     1023       8.45      0:03:47   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1894   9         0.001     1023       8.33      0:03:47   0:00:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1888   0         0.001     1023       8.32      0:03:47   0:00:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1889   0         0.001     1023       8.31      0:03:47   0:00:16   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1920   16        0.000     1023       8.45      0:03:47   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1895   9         0.001     1023       8.33      0:03:47   0:00:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1889   0         0.001     1023       8.31      0:03:47   0:00:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1890   0         0.001     1023       8.31      0:03:47   0:00:16   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1921   16        0.000     1023       8.45      0:03:47   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1896   9         0.001     1023       8.33      0:03:47   0:00:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1890   0         0.001     1023       8.31      0:03:47   0:00:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1891   0         0.001     1023       8.31      0:03:47   0:00:16   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1923   16        0.000     1023       8.45      0:03:47   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1897   9         0.001     1023       8.34      0:03:47   0:00:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1892   0         0.001     1023       8.31      0:03:47   0:00:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1892   0         0.001     1023       8.31      0:03:47   0:00:16   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1924   16        0.000     1023       8.45      0:03:47   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1898   9         0.001     1023       8.34      0:03:47   0:00:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1893   0         0.001     1023       8.31      0:03:47   0:00:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1893   0         0.001     1023       8.32      0:03:47   0:00:15   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1924   16        0.000     1023       8.45      0:03:47   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1899   9         0.001     1023       8.34      0:03:47   0:00:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1893   0         0.001     1023       8.31      0:03:47   0:00:16   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1894   0         0.001     1023       8.32      0:03:47   0:00:15   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1926   16        0.000     1023       8.45      0:03:47   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1900   9         0.001     1023       8.34      0:03:47   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1895   0         0.001     1023       8.31      0:03:47   0:00:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1895   0         0.001     1023       8.32      0:03:47   0:00:15   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1927   16        0.000     1023       8.45      0:03:48   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1901   9         0.001     1023       8.34      0:03:48   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1896   0         0.001     1023       8.31      0:03:48   0:00:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1897   0         0.001     1023       8.32      0:03:48   0:00:15   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1928   16        0.000     1023       8.45      0:03:48   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1903   9         0.001     1023       8.34      0:03:48   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1897   0         0.001     1023       8.31      0:03:48   0:00:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1898   0         0.001     1023       8.32      0:03:48   0:00:15   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1929   16        0.000     1023       8.45      0:03:48   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1904   9         0.001     1023       8.34      0:03:48   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1898   0         0.001     1023       8.32      0:03:48   0:00:15   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1899   0         0.001     1023       8.32      0:03:48   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1930   16        0.000     1023       8.45      0:03:48   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1904   9         0.001     1023       8.34      0:03:48   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1899   0         0.001     1023       8.32      0:03:48   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1900   0         0.001     1023       8.32      0:03:48   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1930   16        0.000     1023       8.45      0:03:48   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1905   9         0.001     1023       8.34      0:03:48   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1899   0         0.001     1023       8.32      0:03:48   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1900   0         0.001     1023       8.32      0:03:48   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1931   16        0.000     1023       8.44      0:03:48   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1906   9         0.001     1023       8.33      0:03:48   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1900   0         0.001     1023       8.31      0:03:48   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1901   0         0.001     1023       8.31      0:03:48   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1932   16        0.000     1023       8.44      0:03:48   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1906   9         0.001     1023       8.33      0:03:48   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1901   0         0.001     1023       8.31      0:03:48   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1902   0         0.001     1023       8.31      0:03:48   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1932   16        0.000     1023       8.44      0:03:48   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1907   9         0.001     1023       8.33      0:03:48   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1901   0         0.001     1023       8.31      0:03:48   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1902   0         0.001     1023       8.31      0:03:48   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1933   16        0.000     1023       8.44      0:03:49   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1908   9         0.001     1023       8.33      0:03:49   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1902   0         0.001     1023       8.31      0:03:49   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1903   0         0.001     1023       8.31      0:03:49   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1934   16        0.000     1023       8.44      0:03:49   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1909   9         0.001     1023       8.33      0:03:49   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1904   0         0.001     1023       8.31      0:03:49   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1904   0         0.001     1023       8.31      0:03:49   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1935   16        0.000     1023       8.44      0:03:49   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1910   9         0.001     1023       8.33      0:03:49   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1904   0         0.001     1023       8.31      0:03:49   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1905   0         0.001     1023       8.31      0:03:49   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1936   16        0.000     1023       8.44      0:03:49   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1911   9         0.001     1023       8.33      0:03:49   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1905   0         0.001     1023       8.30      0:03:49   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1905   0         0.001     1023       8.31      0:03:49   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1937   16        0.000     1023       8.44      0:03:49   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1911   9         0.001     1023       8.33      0:03:49   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1905   0         0.001     1023       8.30      0:03:49   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1906   0         0.001     1023       8.31      0:03:49   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1937   16        0.000     1023       8.44      0:03:49   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1912   9         0.001     1023       8.33      0:03:49   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1906   0         0.001     1023       8.30      0:03:49   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1907   0         0.001     1023       8.30      0:03:49   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1938   16        0.000     1023       8.43      0:03:49   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1913   9         0.001     1023       8.32      0:03:49   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1907   0         0.001     1023       8.30      0:03:49   0:00:14   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1907   0         0.001     1023       8.30      0:03:49   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1939   16        0.000     1023       8.43      0:03:49   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1914   9         0.001     1023       8.32      0:03:49   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1908   0         0.001     1023       8.30      0:03:49   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1908   0         0.001     1023       8.30      0:03:49   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1940   16        0.000     1023       8.43      0:03:50   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1915   9         0.001     1023       8.32      0:03:50   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1909   0         0.001     1023       8.30      0:03:50   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1909   0         0.001     1023       8.30      0:03:50   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1941   16        0.000     1023       8.43      0:03:50   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1915   9         0.001     1023       8.32      0:03:50   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1909   0         0.001     1023       8.30      0:03:50   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1910   0         0.001     1023       8.30      0:03:50   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1942   16        0.000     1023       8.43      0:03:50   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1916   9         0.001     1023       8.32      0:03:50   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1910   0         0.001     1023       8.30      0:03:50   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1911   0         0.001     1023       8.30      0:03:50   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1943   16        0.000     1023       8.43      0:03:50   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1917   9         0.001     1023       8.32      0:03:50   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1911   0         0.001     1023       8.30      0:03:50   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1912   0         0.001     1023       8.30      0:03:50   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1944   16        0.000     1023       8.43      0:03:50   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1918   9         0.001     1023       8.32      0:03:50   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1912   0         0.001     1023       8.30      0:03:50   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1913   0         0.001     1023       8.30      0:03:50   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1945   16        0.000     1023       8.43      0:03:50   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1919   9         0.001     1023       8.32      0:03:50   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1913   0         0.001     1023       8.30      0:03:50   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1914   0         0.001     1023       8.30      0:03:50   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1946   16        0.000     1023       8.43      0:03:50   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1920   9         0.001     1023       8.32      0:03:50   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1914   0         0.001     1023       8.30      0:03:50   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1914   0         0.001     1023       8.30      0:03:50   0:00:13   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1946   16        0.000     1023       8.43      0:03:50   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1921   9         0.001     1023       8.32      0:03:50   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1915   0         0.001     1023       8.30      0:03:50   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1915   0         0.001     1023       8.30      0:03:50   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1947   16        0.000     1023       8.43      0:03:51   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1922   9         0.001     1023       8.32      0:03:51   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1916   0         0.001     1023       8.30      0:03:50   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1916   0         0.001     1023       8.30      0:03:50   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1948   16        0.000     1023       8.43      0:03:51   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1922   9         0.001     1023       8.32      0:03:51   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1916   0         0.001     1023       8.30      0:03:51   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1917   0         0.001     1023       8.30      0:03:51   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1949   16        0.000     1023       8.43      0:03:51   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1923   9         0.001     1023       8.32      0:03:51   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1917   0         0.001     1023       8.29      0:03:51   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1918   0         0.001     1023       8.29      0:03:51   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1950   16        0.000     1023       8.43      0:03:51   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1924   9         0.001     1023       8.32      0:03:51   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1918   0         0.001     1023       8.29      0:03:51   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1918   0         0.001     1023       8.29      0:03:51   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1950   16        0.000     1023       8.43      0:03:51   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1924   9         0.001     1023       8.32      0:03:51   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1919   0         0.001     1023       8.29      0:03:51   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1919   0         0.001     1023       8.29      0:03:51   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1951   16        0.000     1023       8.42      0:03:51   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1925   9         0.001     1023       8.31      0:03:51   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1920   0         0.001     1023       8.29      0:03:51   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1920   0         0.001     1023       8.29      0:03:51   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1952   16        0.000     1023       8.42      0:03:51   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1926   9         0.001     1023       8.31      0:03:51   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1921   0         0.001     1023       8.29      0:03:51   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1921   0         0.001     1023       8.29      0:03:51   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1953   16        0.000     1023       8.42      0:03:51   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1927   9         0.001     1023       8.31      0:03:51   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1921   0         0.001     1023       8.29      0:03:51   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1922   0         0.001     1023       8.29      0:03:51   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1953   16        0.000     1023       8.42      0:03:51   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1927   9         0.001     1023       8.31      0:03:51   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1922   0         0.001     1023       8.29      0:03:51   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1922   0         0.001     1023       8.29      0:03:51   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1954   16        0.000     1023       8.42      0:03:52   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1928   9         0.001     1023       8.31      0:03:52   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1922   0         0.001     1023       8.29      0:03:52   0:00:12   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1923   0         0.001     1023       8.29      0:03:52   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1955   16        0.000     1023       8.42      0:03:52   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1930   9         0.001     1023       8.31      0:03:52   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1923   0         0.001     1023       8.28      0:03:52   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1924   0         0.001     1023       8.29      0:03:52   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1955   16        0.000     1023       8.42      0:03:52   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1930   9         0.001     1023       8.31      0:03:52   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1923   0         0.001     1023       8.28      0:03:52   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1924   0         0.001     1023       8.29      0:03:52   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1956   16        0.000     1023       8.41      0:03:52   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1931   9         0.001     1023       8.31      0:03:52   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1924   0         0.001     1023       8.28      0:03:52   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1925   0         0.001     1023       8.28      0:03:52   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1957   16        0.000     1023       8.42      0:03:52   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1932   9         0.001     1023       8.31      0:03:52   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1925   0         0.001     1023       8.28      0:03:52   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1926   0         0.001     1023       8.28      0:03:52   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1958   16        0.000     1023       8.42      0:03:52   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1933   9         0.001     1023       8.31      0:03:52   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1926   0         0.001     1023       8.28      0:03:52   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1927   0         0.001     1023       8.28      0:03:52   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1960   17        0.000     1023       8.42      0:03:52   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1934   9         0.001     1023       8.31      0:03:52   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1927   0         0.001     1023       8.28      0:03:52   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1928   0         0.001     1023       8.28      0:03:52   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1961   17        0.000     1023       8.42      0:03:52   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1935   9         0.001     1023       8.31      0:03:52   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1929   0         0.001     1023       8.28      0:03:52   0:00:11   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1930   0         0.001     1023       8.29      0:03:52   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1962   17        0.000     1023       8.42      0:03:53   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1936   9         0.001     1023       8.31      0:03:53   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1930   0         0.001     1023       8.28      0:03:53   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1931   0         0.001     1023       8.29      0:03:53   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1963   17        0.000     1023       8.42      0:03:53   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1937   9         0.001     1023       8.31      0:03:53   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1930   0         0.001     1023       8.28      0:03:53   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1931   0         0.001     1023       8.29      0:03:53   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1963   17        0.000     1023       8.42      0:03:53   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1937   9         0.001     1023       8.31      0:03:53   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1931   0         0.001     1023       8.28      0:03:53   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1932   0         0.001     1023       8.28      0:03:53   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1964   17        0.000     1023       8.42      0:03:53   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1938   9         0.001     1023       8.31      0:03:53   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1932   0         0.001     1023       8.28      0:03:53   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1933   0         0.001     1023       8.28      0:03:53   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1965   17        0.000     1023       8.42      0:03:53   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1939   9         0.001     1023       8.31      0:03:53   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1933   0         0.001     1023       8.28      0:03:53   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1934   0         0.001     1023       8.28      0:03:53   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1966   17        0.000     1023       8.42      0:03:53   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1940   9         0.001     1023       8.31      0:03:53   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1934   0         0.001     1023       8.28      0:03:53   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1935   0         0.001     1023       8.28      0:03:53   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1967   17        0.000     1023       8.42      0:03:53   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1941   9         0.001     1023       8.31      0:03:53   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1935   0         0.001     1023       8.28      0:03:53   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1936   0         0.001     1023       8.28      0:03:53   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1968   17        0.000     1023       8.41      0:03:53   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1942   9         0.001     1023       8.30      0:03:53   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1935   0         0.001     1023       8.28      0:03:53   0:00:10   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1936   0         0.001     1023       8.28      0:03:53   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1968   17        0.000     1023       8.41      0:03:54   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1942   9         0.001     1023       8.30      0:03:54   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1936   0         0.001     1023       8.27      0:03:54   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1937   0         0.001     1023       8.28      0:03:54   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1969   17        0.000     1023       8.41      0:03:54   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1943   9         0.001     1023       8.30      0:03:54   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1937   0         0.001     1023       8.27      0:03:54   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1937   0         0.001     1023       8.28      0:03:54   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1970   17        0.000     1023       8.41      0:03:54   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1944   9         0.001     1023       8.29      0:03:54   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1937   0         0.001     1023       8.27      0:03:54   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1938   0         0.001     1023       8.27      0:03:54   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1971   17        0.000     1023       8.40      0:03:54   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1944   9         0.001     1023       8.29      0:03:54   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1938   0         0.001     1023       8.27      0:03:54   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1939   0         0.001     1023       8.27      0:03:54   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1971   17        0.000     1023       8.40      0:03:54   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1945   9         0.001     1023       8.29      0:03:54   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1939   0         0.001     1023       8.27      0:03:54   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1940   0         0.001     1023       8.27      0:03:54   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1972   17        0.000     1023       8.40      0:03:54   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1946   9         0.001     1023       8.29      0:03:54   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1940   0         0.001     1023       8.26      0:03:54   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1941   0         0.001     1023       8.27      0:03:54   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1973   17        0.000     1023       8.40      0:03:54   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1947   9         0.001     1023       8.29      0:03:54   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1940   0         0.001     1023       8.26      0:03:54   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1942   0         0.001     1023       8.27      0:03:54   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1974   17        0.000     1023       8.40      0:03:55   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1948   9         0.001     1023       8.29      0:03:55   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1941   0         0.001     1023       8.26      0:03:55   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1942   0         0.001     1023       8.27      0:03:55   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1974   17        0.000     1023       8.40      0:03:55   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1948   9         0.001     1023       8.29      0:03:55   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1942   0         0.001     1023       8.26      0:03:55   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1943   0         0.001     1023       8.26      0:03:55   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1975   17        0.000     1023       8.40      0:03:55   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1949   9         0.001     1023       8.28      0:03:55   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1942   0         0.001     1023       8.26      0:03:55   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1944   0         0.001     1023       8.26      0:03:55   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1976   17        0.000     1023       8.40      0:03:55   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1950   9         0.001     1023       8.28      0:03:55   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1943   0         0.001     1023       8.26      0:03:55   0:00:09   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1945   0         0.001     1023       8.26      0:03:55   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1977   17        0.000     1023       8.40      0:03:55   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1950   9         0.001     1023       8.28      0:03:55   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1944   0         0.001     1023       8.26      0:03:55   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1945   0         0.001     1023       8.26      0:03:55   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1978   17        0.000     1023       8.39      0:03:55   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1951   9         0.001     1023       8.28      0:03:55   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1945   0         0.001     1023       8.25      0:03:55   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1946   0         0.001     1023       8.26      0:03:55   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1979   17        0.000     1023       8.39      0:03:55   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1952   9         0.001     1023       8.28      0:03:55   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1946   0         0.001     1023       8.25      0:03:55   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1947   0         0.001     1023       8.26      0:03:55   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1980   17        0.000     1023       8.39      0:03:55   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1953   9         0.001     1023       8.28      0:03:55   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1947   0         0.001     1023       8.25      0:03:55   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1948   0         0.001     1023       8.26      0:03:55   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1981   17        0.000     1023       8.39      0:03:56   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1954   9         0.001     1023       8.28      0:03:56   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1948   0         0.001     1023       8.25      0:03:56   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1949   0         0.001     1023       8.26      0:03:56   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1981   17        0.000     1023       8.39      0:03:56   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1955   9         0.001     1023       8.28      0:03:56   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1948   0         0.001     1023       8.25      0:03:56   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1950   0         0.001     1023       8.26      0:03:56   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1982   17        0.000     1023       8.39      0:03:56   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1956   9         0.001     1023       8.28      0:03:56   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1949   0         0.001     1023       8.25      0:03:56   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1951   0         0.001     1023       8.26      0:03:56   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1983   17        0.000     1023       8.39      0:03:56   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1957   9         0.001     1023       8.28      0:03:56   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1950   0         0.001     1023       8.25      0:03:56   0:00:08   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1952   0         0.001     1023       8.26      0:03:56   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1984   17        0.000     1023       8.39      0:03:56   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1958   9         0.001     1023       8.28      0:03:56   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1951   0         0.001     1023       8.25      0:03:56   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1953   0         0.001     1023       8.26      0:03:56   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1985   17        0.000     1023       8.39      0:03:56   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1959   9         0.001     1023       8.28      0:03:56   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1952   0         0.001     1023       8.25      0:03:56   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1954   0         0.001     1023       8.26      0:03:56   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1987   17        0.000     1023       8.39      0:03:56   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1960   9         0.001     1023       8.28      0:03:56   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1954   0         0.001     1023       8.25      0:03:56   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1955   0         0.001     1023       8.26      0:03:56   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1987   17        0.000     1023       8.39      0:03:56   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1961   9         0.001     1023       8.28      0:03:56   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1954   0         0.001     1023       8.25      0:03:56   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1956   0         0.001     1023       8.26      0:03:56   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1988   17        0.000     1023       8.39      0:03:57   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1962   9         0.001     1023       8.28      0:03:57   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1955   0         0.001     1023       8.25      0:03:57   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1957   0         0.001     1023       8.26      0:03:57   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1989   17        0.000     1023       8.39      0:03:57   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1963   9         0.001     1023       8.28      0:03:57   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1957   0         0.001     1023       8.25      0:03:57   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1958   0         0.001     1023       8.26      0:03:57   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1990   17        0.000     1023       8.39      0:03:57   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1964   9         0.001     1023       8.28      0:03:57   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1957   0         0.001     1023       8.25      0:03:57   0:00:07   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1959   0         0.001     1023       8.26      0:03:57   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1990   17        0.000     1023       8.39      0:03:57   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1964   9         0.001     1023       8.28      0:03:57   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1958   0         0.001     1023       8.25      0:03:57   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1959   0         0.001     1023       8.26      0:03:57   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1991   17        0.000     1023       8.38      0:03:57   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1965   9         0.001     1023       8.27      0:03:57   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1958   0         0.001     1023       8.25      0:03:57   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1960   0         0.001     1023       8.25      0:03:57   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1992   17        0.000     1023       8.38      0:03:57   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1966   9         0.001     1023       8.27      0:03:57   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1959   0         0.001     1023       8.25      0:03:57   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1961   0         0.001     1023       8.25      0:03:57   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1993   17        0.000     1023       8.38      0:03:57   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1967   9         0.001     1023       8.27      0:03:57   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1960   0         0.001     1023       8.24      0:03:57   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1962   0         0.001     1023       8.25      0:03:57   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1994   17        0.000     1023       8.38      0:03:57   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1968   9         0.001     1023       8.27      0:03:57   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1961   0         0.001     1023       8.24      0:03:57   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1963   0         0.001     1023       8.25      0:03:57   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1995   17        0.000     1023       8.38      0:03:58   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1968   9         0.001     1023       8.27      0:03:58   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1962   0         0.001     1023       8.24      0:03:58   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1963   0         0.001     1023       8.25      0:03:58   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1996   17        0.000     1023       8.38      0:03:58   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1970   9         0.001     1023       8.27      0:03:58   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1963   0         0.001     1023       8.24      0:03:58   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1964   0         0.001     1023       8.25      0:03:58   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1997   17        0.000     1023       8.38      0:03:58   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1971   9         0.001     1023       8.27      0:03:58   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1964   0         0.001     1023       8.24      0:03:58   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1965   0         0.001     1023       8.25      0:03:58   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1997   17        0.000     1023       8.38      0:03:58   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1971   9         0.001     1023       8.27      0:03:58   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1964   0         0.001     1023       8.24      0:03:58   0:00:06   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1966   0         0.001     1023       8.25      0:03:58   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1998   17        0.000     1023       8.38      0:03:58   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1972   9         0.001     1023       8.27      0:03:58   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1965   0         0.001     1023       8.24      0:03:58   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1967   0         0.001     1023       8.25      0:03:58   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1999   17        0.000     1023       8.38      0:03:58   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1973   9         0.001     1023       8.27      0:03:58   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1966   0         0.001     1023       8.24      0:03:58   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1968   0         0.001     1023       8.25      0:03:58   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━━\u001b[0m   2000   17        0.000     1023       8.38      0:03:58   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1973   9         0.001     1023       8.27      0:03:58   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1966   0         0.001     1023       8.24      0:03:58   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1968   0         0.001     1023       8.25      0:03:58   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━━\u001b[0m   2000   17        0.000     1023       8.38      0:03:58   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1974   9         0.001     1023       8.27      0:03:58   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1967   0         0.001     1023       8.24      0:03:58   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1969   0         0.001     1023       8.25      0:03:58   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━━\u001b[0m   2000   17        0.000     1023       8.38      0:03:58   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1975   9         0.001     1023       8.27      0:03:58   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1968   0         0.001     1023       8.24      0:03:58   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1970   0         0.001     1023       8.25      0:03:58   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━━\u001b[0m   2000   17        0.000     1023       8.38      0:03:58   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1976   9         0.001     1023       8.27      0:03:59   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1970   0         0.001     1023       8.24      0:03:59   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1971   0         0.001     1023       8.25      0:03:59   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━━\u001b[0m   2000   17        0.000     1023       8.38      0:03:58   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1978   9         0.001     1023       8.27      0:03:59   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1971   0         0.001     1023       8.24      0:03:59   0:00:05   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1972   0         0.001     1023       8.25      0:03:59   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━━\u001b[0m   2000   17        0.000     1023       8.38      0:03:58   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1979   9         0.001     1023       8.27      0:03:59   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1972   0         0.001     1023       8.24      0:03:59   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1973   0         0.001     1023       8.25      0:03:59   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━━\u001b[0m   2000   17        0.000     1023       8.38      0:03:58   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1979   9         0.001     1023       8.27      0:03:59   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1973   0         0.001     1023       8.24      0:03:59   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1974   0         0.001     1023       8.25      0:03:59   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━━\u001b[0m   2000   17        0.000     1023       8.38      0:03:58   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1980   9         0.001     1023       8.27      0:03:59   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1974   0         0.001     1023       8.24      0:03:59   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1975   0         0.001     1023       8.25      0:03:59   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━━\u001b[0m   2000   17        0.000     1023       8.38      0:03:58   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1982   9         0.001     1023       8.27      0:03:59   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1975   0         0.001     1023       8.24      0:03:59   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1976   0         0.001     1023       8.25      0:03:59   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━━\u001b[0m   2000   17        0.000     1023       8.38      0:03:58   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1983   9         0.001     1023       8.27      0:03:59   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1976   0         0.001     1023       8.24      0:03:59   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1977   0         0.001     1023       8.25      0:03:59   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━━\u001b[0m   2000   17        0.000     1023       8.38      0:03:58   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1984   9         0.001     1023       8.27      0:03:59   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1977   0         0.001     1023       8.24      0:03:59   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1978   0         0.001     1023       8.25      0:03:59   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━━\u001b[0m   2000   17        0.000     1023       8.38      0:03:58   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1984   9         0.001     1023       8.27      0:04:00   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1977   0         0.001     1023       8.24      0:04:00   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1979   0         0.001     1023       8.25      0:04:00   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━━\u001b[0m   2000   17        0.000     1023       8.38      0:03:58   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1985   9         0.001     1023       8.27      0:04:00   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1978   0         0.001     1023       8.24      0:04:00   0:00:04   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1980   0         0.001     1023       8.25      0:04:00   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━━\u001b[0m   2000   17        0.000     1023       8.38      0:03:58   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1986   9         0.001     1023       8.27      0:04:00   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1979   0         0.001     1023       8.24      0:04:00   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1981   0         0.001     1023       8.25      0:04:00   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━━\u001b[0m   2000   17        0.000     1023       8.38      0:03:58   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1986   9         0.001     1023       8.27      0:04:00   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1979   0         0.001     1023       8.24      0:04:00   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1981   0         0.001     1023       8.25      0:04:00   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━━\u001b[0m   2000   17        0.000     1023       8.38      0:03:58   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1987   9         0.001     1023       8.27      0:04:00   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1980   0         0.001     1023       8.24      0:04:00   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1981   0         0.001     1023       8.25      0:04:00   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━━\u001b[0m   2000   17        0.000     1023       8.38      0:03:58   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1988   9         0.001     1023       8.26      0:04:00   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1981   0         0.001     1023       8.24      0:04:00   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1982   0         0.001     1023       8.24      0:04:00   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━━\u001b[0m   2000   17        0.000     1023       8.38      0:03:58   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1989   9         0.001     1023       8.26      0:04:00   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1981   0         0.001     1023       8.24      0:04:00   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1983   0         0.001     1023       8.24      0:04:00   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━━\u001b[0m   2000   17        0.000     1023       8.38      0:03:58   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1989   9         0.001     1023       8.26      0:04:00   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1982   0         0.001     1023       8.23      0:04:00   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1984   0         0.001     1023       8.24      0:04:00   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━━\u001b[0m   2000   17        0.000     1023       8.38      0:03:58   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1990   9         0.001     1023       8.26      0:04:00   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1983   0         0.001     1023       8.23      0:04:00   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1985   0         0.001     1023       8.24      0:04:00   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━━\u001b[0m   2000   17        0.000     1023       8.38      0:03:58   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1991   9         0.001     1023       8.26      0:04:01   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1984   0         0.001     1023       8.23      0:04:01   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1985   0         0.001     1023       8.24      0:04:01   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━━\u001b[0m   2000   17        0.000     1023       8.38      0:03:58   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1992   9         0.001     1023       8.26      0:04:01   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1985   0         0.001     1023       8.23      0:04:01   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1986   0         0.001     1023       8.24      0:04:01   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━━\u001b[0m   2000   17        0.000     1023       8.38      0:03:58   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1993   9         0.001     1023       8.26      0:04:01   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1985   0         0.001     1023       8.23      0:04:01   0:00:03   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1987   0         0.001     1023       8.24      0:04:01   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━━\u001b[0m   2000   17        0.000     1023       8.38      0:03:58   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1994   9         0.001     1023       8.26      0:04:01   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1986   0         0.001     1023       8.23      0:04:01   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1988   0         0.001     1023       8.24      0:04:01   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━━\u001b[0m   2000   17        0.000     1023       8.38      0:03:58   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1994   9         0.001     1023       8.26      0:04:01   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1987   0         0.001     1023       8.23      0:04:01   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1989   0         0.001     1023       8.23      0:04:01   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━━\u001b[0m   2000   17        0.000     1023       8.38      0:03:58   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1995   9         0.001     1023       8.25      0:04:01   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1988   0         0.001     1023       8.22      0:04:01   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1989   0         0.001     1023       8.23      0:04:01   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━━\u001b[0m   2000   17        0.000     1023       8.38      0:03:58   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1996   9         0.001     1023       8.25      0:04:01   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1989   0         0.001     1023       8.22      0:04:01   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1991   0         0.001     1023       8.23      0:04:01   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━━\u001b[0m   2000   17        0.000     1023       8.38      0:03:58   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1997   9         0.001     1023       8.26      0:04:02   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1990   0         0.001     1023       8.22      0:04:02   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1992   0         0.001     1023       8.23      0:04:02   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━━\u001b[0m   2000   17        0.000     1023       8.38      0:03:58   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1998   9         0.001     1023       8.26      0:04:02   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1991   0         0.001     1023       8.22      0:04:02   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1992   0         0.001     1023       8.23      0:04:02   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━━\u001b[0m   2000   17        0.000     1023       8.38      0:03:58   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━\u001b[0m\u001b[38;2;214;39;40m╸\u001b[0m   1999   9         0.001     1023       8.25      0:04:02   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1992   0         0.001     1023       8.22      0:04:02   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1993   0         0.001     1023       8.23      0:04:02   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━━\u001b[0m   2000   17        0.000     1023       8.38      0:03:58   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━━\u001b[0m   2000   9         0.001     1023       8.25      0:04:02   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1992   0         0.001     1023       8.22      0:04:02   0:00:02   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1994   0         0.001     1023       8.23      0:04:02   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━━\u001b[0m   2000   17        0.000     1023       8.38      0:03:58   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━━\u001b[0m   2000   9         0.001     1023       8.25      0:04:02   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1993   0         0.001     1023       8.22      0:04:02   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1994   0         0.001     1023       8.23      0:04:02   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━━\u001b[0m   2000   17        0.000     1023       8.38      0:03:58   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━━\u001b[0m   2000   9         0.001     1023       8.25      0:04:02   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1994   0         0.001     1023       8.23      0:04:02   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1995   0         0.001     1023       8.23      0:04:02   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━━\u001b[0m   2000   17        0.000     1023       8.38      0:03:58   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━━\u001b[0m   2000   9         0.001     1023       8.25      0:04:02   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1995   0         0.001     1023       8.22      0:04:02   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1996   0         0.001     1023       8.23      0:04:02   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━━\u001b[0m   2000   17        0.000     1023       8.38      0:03:58   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━━\u001b[0m   2000   9         0.001     1023       8.25      0:04:02   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1996   0         0.001     1023       8.23      0:04:02   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1997   0         0.001     1023       8.23      0:04:02   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━━\u001b[0m   2000   17        0.000     1023       8.38      0:03:58   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━━\u001b[0m   2000   9         0.001     1023       8.25      0:04:02   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1997   0         0.001     1023       8.23      0:04:02   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1998   0         0.001     1023       8.23      0:04:02   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━━\u001b[0m   2000   17        0.000     1023       8.38      0:03:58   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━━\u001b[0m   2000   9         0.001     1023       8.25      0:04:02   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1998   0         0.001     1023       8.23      0:04:02   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1999   0         0.001     1023       8.23      0:04:02   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━━\u001b[0m   2000   17        0.000     1023       8.38      0:03:58   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━━\u001b[0m   2000   9         0.001     1023       8.25      0:04:02   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1998   0         0.001     1023       8.23      0:04:03   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1999   0         0.001     1023       8.23      0:04:03   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━━\u001b[0m   2000   17        0.000     1023       8.38      0:03:58   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━━\u001b[0m   2000   9         0.001     1023       8.25      0:04:02   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1998   0         0.001     1023       8.23      0:04:03   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━━\u001b[0m   2000   0         0.001     1023       8.23      0:04:03   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━━\u001b[0m   2000   17        0.000     1023       8.38      0:03:58   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━━\u001b[0m   2000   9         0.001     1023       8.25      0:04:02   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━\u001b[0m\u001b[38;2;31;119;180m╸\u001b[0m   1999   0         0.001     1023       8.22      0:04:03   0:00:01   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━━\u001b[0m   2000   0         0.001     1023       8.23      0:04:03   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━━\u001b[0m   2000   17        0.000     1023       8.38      0:03:58   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━━\u001b[0m   2000   9         0.001     1023       8.25      0:04:02   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━━\u001b[0m   2000   0         0.001     1023       8.22      0:04:03   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━━\u001b[0m   2000   0         0.001     1023       8.23      0:04:03   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K\u001b[1A\u001b[2K                                                                                \n",
+      " \u001b[1m         \u001b[0m \u001b[1m      \u001b[0m \u001b[1m         \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad    \u001b[0m\u001b[1m \u001b[0m \u001b[1m         \u001b[0m \u001b[1m         \u001b[0m \u001b[1m          \u001b[0m \n",
+      " \u001b[1m \u001b[0m\u001b[1mProgre…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraw\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDiverg…\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1msize   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mevals   \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSpeed  \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaini…\u001b[0m\u001b[1m \u001b[0m \n",
+      " ────────────────────────────────────────────────────────────────────────────── \n",
+      "  \u001b[38;2;214;39;40m━━━━━━━\u001b[0m   2000   17        0.000     1023       8.38      0:03:58   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;214;39;40m━━━━━━━\u001b[0m   2000   9         0.001     1023       8.25      0:04:02   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━━\u001b[0m   2000   0         0.001     1023       8.22      0:04:03   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "  \u001b[38;2;31;119;180m━━━━━━━\u001b[0m   2000   0         0.001     1023       8.23      0:04:03   0:00:00   \n",
+      "                                                  draws/s                       \n",
+      "                                                                                \n",
+      "\u001b[?25hSampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 243 seconds.\n",
+      "There were 26 divergences after tuning. Increase `target_accept` or reparameterize.\n",
+      "Chain 0 reached the maximum tree depth. Increase `max_treedepth`, increase `target_accept` or reparameterize.\n",
+      "Chain 1 reached the maximum tree depth. Increase `max_treedepth`, increase `target_accept` or reparameterize.\n",
+      "Chain 2 reached the maximum tree depth. Increase `max_treedepth`, increase `target_accept` or reparameterize.\n",
+      "Chain 3 reached the maximum tree depth. Increase `max_treedepth`, increase `target_accept` or reparameterize.\n",
+      "The rhat statistic is larger than 1.01 for some parameters. This indicates problems during sampling. See https://arxiv.org/abs/1903.08008 for details\n",
+      "The effective sample size per chain is smaller than 100 for some parameters.  A higher number is needed for reliable rhat and ess computation. See https://arxiv.org/abs/1903.08008 for details\n",
+      "Sampling: [beta, y_hat, y_hat_sigma]\n",
+      "Sampling: [y_hat]\n",
+      "Sampling: [y_hat]\n",
+      "Sampling: [y_hat]\n",
+      "Sampling: [y_hat]\n"
+     ]
+    }
+   ],
+   "source": [
+    "n_control_units = len(other_countries)\n",
+    "\n",
+    "result_custom = cp.SyntheticControl(\n",
+    "    df,\n",
+    "    treatment_time,\n",
+    "    control_units=other_countries,\n",
+    "    treated_units=[target_country],\n",
+    "    model=cp.pymc_models.WeightedSumFitter(\n",
+    "        sample_kwargs=sample_kwargs,\n",
+    "        priors={\n",
+    "            \"beta\": Prior(\n",
+    "                \"Dirichlet\",\n",
+    "                a=0.1 * np.ones(n_control_units),\n",
+    "                dims=[\"treated_units\", \"coeffs\"],\n",
+    "            ),\n",
+    "        },\n",
+    "    ),\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The main results plot shows only minor differences in terms of fitting."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-28T22:19:25.532903Z",
+     "iopub.status.busy": "2026-02-28T22:19:25.532841Z",
+     "iopub.status.idle": "2026-02-28T22:19:25.847495Z",
+     "shell.execute_reply": "2026-02-28T22:19:25.847085Z"
+    }
+   },
+   "outputs": [
     {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "## Understanding the Convex Hull Assumption\n",
-        "\n",
-        "The synthetic control method relies on a fundamental mathematical constraint that is important to understand.\n",
-        "\n",
-        "### The Mathematical Constraint\n",
-        "\n",
-        "In synthetic control, we construct a counterfactual as a weighted combination of control units:\n",
-        "\n",
-        "$$\\mu_t = \\sum_{i=1}^{n} \\beta_i x_{it}$$\n",
-        "\n",
-        "where the weights satisfy:\n",
-        "- **Non-negativity**: $\\beta_i \\geq 0$ for all $i$\n",
-        "- **Sum-to-one**: $\\sum_{i=1}^{n} \\beta_i = 1$\n",
-        "\n",
-        "These constraints mean our synthetic control is a **convex combination** of the control units. By definition, a convex combination can only produce values within the **convex hull** of the input points—mathematically, it cannot extrapolate beyond the range of the control units.\n",
-        "\n",
-        "### What This Means in Practice\n",
-        "\n",
-        "At each time point, the synthetic control value must lie between the minimum and maximum of the control units:\n",
-        "\n",
-        "$$\\min_i(x_{it}) \\leq \\mu_t \\leq \\max_i(x_{it})$$\n",
-        "\n",
-        "This is a **necessary condition** for the method to work. If the treated unit's pre-intervention values fall outside this range—either consistently above all controls or consistently below all controls—no valid convex combination can match the treated trajectory.\n",
-        "\n",
-        "### Checking the Assumption\n",
-        "\n",
-        "CausalPy automatically checks this assumption when you fit a synthetic control model. Let's visualize what this looks like with our Brexit data:"
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 700x800 with 3 Axes>"
       ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, ax = result_custom.plot(plot_predictors=False)\n",
+    "\n",
+    "for i in [0, 1, 2]:\n",
+    "    ax[i].set(ylabel=\"Trillion USD\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We can also examine the effect of changing the Dirichlet prior on the posterior distribution of weights. TWe can see that the custom prior of $\\mathrm{Dirichlet}(0.1)$ results in more sparse weights over control countries. The posterior of many countries are more concentrated near zero (e.g. Austria, Canada, Germany, etc), while others have increased in importance (e.g. Denmark, and Australia).\n",
+    "\n",
+    "This is a rich area for discussion, but the key point is that users can define their own prior beliefs about the weights in the synthetic control model. There are some benefits from having 'sparsifying' priors in that they can help identify a smaller set of key control units that are most relevant to constructing the synthetic control."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-28T22:19:25.848912Z",
+     "iopub.status.busy": "2026-02-28T22:19:25.848829Z",
+     "iopub.status.idle": "2026-02-28T22:19:26.053264Z",
+     "shell.execute_reply": "2026-02-28T22:19:26.052916Z"
     },
+    "tags": [
+     "hide-input"
+    ]
+   },
+   "outputs": [
     {
-      "cell_type": "code",
-      "metadata": {
-        "execution": {
-          "iopub.execute_input": "2026-02-28T22:18:04.748738Z",
-          "iopub.status.busy": "2026-02-28T22:18:04.748664Z",
-          "iopub.status.idle": "2026-02-28T22:18:04.853048Z",
-          "shell.execute_reply": "2026-02-28T22:18:04.852725Z"
-        },
-        "tags": [
-          "hide-input"
-        ]
-      },
-      "source": [
-        "import matplotlib.pyplot as plt\n",
-        "\n",
-        "# Extract pre-intervention data\n",
-        "pre_data = df[df.index < treatment_time]\n",
-        "\n",
-        "# Get control and treated series\n",
-        "control_countries = [\n",
-        "    \"Australia\",\n",
-        "    \"Belgium\",\n",
-        "    \"Canada\",\n",
-        "    \"Denmark\",\n",
-        "    \"France\",\n",
-        "    \"Germany\",\n",
-        "    # \"Italy\",\n",
-        "    # \"Japan\",\n",
-        "    \"Netherlands\",\n",
-        "    \"Norway\",\n",
-        "    \"Sweden\",\n",
-        "    \"Switzerland\",\n",
-        "    # \"USA\",\n",
-        "]\n",
-        "treated_country = \"UK\"\n",
-        "\n",
-        "# Calculate control envelope\n",
-        "control_min = pre_data[control_countries].min(axis=1)\n",
-        "control_max = pre_data[control_countries].max(axis=1)\n",
-        "\n",
-        "# Create visualization\n",
-        "fig, ax = plt.subplots(figsize=(10, 6))\n",
-        "\n",
-        "# Plot control envelope as shaded region\n",
-        "ax.fill_between(\n",
-        "    pre_data.index,\n",
-        "    control_min,\n",
-        "    control_max,\n",
-        "    alpha=0.3,\n",
-        "    color=\"C0\",\n",
-        "    label=\"Control unit range (convex hull)\",\n",
-        ")\n",
-        "\n",
-        "# Plot treated series\n",
-        "ax.plot(\n",
-        "    pre_data.index,\n",
-        "    pre_data[treated_country],\n",
-        "    \"ko-\",\n",
-        "    linewidth=2,\n",
-        "    markersize=4,\n",
-        "    label=\"United Kingdom (treated)\",\n",
-        ")\n",
-        "\n",
-        "# Highlight any violations\n",
-        "above = pre_data[treated_country] > control_max\n",
-        "below = pre_data[treated_country] < control_min\n",
-        "\n",
-        "if above.any():\n",
-        "    ax.scatter(\n",
-        "        pre_data.index[above],\n",
-        "        pre_data[treated_country][above],\n",
-        "        color=\"red\",\n",
-        "        s=100,\n",
-        "        marker=\"x\",\n",
-        "        zorder=5,\n",
-        "        label=\"Points above control range\",\n",
-        "    )\n",
-        "\n",
-        "if below.any():\n",
-        "    ax.scatter(\n",
-        "        pre_data.index[below],\n",
-        "        pre_data[treated_country][below],\n",
-        "        color=\"orange\",\n",
-        "        s=100,\n",
-        "        marker=\"x\",\n",
-        "        zorder=5,\n",
-        "        label=\"Points below control range\",\n",
-        "    )\n",
-        "\n",
-        "ax.set_xlabel(\"Year\")\n",
-        "ax.set_ylabel(\"GDP per capita (% of 1997 Q1)\")\n",
-        "ax.set_title(\"Checking Convex Hull Assumption: Pre-Intervention Period\")\n",
-        "ax.legend(loc=\"upper left\")\n",
-        "ax.grid(True, alpha=0.3)\n",
-        "plt.tight_layout()\n",
-        "plt.show()"
-      ],
-      "execution_count": 18,
-      "outputs": [
-        {
-          "output_type": "stream",
-          "text": [
-            "/var/folders/r0/nf1kgxsx6zx3rw16xc3wnnzr0000gn/T/ipykernel_28386/2891153136.py:83: UserWarning: The figure layout has changed to tight\n",
-            "  plt.tight_layout()\n"
-          ],
-          "name": "stdout"
-        },
-        {
-          "output_type": "display_data",
-          "data": {
-            "image/png": "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",
-            "text/plain": [
-              "<Figure size 1000x600 with 1 Axes>"
-            ]
-          },
-          "metadata": {}
-        }
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 800x1000 with 1 Axes>"
       ]
-    },
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "az.plot_forest(\n",
+    "    [result.idata, result_custom.idata],\n",
+    "    model_names=[\"Default prior\", \"Custom prior\"],\n",
+    "    var_names=[\"beta\", \"y_hat_sigma\"],\n",
+    "    combined=True,\n",
+    "    figsize=(8, 10),\n",
+    ");"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We can get nicely formatted tables from our integration with the [maketables](https://github.com/py-econometrics/maketables) package."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [
     {
-      "cell_type": "code",
-      "metadata": {
-        "execution": {
-          "iopub.execute_input": "2026-02-28T22:18:04.854347Z",
-          "iopub.status.busy": "2026-02-28T22:18:04.854262Z",
-          "iopub.status.idle": "2026-02-28T22:18:04.871586Z",
-          "shell.execute_reply": "2026-02-28T22:18:04.871216Z"
-        },
-        "tags": [
-          "hide-input"
-        ]
-      },
-      "source": [
-        "n_violations = above.sum() + below.sum()\n",
-        "if n_violations > 0:\n",
-        "    print(f\"⚠️  Warning: {n_violations} time points outside control range\")\n",
-        "    print(\n",
-        "        f\"   - {above.sum()} points above control range ({100 * above.sum() / len(pre_data):.1f}%)\"\n",
-        "    )\n",
-        "    print(\n",
-        "        f\"   - {below.sum()} points below control range ({100 * below.sum() / len(pre_data):.1f}%)\"\n",
-        "    )\n",
-        "else:\n",
-        "    print(\"✓ Convex hull assumption satisfied: All treated values within control range\")"
+     "data": {
+      "text/html": [
+       "\n",
+       "        <style>\n",
+       "        table tr:nth-child(even) {\n",
+       "            background-color: transparent !important;\n",
+       "        }\n",
+       "        </style>\n",
+       "        <div id=\"mgjnvrpnif\" style=\"padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;\">\n",
+       "<style>\n",
+       "#mgjnvrpnif table {\n",
+       "          font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, Oxygen, Ubuntu, Cantarell, 'Helvetica Neue', 'Fira Sans', 'Droid Sans', Arial, sans-serif;\n",
+       "          -webkit-font-smoothing: antialiased;\n",
+       "          -moz-osx-font-smoothing: grayscale;\n",
+       "        }\n",
+       "\n",
+       "#mgjnvrpnif thead, tbody, tfoot, tr, td, th { border-style: none; }\n",
+       " tr { background-color: transparent; }\n",
+       "#mgjnvrpnif p { margin: 0; padding: 0; }\n",
+       " #mgjnvrpnif .gt_table { display: table; border-collapse: collapse; line-height: normal; margin-left: auto; margin-right: auto; color: #333333; font-size: 16px; font-weight: normal; font-style: normal; background-color: #FFFFFF; width: auto; border-top-style: solid; border-top-width: 2px; border-top-color: #A8A8A8; border-right-style: none; border-right-width: 2px; border-right-color: #D3D3D3; border-bottom-style: hidden; border-bottom-width: 2px; border-bottom-color: #A8A8A8; border-left-style: none; border-left-width: 2px; border-left-color: #D3D3D3; }\n",
+       " #mgjnvrpnif .gt_caption { padding-top: 4px; padding-bottom: 4px; }\n",
+       " #mgjnvrpnif .gt_title { color: #333333; font-size: 16px; font-weight: initial; padding-top: 6px; padding-bottom: 6px; padding-left: 5px; padding-right: 5px; border-bottom-color: #FFFFFF; border-bottom-width: 0; }\n",
+       " #mgjnvrpnif .gt_subtitle { color: #333333; font-size: 85%; font-weight: initial; padding-top: 5px; padding-bottom: 7px; padding-left: 5px; padding-right: 5px; border-top-color: #FFFFFF; border-top-width: 0; }\n",
+       " #mgjnvrpnif .gt_heading { background-color: #FFFFFF; text-align: center; border-bottom-color: #FFFFFF; border-left-style: none; border-left-width: 1px; border-left-color: #D3D3D3; border-right-style: none; border-right-width: 1px; border-right-color: #D3D3D3; }\n",
+       " #mgjnvrpnif .gt_bottom_border { border-bottom-style: solid; border-bottom-width: 2px; border-bottom-color: #D3D3D3; }\n",
+       " #mgjnvrpnif .gt_col_headings { border-top-style: solid; border-top-width: 2px; border-top-color: black; border-bottom-style: solid; border-bottom-width: 0.25px; border-bottom-color: black; border-left-style: none; border-left-width: 1px; border-left-color: #D3D3D3; border-right-style: none; border-right-width: 1px; border-right-color: #D3D3D3; }\n",
+       " #mgjnvrpnif .gt_col_heading { color: #333333; background-color: #FFFFFF; font-size: 16px; font-weight: normal; text-transform: inherit; border-left-style: none; border-left-width: 0px; border-left-color: white; border-right-style: none; border-right-width: 0px; border-right-color: white; vertical-align: bottom; padding-top: 2px; padding-bottom: 7px; padding-left: 5px; padding-right: 5px; overflow-x: hidden; }\n",
+       " #mgjnvrpnif .gt_column_spanner_outer { color: #333333; background-color: #FFFFFF; font-size: 16px; font-weight: normal; text-transform: inherit; padding-top: 0; padding-bottom: 0; padding-left: 4px; padding-right: 4px; }\n",
+       " #mgjnvrpnif .gt_column_spanner_outer:first-child { padding-left: 0; }\n",
+       " #mgjnvrpnif .gt_column_spanner_outer:last-child { padding-right: 0; }\n",
+       " #mgjnvrpnif .gt_column_spanner { border-bottom-style: solid; border-bottom-width: 0.25px; border-bottom-color: black; vertical-align: bottom; padding-top: 2px; padding-bottom: 2px; overflow-x: hidden; display: inline-block; width: 100%; }\n",
+       " #mgjnvrpnif .gt_spanner_row { border-bottom-style: hidden; }\n",
+       " #mgjnvrpnif .gt_group_heading { padding-top: 0px; padding-bottom: 0px; padding-left: 5px; padding-right: 5px; color: #333333; background-color: #FFFFFF; font-size: 0px; font-weight: initial; text-transform: inherit; border-top-style: solid; border-top-width: 0.25px; border-top-color: black; border-bottom-style: solid; border-bottom-width: 0.25px; border-bottom-color: black; border-left-style: none; border-left-width: 1px; border-left-color: white; border-right-style: none; border-right-width: 1px; border-right-color: white; vertical-align: middle; text-align: left; }\n",
+       " #mgjnvrpnif .gt_empty_group_heading { padding: 0.5px; color: #333333; background-color: #FFFFFF; font-size: 0px; font-weight: initial; border-top-style: solid; border-top-width: 0.25px; border-top-color: black; border-bottom-style: solid; border-bottom-width: 0.25px; border-bottom-color: black; vertical-align: middle; }\n",
+       " #mgjnvrpnif .gt_from_md> :first-child { margin-top: 0; }\n",
+       " #mgjnvrpnif .gt_from_md> :last-child { margin-bottom: 0; }\n",
+       " #mgjnvrpnif .gt_row { padding-top: 2px; padding-bottom: 2px; padding-left: 5px; padding-right: 5px; margin: 10px; border-top-style: none; border-top-width: 1px; border-top-color: #D3D3D3; border-left-style: none; border-left-width: 0px; border-left-color: white; border-right-style: none; border-right-width: 0px; border-right-color: white; vertical-align: middle; overflow-x: hidden; }\n",
+       " #mgjnvrpnif .gt_stub { color: #333333; background-color: #FFFFFF; font-size: 16px; font-weight: initial; text-transform: inherit; border-right-style: hidden; border-right-width: 2px; border-right-color: #D3D3D3; padding-left: 5px; padding-right: 5px; }\n",
+       " #mgjnvrpnif .gt_stub_row_group { color: #333333; background-color: #FFFFFF; font-size: 100%; font-weight: initial; text-transform: inherit; border-right-style: solid; border-right-width: 2px; border-right-color: #D3D3D3; padding-left: 5px; padding-right: 5px; vertical-align: top; }\n",
+       " #mgjnvrpnif .gt_row_group_first td { border-top-width: 0.25px; }\n",
+       " #mgjnvrpnif .gt_row_group_first th { border-top-width: 0.25px; }\n",
+       " #mgjnvrpnif .gt_striped { color: #333333; background-color: #F4F4F4; }\n",
+       " #mgjnvrpnif .gt_table_body { border-top-style: solid; border-top-width: 0px; border-top-color: black; border-bottom-style: solid; border-bottom-width: 2px; border-bottom-color: black; }\n",
+       " #mgjnvrpnif .gt_grand_summary_row { color: #333333; background-color: #FFFFFF; text-transform: inherit; padding-top: 8px; padding-bottom: 8px; padding-left: 5px; padding-right: 5px; }\n",
+       " #mgjnvrpnif .gt_first_grand_summary_row_bottom { border-top-style: double; border-top-width: 6px; border-top-color: #D3D3D3; }\n",
+       " #mgjnvrpnif .gt_last_grand_summary_row_top { border-bottom-style: double; border-bottom-width: 6px; border-bottom-color: #D3D3D3; }\n",
+       " #mgjnvrpnif .gt_sourcenotes { color: #333333; background-color: #FFFFFF; border-bottom-style: none; border-bottom-width: 2px; border-bottom-color: #D3D3D3; border-left-style: none; border-left-width: 2px; border-left-color: #D3D3D3; border-right-style: none; border-right-width: 2px; border-right-color: #D3D3D3; }\n",
+       " #mgjnvrpnif .gt_sourcenote { font-size: 10px; padding-top: 4px; padding-bottom: 4px; padding-left: 5px; padding-right: 5px; text-align: left; }\n",
+       " #mgjnvrpnif .gt_left { text-align: left; }\n",
+       " #mgjnvrpnif .gt_center { text-align: center; }\n",
+       " #mgjnvrpnif .gt_right { text-align: right; font-variant-numeric: tabular-nums; }\n",
+       " #mgjnvrpnif .gt_font_normal { font-weight: normal; }\n",
+       " #mgjnvrpnif .gt_font_bold { font-weight: bold; }\n",
+       " #mgjnvrpnif .gt_font_italic { font-style: italic; }\n",
+       " #mgjnvrpnif .gt_super { font-size: 65%; }\n",
+       " #mgjnvrpnif .gt_footnote_marks { font-size: 75%; vertical-align: 0.4em; position: initial; }\n",
+       " #mgjnvrpnif .gt_asterisk { font-size: 100%; vertical-align: 0; }\n",
+       " \n",
+       "</style>\n",
+       "<table class=\"gt_table\" data-quarto-disable-processing=\"false\" data-quarto-bootstrap=\"false\">\n",
+       "<thead>\n",
+       "\n",
+       "<tr class=\"gt_col_headings gt_spanner_row\">\n",
+       "  <th class=\"gt_col_heading gt_columns_bottom_border gt_left\" rowspan=\"2\" colspan=\"1\" scope=\"col\" id=\"\"></th>\n",
+       "  <th class=\"gt_center gt_columns_top_border gt_column_spanner_outer\" rowspan=\"1\" colspan=\"1\" scope=\"col\" id=\"y\">\n",
+       "    <span class=\"gt_column_spanner\">y</span>\n",
+       "  </th>\n",
+       "</tr>\n",
+       "<tr class=\"gt_col_headings\">\n",
+       "  <th class=\"gt_col_heading gt_columns_bottom_border gt_center\" rowspan=\"1\" colspan=\"1\" scope=\"col\" id=\"0\">(1)</th>\n",
+       "</tr>\n",
+       "</thead>\n",
+       "<tbody class=\"gt_table_body\">\n",
+       "  <tr class=\"gt_group_heading_row\">\n",
+       "    <th class=\"gt_group_heading\" colspan=\"2\">coef</th>\n",
+       "  </tr>\n",
+       "  <tr>\n",
+       "    <th class=\"gt_row gt_left gt_stub\">Australia</th>\n",
+       "    <td class=\"gt_row gt_center\">0.261</td>\n",
+       "  </tr>\n",
+       "  <tr>\n",
+       "    <th class=\"gt_row gt_left gt_stub\">Austria</th>\n",
+       "    <td class=\"gt_row gt_center\">0.011</td>\n",
+       "  </tr>\n",
+       "  <tr>\n",
+       "    <th class=\"gt_row gt_left gt_stub\">Belgium</th>\n",
+       "    <td class=\"gt_row gt_center\">0.064</td>\n",
+       "  </tr>\n",
+       "  <tr>\n",
+       "    <th class=\"gt_row gt_left gt_stub\">Canada</th>\n",
+       "    <td class=\"gt_row gt_center\">0.013</td>\n",
+       "  </tr>\n",
+       "  <tr>\n",
+       "    <th class=\"gt_row gt_left gt_stub\">Denmark</th>\n",
+       "    <td class=\"gt_row gt_center\">0.219</td>\n",
+       "  </tr>\n",
+       "  <tr>\n",
+       "    <th class=\"gt_row gt_left gt_stub\">Finland</th>\n",
+       "    <td class=\"gt_row gt_center\">0.022</td>\n",
+       "  </tr>\n",
+       "  <tr>\n",
+       "    <th class=\"gt_row gt_left gt_stub\">France</th>\n",
+       "    <td class=\"gt_row gt_center\">0.002</td>\n",
+       "  </tr>\n",
+       "  <tr>\n",
+       "    <th class=\"gt_row gt_left gt_stub\">Germany</th>\n",
+       "    <td class=\"gt_row gt_center\">0.005</td>\n",
+       "  </tr>\n",
+       "  <tr>\n",
+       "    <th class=\"gt_row gt_left gt_stub\">Iceland</th>\n",
+       "    <td class=\"gt_row gt_center\">0.120</td>\n",
+       "  </tr>\n",
+       "  <tr>\n",
+       "    <th class=\"gt_row gt_left gt_stub\">Luxemburg</th>\n",
+       "    <td class=\"gt_row gt_center\">0.011</td>\n",
+       "  </tr>\n",
+       "  <tr>\n",
+       "    <th class=\"gt_row gt_left gt_stub\">Netherlands</th>\n",
+       "    <td class=\"gt_row gt_center\">0.012</td>\n",
+       "  </tr>\n",
+       "  <tr>\n",
+       "    <th class=\"gt_row gt_left gt_stub\">New_Zealand</th>\n",
+       "    <td class=\"gt_row gt_center\">0.022</td>\n",
+       "  </tr>\n",
+       "  <tr>\n",
+       "    <th class=\"gt_row gt_left gt_stub\">Norway</th>\n",
+       "    <td class=\"gt_row gt_center\">0.087</td>\n",
+       "  </tr>\n",
+       "  <tr>\n",
+       "    <th class=\"gt_row gt_left gt_stub\">Sweden</th>\n",
+       "    <td class=\"gt_row gt_center\">0.080</td>\n",
+       "  </tr>\n",
+       "  <tr>\n",
+       "    <th class=\"gt_row gt_left gt_stub\">Switzerland</th>\n",
+       "    <td class=\"gt_row gt_center\">0.068</td>\n",
+       "  </tr>\n",
+       "  <tr class=\"gt_group_heading_row\">\n",
+       "    <th class=\"gt_group_heading\" colspan=\"2\">stats</th>\n",
+       "  </tr>\n",
+       "  <tr>\n",
+       "    <th class=\"gt_row gt_left gt_stub\">N</th>\n",
+       "    <td class=\"gt_row gt_center\">53</td>\n",
+       "  </tr>\n",
+       "  <tr>\n",
+       "    <th class=\"gt_row gt_left gt_stub\">Bayesian R2</th>\n",
+       "    <td class=\"gt_row gt_center\">0.985</td>\n",
+       "  </tr>\n",
+       "</tbody>\n",
+       "  <tfoot class=\"gt_sourcenotes\">\n",
+       "  \n",
+       "  <tr>\n",
+       "    <td class=\"gt_sourcenote\" colspan=\"2\">Format of coefficient cell: Coefficient</td>\n",
+       "  </tr>\n",
+       "\n",
+       "</tfoot>\n",
+       "\n",
+       "</table>\n",
+       "\n",
+       "</div>\n",
+       "        "
       ],
-      "execution_count": 19,
-      "outputs": [
-        {
-          "output_type": "stream",
-          "text": [
-            "✓ Convex hull assumption satisfied: All treated values within control range\n"
-          ],
-          "name": "stdout"
-        }
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "### Interpreting the Results\n",
-        "\n",
-        "For this Brexit analysis:\n",
-        "\n",
-        "- **Good fit**: The UK's pre-Brexit GDP trajectory lies mostly within the range of control countries, suggesting the convex hull assumption is reasonably satisfied.\n",
-        "- **High R²**: The strong pre-intervention fit (R² ≈ 0.97) we saw earlier confirms that a convex combination of control countries can indeed approximate the UK's trajectory.\n",
-        "\n",
-        "### When the Assumption is Violated\n",
-        "\n",
-        "If you see many points outside the shaded region, this indicates potential problems:\n",
-        "\n",
-        "1. **Poor counterfactual quality**: The synthetic control cannot accurately match the treated unit's pre-intervention trajectory\n",
-        "2. **Biased effect estimates**: The treatment effect estimates may be unreliable\n",
-        "3. **Invalid inference**: Confidence/credible intervals may not have correct coverage\n",
-        "\n",
-        "### What to Do if Violated\n",
-        "\n",
-        "Several alternatives exist when the convex hull assumption is violated:\n",
-        "\n",
-        "1. **Add more diverse control units**: Include countries/units with different characteristics that better span the range of the treated unit\n",
-        "\n",
-        "2. **Consider use of Augmented Synthetic Control Method**: This method {cite:p}`benmichael2021augmented` relaxes the convex hull assumption\n",
-        "\n",
-        "3. **Consider use of {term}`Comparative interrupted time-series`**: With an intercept term, this approach can handle systematic differences in levels between treated and control units\n",
-        "\n",
-        "### Key Takeaway\n",
-        "\n",
-        "The {term}`convex hull condition` is a fundamental requirement for synthetic control methods. Always check this assumption using visualizations like the one above or by examining the warnings CausalPy provides. For more details, see {cite:t}`abadie2010synthetic`."
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "## Custom priors\n",
-        "\n",
-        "The analysis above is all based upon the default priors for the `WeightedSumFitter` class. But this might not always be appropriate. In particular the default Priors are [Dirichlet distributed](https://en.wikipedia.org/wiki/Dirichlet_distribution) with an alpha parameter of 1. This corresponds to a uniform prior over the simplex.\n",
-        "\n",
-        "But we might have different prior beliefs. For example, we might think that some control units will play a larger role and some control units will be irrelevant. In which case, we could use as less concentrated prior, such as $\\mathrm{Dirichlet}(0.1)$.\n",
-        "\n",
-        "We can do this in the code below."
-      ]
-    },
-    {
-      "cell_type": "code",
-      "metadata": {
-        "execution": {
-          "iopub.execute_input": "2026-02-28T22:18:04.872709Z",
-          "iopub.status.busy": "2026-02-28T22:18:04.872639Z",
-          "iopub.status.idle": "2026-02-28T22:19:25.013351Z",
-          "shell.execute_reply": "2026-02-28T22:19:25.012930Z"
-        }
-      },
-      "source": [
-        "n_control_units = len(other_countries)\n",
-        "\n",
-        "result_custom = cp.SyntheticControl(\n",
-        "    df,\n",
-        "    treatment_time,\n",
-        "    control_units=other_countries,\n",
-        "    treated_units=[target_country],\n",
-        "    model=cp.pymc_models.WeightedSumFitter(\n",
-        "        sample_kwargs=sample_kwargs,\n",
-        "        priors={\n",
-        "            \"beta\": Prior(\n",
-        "                \"Dirichlet\",\n",
-        "                a=0.1 * np.ones(n_control_units),\n",
-        "                dims=[\"treated_units\", \"coeffs\"],\n",
-        "            ),\n",
-        "        },\n",
-        "    ),\n",
-        ")"
+      "text/latex": [
+       "\\begin{threeparttable}\n",
+       "\\begingroup\n",
+       "\\renewcommand\\cellalign{t}\n",
+       "\\renewcommand\\arraystretch{1}\n",
+       "\\setlength{\\tabcolsep}{3pt}\n",
+       "\\begin{tabularx}{\\linewidth}{@{}>{\\raggedright\\arraybackslash}l>{\\centering\\arraybackslash}X}\n",
+       "\\toprule\n",
+       " & \\multicolumn{1}{c}{y} \\\\\n",
+       "\\cmidrule(lr){2-2}\n",
+       " & (1) \\\\\n",
+       "\\midrule\n",
+       "\\addlinespace[1ex]\n",
+       "Australia & 0.261 \\\\\n",
+       "\\addlinespace[0.5ex]\n",
+       "\\addlinespace[0.5ex]\n",
+       "Austria & 0.011 \\\\\n",
+       "\\addlinespace[0.5ex]\n",
+       "\\addlinespace[0.5ex]\n",
+       "Belgium & 0.064 \\\\\n",
+       "\\addlinespace[0.5ex]\n",
+       "\\addlinespace[0.5ex]\n",
+       "Canada & 0.013 \\\\\n",
+       "\\addlinespace[0.5ex]\n",
+       "\\addlinespace[0.5ex]\n",
+       "Denmark & 0.219 \\\\\n",
+       "\\addlinespace[0.5ex]\n",
+       "\\addlinespace[0.5ex]\n",
+       "Finland & 0.022 \\\\\n",
+       "\\addlinespace[0.5ex]\n",
+       "\\addlinespace[0.5ex]\n",
+       "France & 0.002 \\\\\n",
+       "\\addlinespace[0.5ex]\n",
+       "\\addlinespace[0.5ex]\n",
+       "Germany & 0.005 \\\\\n",
+       "\\addlinespace[0.5ex]\n",
+       "\\addlinespace[0.5ex]\n",
+       "Iceland & 0.120 \\\\\n",
+       "\\addlinespace[0.5ex]\n",
+       "\\addlinespace[0.5ex]\n",
+       "Luxemburg & 0.011 \\\\\n",
+       "\\addlinespace[0.5ex]\n",
+       "\\addlinespace[0.5ex]\n",
+       "Netherlands & 0.012 \\\\\n",
+       "\\addlinespace[0.5ex]\n",
+       "\\addlinespace[0.5ex]\n",
+       "New_Zealand & 0.022 \\\\\n",
+       "\\addlinespace[0.5ex]\n",
+       "\\addlinespace[0.5ex]\n",
+       "Norway & 0.087 \\\\\n",
+       "\\addlinespace[0.5ex]\n",
+       "\\addlinespace[0.5ex]\n",
+       "Sweden & 0.080 \\\\\n",
+       "\\addlinespace[0.5ex]\n",
+       "\\addlinespace[0.5ex]\n",
+       "Switzerland & 0.068 \\\\\n",
+       "\\addlinespace[0.5ex]\n",
+       "\\midrule\n",
+       "\\addlinespace[1ex]\n",
+       "N & 53 \\\\\n",
+       "\\addlinespace[0.5ex]\n",
+       "\\addlinespace[0.5ex]\n",
+       "Bayesian R2 & 0.985 \\\\\n",
+       "\\addlinespace[0.5ex]\n",
+       "\\bottomrule\n",
+       "\\end{tabularx}\n",
+       "\\endgroup\n",
+       "\\noindent\\begin{minipage}{\\linewidth}\\smallskip\\footnotesize\n",
+       "Format of coefficient cell: Coefficient\\end{minipage}\n",
+       "\n",
+       "\\end{threeparttable}"
       ],
-      "execution_count": 20,
-      "outputs": [
-        {
-          "output_type": "stream",
-          "text": [
-            "Initializing NUTS using jitter+adapt_diag...\n"
-          ],
-          "name": "stdout"
-        },
-        {
-          "output_type": "stream",
-          "text": [
-            "Multiprocess sampling (4 chains in 4 jobs)\n"
-          ],
-          "name": "stdout"
-        },
-        {
-          "output_type": "stream",
-          "text": [
-            "NUTS: [beta, y_hat_sigma]\n"
-          ],
-          "name": "stdout"
-        },
-        {
-          "output_type": "display_data",
-          "data": {
-            "application/vnd.jupyter.widget-view+json": {
-              "model_id": "ddd1b07558444962ae92f3996b4b57fa",
-              "version_major": 2,
-              "version_minor": 0
-            },
-            "text/plain": [
-              "Output()"
-            ]
-          },
-          "metadata": {}
-        },
-        {
-          "output_type": "display_data",
-          "data": {
-            "text/html": [
-              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
-            ],
-            "text/plain": []
-          },
-          "metadata": {}
-        },
-        {
-          "output_type": "stream",
-          "text": [
-            "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 79 seconds.\n"
-          ],
-          "name": "stdout"
-        },
-        {
-          "output_type": "stream",
-          "text": [
-            "There were 23 divergences after tuning. Increase `target_accept` or reparameterize.\n"
-          ],
-          "name": "stdout"
-        },
-        {
-          "output_type": "stream",
-          "text": [
-            "Chain 0 reached the maximum tree depth. Increase `max_treedepth`, increase `target_accept` or reparameterize.\n"
-          ],
-          "name": "stdout"
-        },
-        {
-          "output_type": "stream",
-          "text": [
-            "Chain 1 reached the maximum tree depth. Increase `max_treedepth`, increase `target_accept` or reparameterize.\n"
-          ],
-          "name": "stdout"
-        },
-        {
-          "output_type": "stream",
-          "text": [
-            "Chain 2 reached the maximum tree depth. Increase `max_treedepth`, increase `target_accept` or reparameterize.\n"
-          ],
-          "name": "stdout"
-        },
-        {
-          "output_type": "stream",
-          "text": [
-            "Chain 3 reached the maximum tree depth. Increase `max_treedepth`, increase `target_accept` or reparameterize.\n"
-          ],
-          "name": "stdout"
-        },
-        {
-          "output_type": "stream",
-          "text": [
-            "The rhat statistic is larger than 1.01 for some parameters. This indicates problems during sampling. See https://arxiv.org/abs/1903.08008 for details\n"
-          ],
-          "name": "stdout"
-        },
-        {
-          "output_type": "stream",
-          "text": [
-            "The effective sample size per chain is smaller than 100 for some parameters.  A higher number is needed for reliable rhat and ess computation. See https://arxiv.org/abs/1903.08008 for details\n"
-          ],
-          "name": "stdout"
-        },
-        {
-          "output_type": "stream",
-          "text": [
-            "Sampling: [beta, y_hat, y_hat_sigma]\n"
-          ],
-          "name": "stdout"
-        },
-        {
-          "output_type": "stream",
-          "text": [
-            "Sampling: [y_hat]\n"
-          ],
-          "name": "stdout"
-        },
-        {
-          "output_type": "stream",
-          "text": [
-            "Sampling: [y_hat]\n"
-          ],
-          "name": "stdout"
-        },
-        {
-          "output_type": "stream",
-          "text": [
-            "Sampling: [y_hat]\n"
-          ],
-          "name": "stdout"
-        },
-        {
-          "output_type": "stream",
-          "text": [
-            "Sampling: [y_hat]\n"
-          ],
-          "name": "stdout"
-        }
+      "text/plain": [
+       "<maketables.mtable.MTable.__repr__.<locals>.DualOutput at 0x10fdbdfd0>"
       ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
     },
     {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "The main results plot shows only minor differences in terms of fitting."
-      ]
-    },
-    {
-      "cell_type": "code",
-      "metadata": {
-        "execution": {
-          "iopub.execute_input": "2026-02-28T22:19:25.532903Z",
-          "iopub.status.busy": "2026-02-28T22:19:25.532841Z",
-          "iopub.status.idle": "2026-02-28T22:19:25.847495Z",
-          "shell.execute_reply": "2026-02-28T22:19:25.847085Z"
-        }
-      },
-      "source": [
-        "fig, ax = result_custom.plot(plot_predictors=False)\n",
-        "\n",
-        "for i in [0, 1, 2]:\n",
-        "    ax[i].set(ylabel=\"Trillion USD\")"
-      ],
-      "execution_count": 21,
-      "outputs": [
+     "data": {
+      "text/plain": []
+     },
+     "execution_count": null,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from maketables import ETable\n",
+    "\n",
+    "ETable(result_custom, coef_fmt=\"b:.3f\")"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "CausalPy",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.13.12"
+  },
+  "widgets": {
+   "application/vnd.jupyter.widget-state+json": {
+    "state": {
+     "17554bf45e89494a9003156e5b5ba4c1": {
+      "model_module": "@jupyter-widgets/output",
+      "model_module_version": "1.0.0",
+      "model_name": "OutputModel",
+      "state": {
+       "_dom_classes": [],
+       "_model_module": "@jupyter-widgets/output",
+       "_model_module_version": "1.0.0",
+       "_model_name": "OutputModel",
+       "_view_count": null,
+       "_view_module": "@jupyter-widgets/output",
+       "_view_module_version": "1.0.0",
+       "_view_name": "OutputView",
+       "layout": "IPY_MODEL_ff2ed2ee253b4f9ba54ef5541b1e72a3",
+       "msg_id": "",
+       "outputs": [
         {
-          "output_type": "display_data",
-          "data": {
-            "image/png": "iVBORw0KGgoAAAANSUhEUgAABY8AAAZXCAYAAAAviY+pAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjgsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvwVt1zgAAAAlwSFlzAAAewgAAHsIBbtB1PgABAABJREFUeJzsnQeUJFX9/W919+Q8szknWBaWLHHJOYMEUUwooIKAoCgYEMGEAf8oUUUwwU8QkCRIhiXntLBsZHPeyXmmu/7nvprqre7p6TDTM909cz/n9JnpXPXqVXXVfffdr2Xbtg0hhBBCCCGEEEIIIYQQwoPPe0cIIYQQQgghhBBCCCGEkHgshBBCCCGEEEIIIYQQIiZyHgshhBBCCCGEEEIIIYTohcRjIYQQQgghhBBCCCGEEL2QeCyEEEIIIYQQQgghhBCiFxKPhRBCCCGEEEIIIYQQQvRC4rEQQgghhBBCCCGEEEKIXkg8FkIIIYQQQgghhBBCCNELicdCCCGEEEIIIYQQQggheiHxWAghhBBCCCGEEEIIIUQvJB4LIYQQQgghhBBCCCGE6IXEYyGEEEIIIYQQQgghhBC9kHgshBBCCCGEEEIIIYQQohcSj4UQQgghhBBCCCGEEEL0QuKxEEIIIYQQQgghhBBCiF5IPBZCCCGEEEIIIYQQQgjRC4nHQgghhBBCCCGEEEIIIXoh8VgIIYQQQgghhBBCCCFELyQeCyGEEEIIIYQQQgghhOiFxGMhhBBCCCGEEEIIIYQQvZB4LIQQQgghhBBCCCGEEKIXgd4PCSGEEEIIIYSIRWdnJ15//XW89NJLWLBgAZYvX46Ghgbk5eVh1KhRmDt3Lo4++mgcccQRCAR0uSWEEEKI3MaybdvO9EIIIYQQQgghRLbzr3/9C7/73e+MWJyI7bffHr/97W8xe/bsIVk2IYQQQojBQEPhQgghhBBCCJEEH330UVg49vl8mDNnDnbbbTfjOO7q6sIHH3xgHMmhUAiLFy/Gl770Jdx5552YNWuW2lcIIYQQOYnEYyGEEEIIIYRIktGjR+OLX/wiTjnlFIwdOzamwHzBBRdg/fr1qK+vx49+9CPjWBZCCCGEyEUUWyGEEEIIIYQQSfD++++bOIrCwsK4r6MD+YwzzoCbEPjggw9ihx12UBsLIYQQIufwZXoBhBBCCCGEECIX2GWXXRIKx2TnnXfGrrvuGr7/7rvvDvKSCSGEEEIMDoqtEEIMew477DCsXbs2fP/pp5/GpEmTMrpMQmQj2leE0P4l0sfEiRPDonEyBfayCWY2L1iwwOQ219bWGgd1ZWUlZs6caUTxvLw8ZAsbN27Ee++9h61bt5qYkIKCAowbNw477bQTpk6dmvPf1x+am5txzDHHYPPmzeb+ueeei+9+97uZXqyMwqiZ119/PXz/73//O/bZZ5+MLlMukyvHiEwsZ660TTbBY+pnPvOZ8P1bb70Vhx56aEaXSUQi8ViILOCKK67Af/7zn4SvCwQCKCsrQ0VFRfjH5/DDD1cRFiGEyMFjOrEsCyUlJebYPnnyZOy444446KCDsN9++5liXEKIvrn66qtx1113JWwiv9+P0tJSVFVVmQJ3e++9N0488USz3w0mrnBHKBzkAi0tLfjLX/5iMpopjsaCbXnqqafi/PPPR3V1NTJBMBjE/fffbwRACjR9wfNlFi1khAj7Qa5830D5/e9/H+5/7Htf//rXM7YsYniRK8eITCznUH4nBemVK1eaKCXGJPHGvP2Ojo6I1y1atKhfn8/j3fe//32kkwsvvBAXXXRRzOeoaxx99NF4/PHHzf1f/OIXmDdvHvLz89O6DKL/SDwWIofo7u5GXV2dua1YscI4aH/3u98ZkeEHP/iByeATuQd/nL3O6E9/+tNyRgv1oRECT/7pEOONxbXoivrrX/9qHIt0iR177LGZXkQhspaFCxcmLfzR+csbz58ee+wx/PrXvzYXsl/96lcHZaCGwsE777wTvr/nnnsi26H4wAt7HoviweMVRdSHHnoIv/nNb8yA11DyySefmG23dOnShK9dtmwZrrrqKtxzzz34wx/+0K/zq6H+voGyZMmSiEEVCsfl5eXIJDrXHR7kyjEiE8s5FN9JcfpPf/pTWCxubGxELpFoQO3b3/42nnrqKfObvWrVKiPEU2QX2YEsLUIMA1555RWcfvrp5sRM5B50KN54443hm1dIFkJ9aGTC48All1yCH/3oR+GCW0KIyGnB/XVUkba2NnPhftlll5nPSjfXX389urq6zP+777571s8S45RhOmZjCR90fsXKeWZkAy/saWYYKhgDcuaZZ8YUcjkIwNl5sQSKDz/8EJ/73OeMUy+bvy8d0FhCw4nrOv7sZz+LTKNz3dwnV44RmVjOofpOGsgY5/DSSy/lnHBMDjzwwLjPT5s2LcI0cdttt5l2EtmBnMdCZCE8cJ599tm9HueJIHOTOD3l1VdfDZ8YEk5RocjAKZnKBxJCiOw/phO6K+hCobONx/UNGzZEPP/vf//bXPxT4BJCbIP7TGtra0ST0PVVU1PTq5m4j9ER+swzz/TKHv7vf/+LHXbYAV/72tfS1rzPPvus2XddgfF73/teVm86nlt+85vfjGhPRqV9/vOfNwIoc3wZsbNu3Trce++9ZnaE+1qei/L4RAPD9OnTB3U5GcNAB3D0NmS2L/Nsd9ttN7PcHAzguTLdtw8++GD4dZs2bcIFF1xgtk1xcXHWfV86oIjFfu7C5Ryq7xbDl1w5RmRiOXOlbVKFx7ef/OQnAxrE8grc2223nSkkmwj+FvN32Z2Z9+c//3nE57VnCxKPhchCxowZY35s4rF69WojFlNs8IoQP/zhD810D50obsN7Ei2E6BvtK5k7phMKEBQerrnmmoiLkDvuuAOnnHJK1jsXRXy0fw1uZAULEPGiM14+Iqf8MifZK/CRP/7xjzjrrLNMFuVAoUhNMcCdMcBl2mOPPZDN3HDDDRH5zGxDRi5EmxEYp/Otb30LhxxyCM4777ywqMrj1bXXXmvacTC58sorI5aTwvxPf/pTM/vOCx+n8MEbl5URQK7hgg7i22+/3YjC2fZ96eCmm26K2CfYr4UYKceITCxnJtuG1/uslUFRljfOdGDeeTqYMWOGufUHZi9HO6OZ85wMs2fPNoUsXY2Dg3L8HeUsD5FZFFshRI7CwkrMAWLRl+iMPYb0CyGEyC0oQDDznNPdvVCEUCyREL0vTr3QtZWosA6LU/IiPfrcie4mTgMeKJw5QFGAn0coHvRVHChbWLNmTdgl7cJljjeLjYWNfvzjH0c89txzz0VkPA/GYAEd3V7Y1tFCbjTHHXdcr21AMZduwWz6vnTAgYv58+eH7x955JEZK1Ymhg+5cozIxHIO9XcWFRWZGJqf//znJjP5zTffxJ133mkKNR9//PEYN24csoHoc1Y6sU866aSk38+oIBeK63fffXdal0/0D4nHQuQwPBCzEml01tqTTz6ZsWUSQggxMA4++GDstddeEY+lQ9gSYjg7jxk9kewgDUXAWNP9BwIH7xlP49YtYDFjus94rpbNcAq1m81MWOCNRQQTccIJJ/QqAsjpxYNFtDGCcT6cKp4M5557boSoQgc6C1Zl0/elg7/97W8RGfmJhG4hhtMxIhPLOdTfyVgmzp7hvk2HbqICdJmA7fHII4/0yjoeNWpU0p9xxBFHmGOuyz/+8Q8zw1pkFonHQgwDBzIvULyw+mp7e3vGlkkIIcTA2HfffSPuR2chCzHSiXYeJysek0996lO9HhuIM5RFjCgcM4eZUBS45ZZbEjqhs4HoYk0UJZIVvD/zmc/0GuRiIcLBwBvT5oovBQUFSb2X68PoHy9PPPFEVn3fQOF5P3NCXSi8cOq3ECPlGJGJ5cyVthlK6KLmb2J/Iitc+Nt52GGHReTHv/jii2lbRtE/snsoXAiRFMxY8x5QOeLH7CUKy6nAqdELFizAkiVLzEGfI3yc7sYpeGVlZUl9Bh0PdAOtWLHCXIhx6iYzikaPHm2qjccqZJNrMJeUAj2rvHMdeTHBQoXMmpo5cyayjUxsk3T0peHcPrnWh1KFJ3ksHkQnHqskM5ON25/ZaRR4WDgk3Qy3NmX/80LnWn/EBE5jXr58uWkTTv3jlEf2b/4+7LLLLjkhbmVy32V9gY8//tj0aX4+v5NtyL7F/EL2La87ZjDJ9PbMpn2MFe2jK7DThZUsPCYxD9brGOP69QfmOp5zzjlYvHixuc/t8Kc//clsm1wQ4FnEyQt/p5Pl6KOPNrU23Hxf9lEKIHSNpRNmg3I/9xLt2ktEdO409yXeYvXdof6+dMB6J25cCuE2GKjrPZuOf33BPvf666+bYwLPNwsLC83xkL8BiuwYOceITCxnrrRNpiMreLxgznOqsDCp97MeeOABMzNPZA6Jx0IMA2JNA+EJVLR4HH1hxQtAwguwW2+9Fffdd1+vcHv3QmjOnDkJTzAZ9M+CQBSMYkHBaKeddjLTRfmDMFRw5NKdRuqOEnNaUV/01U6dnZ1mehKnHnoLI3iZNm2aKYaQ6OSB1a95shuLL33pS3Hf+8tf/jKpEdzB3CYD7Us333xzREEH5k9ySlJ/4DZhm7hQyGA142xsn2zvQ6nuK144QMDtzsIW0dPJvVDYO/bYY3H++eendGE3FG2aTUS7T5jVmgwcsHnsscfw8ssvmwEcrzgWDYXGefPmmSnWsZyY0dBJ6c1jHsh+y32Plbi9wgz7TjIM9u8NhXr2qf/85z/mu+LB72EldU7JZF41v7Mv+rN/Deb2zOV9LNp1nKrzuKOjo1db9mewgYIa2/vDDz8091m4iPUo0lF4byiIdteyDdifk4VCItudfdPllVdeSbv4sWXLll6PTZkyJaXPYB+NhvtVLDF3qL8vHTz++OMR9w844IB+fU46j3+Dea7LYxF/Q/73v/9FFJh14XR+Ck2XXnoptt9++7jfJXL/GJGJ5cyVthlKOLD8wgsv9Jq10Z+Bbc7A4/t4DuI6mvl/Lpsech3FVggxDOivW4YwnJ8B+3fccUdMsS8ZwehXv/qVEYNYMKCvC3lCxwJ/IHmB+fnPf35IioekC17wn3HGGbjuuuv6vHgmdKrwRPVHP/rRgLbLQMjUNkmlL/Eig7mTLm+88UbCi5S+4AWOl0TCeqbaJ5f6UKpQ4OLJISvTxxOOCdedIhRPjqOLjKTKcG5TV7hzSUZw+O1vf2u2w0033WT2x3hCI+FJOAtCsW//4Ac/CJ+gx5tiSbemC0UBOulShdvgnnvuiXjsc5/7XML3DcW+S8c8P59Ztckck/g97F8U0dnu6WSwt2cu72PR4jEv2lPJU3Rdwl448JgKFKxYAd7NSqZAxcJo5eXlGAgU3Cjkuzfv1N10s3Tp0l4DvP2Z/ealP8eERNAJHE2qs5hivT56/TP1fQOFzkUK015Rtz+RFdl0/IsHB944UEVXYizh2P294AAjzwk5sC2G9zEiE8uZK20zlLCIX/S5SqqRFS6c3eRtH+7rr7322oCXUfQficdCDANiXUBzikgiOBWNUy2jHRZ0uHHaVzKOm69//evmYinWRS1FBk5nixXmz+qwrBabCzmeGzduNBdzbK/oduLU11hQ2LjxxhuHaAkzv01S7Uvjx4/H/vvvH3EBEi0CJwPdXt7twhMNii3Z1j651IdShe1y1llnman0saCQEmvqLN1NFJpuuOGGfn3vcG5TzhyJLnxKR2ki4g3asE3Yt73irxdeXNMNHk/4o0AX7eKNLiqVDHSlsEK5Cx3onL4Zj6HYd9mHmVvLvhUL9i3+tg6V62Wwt2cu72MDyTuO5dLk75T3NykRnF78jW98A2+99VZ4cIduzWTOvbKJ6ON2qnFnsd7T12/BQIi1z6U6OEK3eTR9CTVD/X0D5d13342IrKDrOdXIhmw7/sUTjjkoGOv4yOM/Y3y80Vj8vWA0AB3KYvgeIzKxnLnSNkNJ9LUcf5s5I6e/RMf/KPc4syi2QohhAE8avfBiMjovMxbf+c53wjmanBrCKWT8606PplOLGWqx8swo9l122WW9pqZw6jEdZJzOPHbsWPMYL17pRnzwwQeN0OCeUK9cudI4lehYyOZq5DxJdacacxrgF77wBey1117haal0Y7FICS+Ym5qawu9j5uGJJ56I6dOn9/pMnqC703t5wenN1uNzsaY79jVKnQ3bpD99iSPR3pMAZllddNFFKeXhRp+kHHnkkX26vjLZPrnSh1KFF5msPh99EcepolxHd8oZ25MXzdzGrAbvFf+4zly/eKL/ULVpNkAB4JJLLolYZu5H0YVV4sEsSubLsf3phuTFiVdUpaOM0y3/7//+LzzdnnB/ZPtQFOsLtvPDDz8cvs9tyv0/mQFHF36vFx4L4gkSQ7Xv/vznP4/IluYy8fPpxOMFkDfDlg4Yuo7o1ONUyujpq+lkMLdnru5j0TMcUsk7ZjbqnXfe2avIUbLZrRQRL7zwwrADisdaHtdysaZDdK7vhAkTUv6McePG9fpd4P7R1wBDf6AgGE2qM4Fivd4tcJjp7xsoPA71d38YzONfus9TeKzj7433HIKz2Dg7gjeKVDw28nkO7Pzzn/80A7H8DeFgdSqzEwYK9wM6n4cKHm+jC+2OpGNEJpYzV9pmqOCgbvRgM2eaDoTogWF3po/IDNmr1gghksK9aIyeepnMhTxP/CjUcXprrOwxuhb6Eizo/uL0WK9g/ZOf/MRcgEXDEzvmoPF28sknG/eYO/317bffNhdddK1mK5wuTLHh6quvjrl+FOp5EsyTNjow3ZNvnrxSvPj+97/f6z2HH354+P9HH3004gSEU1T7M90wk9ukP32JsQUUel3hkSIF+/J+++2X9AW8V8RKNDUqk+2TK30oVbi9vUWr2AcYXcFp89Htud122+G73/2uEZW++tWvRsyYuOqqq4wo5QqAmWrTTMCptRSMuf1YKIUCIIsTedv0mmuuSWpAkA6No446KmHWJcVH3k477TSTP+51f//5z382ImFfma28oOd+4YqU3H8pIPKzkhXu5s+fH7F+dAXHYyj2XbY529/7HYxXYdGlWPDCjlNUeWN78f1e4TYdDMX2zMV9jM589qP+iGV8L8V071R3HncolCcL90fvQAYHyzhVNxE8Bh500EHIJqIH/vojrsU6NvFz0yl+jBkzpleBQwoVqfzOxcrJjhVPkYnvGyjRx55UM34H6/iX7vMUCsDeegC81mEWf/SsAS4/j0u8cTYEz0s4wOUd5BpsuK78nRoqKNINhnicK8eITCxnrrRNpgrlcT886aSTBvSZ0b/tPK4ypiebTWfDGcVWCJHD8ODJqVgUH7ykErTPQi+JilbE+lGLzjZjDmWsi8toeEHP93oP+nQjpCObcTCh6JVo/Tg6Sheml6GaJpcN2yTVvsSICWYke0kluoJikle4ZBRGX8JzNrRPtvehVKHjKHr6GJc9WjiOtY50Jnrbk+Ip2zRVcqVNmQ3szTD13uiUonOWgyssIukVjllMjYXhknVln3LKKSkVSaLQSgel1xnCbUHXbjyit3Eq0RXMOvb+ZnF54031HKp9l05WutNcKNr2JZz0JTYdeuihSCdDtT1zbR+LlaueKLaC25bT3TnA6HVGcQCTRV5TySmmi90LByR+/etfJ7xRPMsmGL0Rff7odZcmSyyzgtfBmg54vjB37tyIx1J1dXL7R0NxONbxYKi/b6BET3XnbIVUyMbjXzQc/Is2y/zsZz9LGDdDRzKPi2L4HiMysZy50jZDBY9tjzzySMRjHFhNNT4nmuiiwpxN5i08LIYWicdC5CjMi6RYFx0cz4N0MoWHCKdYMiYgVeiM8/6w0VkQLQLGY9dddzXuQxeKJZz2lq3MmjULX/7yl5N6LZ1fXqGCGZuxqnanm0xvk/72pWin8BNPPBGR25fKCHd0Eb5sap9c6EOpwun/Xjj9lC7PZOBFebQAee+990Y4ikZim3pjKi6++GIjwPHke7A577zzIu4nKkhCMds7xZ8DCcm4bjngGV0kMdHv1VDtu9EOougLllwi1e2Za/tYLEcni66yr3hvd911lxmoouuQkUYXXHAB1q1bF+EEZnzFQPIYc5lYhcb6k2cbS/xI5VieLNEDKRyU++CDD5KeHeWd8ZCMUDPU3zcQosWU6KnwiciF49/dd98dcZ+Drt5jezxY2LI/ebQjnVw5RmRiOXOlbYYKnldxZk86IyvcNo2uJSDxOHPI7y1EFsKL2+hMSPfCmwdm5v3wYjC6aBCFs5/+9KdJT3XhlF66K1IlemSRBXVShRloXpcpT8rpdMhG6AhMNoeXgsqMGTMiKrnTETLYOWuZ3ib97Uuc8sjplW578YTpscceM06ReHAautf1yu0TL7Ii0+2TC30oVaIvjM8888yUTpy5DTgt1nU78eKV+e3JxpYMxzb1igusds+p8HRMJXuB3F9Y7IuxBu7ATaJMOe7r3N8YJ+F1H/P3J5ETz42QcAUOZvnGY6j23Wjn6YIFC5CrpLo9c20fi+U8pgMxGbg+c+bMMcerRFnbyQ6cpZvB/vx4Bd36KsAYj1htSFdeuuFAEwcDvMvN6CQOEpSVlfX5Poo8l19+eS+XYLx2yMT39Rd+XnQcRqr527lw/Ise9GNUTip9lMez6667DkMFIzkWLVqEXCZXjhGZWM5caZuhItrQw2NQuswP/CyvMO2doSeGFonHQmQh/cnJ4o/Pj3/845QiK/qTicqD95IlSyJEBI7+pwqnE8cr+pdNpLp+dDd4L6BjVYROJ9mwTQaSr8sL+GuvvTbiBCSReMxp2BxMcWFebl+ukmxon2zvQ6lCUcgbGULo7Et1Hen48zpWOS01WfE4l9qUrmxmw/YFLxTYT3mhyYFB13XC3wIWiqNQ/8tf/rJfGW+cIs3txYxYitIUNmKJGt7PZsEWFp7ry8nvXrgzAoKvc0VeCibxsnWjB0V5Me8t/JbJfZe1AigsuoMZzP+8/vrrjVu1PwLjYDFY2zOX9rFYzuNk4TGHAuCnPvUpjHRiDfhGmxKSoa/Yh3RDAYHRWMzxdmF/42OMsomV88sCdVdccUVcMbQvw8VQf19/ieVkTqWAaS4c/9iu3nMO/m4kGniMhrNWhlI8Hg7kyjEiE8uZK20zFLA4aHRBY5oe+iOmxyL6eJaLsR7DBYnHQgwDeIHH7ONEmX/RpFpQw52e7M1Fo/uCGZap4goOLl43WraRanYcp5x7STaGob9kwzbpT19yYTEFntC7J10UECmaxavC/cADD0Tcj1esKxvaJ9v7UKpEu2noOuzPlFDGV3jF41RcOrnUpsyDTDZOiAV9KFbw5vY5OpB5Ev6LX/wiqc/gRTb3EWassn29Ay3JwP2Fy1FRUdHna7i9WfzLdYNRxOSgTl+Z18yJ9eZVUtxMNEg0lPsuI5/oRn788cfDj7EQE7+PzmU6aFjALrofDQVDsT1zZR/jwEp0hftUYPtxIIdFBQc7ozXbiSVi9iePN5ZLbrCKPbGwISNKvANAHExgPjgHsbmP8veITlw67l955ZUIQYdRFNGzluINeA319/WHWA7IVAXfbD7+EW9OOeEsh1TzZadPn276Zay4AZHbx4hMLGeutM1QwHPUaOE8HZEVfYnHuejMHi5IPBYih+DFNk86Ob2M01KZ5UinMXP7+kOqF5IkOsOQ99NRTThWBWr+GCU7usgT2oFWdO2LeNMTYxHtpIsWLtLNUG6TdPYlr7uHIpS3uAynmF966aV9CkpeNyK3fbz4iGxon2zvQwNd91RFpr5yFUdym3rX69vf/rapwO2din/ffffh6KOPTjgNkNnRv/nNb3o5w1OFx95E+zWFYu9UYkZX9CUe8zmvEEwXGEX1eAz1vstsXDoGvXl6W7duNTECvPE3mANlFFE4aEuXfCqF1vrDUG7PXNjHKCJFfy5d79HnQbyQpRvqnXfeMfE4b731VsRzdB8/+eSTaRfycglekHObeZ3r/cnajHUhP1giIwfRWOCQcT5vvvlm+HGuw8svv2xufXHOOeeY3yqvmMvtH8+RP9Tf1x9izUjpKzIjHtl4/HOJPv5NmDAh5c9gu7Ow8rJly9K4ZMObXDlGZGI5c6VthoLoYuec7ZWqoS0e0QPm/ZmFJ9KDWl6ILIQnZUORedefH6dUxJ1UiPWDyylzyYbi8wR9sMTjZDMfM8VQbpO+GOiJDqMrvOIxXXZ0/MS6yIrO1Tr22GPjjtJnQ/tkex9Klejp6P3d/tHiVCrbari1aTRf+MIXTHE5rxubbuR44vHNN9+M3//+92n5/mSEvwMPPBBTp041rmJ3SjcFluhIALpxovfbZJzYQ73vUrBnm1911VVGWIx1AUPXIW///Oc/jbDE7fGVr3xlUGIQhnp75sI+Fh1ZwQt4uhCj4bYZO3YsjjnmGDPoQrHY2wcpLHNbc9uNZHgM9gpz/SlyGMvJn+rAQyqweNIdd9xhnLGMzknkJOWgCWPdWOjz//2//xfxHMXEbPu+VInlwO2PMy/bjn9eOHPCS38HfQazXw5XcuUYkYnlzJW2GUx4PIieGRCvBk06ztlyzZk9nJB4LIRIif7kOYnBZThsE2bXsbCSe+K1YcMG4+iJrnZOEYpTt5ONrBgu7ZPtpEtkykaxKlOwLeio94rHFGZ5ocJp0tFwanW00Mipy8yi5vTq2bNnGzGNFyXM04vOojvssMNSrmDNZWT2MfOYvQ7jaCGB+6z3AouRNPvuu2/Cz8/EvsuZEDfeeKO5GKLY+Pzzz/cZk8Dle+qpp8yNQtHVV1+dNidrJrZnLhAtHtMJGS832+2nFPMYKcCsaJe77757xIvHnMpPd7bLunXrUt4m/L32whkFg+2c477AAWYW0GSRXZ4vcEYSBwV4nkAhlMcZDh7w5oox0a5TRidl4/elAtua+7/3eNnfyJhsOf4N1rmCd/bLYMOs+WeeeWZI9+VkfleH6zEiE8uZK20zmEQbA3gs4vEgnUQfzwYy21UMDInHQoiUiD5gc9oanRgicwyHbcIpSHSO33777RHToKLFY16keN2IvFjjFMrh3j7ZRvRU1f5eqEa7iYZqCmyuED0Vnxe+CxcujFlUkDM1vFBcpFMu2UiR/hYgocOE3+06Q5iZSZcnMzS9gnK06ziZi/9M7ruccsn14I2VvSncM4+d8QfcBtEiBKMT6CCiQzGRmJkMmdqe2Q7b3sucOXOSdmfSIenNDWcRLsYg7bLLLhipRIsfq1evTvkz1qxZE3E/lhN8sOBxhlE5fcXlRMNc4oGIuUP9fcnAYykdzatWrYoQLnP5+JfIiRl97pAsQ1nroD/FzwcCM2aHQjzO1mNEJpYzV9pmsOAAEvf96IHrWAaH/sJjDY9B6YjKEwNH4rEQIiW8gkB/fyiTZShH7HOZodwmgwlFKK94zGmTvEDwXjQw9zUV1/Fwap9sIvrEsL8Ox+iTZrkJIonl4qLTLRrmUvLC3oUX73SPJXuCzenI/b0Yp+BPlwmnO3sjKs4991xzn85p78UVXbIsNpUM2bLv0gnEolG8Ec6QoPuQQom377/22mtm3RMVAkxEJrdntl+oevPuyY477pj0+9nvmB/tdWj+73//G9Hi8axZsyLuf/DBByl/hreYHGFNjmyE4mq0CLHnnnsOi+9jAVOveOx12Ofa8S+Zc47+ODwZ3ZPOdhkp5MoxIhPLmSttM1iw5kVdXd2gRlbwnDd6Flp0vRQxdKQ3sV8IMeyJdvlQ/NHJWGYZLtuELsudd945ooL4f//73wgnDacdewWVk08+ecS0TzbBqeJeGEnQH2GPxXmi3ZUivksqOp7AzRr2ZtqymOqUKVNSigLoT4Elbz6zl3vuuSfsTPu///u/iOcoQCTrSsnWfZcRO5y+TsdNtPDIQq8DJdPbM1thBEB0NftUxGMOTu2///69ZrOMZKKdihQG3QzzZOCMg+i8y1gzI7IB1lKIdtems6hTJr8v+nMHsyjcYB//YhF9brB8+fKUi5NxpkGivGqRu8eITCxnrrTNUEVWML6HtTDSSfSAMQfRZTTJHBKPhRApuxt480Lnjug/A61QP5y2SfSItffEhBdiXkGEkRbM/BxJ7TNYfShVOK2ORYQGIsJQCIzOL00UQTLSoIgY68I9kRs51Ur0zz77LAYqXHi3HS+eXnrpJROdEC0mJFMoL1f2XRZtueiiixJus1TJ9PbMVqKPFzzuRQ9kJeLQQw+NuM++unTpUoxUdtppp15F3KLrCsTjiSeeiHCFcWbBvHnzkG3EKtr5mc98Zth8X3QchjcrP1uOfwM5T2E8gFcw4rkgXY+p4C3KPBQwm57bYahu11577Yg+RmRiOXOlbQYDnqe88MILEY8xfjDdsTXRxzKvyUgMPRKPhRApw8rlXm677bZhm684FEQXRuhPJttw2Sac/s6TJ29eoOugYQZyf6dGDZf2Gcw+lCoHHXRQxH3m2qZS4IzV2r25iYw/2H333dO6jLkM24b5wdGu41hiWbQbubGxMenvYV+JziROh/uYn/nwww9H7Gd0idJFmwrZvu9GT59Mh7MtG7ZnLojHFJQKCwsHJB6TkR6RdcQRR0Tcv/fee030STJwloEXOrspKmYbf/zjHyNmLXDwk0LHcPm+vfbaKyJHnoLLUBQcTeX4N5DzFK7bwQcfHPHYXXfdlZKY70YrieF7jMjEcuZK26QbGgOijzHpjqwgH374Ya9jncgcEo+FECnz1a9+NeLHjdN0rrjiiiGtYjycYHXrgU43HC7bhAJi9IkY3TvM/+SUQxdOe2dRhpHWPoPZhwYqFrI4zJ/+9KekRaB//OMfEY8xJzFVIWg487e//a3XdD1OZ4yVgzxu3LiI+yxqlOyF+TXXXBMzRzlVjjrqKDNl0et+9WaYk89+9rMpf+5Q7bvJXuxFw+nTXrxt0F+yYXsOp2J50W0bPcU/28RjRgJwmr57S+W3rj98+ctfjhiw4KyQ6H03FoyVYiE1L27WeTyYjetdP96iXbrp5MUXXzRirhceQ6KLsOXq97nHHe/+QBE3lfzVoTj+DfQ85cwzz4y4//rrr5sBymTguYk3E1oMz2PEUC9npr4zG4g29NARHJ0BnQ7YF7xEDyKJoUXisRAiZXgC+PWvf73X1Jvzzz+/V3B+IifAgw8+aCoED9eL3WSIzmxkPEOq7rXhtE2ii+BxeaIdIyeeeCLy8/NHZPsMVh9KFWYdMjrEyw033NDLSRENp7Wed955ERervKjmCbhwqsj/9re/xa9+9atezqvoKcLe7e8VlenMZZX3eNOC2f58DftzOuDFk7dQEj/fm/3H5ePMglQZqn33uuuuw3e+8x0z2yFZ+P3XX399r6nKAyUbtme2wcGC6GzIVPKO47mPuc1ZpHCkwmiY6N9dFmiMFwvw/vvvm4GK6Nkon/rUpzCYbN68Ga+++mrSr+dv4QUXXBDhkOO08GSLdg719w2E6H7trRGRiKE4/g30PIV9a++994547Ec/+lHC9aQTlP1ZDP9jRCaWM1faJp3QABL9ezwYrmOaUjZs2BC+T3E6OspMDC2BIf4+IcQwgRfz/PHwTqum0+zwww/H6aefbk5iKS55p6mxMACdBvzBYR7m888/n1XTjzMFR1F9Pl9YGKDD9thjjzVtySJJ3hgH9+ScmbPDdZvQXckMMXfKJy/eoke4o0/UkmG4tM9g9qFU+cUvfmGm4rJgnivwXHnllcbJR/ccp5dR5OfjbEcKW3/96197Fb2i6JVMfnWusmnTpl6F47ywOCQvxNnPKFS0t7fH7L/RxYlcAoGA6cNsWxc6srgP8X284HZd3dyf2I8Z/+C6+adNm2b6NZ8bCHQW0+EVy8XG4pbR05azad/lMrMAFG+8ODnyyCOx5557Gjcfj0fcv9ysTYrivDC84447zLZ1YdbfWWedhYGSLdszm6BrMNp93R/nMWF/ueWWW8L3edxkf2Kbj1Quvvhikwnr9hkek775zW/i85//vOnTU6dONQNY69atM2Ic+75X+OPsALprBxvOPOBAIyNLuI9ymjed5G4GP7cli+vS/XvffffhnXfeiXg/fw85OJet3zcQOKh+0003he9ze3IbJsNQHP/ScZ7ys5/9zJxzuL+R/MvZKRy4pDOZy8vvoHjPGWuMx+JgozuzjYOR3llsYvgdIzKxnEP9nZxVEF1w2uXdd9/t9Vi8808eN2LNaItHtAuc5/nHH3880s2TTz4ZcX8wo39Eckg8FkL0C/4I0hnHv94CRrxg5XRr3ggvcHnj40ORv5aL8MScrhTvjzFHWu+8886Yr//lL38ZU/gbLtuEJ/5sD+/FvXeKOt0r/RENhkv7DGYfShUKvrxYpQvUm8tKIYY3tjUv2NiWfU2L5Ql2fxypuQTdExTI+wPbkE7tSy+9NO7rvvGNb5gT7bVr14Yf45RI3rhPcTtQUOVFjRdeNPz+9783brl09AcKAdFZzf2NrMjUvrt69Woz7dSdesrvZTtRHIn32d/61rfSVswlG7ZnNucdD0Q85kADRSSv25gDXiNZPGZ7cOYIhThX1OAx292/KA6w38Ua2OJ+8etf/xozZ84csuWlAMiBKjcqicJjUVGRmbnhLazrhcv3l7/8BdXV1Vn/ff2BAvduu+0WFo+YFcop9NG5xJk6/qXjPIUiHMX4Sy65JHxOQTH67rvvNjcuI5eV5yPe80auw09/+lPzXRKPh/cxIhPLOdTfycGbVNz08c4/DzzwwJTEY+7/jNzwwrhBb0HLdOE9l+Q+LPE48yi2QgjRb3jizIvU73//+33+8PCHkq7EeBfyPDmMdhyMNOjWpOgyUIbLNuH0J2/xl+jnRnr7DGYfShVOs+MFWSwxmhdvDQ0NMYVjukTpIqJjQ8SGQgDbltOJE0EnHHM2J06c2Os5XlyzT0cLjcynpAMmOgM2nVnYhA62WIX+smnf7et44/ZjikR9fTZdQ1dddVWveI2BkC3bM1vzjtkuzL7vD7GKb7388su92nOkwYKlFDqiM7cJZ4vEEj4oGNx8883GqZpJuO24T8QScrm9ed7ASCUKmLn4fckSPUiXbCbwUB3/0nGewr7G34JYGdLcHjzn8ArHjFTiLKljjjlmQN8rcucYkYnlzJW2GSgUrqOjvxgHNhimC29u+yGHHDLkx1PRG4nHQogBc/bZZxuXIV0H2223XVInqby45QgtT64fe+yxfk9nHi7w5JsnEBSKKL7wJIQj2f0tIJbr24RTGGNlf/EiIB0u1Vxvn6HoQ6lAYZDTXZnhlki4osD1pS99ybgqvRm5Ixn2a4qFjBtg4blvf/vbePTRR42TisJrsrAv09XF9o1XsZui2znnnGO+o68ojP7C5Y3+7s997nNp+/zB2ncvu+wy4xJk3ApfTzdQMk5rfi7d0OmIq8jG7ZmtzuOBCuTR+bB0cVNAHumw/9BVxtkk8RyzHMDhvsL9iRf1QwVdtJytQocr413iwX2GTjXuQ3Sxpjo1OxPfN1A4ddxbtI71IuJlpQ/18S9d5yl0OvJ4R9Gqr2MjnZ7cz7k9BiOPdaSS7ceITC5nrrTNQIiOERwzZozJdU83PP/18pWvfCXt3yFSx7KHS6l5IUTWwKmgHC3kX+Z40nXIkzuOsFIc4dScTJxUj2S0TdQ+QwlzEFkQhHmRdCtx/+eJNPd9XpjGczkJpM0Zx/zN5cuXmym8vJDmNqAgOXfu3KTEgf5AYZeRCy78TmbyplLgMhuObZyezcxkTuFmP6a46E7fpjjD6u8c5Bqqvpyp7SlGLnRxMvpg0aJFxmnGS0buVyxatOuuuw7aPp0s3Ce5bMzg5fJxujgH4ihGcr/faaedzP1c/b7+8uc//zkiZ5lRG9FO+1w7/sWDy/b666+bTHj+BnCWCkX/PfbYY8giQ0Yq2X6MyORy5krbZCM83+Exyy2KzHMcZsqLzCPxWAghhBBCpAVOXfZWGT/33HPx3e9+V60rhBBDJKbSmUvRl7DA5j/+8Q+1vRAiJ+DMBM5kdGFBYGYzi8yj2AohhBBCCDFgVq1ahfnz5287yfT5BlQoTwghRGrQectp8y505b733ntqRiFE1sPZY26xTsIIQwnH2YPEYyGEEEIIMWBuuummiHxN5k1OnjxZLSuEEEPImWeeaaI0XP7whz+o/YUQWQ8zytesWRM2IFxxxRWZXiThQeKxEEIIIYQYECya9OCDD0Y89rWvfU2tKoQQQwyzl6+88srw/RdffFEFIYUQWR+5c8MNN4Tvs6g2i5WK7CF+2VghhBBCCCE8sEDdggULzP8sBPPuu+9GxFWQI488ErvttpvaTQghMsB+++2Hq6++Gps3bzb3WbxWCCGyFRbo/MxnPhO+/4UvfCGjyyN6o4J5QgghhBAiaegMufHGG/t8nhXFH374YYwdO1atKoQQQgghRI6j2AohhBBCCJEWKisrceutt0o4FkIIIYQQYpig2AohhBBCCNFviouLMW3aNBx00EH40pe+hJqaGrWmEEIIIYQQwwTFVgghhBBCCCGEEEIIIYTohWIrhBBCCCGEEEIIIYQQQvRC4rEQQgghhBBCCCGEEEKIXkg8FkIIIYQQQgghhBBCCNELicdCCCGEEEIIIYQQQggheiHxWAghhBBCCCGEEEIIIUQvJB4LIYQQQgghhBBCCCGE6IXEYyGEEEIIIYQQQgghhBC9CPR+SIiBUVdXpyYU/cKyLFRWVpr/6+vrYdu2WlLkBOq7IpdR/xW5Sjb3Xd/ChaiYNy/uaxpeegmhOXOGbJlE9pDNfVeIRKj/ilxlJPXdqqqqtH6enMdCCCGEEEIIIYQQQggheiHxWAghhBBCCCGEEEIIIUQvJB4LIYQQQgghhBBCCCGE6IXEYyGEEEIIIYQQQgghhBC9kHgshBBCCCGEEEIIIYQQohcSj4UQQgghhBBCCCGEEEL0QuKxEEIIIYQQQgghhBBCiF5IPBZCCCGEEEIIIYQQQgjRC4nHQgghhBBCCCGEEEIIIXoh8VgIIYQQQgghhBBCCCFELyQeCyGEEEIIIYQQQgghhOiFxGMhhBBCCCGEEEIIIYQQvZB4LIQQQgghhBBCCCGEEKIXEo+FEEIIIYQQQgghhBBC9ELisRBCCCGEEEIIIYQQQoheSDwWQgghhBBCCCGEEEII0QuJx0IIIYQQQgghhBBCCCF6Eej9kEg369evxwcffIB169ahtbUVBQUFGDVqFKZPn44ddtgB+fn5Q9LoLS0tePPNN7Fx40bU19ejuroaEydOxJ577jlkyyCEEEIIIYQQQgghxKBih4CuNlhdbUBXK6zudoQa/UB3OyyrFHblVG2AJJF4PEiEQiE89NBD+Pvf/44PP/ywz9fl5eVh9913x9e+9jUceOCBg7IsmzZtwu9+9zs8/vjjRryOpqKiAieddBIuueQSlJaWDsoyCCGEEEIIIYQQQgjRL2wbCHb1CMFt24Thzhbnb7dz3+pq7XmuPfL9FhDKzwNCQQS6Q+jc42ygQBpYMkg8HgTWrFmD73znO3j33XcTvrarqwuvv/46dt1110ERj1988UVcdtllqKur6/M1DQ0N+Mc//oHnnnsON9xwA+bMmZP25RBCCCGEEEIIIYQQIiGdLfCveRNWR2OPENwjCIeCUS/sEZRD3eav1fMXoa5e9/m/7fcB+cVAzQ7mM22Jx0kh8TjNLFmyBF/5ylewefPm8GOWZWGXXXYxERU1NTXo6OgIR1msXr0agwUdzxdeeCHa2trCj40ZMwYHHXSQic3gMjz77LNobGw0z3FZzjvvPNx7770YN27coC2XEEIIIYQQQgghhBC9sG0EljwBX90KoKMZVo8QHFMgDnXDsqPe7vMBvjzAnwf4ArDzigF/ALY/D4FgC2y+V6SExOM0Ultbi3PPPTdCOD7iiCPw/e9/H5MmTYr5nsWLF+P+++9HWVlZOhcF7e3t+OY3vxkhHH/1q1/FpZdeGpFv3NzcjCuvvBKPPvqouc9lZ3zFv/71r7QujxBCCCGEEEIIIYQQ8fBtXQJfw1r4ti6D1d4I2+KDgbAgbPNvXlH4fij8XM9fnz/2B/NzWtY5wrNICYnHaeTnP/85NmzYEL7/jW98w4i18dh+++1xxRVXIN3885//NM5il9NOOw2XX355r9cx4/i6664zsRavvPKKeeydd97BU089ZYRvIYQQQgghhBBCCCEGnWAn/CteAtpqjXAcrJkFFFVxSr8aP4P4Mvnlw4mXX34ZjzzySPj+4YcfnlA4HiyYo3zbbbeF79PVHEs4dvH5fLj66qvNX5ebb7550JdTCCGEEEIIIYQQQgjiX/OGyTn21a+CXVQJFFdLOM4CJB6niT/96U/h//Py8kxURaZ47bXXIgrknXDCCaioqIj7nqlTp2L//fePyEsezDxmIYQQQgghhBBCCCEMbXXwrX8PVuN6INiNUOUUNUyWIPE4DVBkffXVV8P3Dz74YEyePBmZ4plnnom4f/TRRyf1vmOOOSbi/tNPP53W5RJCCCGEEEIIIYQQoleRvE/mw+pshdW0HnbZOCBQqEbKEiQepwEWm7PtbeUdjz/+eGSSN998M/y/3+/HLrvsktT79thjj4j7b7zxRtqXTQghhBBCCCGEEEIIF6t2GXz1q01cBfz5sMvGq3GyCInHaeDdd9+NuP+pT30KmSIUCmHFihURcRQlJSVJvXfGjBkoLNw2srNs2bJBWUYhhBBCCCGEEEIIIRDsQmDFiya2wmqrR6hyMuDzq2GyiECmF2A4sGDBgvD/Y8eOxZgxY8z/K1euxP33348XX3wR69evR1tbG6qqqjB9+nTMmzcPJ598MmpqatK6LGvXrkVHR0f4/oQJE5J+r2VZGDduXFh8ZhwHi+8xw1kIIYQQQgghhBBCiHTiX/sWrPaeInmFFUBhlRo4y5B4PECampqwadOm8H1mHXd3d+PWW2/FLbfcYv730traagReCso33HADzj33XFxwwQVGuE0HGzdujLhPMTgVKH674jGXfevWrSl/hhAjlVNOOQUbNmww/3PgKJXBGyHUv0YeuXDMWLduHU499VTzP88HHnjggUwvkhBCCCGEGC601cO37m2Tc4xgJ0KjZtPZGPu1dggIdXPKPWAHgVAQsLthhdz/Q+HH+NdyX2Mec252R71zvzT7zruzGYnHA6S+vj7i/qhRo/CDH/wADz74YML3Ukj+wx/+gI8//hj/7//9PwQCA98cLS0tEfeLi4tTen90xEX05yVDuoRwkVucf/75ePvtt/t8nn2xoqICs2bNwt57743jjjsOpaWlffadXOxH0cufi+sg+sdQ9F31r+FHtmzTeP03W5ZRiFhk83lDMsujfWrkks19V4hEqP+KtGHb8K98EVZXG3xN6xFikbz8QqCjGYFPnofVvGmb8EsxGNtqjQ2UvPq16N7pVKBsbNo+czgj8TgNzmMvL730Uvgx5gefffbZRiRj9jAjIBYtWoR77rkHDz30ULjI3hNPPIHf/e53+N73vjfQxTGCtJeCgoKU3h/9+ujPS4bKykoMNffc247W1vQdSIYDxcUWPnP60FUnTTT4wb7EGyNcXnjhBfzxj3/ElVdeaZx3saDQnGv4fNti5MvLy4dsX+AshhtvvNH8f+GFF+Kiiy4aku8V6HffPeyww8wsFPL0009j0qRJWdu/xOCRjds0uv82NzdHLG82LKMQOXHeUF6exEvKeeI8JIsjspes67tCpID6rxgI9ualCLVtgN2y3hGNx8xwHv/gMYDC8SBidbWiuGk18rbfb1C/Z7gg8XiARIurrnDMi6u//vWvmDNnTvg5iskspsfbAQccgMsvv9wUuCO33347TjrpJOywww4DWh5v3jFJNa84Pz8/7udlKxSO168PoqlJAjIpK7MwfnzmAuZ33nln7LLLLuH7HChpbGw0+eBuLAoFCe4D7e3t+OxnP5uxZRVCCCGEEEIIIcTQYQe7EFr6LOzWetittbDGbA/L54e94rVBF45J0CpAd9ksqMJXckg8HiDRYqvLNddcEyEcR0OhmELa3/72t7C4RgH517/+9YCWJ9o5TLdzKnR2dsb9vP5EeQwF7W0hbN1qY8NGCuYY0XCTjxsLVFVaqK8fOvHfm++9zz774Lzzzov5uueffx4//elPwwMtP//5z7H77rubvG1OgXJHrxsaGsLu/FyBmaWZ2BcowHv/z8Q+ONJJte+6A4eEAyvJbLNM9S8xeGTLNo3Xf9k/vf1W/U5kE9l83uBrbEQi7zH3r5CO5SOSbO67QiRC/VekA9/q1+CvXQ/fxsWAvxghXwlQuw55K15GqmE+IfgQQgBBBMxf9xa0nL8271t+hJCHrm4L7cFCtI3dB+NQiu5h+jtcmeaZTRKPB0h0RjCZOXMmjj766ITv/drXvoa77rorLPA+99xz5sLMO401VaIzjlN1Dke/PtXMZJKJkx+758bkhJ12xIhmwYfb2mMot4X3u/h/X9990EEH4Sc/+Qm+853vhAcs7rvvPpOZHP15OpFOb9uLoSGZbaBtJnKl/6qvilwh237/klmWbFtmkRnUD0Quo/4r+kV7A3xr3oLVuB7o7kCoZjuTfxxY9gwsFr3rIWRb+Kjkcwjml8O2AuFbCH7nb8//sJKcdW0BtRu70NoexKS8Qn6lfoeTpP8qpehTPD700EOTah0W1/NO7eeo89KlSwfUsgMteBf9+ljrJ8RAmTdvHrbffvvw/TfeeEONKoQQQgghhBBCDHMCK1gkrxVW0zrYpWOBvCL4NnwAX/PGiNctDxyCptKd0Jo/GW1549EeGI0OfxW6/OXo9hUjZOUnLxyLASHn8QCpqakxucLeeIjtttsu6fdTQHvrrbfC9zdu3BghqqUKp/574eelwoYNGyIKoHH9hBgM5s6di8WLF5v/3cJhsQrAnXPOOSYCg3EMLC751FNPYeXKldi6dauJyvj73/8ec5+hIP3MM8/g3XffNa9ta2sz0wM5M4CZ4yeeeKLJIU8nLP7n7kOcjj5hwoRer6HD+p133jH/33TTTdhzzz3NwNGDDz6IZ599FuvWrTPryn2PzzEPmsscC+9nufzlL38xt2hYuPPHP/5xn44BxonMnz8fH3zwAWpra80xjVNdmMN+8MEHm9kU8YoicrlPPfVU8/+4cePwwAMPmP/Z/v/973/x/vvvY8uWLWaA6swzz8Sxxx5rCoqS0tJS85pkYnLYNlwXN2/+n//8J2bNmjXk67Vw4UKzjbl+mzZtMhFG06ZNwxFHHIGTTz45Zt/yfpaXWI95+0cq/csLX8virK+99pr5bkbFlJWVmfftu+++Jj4p+jcjGv4+ffOb3zT/M17mlltuMf+/+eabpi0++ugjs125vjNmzMDhhx+OT3/60wkLaCbLn//853B/9h4LHnnkETz55JNYs2aNWa+qqiozGMu2Z12BVPjkk0/wv//9zxwzWNCTn8c+6bYT12f06NFxPyPWfs124XKy/3FbMO6Bs3l4DMvkNo2eMv/vf//b7Cdc92AwiDFjxmCvvfYy/XL69OlJf5YQQgghhBCJsOpWwFf7Caz61Ub4tcsnGieyf/WrkeepGIPNVQerQbMEiccDhMLxlClTsGzZsn5VHI1+LUWkgTBx4kRzEe9moEaLcvGg0OIVj7leqRbcEyJZKHgk65CnuPPDH/4Qy5cvT/i5HDC5+uqr8fbbb/d6jmIObxReKDoze3m33XbL6EZ777338KMf/QibN2+OeJzCEG+PPvoovvvd7xqRaTBYsmSJaQdXyPdCUZQ3il9sr2uvvTZpMYki7e9+9zv85z//ifk8xVuKrSygyOKJL730Eg477LCEn0uRyxWOKRr3JRwP1nrxOHnbbbfhjjvuiMgtZuQPBWre7r77bjMAwuNxpmDBVi5jdBRRXV2duX344YdGeKcg+6UvfSnpz+V2ve6668IiugvjZyik80bB9Pe//33ac7YIB46uuOIKc0yI3u8pJvN2/PHH4/vf/35CAZvL/P/+3/8zYixFUy8UenmjOH7nnXfiwgsvxBlnnJH0crJv/exnP4vIC862bcqBgSuvvNIMqnjhPskbt/Gll15qRGkhhBBCCCEGTKgbgU9ecGIrWmsRqp4BWD4Elj8LK7SthhJZWvppwCc9KluQeJwGKF54xePoonODXaDOC/OSKch8/PHH5v6qVauMMJdM/ATXwXtRSheZEIOFWzCP0OXXFxxQoYDBgQ3uH7vuuqtxgFJAZNFJLxSULrroIiMQu8UcOBOAfZmDKhRo6Q7ke/n/xRdfbMQjr7tzKKEYTicnl4fOSQrZHFDistHZyf2RohYLadJ9vPPOO0e8/5BDDjGPU+Dijey4447mFs1OO+3U6zG2xWWXXRYW7/1+vyn0yYEjCm90ItIxzOWgaEfXJ52gyQit119/fVg45jJyO/AzeUzidiF0/f7xj380/z/++ONJicd8ncsxxxwT8zWDuV4Ujl0nLB3vXDd+JkXqRYsWmccp+n/ve98zBVG9AiaPw6effrr5n4MCrghOJ3WsfPlEbte++O1vf4t77703fL+oqMj0cbrZ6cLnwAq/m+t/8803G/HwkksuSeqzKbTTJc7fGvapqVOnGhGdwiXbkrAdOIDDfSudcHt++9vfNoOiHNjcY489jMuWAi3XyRVquXwcQGUxzr7gTIRvfetbph+40L3LfsKBLR6f+Bz3RbYTBXN+v+uWjwcHENhPODOC+zP3awrpFHhjDWZkYptye3EfYTsQ7pM8trI/c905qEVBnsceHn+FEEIIIYQYKL5178Jqq4OvfiXsgjLYxTXwbfoQvsZI0+Ny3wHoKJ6iBs8iJB6ngb333jtC0EglKsLr9CUUkAYKLyhd8ZjCEy+A99tvv4Tvi57+zmmrQgwW0aJNX1CAZD+msEhBzutmpGjluj8pFtFt6ArH7L907FIw9EIBiJEY/FwO3lx11VX417/+FVfAHizoTuW6UcT+zGc+EyE08jhCoYyDOlzHW2+91UyH98L4B0Lh0xWPua9TDE0EBSe6uV2B9aijjjLuSk5Zj34dBSQ6fukQpkuabl0Ksn1BwY1FECnsUUSMdne7g2YUf//0pz8ZN+/LL79sxL/y8r5r01N8o2ucULzkMg/levE9t99+OyZNmmTWyyvIU3x75ZVXTJ+jO5fbjTErFIZdKCRSsCMvvvhiWDw+99xzE8YVJAsjEbwiI7+fxSm9A4hsm9/85jcmqoGw/zPyIZF4T8GRvxMcnGAECgcqXbgN77nnnrBgzLbgaxl1kS7Yp9i23Le537JugAtFUw7EcF3I008/bfaFE044IeZncf3dYxC3J48t/C33wn2T7lu6qNlnuZ/x9zV6ECcavo77LIvi0gHs3a9TGVwerG3KZbjmmmvCwvH48ePxy1/+MnyeQMc1l58O+j/84Q/hCCEhhBBCCCH6TUcT/GvfhMVcYxbJGzML6GyGf9XLES9rQTU2VSY2FYmhRQXz0gAzLl0nHYk1XT4WvNjmFF8Xihacyj1QmDnpxb2YTET066I/J5sJhWzwmry7myLiyL6xDbK9cDcjCrzFIeNllFLA2WeffcwU8Ohp8BQQXWHmrrvuMlOtCadZU8SKFo4JBZfLL788LOpRbGbWaCagiEOx8ayzzuo1xZ7CKwUe99jC44orjKcDitHudHXmpPK7ogVWQmfjL37xi7A7m6Ios6TjwW1GpzfF8VixIMwHdkUrt2goRcFEn0sRzY0XoOs01vIO5npxGSluU6SM5eRmjvMXv/jF8H2Kx0MJBT+6Tr3FWxlLED3zhPcpvh500EHhx/g+bwxHX/118uTJRkz0CseE/ZSDGV6xMt3rz/an25suXK9wTDgrgU5bbnMXutrp/o2Gv7t0fhP2Db4uWjh2f5NPO+00IywT9r1YeeLR8HUUjr/61a/22q/dvp/Jbcp1d13ibDeK43RcR29P5q1/4xvfiKjpIIQQQgghRL+L5HW2wmpcB7tkjCmSF/jkOVjByHPNRcWnwg4MbEa+SD9yHqcBTqGnkOEWvqMAQfGiuro67vvoPOP0ZheKKOlwP/IimN/tCiicwkuXUjxHHy8k6fxzoTBCkSAXeOY5G3f8jdOQnfvvbNPjRyxOVDUV5G2DGtkCs0CZRevC6ecUaOJBUYhCcV9QIGLRJ8LXURxOlHfKAlePPfaYGcThzIFUcl/TBaeIx8sy5vMUdegq5nJyRgGL/Q0UOnjd2RI85iSKLKCIxvaiQ5bwvUceeWTc9zCeIZZ4Hw3dx5wi735uvPbwDnDFiqwYivX68pe/HDdOgutNd7JbVG8ocYuoufsVj/vegU0vfJwuaB73uf+w8Nzrr7+eMN/2ggsuiBmx4UKnryvCD8b6M2oiXrwTY2uYe0xXLR3wXD+voEr+7//+L/w/t3+iwrDMUP7HP/5hfifZxnTmxstzZv/wDiJk2zZlxrMLBf94+ykHtui+9p6rCCGEEEIIkQosjufbuqynSJ4Fu2IifFsWwVe/KuJ1K3z7oKNUBZuzETmP0wQvWL3TZ73iWCw4xTQ6j7Gvi01eAM6ePTt8SzS1mBeYrhhCmF/InMq+oDOJjiWvQ4kCQa7w69/YYeFYONAo9uxzmWsNTlmnO9B7Yx9jNANdfN68Y4pBdNnGyxRPlEVLkYrCIZk7d65xtCaCAg/zWt3sYe8yDRXJuPu5z7swqzcdvPHGG+Hp8/PmzYsrBnoHlOgmjo4c6YtEIqy3DdzCnHSERkf5eI+DjE0gFA/pwMzEeiXaZszXdsVN5nW70RRDAXOyXRhBEO3OjYauW6+w6A6A9gXXK9HgxWD0VxceJzhQGw/mFR944IF9rhNFVQqq7uBBrH4US5R1HeocxEnUT/iZiQavMrVNee7hxlq5bvl4cD1ixcMIIYQQQgiRFKEgAp/MBzoa4WvdCrtisomt8K94MeJlrXYF1lfqvDNbkfM4TfCijsWrnnvuufC0UE5PZY4mL2a9sGAU3UHeavHMUEx0EZcKn//8541Tyr14Z1Yk8zZZ+MY7bZZZn5wCS7HPhRmVjOIQor94C7j1BYU9Zvr2lUnqkkyUCwtUuVCwo1idDOz/riBEl2L0vjrY0FmcCO+MAXd5B4q3vVavXp10e7mOR2YT09nJol19CU7JrJu7fvvvv7/JHuZ2YNRBLBe413VMATNWEdDBXi+6meMNdLifxXVif3K3WTIidjrwFmNz40ASwddxFgxxC/71BR2qrtDfF/ydSXd/9Qr9fbluvfD31I3MiC5Qx7gcN+uXYniyeb5eF/WmTZvivjYd8VODtU25/u5AMfeh6PiRWHBATgghhBBCiP7gW/8erLbaniJ5pbCLahBY8jisYEfE6xYXfxoIOKYekX1IPE4jLL7EKaCuKMypnizaQxcUL7qZG8gLwVdffTUiQ5AREyxKE29afqrQScfiWhSR3QtlTqV+5JFHcPDBB5tpunT4cXqxW6HedWNef/31yCW+910Lv/yV3MdeqO8cegiyCgpoFNXoJGbBK2YOJyPWxpse7uLNAubUcjfPMxW8+8GCBQsSZoUzNmGgokoyMTVeB2Os/Nb+4G2vZIT+WNCp3ZfIyu2aivPy6KOPNuIx6StCxJufGyuyYijWK9lYocHYZsnAOAVvnFIyeF363veno7+6+dTpIpFwH+t17oyEWH2ErnBvIbr+HCv6e8zK1Db13qdLORkxPtl2F0IIIYQQIoKOZvjXvAGraSPQ1YbQmJ1g1S2Hr255xMtWW3ugrWw7NV4WI/E4jdBxddttt+Hiiy8OT6+mEOEW5ulrijOL9UyYMAHphi4tFqyiy9m9YKRjys2GjYYV5/n6ZC9Qs4XDDrGwYYONjxdRKAB22DZrekTCdmB9sO1mZS7v+JxzzsF5552Xls+Kl2+aToejV+hi4b1EohLdhbnqyEtHe8UTRZPZZl7oJKbgzOMlC9ctWbIE22237eSBx1PO2HCPs5zpkYn1ynbcgULSlwAejfd1Qxmx0R/ceJFUXhe9Tuk+VqSj/w/lNvXe7097CiGEEEIIkSz+lS/D6myB1bjWKZJn+RBYMT/iNe12KdZWxzAHhUKw2us5TZiFjQDLD9vyhf/nZzl/LecmBhWJx2mGAuzdd99tXL78u3bt2pivo+OHhZe+8IUvDOqFGV3PDz/8MK677jrj6PNeiLpQjGGFehaXSkfBvkzg81nIz7dB09tIv85lG4y0Y6dXLPnsZz+bsFDaSMfbXoyy4YyJTMIoHebEuoW8eKzyisduETzCSJ2+XM3Ztl5DjXf9Yx3rY+F93VDFa/SX9vb2lF8XvU7eNtp+++3x97//HSNpm3rv96c9hRBCCCGESAarYS38WxbDaljTUyRvEvzLn4XVFXlOu6joZNiBqEhC24bVuAbo5mt9gB2EZQOxZA6bD4aFZP6lwOz9333O7/wf4rWkyr+lisTjQYCZkF//+tfxta99zWRwMsaC+ZecHsqIijlz5qSUiUhBOlEWZTwoVP/qV7/Cj3/8Y1N8hznIzIXlskycOBGf+tSnInKQhcg12Je9WbcDhTnMibKYc5l0t1c6YBSFKx4zouKb3/ymOWbS5fnUU09FvC6X1mso8cYlbNy4Man3eAsUpjNuYTBIxzp5+wgHd5n/m87IqGzfptGfx5zxRNEVyX6vEEIIIYQQhlAQ/k+eBzqbYLVugV05zYjIFJO9rLV2RmvZnF6NZrVsArpaYVdOAfIc84NthwDeQkHnLwVlU8vD81j4uRAQZFRs5GM867U7axi0qA2VIhKPBxFekLFwTbJFbgYbFsdh3rEQww1GtLi888476OzsHFEDIsnklka3FzPZCTPYswEW6mRkDoUvxuu8/fbb2HPPPfH666+jtrY2PJDGYmi5tF7p2mbJQCftG2+8Yf5///33TeZ9Ivg6l9mzszvzh1nkyYidfF1f60RHO48NPEa0tLSYAd5dd90V2Uq6tykz5ymWUzRnhAUHtxmflWx7CiGEEEIIkQjfhg/ga90KX91KIK8EdkE58hZHxrl22EVYU3V8r2nTVnsDrNY62GVjYeeXIjR+V+c1wS5YoW5HFOYt1HMLdsMyf52bRaE4JrZzLdFSAavDz0omQH52z7zMJrLXbiOEEEnCARq3+B4FkQcffHBEtZ1XKE8ms3efffaB388fTGDNmjV48cUXkWkoCB511FG9oiq8hQtZWC/X1itd2ywZOIvE5ZVXXgmL7n2xdevWCJHd+/5sxB1UiAdzs1944YXwfQ5AeGFMlPexf/3rX8hm0r1NOYjsnfmUqDAo+6a3WKUQQgghhBBx6WyBf83rsJod93Coair8q18x2cdeFheeiFBelAO4qx1o2gC7qAJ2UZURjkNV0xCqnIpQzSwER++A4LidEZy4B4KT90Fw6gEIzjgE3bOORPfs49C948no2vEkdM0+Fl3bHYFuPjd1Hron743ghD0QmrArfON2gDVqFoJT95N4nAISj4UQOQ+FOG++7S233IKlS5cm/X4KLrkMc8tdGJGTTJSNN/6BsTYU5pKBjsU6VqYcBI499tjw/88++6yJ15k/f37S4nG2rlc6tlkyUDx3i6/SWXv99df3+VqOuv/ud79DV1dX2NW91157Idv5/e9/j46Ojj6fZ9FXN/N31KhR2H///Xu95otf/GJEP3vkkUey9lgxGNv0xBNPDP9/zz33hItRxuKuu+7CunXrBrgWQgghhBBixBXJa1gDu3g0rLY6+Dd9FPGaDdgBzeVRM/RD3U7OcaAAduk4RzSumpb6AjDbOFAI5JcZAdouHQO7fKLzeTXbAaO3hzV2NuzSsQNc05GFxGMhxLDgrLPOCk+/pvuYueOMMHCFlGgoTNKhzMKVd955J3KZmTNnhv9/7bXX0NzcnPA9559/vhHXXPHyq1/9Kp555hkjosaCIiyLgFKk92YQp5Pp06ebafqug/SXv/xlWAjccccdMWXKlJxcr0Tb7Omnn07LZzKO4IILLgjfp2P0F7/4hdkfvDCu4ec//3nE9/J92Zz969YTWLx4Mb773e9iy5YtEc+5wqqbm01YdyBWccU99tgDxx13XPg+24KiM48JseBncxDj8ssvN989lAzGNuW6u/sSi+GxwOjChQt7CdHcL2699VbT7kIIIYQQQiTCalwH/+ZFTpE8WEagDSx/NuI1XXYBVlacFBlXwTiJhrXmLwvrhUpqEByfHfGvwkGZx0KIYUFxcTF+85vf4KKLLjJOOYop1157LW688UbMnTsXo0ePNtEIjY2NWLFihXHbuYJi9NT2XIPCqpsXTGckhVA6FuludfNhWajzyCOPDL+HAuuvf/1rfPvb30Z9fb0R437wgx+gqqrKZAezsBgFJApqy5cvN8XFeH+wobuYAiF57rnnkiqU5yVb1yuaQw89FP/5z3/M//fff78pisp8WsYquJx66qnGPZoKRxxxBN59913ce++95j7FVIri7ONcd7qrWTjVKz5+9rOfxWGHHYZs57TTTjMiLnOw2TYUgceOHWv26bfeesv89bbvSSed1OdnXXHFFWZf4WALtz8HkOjC5X7CNi8oKDCDMOwfy5YtC7udUyl2my7SvU25biyge+GFFxrxmMfLr3zlK9htt93MABzXm9/nFsq7+OKL4zqehRBCCCGEYEE6/yfzgc5mWC2bYVdOhX/dW7A6miIaZ3HB8QgVbJuFSazmjUB3mymQx5xjRlIYB7HIGiQeCyGGDRMnTsQdd9xhxEO6TSkKUQiJVzyNWcleF2guQnfh9773PSOI0SVJUezRRx/t5Tb0iseu6Mz2omOR4hOhEBUvK5hi1eTJkwdVPL7pppsinMLMMaaAlizZuF7R7L333kYQdzNnP/zwQ3PzMm/evJTFY3LZZZeZ9fnrX/9q+gNFRW8OsFdEpDOb7vtcgHm9jGWgA3jlypV97teMP/nhD3+YMOqGn/WXv/zFRDNQROUsBRab8xac80IXMweiMkG6tynX47e//S2uvPJKs2/wWMlio7x515euZEZ/SDwWQgghhBDx8G1YAF/L5p4iecVAKAjfhsjz6k2YhYby3eEtkWe118Nqq4ddNs4Rjqfs48ROiKxC4rEYVjChYEGk/jLi6COlYcRAty1FQ7oFOcWbBbbWr19vnKYUWUtLS40gR5cn80Ap4lFwyXUo8FBY+ve//23EL64zIx8SuWrHjx9v3NkffPCBmfLuOg4ZG0HRlu1JUZWOS7qZ6faMFQWQLugcZpEvuktd+L0UzlIh29YrFldddZURiCkgL1myxPTReHm+qUABkSIqXap019JdynXnYAkzdPfdd1/jzKVjPZeYNm2aGRh4+OGHzXZlYUSuF53lO++8M0455ZSks5vZDxhtccYZZ5jBljfeeMPMSqBjnYXiKFazfTi4RJcv9zF+T6ZI9zblfsaCgTxmPP/88+bzeLzgLA0+R3c3112Zx0IIIYQQIi5drfCvfs04jpl3HBy1HfIWPRohEnfbeVhReTIsb6xaVxvQtLGnQF6lKZBnF6V23SeGBsvOxHxdMawZyqJTLv+6x8bGjTaaEke9jgjKSoGxYy189jPew3X2w4iFyspK8z8FHB2eRK6gvjs4/PnPfzbuYHLOOefgvPPOG6RvGtmo/4pcJZv7rm/hQlTMmxf3NQ0vvYTQnDlDtkwie8jmvitEItR/RTT+Zc/Av/594zS2Cyvha94I/7q3I17zUd5JaKjaJ7JAXt0KwJdn4ipCNTMQHL/boPfd5pYisKzO6FFtmL29jeLi3NJMkiXdphc5j8WwoKjIEUvHqmBmRJsIIYQQQgghhBBCpIQdAoJdQLDT/LV6/vK+Fera9n9XO/wbP3KK5HEgLFAA37ptUWhkK6aivmKvbU7kiAJ5ExEqGYXgOBXIy2YkHothwcknDs/RIiGEEEIIIYQQQogBEeqGb9PHsDqbt4nCoS5Y3c7f3gJxMLG4zBtf190Gq2UT7LJJ8K+YDwvbZlMEbT+WVZwaEVexrUDeVNgFZQhO3huwPHEWIuuQeCyEEEIIIYQQQgghxHDEthFY8iR8W5Y4QjEFX1f4tYOOUGzE4GDEc5a53/N4r+ci43bsglJYjWvga90a8fjSvCMRLBzVu0BeOQvklSA4WQXycgGJx0IIIYQQQgghhBBCDEN8696Gb+tSc6NwGwvbsgCfH7B6bnQK9/y1rbyox/ywLR9s9/U+P6yuNgQ+eT7iM+swEbWV+0cVyNvgFMgrrERowm6wizJXkFokj8RjIYQQQgghhBBCCCGGGVb9KvhXvQqrcZ0RjkNV02DnFW0Tis1f38BiI+wQ/Iseg0VXcg8h24el5ac6n28e6HZykQNFsEvHIVQ9A6HKqWlYQzEUSDwWQgghhBBCCCGEEGI40d6IwOLHYbXVwWpci1D5RNilY9L+Nb7178LXsinisWV5h6G7aFxkgTzL6imQNxrBcTunfTnE4CHxWAghhBBZyXnnnWduQgghhBBCiBQIdiGw+DFY7Q3wbV0GFFbCLp+Q/iZsq4N/9esRDzVgLDZXHgCr577VvCGyQN4UFcjLNVTOUAghhBBCCCGEEEKI4YBtw7/8OfiaNsC3dQngC5iYCDp/0/09geXPOoX1wg9ZWFJ6GixfnrnPqAyrrQEocwvk7Qv4C9K7HGLQkfNYCCGEEEIIIYQQQohhgG/DB/BvXgSrdgXQ3YHQmB2NgJwWmF3ctB6+hjWwGlbD17I54unlgYPQVTzRudPVCjSzQF6lUyBv4u7mf5F7SDwWQgghhBBCCCGEECLHYWE8/4oXYNF13LoVoZqZQF5x/z/QDsFq3gSrcY0jGDdtiHAae2nCKGyqPMRTIG9tT4G8sWY5QhVT+r8cIqNIPBZCCCGEEEIIIYQQIpfpbEFg8f9MzrHVsAohRkUU16T2GSxu11YLq2ENfI1rjBhtBTuTeuuSklMBf37vAnmlYxAcO7d/6ySyAonHQgghhBBCCCGEEMMJOkbrV8MKdiBUPRPw+TO9RGIwCQURWPSYyRj2bV0KFJTDrpic3Hs7mrbFUDSuhcW4iRTotvOxpOBYdJRMdYTjJrdA3jSnQN7kvQBLJddyGYnHQgghhBBCCCGEEMOBrlb4Ni2Ef+MCWO1NVJERqpiE7u2PAfKKMr10YpBgVIWvcR18W5YYodYMGPRVIK+rDVbjWiMYG3dxe0NK3xWyLdRbU1CbNwvNBdPRUTQJIaunQF57vfk8u3wc7AIVyBsuSDwWQgghhBBCCCGEyFXo9mzeaAql+bYugRXshtW61WTVGgEx1I28D+5B9+zjYZeMyvTSijRjBgs2LIBVv9IIw6ExcwC/I+a6WC2b4duy2ImjaN2S8nc0YBxq/bPQVDgDbYVTEPLHGIgwBfI2wi6ucgrkTdhDBfKGCRKPhRBCCCGEEEIIIXKNYJcRi30bFsBHobi73Slu1rIZVigIu7DCcSJv/BChmu0QWHAfumcdAZtF1MSwgNvbv/w5WC2b4GvejFD1dCC/JOI1vnVvw7/qFfThQ45JC6qw1b8dGvNnoLVoKoKB8vhv4IAFc47zWCBvDEI1s4zjXQwPJB4LIYQQQgghhBBC5Apt9fBv/BC+TR/B6m4H2hvga95o/sIKwC4ZbYqUIVAIdHc6AvPmhbCrpiNv0WMITt4bwUnMoU1FThRZR1crAosedQrk1a0025zb3gv7SGDVKwk/qgMl2OKbhYa8mWgtnoauQHXy/YPO98Y1ToG88p4CeeNUIG84IfFYCCGEEEIIIYQQIusL4K2Ef/0H8NWvAkJdsFq2OE7j7g7Y+cVGHLaLqiOL4wXyERq9A6y6FfBtXYZQVyv8sGG1bjEuZPjzM7lWor/YIQQWPwGrrc4pkJdfArtySsRLrLpPjCu5ryJ3W3wzUZ83Ey1F09GZP6Z/Re3cAnnBDtgVU2EXljsDEyn5nEW2I/FYCCGEEEIIIYQQIhvpavMUwGsEOltMvjEzjYldXOMUR2NUQV9OUZ8fdvUMhPKLYTWshtXVBoRCCLQ3oHv2cQDjLUROwRgKX8NqRzi2bRMT4RV/rab1CCx+HBbsiPct9x+IxuId0V44AbY1QEkwFHIiUkyBvPE9BfL2AfwFA/tckXVIPBZCCCGEEEIIIYTIIqwmFsB734iDVrArXADP6myBHSgw8QAmoiCqMFrfH2jBLhsPO1AEX+0y+DZ9aNzLeR/8G93bHwNb+bQ5g2/LEvjXvgOLDvSOZuMsj3CQt9UisOi/sOxgxPsW+4/A1ppDB74AdBt3NADNm6kgwy4dbfK1TYG8wsqBf77IOiQeCyGEEEIIIYQQQmRFAbyl8G34oKcAXgeslo1OPEWw2wh0wVHbARTo+ptXXFSJ0JgdnRxkU0hvFgIfPYjgtAMRGrezcpCzHA4i+Jc9Y/76mjYiVDUVKCjb9oLOZuQtfNhEmXhZYe2DLVWHDDxMoqvNcb53tcMuLDPF8Wx/AUJjd1KBvGGMxGMhhBBCCCGEEEKIocK2jVCMYKe5WcEO+GqXw7fRWwBvE9BeD1j+yAJ46SCvqEdAXgbflkWwK6bA+mQ+gq1bEZx+UGRmssgeujsQ+JgF8upNnnGoZBTskjGe59sRoHDc2RzxtnXYCetqjoflG4B0HOqG1dwTUZFXgFDVFCCvGKHyCQiOnevEpohhi8RjIYQQQgghhBBCiETYIaCztUfw7QwLwL3/d+5HPu4Vi7tii3PMj01UAC9d+AIIjdoeVsMaU4DPFNJjUb62WnTPPtYIgyKLsG0EljzpOI63LDUDCXbl1G1O8VA3Aoseha+tNuJtWzANK2tOh9XfPsSICn6mydhm9Mk42EUVCBVUGKc6ncdi+CPxWAghhBBCCCGEEKIvWmvh37wQvs2LYFE87ktYZsZsKBjx1wp5HjePbbtvua/ljTEDtg27uBqh6hlAfungR0gwB7lyMkJ5RbDqVsDqZiG9buS9f48ppCdhMHvwr3kDvrpPjFucfcfkHLuCsB0ywrKvaX3EexowFkuqPh+Zh5wKHc2wWjY5gx5FVbCLR8HOK0RozBynjw48BEPkCBKPhRA5xfnnn4933nnH/H/TTTdhzz33zPQiiSHgmmuuwaOPPmr+/9GPfoQTTjhB7S6EEEIIIQaP7g74tiyGb9NCJ0Ii1AWrZatTKMwrEPcIwhajKPrApsZm+R2xL/zX50RSsOAdHysugF1ck3wBvD6/zIbVtB6+TR8ZMZGf2T11fycnua+3MP4gr9AUYuP7QjXbIfDh/QjOPMy4k0VmYUSFf/XrsBrWAh0NCI2aDQQKnCdtG/5P5sNXtzziPa12BRZWfrl/DvLuTidru6PFccCzOGNeIeyqqQiO2RHw93y3GDFIPBZCDCrr16/H/Pnz8corr2Dt2rWora1Fd3c3qqqqMHr0aOy111444IADsOOOO2pLCCGEEEIIITIHRWDGOFAwrl0OK9QNtNXD17rF/DUUlMNm9rBXBPb5YVMIjhCH+dcRiB2heJBdmt3txhnt2/QhfG114YetjkbkNaxBcMahCLHYXl/kl5qiZ6Zg36aPYFdPh7X4CScHefK+KqSXKdrqEFjylPlrNa2DXT4JKKwIP+1b+yb8mz6MeEunXYQF5WfDLtj2uqQIhWCZvl4L+PIQqphoivGFimsQGrcL7KK+ByDE8EbisRBiUKivr8dtt92G//znPwgGg72e37Bhg7l98MEHuP3227HPPvvgW9/6lpzEIwC5iIUQQgghRFbRVgf/5o+dWIqOZqCrFVbLFpMvy3xi476smJweZ3A6ocu4eQN8Gz80oq9FN3QMrFAXAkufQLBxDYLTDjR5xzHx55s4BEZY+LYud3KQYcNqrUX3rCOBQD/jD0T/CHYisOgxUyCPgxkmOqJsfPhpbvfAmtcj32IH8H7plxAsGpNaP6KjvnkzFWSA8RTFNabfh8bOdURkRVSMaCQeCyHSzieffIJLLrkEGzduDD/m9/sxd+5cjBs3Dvn5+di8ebMRjltaWszzr732Gs4++2z85je/wTHHHKOtIoQQQgghhBg8ujvh27oEPorGjeudgnUUiykad7bA9geMgBYqHgXkl2RhpMYiRzSOKpAWD/+mj2A1bUD39kcDLMQXC8tnCvWF8ophNayC1cUc5CDy2uvRNfs4oLiP94n0wjiKZc/A17zZxIkYYb9qRtgBbtUuh/+T56PeYuGDos+hq2RK8t/T1QareSOsrnbYheUm59r258MetR2CjCzpa6BBjCjUC4QQaReOv/71r6OxsdE5yAQC+PznP4/Pfe5zqKyMnObS2dmJp556CjfccAPq6urM/UsvvdT8Peigg7RlRJgf//jH5iaEEEIIIUS/ocOycW1PLMUy4ypGe4MjGLtRD4UVCI6a5WQEM24iq1zGGx3BuHapE6kRh0aMQZt/FMYGP4p4nGJz3gf/RnDaQU7RtVhxGiykVzYOdl6RKdBmcpBD2yHvg3sRnH0MEHVdJ9KPb/278G9Z6mQZB7sQYtZwT4E8ZloHljwBC5E52x8WfBpt5Tsk9wUcLGneDKu9AXZeAUJVU0w+cqh8AoJj52bfgInIKBKPhRBpo6OjwxQzc4XjwsJC/O53v8Mee+wR8/V0IB933HHYe++9TSG81atXIxQK4aqrrsJf//pXTJmSwoipEEIIIYQQQsSivbEnluJjWO2NQHfbtliK7k4jktoVk3piKfKz02XMAnitW+O+NGj7sd6/CzYX7YX24ilGBG5sewfTmx5CAJ3h11F4Dix/BsHGtQhOP6jvdS6sQGjsjk4hvY0spDcTgY8eQsjXCWuyCpcPFszd9q982WQcW611CDKrOq/Iea51KwIf/7dXRMli/5FoqtwzuUEIutWZbQwf7PJxsLmdCyoQGrezcR4LEY3EYyFE2vjb3/6GZcuWhe9TBO5LOPYyatQo/OEPfzAO5dbWVnP75S9/iVtuuUVbRwghhBBCCJE6wU6TE+vb9DF8DWtM9ILV1hNL0dFsituZWIqSUUBeSXYVhHNdxpt6sowTuIybMBpr8/ZBQ9kuCAUiHaNbinZHc94kbNfwL5QGN0Q859+yyHxPcLujYbMdYhEoNK5XOrV9WxY72c9Ln3Xyccft5RQEFAOnqw0+Zk2zUGP9Klht9UZEphOYWceGjiYEPn4EVrAj4q0rfPtia/XBib+jo9lsb4S6nPxkZhvncfvOQah6hnKNRZ9IPBZCpIX29nbcd9994fsHHnggDj300KTfP378eJx33nn4/e9/b+6/8847+PDDD7HTTjslfO+mTZvwwAMP4IUXXjA5y4y9GDt2rCnCd/rppyflYLZtG/Pnz8fTTz+Njz/+GFu2bDGfU1ZWZuI2KHDvvvvu2HfffbHDDjvAx8rJceBy/Pe//zVZzmvXrkVDQwOKiopM5vOnPvUpnHLKKQmXK1ZhuaamJvPYs88+az63trbWFCR88skn8ZOf/AQvvfSSeT2d3F/+8peRDH/5y1/w5z//2fx/yCGH4Nprr40ZR/Lqq6/i3XffNf+zfeg0Z/twnXbbbTecfPLJmD59ep/fw3VmkUQvP/vZz8wtmnPOOcf0h3htEQ8OQDz88MN4+eWXsXz5ctP+BQUFGD16tBnQYK42M7gTwe3twvUnK1euxP3332/us+9ZloUJEybgsMMOw1e+8pWEfcMtKMn+8corr2DFihXGrc/PqaqqQkVFhekb7L905Y8Zo9F/IYQQQoikCHYa4Y3F3nz1K2B1dxjBzWrZ7MRS2CGADsuambApyGVTLEXYZbzYEY0TuIxDtg/rIlzGfa9Le2A0Pqz+BqY0PYrx7ZEF1nzt9bAW3IvgtAMQGrNTbBHd50eoZjsn8qNhNWx0ww6F4Av6EZy0V//Xd6TT0ewMcNQth9WwFhb7JwXetjrTZ+n8tssn9vSNdgQ+fhhWZ3PER6zDXKyrPs5cS8QdjOA+0FrbU/xxkhGN7aqpCDIOw18wyCsqch2Jx0KkCcYttLW1GYEwGfFouEHRlQKdy1lnnZXyZ1BcpIhJ4Y9QoEskHlMwprBIUdULBT7eKCpfdNFFOOOMM/r8jK1bt+KKK64wBfyiYRYzbxRM33jjDfzpT38yLmmKen31g9tuuw133nmnEVe9dHV1GZFw8eLFuPvuu/GFL3wB3/jGN+L/0Ht47733TO6vtxChFwqirnj8+OOPJy0e87Xez4jmhz/8odm+fYmgvFFw5zqdeeaZpr1ZIDFTvPjii8a5zu3qhYMB7CcUk++9914cddRR+MEPfmDiVZKFffL66683n+Vl6dKl5nbPPfeY5znA0BccpKBg7sa7eKG4ztuiRYvMgADFborgQgghhBAiScdmKAh0tZjp/k4sRYcjlJVNME5LBLIslsIIe5ucLOOtS5JwGY/Curx9UG9cxqVJf03IysOK8pPRmD8DMxofQB7aw88xAiHwyfMINqxBcMahQKAgdg5yxSSE8ouAhpVAUYVpc4nHKdJW7wjGdHI3bXQGNDoaHcGYbuNgF2x/nnGC2+WTHDGfMSOLHoXPzeXuYQumY2XNabB6spDj9S/uD6YYXnE1QnTcj9sFdpGyq0VySDwWYoAsWLAAN998Mx566CEjehYXF+Okk07CBRdckJSzcbjw1ltvhf+nU5Iu3VRh2x1++OFhseztt9+O+3oKlrfeeqsRZcvLy42jlH8prvK9fJwi33XXXWcEWrqQo6Fr9zvf+Y75LJeZM2dixowZKC0tNe+nCElhkG7bePCz6IqlK9iFjmUK4HSUsn989NFHWLNmjXktYz4ovH7/+99P2DZ8D0XJ5uZm005sX342xVC6tAmLDJaUlKClpcUIpEuWLMF2220X93O5PKtWrTL/s+3mzZvX6zWuW5iCMJ3FkydPNm3D+xTW+RmbN2827u1//etfps2+973v9fqc448/3gwwUISnsE/owp42bVqv1ybjOI+F68Bm+7rLvMsuu2DSpElmcIcCPJeVPPHEE1i/fj1uvPFG40pOxCOPPIJf//rX5v+pU6cagZjv47q8//77Zv25Pdmf2A50ZUezcOFCs73d5eP7eZyg8z4vL89sOzrKGf9CN78QQgghhIjj2KRg3Bjl2OSNgjFjKYqqEaoeBeSXZjaWItgFq6PRcUFTKGxv7Lnf8z9jBBK4jNf7dsam4k+hvXjagBzTtYU7oyVvImbV/wvlwbURz/lZRLBlM4LbHQW7dGzM95tc6LbNQDsd3VuA7s7sE+SzCYq3rVuMG96qWw5fy1aAecUs1OgKxqEg7ECBE6NCR7y3v9ohUxzP17Q+4mMbMBZLqz8fP6PbxJ9sAtrrYJeNNW774PhdEarmbNEsimkRWY/EYyEGAGMaGA/Q3b1tdJgCIYUjOhuZ2XvaaaeNiDameDZQ4Y/suuuuYfGYwh5jAfqatu8Kx5/73OfMdmABPhcKhFdffTXefPNNc59u4VhCJV2qrnBMMZaRDX2J/hRkH3vsMSPQ9hX/4ArHFIspIjLKINqJ/swzz+AXv/iFEYIffPBB7LXXXjjiiCPitss//vEPIzhSAOfABAVkF/Y/fgdvjJ1gHAL53//+l1A85mtcuKwUMKPZc889jZOcEQ6x1p2iKduR60Qxme5cunoZZeHFjaGgU9wVj+l0ThRBkSwU2Ok4doXZOXPmmD7gjQehM5z7JwVj/k+3Of/ntkoEhWNuV7q/99tvv4jnGOdx2WWXmW3KwQY6kBm9Ec0dd9wRXj7GulBIpmgfDQV49l0664UQQgghBB2bdY5gvHUZfBTE+nJsFlU5AlxB2dDFUnBZOpvDorDV0eSIg0YsboDV1davj21Gjckyri/bNSWXcSI6/NX4qPprmNz8BCa2OTMXXXxc/g/vR3DKfgiN2zW26F5QDru9ASijOLkBdqUKnfcWbTc48SkU5FmkMdQNixEhrbVOvw2FYOcVwy4dhxAdwHnFvdvatuH/5Hn46j6JeLjVrsDHlWfDDjhF9OLlZqO9Hijjd1QhNGF3hCqn9qPHiJGOxGMhBuA4jhaOvfBxPj979uwR4UCm0OtC125/iRY7+bl9iccUjj/96U/jW9/6Vq/nON3/t7/9Lc4991zjGqYYx0iMn//85xGvoxPVK27G21Zcr29+85sxn1u3bp1xEhMKuxw4iOWodUVaCoYXXnihuc+YCzqu48VXUHCko50CZTSBwLZDOcVYVzyms5bL21eMCj/zqaeeinhvLChWx4PLzYzr3/zmN6a9yb///e9e4vFgc/vtt4cjTyZOnGgGDKLdv2wLCuFcZjdfm4NAHIBgbnEi+JmxBHk6wb/97W8bYdxt+1jisdvfONBx5ZVXRgwCeOHz+++/v7kJIYQQQoxIenJa3Sn+nHYfdmwykqI9gWMz7csTcmIwKMaFRWLHOWyEYwrIaYAu4w2+ucZl3FY8fdAEcNsKYFXZcWjKn44Zjfcj33bOownXJbDyJQQb1iI483AgLyrmrbAMaNoABLvha1yPoMRjpyAjM6EZR1H7CazOVieDmwMbbRSMm2DZNuyCUpNjbPprIH58nn/NG/Bv+ijisU67CAsqvoJQQXlC8Zr7ioRjkQ5GXjCrEGmCURV9CccufJ4i4nCHU+1dNyWJ5aRMFhYL8xIrF9aFwpsrwMaCWbYXX3xx+P7zzz9vYgWil92FrtL+Qqep2wbMMu5LOHahC9otxsaCacy4jQfjDeKtq9clTOHcdV+7kRaxeP31103BPcKid3R9DwQK7+56u47voYLxHV4hnG0VKzbChdnM7iAHHcjMxk4ECwLGc3LzeVfIZxSIt2+5uI+xb/YlHAshhBBCjFgo0Dauhf+TF5D3zt+R9/498K96Fb7Ni51CcuvegX/LUuPkpWMzOHauk91K8dI4ja1BEbD9K19E3tt/Q94H95gIgcDqV42o52tY4wjIaRCOW1CNRXnH4o2a72Hl6DPRVjJzSJzTdQVz8EH1N9EQ6O1I9devQOD9u2E1rot8otC53jPO6qg4hREF40hql8O/5EnkvXk78j56CP41bznuePaP9e/CqndmXLKPBsfvhtCYHWGXjU8oHPs2LoB/7RuRX2cH8EHplxEsdK73+uyzTVHC8cQ95TgWA0LOYyH6AcUmZhwnA2MJbrjhhmFdRC9aJGPRwP4SLajFEuBc3IzfeDASgs5lxl9QzKfz8+CDDw4/P3bstiyv//znP8bp6XXyJsvLL78c/v/II49M6j0Uel999VXzP5crXpE1FuhLRpRnP2NkBAv2ubEU/J5EhfKOPvropAr3URRlbi9zeRnREF04zt1ezDZm9rS3fQcTxk+4y8IBCDqhE7UT4zLoJI7O7O4LusPjwRxo5kGzuCKjPJgVzfxsLxTpGa/BQRG2P9tdCCGEEGJEw+n8DWt6HMafOBEPxrHp5Bdzir8hP3nH5oDpaIJvyxL4tiyCj67RNNGGMrRaNWjzVaPDV4WOQBW6ApXozqtEp78yY7nM/O6Pqs7B5JanMbF1PizY4ed8Xc2wPnoAwcl7IzRhT7OMFgvqBQpgdTY5DlcWKYxXtG040lqLvIUPwepoBrpat+Vtd7bCpuhfWAG7arqJUYEvtetLI0h/Mj/isZBt4YOis9BZMjmxcNxB4Xi8icMITfwUQhWT+ruWQhgkHgvRD1h4y50enwi+jq9PJHLmMtHrxvXtL9HtGq/dkokDoSDKDGaKx2Tx4sUR4jEjJBgbwQGBV155xcQXUFRkpu2sWbOSEv0plLpF5wgzdZMRYikyurjL1xfxhOVoGD/hisfMYP7ud78bkQdNWIxt/vz5CSMrXF566SX88Y9/NO2XLHR5D5V47HVuc3snMwDAQnouXC8KvvG2W7QQHIvKym0ViymuxxKg3XgTFvZjgT/mXdOJzsxtIYQQQogRgRG51sG3aaFT9I5F17rbHPGN8RRdNCRYTrZu5TTYzISNVxgsHXR3OpEDWxY5Rfj68RFdyEcLRhlxuJ0Csb/SiMNdebxVIWRlcWE5y4/VpUehMW86ZjbeiwJ727ksxeTA6tcQaliH7u2O4DQ6x+nd1gwr2G0K57Eg24ihqxV5Hz9iitH5ttIJ3+4UaCysRKhsghGO+yumcyCF7navgE8+KjgVbeWzE+xT653BlrIJCBVVSDgWaUPisRD9gM5aOmSTEZD5uoE4cXMBCrx+vz8c2xAvaiIZIdZLPLdtssKk93Us6OaFMQuMtmD+LcXD1atXm6gR3rheO++8M/bYYw8jOE+dGru4wJYtWyLuM0M3VRK1mVeUTASjFSh0Llu2zAiYLGZHkdwLIzzc/stc7unTWXE3NsyKZjHAVEl2gCUdeONI6O5NhvHjx0fkZ3N54w1W0FmcCG/BwVixNl/5yldMlAgLTLqFBnkjzFxmTjTd8sm46oUQQgghco6OZvg2fwz/poWwOK2+u93JEW6tdaIoaNwoqIBdOtYRjFN0bPYrp7ZhteMwpuuZmcpJFLGje7jdV4V2f3WEONxtxSh6lmM0FGxnYixmNtyLqu5lEc/5Glcj8N7dsHc6zkRXWA0bTQ41BwJGjHgc6kbg40eNYM4oFVgBBEdvbwY6+h0z0tliRGgTzdLS21S0OHAUmir3SDgYQ8e8KxwHJ+0NuzxxTRchkkHisRD9gG5UFi+jwzQRzEEdzpEVXiGO0/HJ8uXL+/05S5Ys6fW5fcHc2GTwvi6WoPnZz37WOHv/+te/mhxgupDdCAbGSvDGjGu6Qy+55BLjSPYSy2GaKt7M6L4yj1OBcQhcZsJ4hGjxmHEWybiOX3vttQjhmLnIxx13HObMmWNEeQ6MeF3NLBLp5iy77TgUeLdrsoM10a/j9o4n2CbjJk+mL3K73Hvvvebm7jNu0UXeHn30UfO60047zRRxTLafCyGEEEJkbSxF3QpHMK5fBYv36TBu2eyIXZbfTO03U+spwA12/IHJMd7kCMbMT+5OPGuyBVVYH9gTdSU7o7sgy2eL2bYT+0EHKtuXeczFNcYVm6yw3eUvx8dVZ2Niy3OY3PpMZIxFdytC790La9IegO1zhM+m9Qhhdwx7bBv+pU/Dx8J4W5aY+yEKx4F+OMq7O3qc7ktgNa7p0+m+wrcftlYdlJRwzFgXu7DCRIyYXGUh0oTEYyH6yQUXXGDEn3hF8zh1nmLaSIARAK4Q9uGHH/b7c5j963WQMq+4Lxi9kAze1/VVpIyOz+uvv944WN9++22zHO+++64Rs10RlEXgzjnnHJOT6y0u5xUhWaSNUQSZhoLwrbfeGo7jYEE5t4Ac3dcUyQkd48xI7gs3/oKccsopuOKKK7LGbezFu12TjU2Jft1QOX15XOCABW90h1Nsd/sbixy6fZZtz8duuukmCchCCCGEyDkoDptYis2LYHV3AMzHbdniuIxDQdiF5bCrZvRkwg5BXm57o3F2+hlL0R5ZRDsWnXYR1gd2xdaiXdBRNHlIitcNiO4OU8COsQWMATEu7vyeAtLNG2G11RtHN/KTLNps+bC29DA05k/HrIZ7UGhvmylphM41bwPlE2FVTILVuN4RrXPcdZ0I/+rX4ac7uHa5iVkJjZ6TmnDsDqRQMK5fkbDQ4jprZ6yrPrZvEwuF48a1QGfzNuF4yt6wSyUci/Qi8ViIfsK8XUYbUByOJSBTIOLzyeTyDgcY7UDHpJvfS0Fs991TG32mmPf000+H7/dV6M2FBdmSgYXLko1/4PN06bpOXYrJTzzxBG6//Xbzf0dHB371q1/hrrvuCr+nuro6/D9FWoqzVVVVyCQU3SmIUwhnITm2K8VfQnHbdTrTTV1TUxPzM/ga10VM9/zXv/71hN+b7DZJN97t2p9+wbiJvgYWBhPGi/B2+umnh7OX//3vf+Phhx8OD8QwBuXzn//8kC+bEEIIIUTKdLU7U+83L4SvebPjgGUsRctmJxc2kG8EzFDJqMEveke62+Hb6uQY0x2biJDtwwbfjthSuBtaSmYBvm2RZLkjGJciVDoayCs19y2Kul1VsJo3wle/CnZhGeySMYA/uXVryp+OD2ouNDEW1V2R9U/s5lpTMM4UOaQgz4GAYQoHQfxr3jCZxGirQ6hmOyA/CfOJHXIKQnK/qFsOK9iVVGHF1YH9sKVyHqy+Bla8wnHFRNgFFI73gV2aXISfEKkg8ViIAcBp5cyLpUj84IMPGtclBShGVVBUHinCsVsIjI5cN7v3//7v/1IWjx944IEI5+qnP/3puK//4IMPwqJbXzBX1uuE5vZKVZT8zGc+Y2IaGCHgxnKsXbsWEydONPdZ6IwuaVeMZNRDogJ0QwGXgeKxG13hisf83/uavqBYzixgQjE8kSDOAoDe7OHBjH+IxrtdP/roIyN801UdD+YOu2y//faDslypwuX44Q9/aJad+wN54YUXJB4LIYQQInuhOFa/2hGMWfwu2A20N8DHWArj8PU5sRSVU3tyYQf5nKurzYhqfhYyq2OOceIota2Yho35u6OpdA5CgZKcF4ztohojKIbKJ8DqaoVv/fvw5RWa7YLmTbA6ljtRFkXVdIkk/kpfCRZVfhETWl/A1JYnwo8HQm3obt3KTuBEVwxT8dj0p2VPO276xvUIVU6JL5RT2KVYv3VxT0G9xDMjO+1CbPDvjNqiXdBWPNXEufS5p0QIx5NgF5QjOGU/2KV9z9oVYiBIPBZigFAg5rTyG264wThnGWEwEjKOo+F6n3rqqSY3mMyfPx/PPvssDj300KTev379evzpT38K32csRCLxnaIa84bjFTJjPIMbBUA3OOM1+gML57F4nyuO19bWhsVjsv/+++P+++83/999990mczjTYiTd09ddd51xSzP+gI5cupBdMZ1ZuiwE2BfefszPoBAfb52SLRTozUiOF/uS6vbh53L96Px+6aWXTNG5vuC6uE5514GdTcybNy8sHrOvCSGEEEJkHW318G/+2BTAo/sUXa09sRRbjIBs55fArpwKu7hmcAvfdTQaQY+5rxQwmaecDM0YhXWBPdBQOhfd+bFn4mW9YFwy2vylIB8qdgXjiRGubjtQiOCMg2HXr4Jv44ewCsrMNgK3U3s97JKxQIHzGXGxfFhXfCAmtr6AgO0RQ9sanW3P6IoxO2LY0VaPwKLHTOwHIydCpWOc+I8Y0GXPDGPf1iVO5nQCgnYAG+l0L9oFrcWzYCfjdDfC8RrT5nbFZBP/Epy8r4RjMahIPBYiTVBoG6rM1Gzl7LPPxvPPP28cqOTqq682zt1EDuStW7fiW9/6Vth1TCH6Bz/4QcLv4+sp3F9++eUxn2duLEV9F4qJ0e5ZOmUTRVkQisbejNzo95x11lnGfU7H68KFC3HbbbeFncqJ4Pr3FR0xECiqU4R85plnjFhKxzHFVW97xItqqKioMH2aheQo0tPF3FeUCDN7//Of/yS1XPxcF1fYHyjMcz7iiCPCgvCNN95olrWvfZJ55W5xRu67nC0w2LDtKZYnE4/hjd5Ipn8KIYQQQgwJwU7jLjZZxg1rnQxXZhgzlqKzBbY/ALt4FELFo5LP1k0FCmdttbAoEjf2iMWdyRev7rCLsT6wG2qLd0VH4cTszujt7vQIxh3xBeOyCUBevKLRlnF+83UU/K1aP6zCSljNm0zxNzuvyIk7yEtQpNvyoTFvCqo7F21bzPY2+DuazbaIXwI8B+lqR97Hj5gBCVMgr6AcNl3H3n7DwYstSx2XsXFhx8e2LWz2bYdNBbuiuWQ2bH9yxb4NoZDjOO5uhV0+yRGO6ThmnxBJNmEI7e1tbEo3vVskgcRjIUTaoJP1Zz/7mcnGpdhI8faiiy4yU+4prnpFQ8JIBObvUuClW5TQ2fqTn/wE06ZNM4JnPJhTS8GSYvM3vvGNCEfrli1bzOcsXbo0/NpYYi4jAgoKCnD88ccb97C3+J0L4yh++ctfhiMcJk+ebG5eJk2aZMTzv/zlL+Y+/9JNzeWKVfSPIvNbb72Fxx57DG+88QYeeeQRDAaMpaB4TKLF40TRGhRV2SZuAUBuW9522mmniNc99dRTpn24Tmy/RAXrmPHrQoc6243bZ6CwmOFzzz1nBhVWrVqFSy65xPQBr0OcJwsUjn//+99HxM9MmDABgw375Je//GWccMIJRuiObkfCPv/qq69GuPC5DYQQQggh0gbPse0gEOKt2xGAzd9t9/m/89i2xynamin4LH7X3ug4jOnyZSxEYSWCo2aZv2ktLMfloDDtuop54/enAN2dJse4aDe0Fs8cXBd0ugTjzkZYXV7BeJRHMK42xdGMwziuYBwDfx6C43YGqqbBv+ED+Pz5sDubjYhs1X9itp8RIuMUMGzKnxohHvu6WoCOJuPMRWdLcjnAuUAoiMDi/zlRFZsXA/58hGpmhvs3I1H8695JKkub1GIKNubvhqaSHRHMK+vH8lA4XmMK9RnHMaMqpu5nBmtEYpYtW4B7770F859/CB0drSgsLMYJJ5yIiy/+5oiKG+0vWXzUFELkIhQG//jHP+LSSy81hfPotPzb3/6Gf/7znyZagNnAFAoppDGzmCKzCx//9a9/jeOOOy6p7FwKs7feeqspXkfxldEDdKDStekWinO58MILMX369F6fQTHx5ZdfNjfGWsyYMQNTpkwxrl2KkBSAGfPA1xFm0X7729+OuTznnnuueb3rfuVfCrbMsZ06daoRVunipRhNUdt1WkeL6umEwiM/v6GhAcuWLQs/Tgf23nvvnfD9X/3qV43Ay9gKrhvXkT+ubCOK6QsWLMC6devMa+nepWjrFtmLt0wcaODgAt2/n/3sZ03BRba5G4uxzz77mFsqUCT+/ve/bwRjCtnsX8yrZuFAPsfvY3wH+6UL14V9Y6hgQUXmgfPGGBT2DQ4usO9zAIX9wm1PwnY+88wzh2z5hBBCCJHD0JVbuwz+zYtMzME2YdgjCveIxqaIWvIf7AjEwa5txe8YnZBXCLtsAmwKm/5tJo4BwQJ7zIptXOcIxc0bHRE7RbrtfNT6pmFz/lwj1tmBFEXWoYLr1tUOq7vN5Nc6grEF5Jf1uLe9gvGEHsE4DY7ugjIjPIaaNhgRGXklZnAA3L4Ur0tGwy6siOnMbsqbGnE/L9iAIOMvKKg2bYBNgTXXsW34lz9nCgwax7EdRGj0DuGBB9+6dxBY9XLCj2nEGGzI2x0NJTsNLBolpnC8vxMJIxLyzDP34VfXXoAg89h7aG9vxb333o0HHrjP1LCioUj0jcRjIcSgCMjMPv7zn/+Mhx56yAh5vFG464u99toLF198cVKCpssOO+yAn//857jmmmtMrITrsPVCUY7iYF8CnDdCgEL34sWLzS0WFFwpTu63334xn6fw+eMf/9gU1+O6c5ncGAve+npPf3OYk4GCOLOPoyMljjzySPNcIii4//SnPzXrRfGVzliKsrx5YTE+iuqMH0kEoyToCuZAAUV5Fh/kzQuF9lTFY3e9+N5f/OIXJivYdXjzFs1RRx1l4lHoPB8K2N5uLjNh/3jzzTf7fD0FdbZ9LDe8EEIIIUQEbXUIfDIfvvrVTsxBsNMRfMO3HgHYc7P6eDz69V6h2S3GFqreJmwOuLhd03r4mtaZzFwjTBsZMjU6UIJa33Q0BqahtXAyOgrGw7biF08ecijiM7uYxdOCbY5o3CNm2XT65hdHCcZVHofxIESAsKXLxqO7dIwTu7BlMazCCljNm4HmDbDa65xs36jvbs6biBD88PWEVLAHWC11Zt1MdMUwEI99696Gf9NC4y5GZ6sjHAecawbf+vfiCsetqMD6wO6oL56LzoJxA99HKBw3rAaCHT0ZxxWO47hIwnGyjuNo4dgLNYDzzz/fFGCXA7lvJB4LIQaF6upqk0X8xS9+0ThXORV/zZo1YUGPOa50XDKX9sADDzRT+PtTYI65vXQ1Uxx98cUXjauU4hw/m+LjGWecYVy/ffHb3/4WixYtMiIeHcYrVqwwn0GhlMIzl3PWrFnGLcsieMnkWvM76Z52IynorqWTmu5dvn/06NHG4UxxkJ87dmzsggvp4thjj+0lHieKrIhuY7q7eWMBQjq76cAeNWqUEb4Z+ZEo1zoais0cZOBy0b3M7GNXnB4oBxxwgImmePjhh03hPGZws/0pEnOZ2efYJkN9csA+SSc6+xoHUtjvuE/QcexmIdOZz8EHxlqkMpAihBBCiBFKsAv+tW8ZscvqbDVOSRMfQEHSqHqcYu9jHpkj8/F+1M2mmzLG487Ngu2+jmJsQVncSIOkoMjI3GSKlY1r+yUWt6AKdb4ZaMyfinaKxXmj0huXMVA4azHYDqurnaHA5ka3NjFRFBQiC8th+wtN3jDjJMzbiqp6MownDk5mdCwsP0KjZyNUOQX+TR/Cx/7QxTzkjfDVrYJdWAa7ZEx4GW0rD635k1DauTIi99jX2WRyqHMda+tSBFa+Yvqmr2WrE1XBgoLckzYsQGDli73e02EXYX1gV9QV7Yz2oinp64u9hGM6jufBLoqs4yP65t5/39yncOzCazG6j1lPScTGstNxpS6EBze7VohUoXjsFgej2KfDk8gV1HdFLqP+K3KVbO67voULUTFvXtzXNLz0EkJz5gzZMolh1ncZUVH3CQIrXoDV1hAuIEeBjyKgyR42YnGWFIRifEb9KvgpGNetgMX4jBRowDjU+6ebvN22wsnozsuigsLcfnQUG5G4rUcs7oBF8zabP1Do3FiUzvzPiA/LiPY2txMF46JKE00xOA7j1GA0iW/D+/C11cFqbwDoREYIKKqBXVQN+H2Y3voExjU9H35PR14NfDP2Qah6Brr2Pi99MSZDjNW0EYEP74ePhQS3LkOoYpKJCyG+TR8hsPzZXu/5OHAc6ir3SX+WNuNlGtZECccHmL4ikmzCUAgnnTjVRFQkgkYeRjCy7s9woKoqvQMMch4LIYQQQgghhBC5Qlu9EY19dSuB9nrnb7ATdtk4k0E8YGdwumDkReM64zD21S5zojSSIGT7UGdNRn1gOloK6CyehKA/86JqWChmLjMFYq+r2LZ7hOJ8gPnKhVUIGaG4IOzeNhnCRZXGNWpudHGb0Ifsgjm6wRmHwK5bCd+mD2Hll8Nq2wKwQGJ7A+zSMWjKn4Zx2CYe53XVI8QiihzUaN4Eu2ISco6OJgQW/RdWez2s2uWmSCFjPYhv88fwxxCOFwaOR331IBS3NsIxHcedsCumGPe3hOPU6ehoS0o4JqxHxMLvycw0HolIPBZCCCGEEEIIIXIhomLdO/CtfasnomKliaigIzE0anvjbM04FA9btziC8ZYlsLpaki5u1xCYhpaCKWgvnAjbl2XO1a4OWB0NPXnS3Y5QTHctBeKCMoTyetzFJt7Dgp1fFnYU061L8Y/xELmDhVDVNITKJ8C/+WNYtf6ePORN8DWuRUuRE2HhwvzjUNtWx2HeuC73xOPuTgQ+fgRWa61TIC+/FHbVNCP8sy/7lz3dS+b/OHBMeoVjRp10t5p9m0I2B1+McFzUE1VhZhOIZOGMjo6OQuTnF6OTbZqE81i1ZvpG4rEQQgghhBBCCJHFmIiKTxhRUQ+raQOspnVOVm3NTCdKINPxFO0NjshGwbg9cYxh0PZjo29HbCncBa0l28H2RYqRWUGw2xGM6ajt7nCK2lEopmOYQnGPw9vOL+lxE/e4iinypTvCIFP48xEctwtQNR3+De/B5y8AOpvR1b4VbahAERrCLw21tQKdTaZoXgg5hB1CYMnj8DVtNH3Y2a9mmYEA5h/7lz7VSzhe5D8SddUHpifupLMF4CBLV6sTdeIPAHklsIs56FCO4LQDYBeUD+y7RhChkI3GRqCunlnGPuy994l48cW7E77v5JNPHjaRFYPBMDmiCSGEEEIIIYQQw4z2RieiovYTR6CtX2kEJ7t0LOzyiZmNqOhqhW/rUsdl3LwxqbdsxixsKtgNzSWzEQpkSRRFdIGyzkbT7lw/AwXjklGOG9XnM8XjjLBHRzHzZ9OQ78tsVk6xLygoSquAlbbPLWBswjyEmjbAv+EDBEqr0Lx+AoqCHvG4ox3+jmYzuEFBNqsKGMbB/wkjYFaYvswBg9CYHU12OKMrAkuf7FXQcYn/MNRWH9y/L2PkCV2wFIs7W2GFgrB9lhGLUToGIf4NFDju9aJqBCfs7hSpFImbNmijoYE58o6Ju7QMqK4CvvilC/DKK/fFLZoXCARw/vnnq5XjIPFYCCGEEEIIIYTIJkLd8K17B35vREVrncnJDY2dlbnCasFOI2RTMGYma7SwFos6TMTGvN3RWLojgnkVyDroAO1s6YmlaOYDTvsyQzq/HPD5ECquMhECoYqJAN23aWLZsgW4998344UXHjbZrIWFxTjwwBNx+hkXYObMuVn2uZbJAA6WjYW14lk0F0zD6NaF4WcDXT0u7WAXrJYtJhs52/Gtf8+I4SziyKiI0KjZQF6huU83skUR3MMy/8HYUn1Y8k7/UNARiY1Y3GLaxsnGLjL516F8isVFTi52frEzMFEyGqHS0WntZ7lIsgMf3d22EYwbGp1dubwcqKoE8vIsVFQAc3eai1tvvcWIw93d3TGF41tuuQVz5/Z/fxsJSDwWQgghhBBCCCGyBKt+FQKfzDf5q1bzRliNa4c2ooIKTKh7W2E4FrrrbDFF7+jQtPhcAppRgw2B3VFfMhddBaORdZjIgHZTAI6ioXGA5uUDLJLGwna+gBNHUTkFQeb35pemfRGeeeY+/OraCyIckRR6n3zybvPc5VfcjMMOOy1rPjeM5YdVMhrNRdsBrY+FHw7Y7ehuq3UKJTatz3rxmFEw/hUvmmX1NW9GqHo6UFju7H+LH+slHC/3HYBN1UfG3//Yr7raYHU1G9HYKaYI2CykmF/iiMUcmPD5YfvzjFDsiMVjzPPZWEBxqEl24KOryzbRFIyo4CahUEzROBCwUFkJjB3DHGOnPU877TTMnj3biMQPPvigKY7HjGNGVVBUlnCcGMtmirQQaaSuLnHGlRCxsCwe6J1CAPX19SbkXohcQH1X5DLqvyJXyea+61u4EBXz5sV9TcNLLyE0Z86QLZPIgb7b0YTAihfh27rMFGajUOtEVIyBXT4ptYgKOh57hF/m9SLYAau70/w1Oas9j7FQmOU+1nPfvDZKOEuGdpRivX9X1BXvgo7CiZnPYY4F17eDsRQNjguU+bKF5bALKpy4gEC+aetQ5WSTXzxYYh4FsgvOPzzuVHq/P4Cbb3k6JafwYH1udP8taV2H0Ko3seu6q5CH9vBzXRUzYM84AMGJuyO4/THIVqyWzQgsuN8pALh1iXFU2xWTjZs+8PF/YdnBiNd/4tsf66uPhRXtgDWDEJ1hZ7EpeBeynXzs/GIjCHMQAr482CymyLgTCsbcpwexf+UqsQY+vP2WAx/z5p1qnMaNTXwMqKxwhGM6jaurHdG4oMDqs++Wl5ejra0NHR0d5v5wpaqK/St9yHkshBBCCCGEEEJkilAQvvXvwr/mDRNRQeejr7UWdkEpQmNmOSJUIuwQfJs/ho9T8Nvqeolfg0W3nY/1/p1RW7QLWoumZzaDuS9CLHzX5EQqdLWZ3GLklyFUVm7a1rb8sMsnIFQ5CXbJ2CHJ6qWzMp7AS/j8fffegu9dflPGP7cXpaNg+X1ossah2l6x7bOZe8yieY3rEaSwmo3iXGeLIxC31Rs3vcmuLp9kHP6BRY/22ndWWnvHFo4pGjeuMYMyJoqCjuLiUU5ucR4jJyyEWOiOWcalo2EXjxo+hRQHAQ589CUcEz7O56/4/vaYNn0uRo9yIiooGo+qAUaPBvLzE/c3RmCUlJSgq6srqwadsx31XCGEEEIIIYQQIgNYDWsQWPYcrLZaU2jMalxnBDdOoTdiUyLxzbZh1a+Af9Ur8LUNzQzQkO3DRt8cbCncBS0l28P2DbxgXPpjN7pgdbUbBzc6mWMMp+Bd+QQjytMZajOiomIyQmXMMQ4MaZYrp+Qnw3PPPYTTzvgD/H6f6Qrmxn7j6/nfc7PtEObPT+5z589/CJd994b+F9FjoUBfHhrzJqO6c5t47OtqhsWieXThsu0ZAZJNBDsd4bi11uR2U/C1q6bDat6AwMeP9IpkWWV9CmtrTowhHHeYQR4OltClboRj5hYHCmFTKC4di1DJaCBQOLTrl8MkO/Dx0ku34pBDbjTxFGNGO6Ix/xeDi8RjIYQQQgghhBBiqLBt2PVrYK95G4FV7xlHLAviMSvVFMxixm4SDkWKzf5VL8PXtH5QF7cLhehCEZqtUdiSPxdNJXMQCjCfNcO4uczMZObNRG44N+bMEjuvECgdawoNsk1DhRWwKycjxBiQvKJBK+IV+7022juA2q2tJss1GTo7mfnahgLGHzA71zGZb/ufOnnQ+b+9nVPxk/tcfj/Xo6iof9vRonpdXI3mvOlA5wvhx/ODjehurTVFB9kv2d5Zg20jsPQps1xGOLZ8CNXMciIsPn64l3C82toDa2pO6i0cd7WbeAsOOHDwgfEToappThQF+5miKAZ1QOXVVx7ChAk3YMxoC36/ROOhQuKxEEIIIYQQQggx2LDo3OaP4d+0ECG0w+5qh2/rclgtW3oiKnbqKZqVgLZ6BFa/aqbcJ0M38o34a26Wc+u2ChF0//q23Wx/gfkbMvf5fIEpkJYxqI66grBHHDb3qZryJdSPKLb78x0HKMU8/h8ocArf5RUZQT5Eoa+fYmayRbyiYVGv1lagpRVoa6VrG/BZRSgoKE5K6OX3TJnM2BJHJAv1CMexCIWKzeuTEab5OgrgA6J0NJoLpyHY4ocf26IerPZGp2hc43pg9A7IFsxAy9ZlTqZ4dwdCY+aY6AojHAe7Il67xtoVq2tOgRUdw8L1MsJxvuNaLxmF4NT9nb4n+g0HMpIdUOHrysva4fdnwQDWCELisRBCCCGEEEIIMVh5u3UrjGDMae50NzKT2O5sgN3eAISQfERFZyv8a9+Ab9NHfRa0q8NErCo+AqHCanT7ihC0CmBbWX7Zb2y0LPDnuog7tjmJGT/huojpAKVIxxuduBTwKBD788I5xaYoWX4pQnnF6LDykFc1GVbZmAG5QWMV8aKA9eSTd5vnWMTrsMNO2+YubnfE4lbWUOtyvrmwiAWsgJISFvPy4aCDTjTvT8SnP30ydt0lUsBkTqsrIhvncfh/H0444UTce2/izz3ooJP6H1nhwniGQAFaMBrl2BB+uKu9Hf6OZvia1nkk5czi2/gh/GvfcaIm2hsQGrWdyRcPLHzI6XMe1mEuVtWcGkM4bjUxM/AXOMJx6SgEp1A4zhvalRmGcCAj2YGP4uJiFBUNcOBDpEyW/4oIIYQQQgghhBC5BafC+zYtNNPjTfZuZ7N5jFmrpiBXaTWs0bMQ8pUkdvYGO52CeuvehRWKdEi6NKMaywuPQnPpTr2n2WcbPW5ik4vLW3cbLCqgrovYFYgZARDId1zEvHmiPIybOL8UYH4xs4zN3zIsW70c9/77lpQdwgMt4lVdvT3GjJmLtjbHXRwIACXFQE0NQJ2L0+v5GAt8lZcB3//+BXj22fvQ3d13xmsgEMD555/f63HL4nT92O+5+OJv4oEH4n+u3x/Aaaf3/tyUKa6iLIvGwCSUd28Tj53t2gSrtc44dfsTD5JOrOZN8C9/DlbzRviaNiJUNdW41gMLH4TFgQoP6zEHK0adASs6NoaFLBtXA4EeF3vpGASn7KcCeGmCAxnz5p2Ip59OPPBx8sknD3zgQ6SMxGMhhBBCCCGEEGKgMIZiy2L4Ni+Er3mzI5C2bnVE46522IF8p5BW6SjklVY676FNtY8YAobZUoD2r30dFkW4GHTYxVhecDjqyveE5cvL3rRVOq47Wx2xuKsFVrDbEYoZM1Fc0xMz0SMS96yFzciJglIgv2ybSNwjFMfKhE7FIZzuIl733nsrzj//RlRVA6UlQH6+ZYzkdBpTLKZoTBGZwi+prt4Zt9xyixGHYwm9FI75/Ny5qQnefH28z/X5AvjOZTf1S0iPxqLzu7AczXlTge43w4/nddcj1N5gujVzue3q6cgkvo0LzP5j1a9EqGwsbH8e8j56AFZ3e8TrNmA2VtSc2Vs4ZgHAxrVOcb2KiQiVjUdw8t4SjtNIc7ON/eadj+eeuy/u/tbXgIoYfCQeCyGEEEIIIYQQ/cEOwapf7QjGtcuNKIr2evhatpi/dGaaglqVU4GCcieaIpHCa9uw6pYjsOpVWOYzehO0A/gk7yBsLp8HBAqzTzSmu5iO4rC7uN3ET1BAZzuE8osd4ZgxE4FC2EUVgBGHy3pcxKUAi90luWbJOoSnTp3dp3AaDNoIBhG+dXWFMH9+ckW83nnnIYwff4OJpHDF4jIapwN9L/9pp52G2bNnG7H3wQcfRGtrq5mST2clBbJUheN4n+s4sE/CfvO+gRkzBi4cu9jFNWgsnAW7dVvqig8h2HQd0zHP6IpMisehbvi2LjWDOHT423mlyPvowV6DMZuwHT6p+WzvCIqOJkc4Zt8sn4hQ+QQEJ++V2RzwYQQjWLZuBerqgdnbz8V3v3cTfvPrb8bcj/s7oCLSg8RjIYQQQgghhBAiFdrq4adgvHkRrI5mJw+1ZQus1i2Oq5aZvJVTjbgWyyXbF1bjOvhXvQJf87YYAC+2bWGVfy9sKD8Uofzy7Npm3igKtkcoBJu5sRSKiyoRoiBMNzEF45JRsEvHGCe2zXiKAcrfyTqE77rzFnzj/BvRHTTGbiMSd/f8jVXEK5midua17a2YNrUNNTUlYXdxMlAIu+mmm3DDDTegra3NZLmmY0p+9Ofm5xdi0WIf6htsrF0LNDTYqKgY+JAD+3cwrxytVhVKUBd+PNjeBssIr+uRSZg3zkKLFI+ZkZ236GFYXZHbdDNmYlnN53oVvTOF/5rWmfgUu3wCQhWTEJz4qXC+thgY3d02NmwE2tuAUaOAqkoLc+acjqOP2gF/+tOtaR1QEQNH4rEQQgghhBBCCJEIOim3LnOyjBvXOVEMJpZiixFNbX/AFL4LsfgdBdNUaKtFgKJx3Yo+X7Le2hFry49CV+Ho7NhWzClmBEWPYGwFu5woikARUFSNUH5J2D0couu6dAxCFIuLq9M65T8UCpmM42R45ZWH8MUv/QF5eT4YXZtJGf7YN8tKrYhXdXVxSsKxFwrGJcy4SDPez50yxUbnUgvlZTa2bAWKS2zkxXFGJ4NdUmP+NvknoCS4TTwOdbbBT/G4ZRMQ7MpYUTn/5kVO3nhbA/y1y2B1tUQ8vwXTsLT6CzGE43qgaYNxydvl4xGqnILgxD0HPMghHNrabKzf4LTmxIncfyxMnACMGcNHdh6UARUxMCQeCyGEEEIIIYQQfWA1rYdv40fO9PdgJ9De6AjGbbXOCworEBw1CyisTN2V2NkC/+rXjSBt9RF+vBVTsbLkaHSUTM2CKIqOHrG42YmlYBQFhcH8kh6xuISKpZPvXEJn8RiESsYMatE0OoSTEXhJZ2crxo5tR1GRI6hS683LAwIUjAPb/mdxu0CeH8cddyLuv394FPEqL7NQU+1Ec7S2Aps3AxPGD/BDWUAuvwRNgSkYF/ww/HBeVwNsisehkBGQGfkw5HS1m5xjq2ENfFsW9SqOtxVTsKT6S07Wtgerrd7Jai6qgF02DqGq6QhO2E3CcZqoq7exZYuTAT5+HP9amDYVKC21hmRARfQPicdCCCGEEEIIIUQ0rbUIrHgRvvpVTmavG0vR3Qk7rwh2xSQnliLKtZgMdncH7FVvIG/1W7BCseMWmjAKnxQdg5bSHbYFyg4FJs+hyxHK6Rrl31CXIxyHgrApkjKvmMX/KBizcJplmbZwBOOxTobxILs0mVHc1ATUNxQiP7/YCMOJKCoqxi47F4Udx/Eyickll3wTDz10X8zic7lYxIsuz8YmC6NHO87PpmYbZVGiXarQSd5YMBPwaLN+uwPdHFwJBU10RSbEYzPY09mCwMqXegnHdZiExdVfBgIFEY9brbWwmjfBLq5yilvWzERw3M4SjtO0v27aBDS3MKLCiapg35s2jYM2cnRnOxKPhRBCCCGEEEIIl642xw28cYEprOVrWA201TkFt4qrESoebZy2KQu6LITXvNEU17O3LnUygmO8rN0uxbKCI9FYvlta4x28y8HIDSMQhygQuyKxc6NAHH4phWKK43QXs/CfKXRHF7HlFLYrYRTFGNhsE1p3+xE5QedwQUHyU9Nb22w0NgLNzVxAoKTEh3nzTsSzzyZ2CJ9yyskoK0u+2BkzVlmki+JwLAE514p4USyfNMlGV5eF0hLbuI+Li2z4/f0X7xjV0lkwFh0oRgG2Cfh2WyvQ2QRf03qEMPTQbcz8cKu7PeLxekzAx1UUjhmpsg2rhRE0m2GXVDv9etT2CI7dUcJxGujosLFhg5MvTrcxXcZjxzrO9/5GvYihReKxEEIIIYQQQggRCsK34QP417xhHIssXkexl8KpXTUddhGzepMXHsN0tjhC1qaPYbVvy4WNpsvOxyd5h6C2fB/YUcJWv/KI6RamQO0Kw0Yo7nmsJyHDZBRToKY4TBdmfpmJoWBxMfOYZ33N4yWjw4KxEdD7ybJlC0yRO2YVM3KC2cIHHngiTj/jAsycOTdmca3GJhjRuKvLiZeorgYqyukgtnD2Vy7ACy8MjkP4tNNOw+zZs41IPByKeLEwWV2FDTbVylUwEQIU8vpLqLgGfsuHJt94FISWhR8PdjD3uNlEQMAODW2hufZG+BrWwVe7POLhBozDx1VnO85576AOZxS0bHUKOZaMQnDMHIRGz5ZwnAYam2xs3uTss5MnOTEVU6cAlZUSjXMJicdCCCGEEEIIIUYuFI/qVyCw4iVYbXWwmjfDalxjBC9Ot+f09ZRFY07Xr18J/+aFsOpW9plnbF5q+7DKvw82VBwMO6+s/+sR7HZymDsaYQW3iahGIDZicL4j+PorEQqLw/lhBzWjJ+jGZIYt8kthU2DLL4HN/+k47kc8RyyeeeY+/OraCxD0LCMF5CefvNs8d/kVN+Oww06Dbdsmm7ehEWhpcRaztBQYO8YRoBg7UVPtiMh77L7zoDqE+b7hVMRr0iRGVlgYNcqJEigrs03Rsn5BB7o/D02ByRjVuU089nc1wepsgsW4k9ZaI8oOFb4ti2E1rTPf7WVJ+Zmwmcvt3fdbNjvLVzraRK8Ex85FaNR2Q7asuU5fswdCIacwY0MD+xcwZjRQWmJh+nSgoEDCca4h8VgIIYQQQgghxIiEOcb+lcw1XgO0N5h8Y0ZVhOhArJiUsmBqtW41sRS+zYthdbfFfa0NC+usnbG24nAECwYgrPWIc+hocNydhRWwAwU97uH8HuG7RyD2+R3xzAjExWFh2AjGFIutfjirU3QcRwvHXvg4n68o3x5VNXNNcbeC/B7hqdRxGVOIGlUDVFSwqJY1pA7h4VLEKz/fwsSJLJ5nobnJxsZNwNQpdkR7Jo+Td93YNAPofC78aF6oGd1t9WYQhkUnh0w8tm34Ny+Cb9O2An6u67ircEzE68zMgvZ62GXM6a5CcPwuCFXPHJrlzHHizR6YMmUnE1PR0ensuxUVltlnOWjRvz4mMo3EYyGEEINKMBjEf//7Xzz11FNYsmQJmpqawo6Q4447Dj/+8Y+1BTLENddcg0cffdT8/6Mf/QgnnHCCtoUQQoiRQVcr/Ktfg2/jR7C6WuGrXw2rrd7k+AbH7pRaJEN3B3xbljiiccumhC9nIbyNhfuiqWI3tKPI5Pb2K7e4u80p8NXRDJt5w4yUKKqC7Qs4BevySnucw444TKHYKRCWOfGGYlNfwrELn3/ggVtx8bduRHm541JkgTs6jOk0judaHG4O4cFkVI2FulobY8Y48RVbtwKjR/fvsygetxZMQXdzHgLo2vZEG3NGWk3RPJjCc4OP6yT21a2KeHxT3i6eBbadOA0OuJSNQ4h53uN3Q6hq2pAsY66TaPbAV75yE/bZ77RwTAVFY/Y3kbtIPBbDgsD795iTPrENTjPr3uUzGW+S5uZmvPLKK3j99dfx8ccfo76+3tzy8vJQVlaGKVOmYMcdd8QBBxyAXXbx/KCLYUFXVxcuvfRSvPnmm5leFCGEEEIIUyhuW64xRa21sJo3GYdusGaWKQqXVCE8ik+Na+DbtNDkqlr2tiJzsei287HOvxu2FO+OjuLJyC8o6MlD7kxdNO5sdkTjrjbYgXzY5eNgF9BtnA+7egaC1TN6FQMbKP0pbBfrM+hSTIZ33nkIo0bdgKpKH2pqYETkVAprDReH8GAzZQrQ0mqhpsY22celZTaKCq1+iceMQWm2xqDSXht+vLu9Hf4OFs1bh/h7SJojKxrWwApGRlY0FO/oEY7Xm3gXlI1HqKgSoYl7IFQxZYiWMLdJZvbAHXd8E3vsORtlZTtjxnT0PxJFZA0Sj8WwgMKxKWjR0ZTpRckK7IIyoHxCRpehvb0d//rXv3DXXXehkZUtYoiKnEq2ceNGvPHGG/jb3/5mhORvfetbOP744zOyzNnIKaecgg2c8wPg/vvvx4QJmd2uqcLt7xWOd999d0yaNAkFPRdMO+20E7KddevW4dRTTzX/jxs3Dg888ECmF0kIIYQQqULBqO4TJ9e4vd4IxhSOw7nGZeOSK+jV3mhyjH2bP4bV2Zzw5VswAxsK90RzyRzY/h7B2Orn8tMlSdG4uxN2XhFClRPD2cShmpkIVU4H6EBOI6kWtusLFrxraGg1n5EMfN3MGW2orCwdwNKLRNDFPW6cbeorNjXB5B9PnpR6fIVdVAmbRfP8k1DZvU089nW1mGt0uuPBa3Vepw4mdsiIx75NH/WOrCgY3SMcrwXo1ud+X1iO0MRPIcSIGpHW2QP//e+tOP20mxAISDgeDkg8FsMG86PEE8A0FXLIWYKdAH8IM7gIFDsvu+wyLF26NOJxCm8zZ85EVVWVcR5s3brVxBjU1taa51etWoXvfOc7WL9+Pc4444wMLb1IJ24kAmE8BWMqhBBCCCGGEk5j9694Eb6GtSbflLnG6G6HXTwadsXExNcPwS7jLjaxFLzeSEArKrAusCfqSndDd37NwBaehfeYG8tCeHQ3F5QiVDYeoHhcUA579HYIlU9KTvgepMJ20QSDNjo6gPYOoKPd+cvEslCoCPn5xejsTCwgM6u4vLw47eskesMChPX1FsaOsbF6NVBX78SDpITlN5EpTfnTgO7Xwg/nddcj2N5g/vc1rkdo9OCKx8Zx3NECX0OMyAozW2Ctce47wnEFgpP3hs39SaR99sCzzzwEn+/GjMbkiPQh8VgML/z5JqtoJONb/27GXZrnnXeeEYYJp5cdeeSROPvsszFjxoxer2cV5YULF+Lf//43Hn/8cfODRNeyyH24HVeuXGn+Z0zJMccck+lFEkIIIcRIorPFyTXetNBEVJhieO0NZpZeaMzMxLnGbbXwr38fvq1LYNGgEYeg7ccG31xsKd4DrcXTB154LtgNi4Jxu1NwzBTBK64G/AWmmF9o1HawS8cOmjCTbGG7SZO2x6RJc8NCMQtkdfVE3jLdorAAKCsFCgvpcvXh4INPNOJzIljkTlnFQwOv16ZMttHWZqGq2gZ9PaUldtxs6ZgU16CpaCbsFguW5ViZLJaFpHjMfO6mdcDo7TGY+DYvglW/stf+2lC0gxGW0d0Ku2KyOQYEp+zbsw+JZGF0TbKzBzjLmLnjio8ZHkg8FkKkDUZR/PCHPwwLx4wmYEGugw8+OO7JCjOPr7rqKnzxi1/ET37yE22RYYI3rqS6uloXAEIIIYQYulzj9e/Bv/YtWJ0tsBrWwmIhO38BgqO2Awor+841pjuxYQ38G951HMoJqMdErM//FBpLd0IokIaM3e4Ok2dsCnnRTcw4gKJq2P4845A0onFRqrbQwZua/ve/34ovn31jWCguLeE1gHNjkTvKh34/UFxENzHwrW9dgGefvS9cPDkWgUAA559/fvpXSvQJM2nHjHHiK5qbnfiKSZPslHKmQyXVCPlL0GJVoxTO9SDpbmuDj7OEmTM8mAQ7nRkCmxb2iqzobmsHgu09wnE5glP2g10yanCXZxjCzPOCgmJ0dCQ3e4AFK8XwQOKxECJt/OMf/zAuYpcrr7wyrnAcDSMt7r777ojPELmL96IglRNPIYQQQoh+QeG3dhkCK1+C1dawLdeYT1E0osuwr3gHCs7MSl3/Hnx0/Mahwy7GusAeqC3ZDZ0FzEoe4HkOi+DRmck8Y2axMre4ZLSJAbB9AdhVU5xifvmDnBfbn8J2bz+EH/3oDygsZLtaRkSmSOyKxbxRSHbPBSdO3Bm33HKLEYdjCcgUjvn83LnJ5ymL9DB+HNDQYGHMaBtr1gL1DUBVZfLvt4uciJYm/0SUBreJx+hqMxnDZlCkqx3IS28xRxdf7QqTB+5rXBPx+CZsb/Yvu3KKE1Uxdb/wsork4YzhpiYLe+xxIl55RbMHRhoSj4UQaYsoYPSEyyGHHIIjjjgi5c/hCOWee+6J+vr6PvOUH3roIbz22msmIqOpqQllZWWmkNy+++6Lk046CWPHxp9+9Mgjj+BnP/uZ+Z8ZvMziHWjBtL5eQyGche7effddbNq0Cfn5+Zg8eTIOOuggnHnmmTFHY72f5SXWY+Smm24ybRaLhoYGs76vvvqqiZBgu3IZRo0aZd5zwgknYM6cOXHX/89//jP+8pe/mP/POeccE0vC7f3EE0/gqaeeMp9LtzkvAP7+97/jS1/6Usztxu3jhcXzeHHghXnXL7/8smmvZcuWmYKK/C5Odxo9ejR22WUXU1CxPxcU/Nz58+fj/fffx5YtW9DS0mLan32H7vf999/f3HjREt1P4q2Hy6JFiwa1j7l88sknZnuyjfg/16Wjo8PsB3zvbrvtZqZ6Tp8+PYXWEUIIIXKQYKfJA3ZudbAaVsPXtAFoq4OvYbWTa1wyxuSbwp8X+zM6W+Hf+AF8Gz+E1d3W51fZtoWNvtnYXLgHmku2B3x9fF6KYgyLiFkttbC62mAH8mGXj4NdUOH8Xz0DweoZQGBwxLZ0TE2nA7Gmph2jakqMUMx4ikSmgdNOOw2zZ88254EPPvigmd7OawCev1BUlnCcGVgkj8Xy2tstVFbYqN3qxFfk5SU5OOLPN3EQTXnTMD74fvjhQFc97PZGWBzcad4Au2ra4Cz/lsWwapf3iqxotMabwpLIK3YcxxKOU6a11cbmLUBnJ3DiSefj9dfvizszQbMHhh8Sj4UQaeHZZ59FXV1d+P7nPve5tLfsX//6V9xxxx1GKPPC7+Xtww8/xD//+U8jcMYSMIcSXgzcdtttZnnp3nDhsn/00UfmRhH8hhtuwMSJEwdlGe69917ceuutaObcMw+dnZ3msRUrVhhhmwLy9773PZNLnAwULBlPsnz58rQuL9virrvuci6kYkRg8EZB+T//+Q+OOuoo/OAHP0Ahr1ASwOX86U9/GtPRznZYvHixuVGw5YBHtGCcTbDdn3766ZjPcWCAt48//tg4+Dk4cdFFF8HPuaJCCCFErsLzgq7WbQJx+Oa4dMNQMOpqg69pPaz2RtiF5QhV060bu+ia1brV1AoxghMzhfugwy7Bqrx9UV+2J7rzKtKzTsFu2M1NJlPZ10HRuAihyolG4LLzihGqmYlQ5XSADuQhpLubzkI6TgtTKmy33axiIzymAgViGiB4/sdcVA7oK+M485SVWRg1ykYwCDS3AJs2AxMnJP9+u7gGjYUzAU8JG7/dhSCzuxkr0bQewcEQj3mMqF8J35aPe0VWdCHfFJqksM3lE8nT2WljyxagpRWg52nKZGC7WTvjmp/ejKt+fIFmD4wgJB4LIdLCm2++Gf6f7sddd901rS3729/+1oihLjzBpHO2pqbGuF7ffvtt41qgOHvzzTejtrYWl1xyCTIFhWPXrbv99tubSA6OwFKkdB2qdJtStP3b3/4WdrsSumxPP/108/+jjz5q1st1sPIEPRo6cqO5/vrr8a9//St8v6Kiwpyk03FM8ZjLQSGWQu3DDz+MzZs343e/+13Ck3Y6mS+99FLjwGWmNbcztzeXccGCBeY17rLzMS4/4XJz+b3Qge2FLmMujynaMWUKpk6dapabbcPv5TKvWeNMQ6PrmcLvddddF9fd8tZbb+G73/1uuA0Jl5dO4/LycnOxsmrVKixZssSc/LBtXKZNm2bWJdF6DCVsd0JBmM5itmFpaam5zwEUDkpwW7Iduf25PuxjQgghRNZDAbe9wSMS1/b8rYfV7RoHGO/Qbqa+06lroh44Db67HVYo6LwirxDBUdubAnO94iR4nlG/En5GU0RNbY+mEWOxumAeGst2Bnz5aVi/nmiKtnqgsxG2zw+LRfCKxsDOK0KooBz26O0QKp/Ud7RGEtC0QOcws0mTEWN5zsDTpIZGoKXFabLSEh/mHXAinn1m8Kem870qqJVdTBhP44YTX7FuPdDYZKO8LLnBAbukBl35NWhHKQqxbXAn1N4CdDbDahyc3GPflqWwgt3w9cTUuGyyZjvLlV8GuzwFFXyEEww6hRMZXcLLVEaalJZaZnbBpInAHrufjgMP2EGzB0YQEo/TxGGHHYa1ayMPVMlCEYQiSTph4bHXX3+9X++lU5JTt4VIhffeey/8/0477ZTWxmM0glc4pnj3ne98J+JEkxEEv/nNb/C///3P3KdwxogD7ptDDcXs22+/HZMmTcLVV1/dqz3oHGWBQIqVFHB5DPAKkhRML7vsMvP/iy++GBY+zz33XBOxkAiKwa5wTLHzwgsvxIknntjLWUxhlQUKKTYyBuHOO+80x4540PUbDAZNu1KUrKysjLhY4c1ddorjruhKodZ9vC922GEHEwlxwAEHRHyuF0Y10BlMEZkxFNzexx57bMzXUoymU9dtP7YdlzlW7ARdzdwurjhNKLbzlsx6DFWmMwdMzjrrLLMOsS60eAHIPvOLX/zCiMl0ltOlzSgLIYQQImtoq4eveaNHIK5zhGN3thaFYCMMUyB2hWKKxB1m6juh+Iq8IiO8oqgKIf4N8GYCdiO/L9gF35ZFRjS26ICMw0ZrNtYX7Y+2khkDEnHDhIKw2huAdorgnSaOAsWjYZWPhuUPIBQoN0X8TB4z+n8+sWzZAlPkjlnFjJwoLCzGgQeeiNPPuAAzZ86N6ShkbePGJgpFQEE+MGY0BSIOUlv46lcuwAvzVdhuJBIIOPEVnZ0WykptbNnMDGvbPJ6IUFEN/LDQ5JuAwtDi8OPBjg74GdHSvNHki8OXXimK+zfzzq1gV+/IikAx4PMjJPE4IbyWaGiAEY55pK2pcXKvCwosM6hQVbXtukezB0YWEo/F8HEq0JHAHwueXI5k2AZxpt4NFsyqdUln1irFSDqJXQ499FBTiC9arKOQRkGWQiFzbQnfx+zloZ4C19XVZQRg5rjFcgUffvjhxiFKsZZEi8cDgSL6H/7wB/M/3ah05jJbuC8hkq89++yzjWObkR9nnHFG3CgICsf77LOPEXCj25X3B9LWX/jCFxK+hiIol5mxKFxm5mz3JR5z+7vZ2XQbM7uZTvVYUBT+9Kc/jWznggsuiPs894sDDzzQDKRwsIGwjSQeCyGEyApsG741b8C/5g1HBA52OC5iZg2bv3QVt0UIQEZsDRSZHGCUFiHE/F8W3GLmcKLB285m+Dd8AN8m5hlHxp55CdoBrPHvgc2l+6KrcGx6XcYdTY5juqAMobJxJncVgXz4xs0GRs1EsNsXM7IrFZ555j786toLIjJIKSA/+eTd5rnLr7gZhx12GkIhG0wzo8u4vZ3nbkB5Gc+DHHGIPoPqaqCmms5CFbYbyVRUWKiqcuIrVq6Cybul+zQh+cWwA4VoCkzB6M5t4nGgq9EpmsfBlJbNsMvGp29hmXHetNEIyL0iK+w8oLAcdn6JKZY3kkk0K6GlxYmo6OwCKsod4Zh512PHAGPGOINKsdDsgZGBxONBgBfvqQgoQ+FYSyXzcqgcdOnCv/h/yHvlJvi6eqalr+mf43o4Yfvz0T2E25GCJUVFFxbuShduYTxC5ywdx331UT5OVygdqXT10kVKB35fBc4Gky9/+csxhWMX5gy74nGsLN7+wkJtLCJIKEj3JRx7hX6+jo5iRkO88sorRqCPB+NAMplJRwfxHnvsYZaVbcf+F+3CZXFCOtZdLr/88j6F4+EInQCM3WCutTdSRgghhMgYoSD8nzwPPwvTNaw1hbNcp7HNc7seUdguGW3cxBSgzGN0GKeI1bwJvg3vwbd1adw843a7FKvy9kdd+Z4IBUqRdpcxi/SVjHJEK18AoeJRsKunwa6YiMKyHiErqjZFfxzH0cKxFz7O50vLtkdN9VyEbLpIHSGQp0/MKnaFIorI3vNsFbYb2TCeoKnJwuhRNjZsdMTFkpJE15iWia5obJ4BeOrWBUIt6G6jnTVooivSKR77tywxOeK+qEiMbZEVpT2RFbmlc6SLRLMSOjpsbNnKyEHn2DBunDOYxIEkuo3z80dmu4lIJB4PAqeccgquvfZaZAt77703/vGPf2C4Uvjkj2G5wrEwsMJsYNH/0HHM0PRDindemEecLrzC13777Wcye+MxZswYIxZz6r4bzZAJ8Zju4nhQ2GNmMN2zFG3dKtMDhcK5y5FHHpnUe+hApnjsxo/EE49nzZqVVmd5vGxfurOZR0wxPLpIojugQKcO84qjnbVvvPFGeECDucDsO8MNtg3Fc0YmMf/Zm9fs3S/ZvxjhMXZsGpxUQgghRH/oOTf11a2AVfcJfC1bjQuXOb/GReyPETWRKnYIVt0K+FkEryl+rmo9xmNN4QFoKt3JcTAPmsu4yJg67MqpTpGwgrK0m3UoCvUlHLvw+YcfuhWXXnoj6PGgm5ATzSgYV1c59/tCU9NHLuwXkyba6O62TO4xi+dNKUwcX8GidG35k9CNfAS8CjJzjzuazf4ZSudshs2L4Nu6BFYoVmRFkTNwUz44BcqznUSzEs6/4CbsNPc0M+vAzTVmdA2LJCYeKBAjCYnHQogBE+36ZBGydMEiaS7MME4Gvs4Vj93idEMJC5glEup40cCoBOYNE4p/6RCPP/jgg/D/jz32WDjCIx506cb6v69c4sGEy8+4CWYbJzuF042m8OIW7yN0Kf9/9u4DPK67zhr/uTOjMqPebNmy3G3ZsRynJ6QTAgnFTogIkKUsS3k3tmEpCwssywKhvMALu0ts2eFPWSABHLCAOLSQRhJCenfiXuVuyeozI025/+f8rq406iNp1OzzeZ55RhqNZkbSSLpz7vee3+nk8ccfx/e///0evxvJfI8UHouIyIToaINv++/haT5mAh4GrPGiBSZgGvWUb7AOVssxc/K0HBlyoOSYdRaOBi5FODB39GF1klPGpmfVGv70dFIPIR4304TJeOH5LSgqWoeiQo8JjYcbDOnQ9DNTYaGFUw02IhHgYC3XdgGGmkew/UXmiIEWqxQF9sGuy6PsPTaL5h1xdrqkYCcKO5T5e+ip39l/ZQUXouROHH//66mczpI5KmHDhrX41rcrcM6KSjNtzNC4oEChsfSl8FimvPAbb0PGfV/orq0Qp7ai4vpxDY9ZjeJOerq1CamQGAyytzYZM2bMGDRYHI/weLh1MqzZGC1OL7uLw7nh8XBx4bjBDLSQXSpwoT8u9Dbc3r/Er9l1iqs8dCorO30mDdjb/KMf/WjYn9ff90hERGTMhRqQtm0LrLZ6p4802oF4SYUJdIYtEuwMiY85lRetJ2DZ3bVpA4naaaj1Xoi6nIsRzRj8CLbkp4ybgPbm7iljLnbHrlczZTwbsYJ5XVPGY4n9pZwiTAavt2B+CLm5KajnkDNK+Swe0WahuMiZPs7JsREIOP253IHRe5Le9ufB9vjQ4puFgkh3eOyJtMLionnsH+cimYHCUT82Th2bhTRbjve4/ITlDLzYGTlnbGVFMkclxGNRPPCXO/DWN1ebXmPW2Ij0R+GxTHmxxdcj0nwEnmNbYQXrEZ/edzXhM4nn+FbYPAywZGwnRPsLbNkxTPv27UvZ7SZOMSdbh5F4vTMpNOP08mgldlf3h1UbY4HPGdb9uMEx6zFWrVqF5cuXm50GnMpOvO/bbrsNf/zjH83b3GjtLfHnnsoalYnE/u/E4HjFihWmr3rp0qVmqphfZ3p6etfHV69ejRdeeGHA75GIiMhY4nShb/sfYHExqzpnKjA+7SxT5ZBUBUXwlBMSMzDmOad8hyGIPNSyzzjnfNg8dH1Mp4yLYBfOQ5w9rh7fsBav6i98G/pzbbCdqrk5E+npAXR0DL29y22p7OzRH+UmZx5OpM6c4Sye9+prW3HnTzfi+ef77891WLADBWhumQdEuiv10qJNiIU52GM71RWjDY/jMXM0Q7+VFR7+Lp65lRXDOSrh0Ue3YNq09RO6po1MfgqP5fRgeQBfBsANuWQ2SE9n/B7w+zHOWBXhhsevvvpqym43MfhLtg4j8XqpqIIY7QrY46V3SMoF45Kdgp5omzZt6gquL730Unz729+Gzzfwv6ihdgok/txTWaMyVpJ5jrkLLLrd+p/73OcGvf6ZtONEREQmF0/dLnh3P9AZHO8y2+nx4sWAt3snZw+cHGw9bgIlcxg6w+JYzzAoWQ2YZfqMW7OXJh3k9sH/y7EOWB2tpnaDU89GRvaop4zN4lWbN+KxR7cMEr4NHBhzVqAt6DzEjAwPLnndSjz6yN1D3u8NN9ygcEhGjMvObLr7N7jtKwP35372cxtwzTVVzgcCxWjLnId4mweezoZjCzasUAvQEXSqK6YvG9VPxGqqhRUJO3U4CZowA5F4GuDPNgtv2imYcJ5qhnNUQigUNK+XeldRiiRSeCwiKXHBBRd0TYJysbOXX3456Y7iZGsSuOhXMnj//X2+KzGUHGrSNlUTveMhJyfHTJ66C6fV1taaqdSpIHFhxP/zf/7PoMFx759xfwq5PHCvxfXGU6qfY7wNd4qYUwH//M//PORtJvv7IiIikkqeIy/Ae+Dv8LSdhHVqn6moiBctNB2oBlNPdpSaoNiZLLZCp0Z8UHkzStHgnYPWtHKEM2ehI614ZF2q8ZhTjdEZGFuxKGwewp0WALKnwWbVRteU8VzEc2YOO5weavGqHuHbgIExt3OAnGxnQbP3v38N/v54zaAVaNwu4RFJIiPF4aCv3jZ4fy6f23PmVJidIHF/IeJeP9pQjBx0r6kSbQ/D095ifv+H3kIenOfkTud3tdVZQ8Z1wqqAZdtmQU47l3WGZ14VQ0aG3+yYSiZA5tDN6XKkpowdzaWLSEpcc801PYLaX/7ylym53cWLF3e9zUA6GYnXq6ioGHQqtalp6EMg9+zZg4ky3MMYzzrrrK63n3zySUwVdXV1XW/Pnz9/yKB19+7dg16HK4O7nnvuuVE9tpGsiJ7q5xi7uyNcqQRcxKLAnIaqAZmIvm8RETmD2Ta8+x6Db//j8DQdhnVqr1kUL168qCs4Zk+x75W7kf7Sz+Hb+xC8J16DZxjBcQQZOGEtwu60a/FS9gfwdNEX8Oq0j+FI0So0556LjvSS5INjJrGRsOljthoOwOLh702HgUjI6THOnwW7aDHsvHLE82aZrubowjcgNu9KxPNmDzs4TmbxKn58165X0NJq4+hRG3v3AceOA5GoExjPnQPMLrcwrcTCjBkWFi4E3n5jJTZu3Djgjndezo8nbhuJDBcXtB5qjRY+h2s2bzRvc9rXtiy0+HpVRnDquKMFVrgZaB/FgE60A56GvWahvD6VFd6ZsNMyzRG5Z2JlhTtswiMakqGjEiQZmjweA9u3b8cnP/lJvPbaa12BCEO1WbNm4cILL8S1116LJUvGr4+WU3c8vPmVV17ByZMnTQDB4IEdmZwWvfrqq3H++eeP2+OR01NmZibe+c534v/7//4/8/7DDz+Mhx56yITKw8FD7fk75AaIfI66h+s/8cQTZiG0xKnS3urr63uEpvz83mbO5KIJDoaQrAwYLCB88MEHMVESO2yTWVTvsssuw4svvmje/u1vf4t/+Id/GLOe4lRK/P6Hw+EeX3dv99xzz5Dfi4suuqhrEUdOYPM5cckll4zosSU+lmSmiMfiOZbYQdbe3j7k7dXU1CT1OEVERFIiFoFv9wPw1O82Qayn9YQJbcxCVfx/ZdvwnHgV3v2PwbKT7+FvRREaPXPRkl6OUMYstKdPA6zuBYeHLR6FxX5gVlF0tMKKx2Dzf6yZLi5FPD3LBE625YGdVQI7exqiWSVot73IyAiMqvYhmcWr+PGf/fQOvP8D6/tMGDMb5pwGT7wscTugqqrKDEwwJOZ2ErenuSOboRAnjhUcy2j7c7ds2ZJ0f+6nP7MOHo8PdmY+WtLmAFHn6DlKizQizuCY27fsPc5YNKLHxOCY1TYeHt3Qp7LCBwRyYPvSYWeNcpHMKYxVODyiYbC/OzoqQZKl8HgMbNu2zZx6T8qxD5YBxrp163DllVfiP/7jPzBnzhyMNd6v20Xr4gbF4cOH8fzzz5uw79xzz8UXvvAFszjVaI1kSi+lzryjUibNz+J973sfHnnkEezYscO8/5WvfMUEb1dccUVSn8/pyy996Uu47rrrsGDBAnMZAz8GcdwJwjqG//mf/8FXv/rVfj+fgdp//dd/dU1ococNQ8Te34d58+aZDWr+HnAHz9NPPz1gsPi3v/0Njz/+eNf7vK3+vq+Jlw10nZF8Tl5eXtfbfKxD/c246aab8LOf/QwtLS04ceIE/t//+3/mb00yj4eTqqy+YOg62q9tuJ9XVlbWNX372GOP4W1ve1u/1zt48GCPReMGuu1p06bhjW98I/785z+b97/1rW+ZzysqKsJw5ebmmheL3HDmzgsGyL2ne3p/ral+jnEHJHvI2trazP8TVlgMtNPvpZdeMjsOej++VD1v5fTT+3kgMlVM5udustsBk+1xj0gkBN/2P8JqOmTCY1ZSxAvnwc4ucT4ei8C796/wdi6aN5AYfGiwytHkm4Mgw+LMmYj5ckf32NzpYre7OBo2LxVsrpXiz4Odng2b66VYlvN29nTY2aWws4qwZ992/PqH/92zm/jKVbh5iG7i0S5e9fzzW/DF/1yHjAzvoIFxb3wdx+nQ9evXm/5SHoauBbAkFTjYkexaGvxd6egIw+/PAgJFaM5cCCQsP+JBFHZ7s/ld5EKYdkn3UabDwb8nnF622rqPXqTjniWdlRU5sHNmwpqAtYAmi4ULl+Nzn9uIb35zdb8BsntUQioyoKliMm83THYKjyfIo48+avYQf+c73zGTvxONQcQtt9xigrubb755VLfVX8fsWIv5/bA5Hdjug5WZiTOZza3M9HRYfj+8E/CzqK6uxrve9S4zAcwJyX/7t3/DypUrTUerGwj3eLy2babiOV3MPdrcuGZ4nBiafuYznzHT/PSXv/zFfOzzn/98j1J/Bmpf//rXe0xw8r4HmlJ+85vf3DWd+c1vfhM//OEPsZDH/iU8Lk5ufPnLX+7RI8yN8P6e44mdtQNdp7fEDXoGlP19Dmso3BoOhqpveMMbBr1N3sa///u/m+8P/f73vzePjd+Lgb7/nFS+99578Zvf/MaEmL0XS+BUeeLbyf6OD+d7wq/LDY9vv/12E5L33unAyXN+He40jbsRy7f7u20eccEddgzFjx49arqU+fPsb2dGc3Mz/vSnP+HAgQPmPnqbO3cu9u7da4JjBsFvectbBvxa3Oduqp9j/F/xhz/8wbzN5zp3pPTuFWfv+Be/+EXzOBO/R1w4sb/bTJyqHuj7KGeWxL+9IlPJpHvu5g4devJ/v0kFpzA71Ij49j/CDh8HGncDsRBQVgkr4NQr2W31sF+9F2ir7/O5YeSiwTcfbelzEPbPRod/Jmyr++Upd2WPZMbYZkjCw+E7T7YdM9PKVkYWkDvNLHpneX2AJw1WzjQgpxTInQEro3uR4fvu24SvfPmDfbuJ/7IJDz24GV/68o9x3XXvHvRxRKM2OM/Q0WGjpaUt6cWr2tuDmDM7HWWzspGbc5rsYJApjX+rErcrB8OdLEVFJWZ71i4ph916EKGGPPiRUOPWHkYGOmBFG0f0etVub0U8fBLxpgNAr8oK7njywA9fIBvWjIWwpsji4WNl1Q3/iPLZK3DXnbfj2Wd/Y/4O8WfJzIevr1esWIEz1aTbbpjkFB6nEGsgGIBceuml5rAhTrjxhTmDC04iP/DAA2YazA0IOBn4L//yL7jzzjvH5JeWIQArAxiU8PHw8TH4YUiya9cu/PWvf8WvfvWrroCH05r/+Z//aT6PE3siI1FeXm6eVzxEbufOnSYMZkDGE6dL+VxkbQovZ40KKyoS+26pd3jJoI4Lqrn1Fb/+9a9NSHbxxRejuLi4q6qCU5muf/zHfzQh9EDWrFljwkJuBDFYvPHGG02tDB+/O9nJaWdO4XKCmtO7E4Ffw6ZNm7p6pFmHw0A5cVED7viZPXt2j+ljVjVw+oT4u86J8EWLFpkOaX5/OZHCBdX4t4l/EybaBz7wAWzevNlM9rIj+MMf/jCWLVtmAm++aOLXzb9bdPnll5u/r3xODWbGjBkmYOXPmj9nHoHB2+XzkHvYucHAy/fv32+eh/wbOFA4/6Y3vQl33HGHeZvh8u9+9zvzPU9LS+u6zmc/+9kxfY7x9rhzhNMfPHKENTHnnHOOmXLm/xXuBHCPMuHH+HUx6BYRERkLdvMxxF/+jRMQH3sNFkPaGcu6Qlj7+HbYO/5iJo9725v2BjRMe2P3InqjeRyslIoEgXZWUbTBjobN5RYnirMKnceT5ndCWH8+rJwZQG4pkFUMq5/737nzpT7BcSJezo/Pm7cU8+efDb60i0Rsc94RsRHpPOf6ey7Lk2FqLxgMD4XBzpIl2ZoalkmDQfA73vEOc3TjUN7whqru525nZUSrrwz+aHd4HGsPw8fqipYTsKPtsHgkwDCYvy38BavvuWZIkzUT0ZgPVlYu4E0HcqYP63ZPV9OmL8fHPv4DzC7/IebM7sD06Vn6+yLDpvA4RTgFxlCgv4UKSkpKzIlVFR/60Ifw0Y9+1IRqxMlM7vHhodWDdXwO18c+9jETSPfXdcpJTIZuPPHx8P7dgIGBHqf12BM71IJMA5mIRZp8oRA8HR2wuEG2d+osEjYmYh2wMzoQD4UQnaAFszjl+P3vf9+EnTxxRwkx8OJpIAw3P/7xj5udFwwQOZnp4o4W3u7//u//mqCMQTE7lXvjc/6DH/ygCSMHey7ytr7xjW+Y5zvDOAaHf//733tchyErpzgTF93j70h/t5sYwA50nd54vcTP7+9zGBRff/31XfULrCTgKRF/X830UgKG5wxJGZ4ypOf3kn933L89/WFYy++rW/vh4vcn8e1kf8eH8z1hgPrtb38bn/70p7uux1WdeUp01VVXmZ1crCdxMZwd6LaXLl1qnou33XZbV/g82POQYXB/t8W98/fdd59ZiI7fH4bxvbnhsfvcTfVzjDtK+HXw6+ft8T4YQPOUiCE1/wfwd8nFsLq/23R3Zg71fZTTGwMVd/qi999ekclsMj93Pc3NyE3i/2R8iv7dtRr2w7fzz7CCDfDU7YTt8ZkF5WD7gGAbvAceh/fYK30+r8POxGuBdyKUWwFEma4mt5ZAD9x+igRhMTBmf7FbRcEF7NJ4qPx02Ka72Gumi+PZ04Hsac45A2VXMOFY+gQ/+9l3k+om3lD9XfzjB6q7LuPLQO5TTkvn9KXzdjrfT2P4ZuHKq1aZyeWhsKd4MuzYF0nEAYxf/OIXg6474vX6cMONH+lx9KEXaWj2laMk+lrXZZ6OBkRa6hHPmYXooR2w87uHYJLh2/csPA1H4Ws92aOx8ri1BLFoBHGvH/H0QsTb+v8dP5PE4zZOngQKC7jdb5m/TWfy35fJvN2Qaqk+olThcYq87nWvS+p6PBT7Jz/5idlzx4kzYojBScr3vOc9qXo4puc1GQwj2HnMRbU42Uf8Y/+DH/yg30O3kzFRv4B2Rg5whq6m2u/3YgJ/FsTJWIa4nIBkFQJ3UHC6k+EU/2ExpGPgyd8JhpbcucKgz/0jx8fe+/H/0z/9kwlSWW/x1FNPmd8hBtPs6WUvMjtlV61ahdLS0qS+dl7/7rvvNhPNvD1O4nJPOT+f062c4OXb7u/qQI/LvXyo64z0c1gnw4XwGCAzAOU/Ou54GupzOUXLIw/uv/9+8/Xxd5zff04d8ygE7tRiHQOnV3nEhDu93Pu2RvK1jeTzuJgLN0r5M2EPsBvw8u8Uw1X+7N3KieHcNndKcFKCgS8rg1iTwglnBrAMb/ncYUjPnzmfE/3dFq/34x//2FR78LFxqpfPvf42oBMfTyqfY8TfE36PeOLvFG+PwTu/R6yweOtb32o67JP9Ho30ZyunLz0PZKqabM/dZLcDUvWYrVN7YQVPma5eO2sawPB0jHiOv2o6jBE8BevUHthpAcSLFwMMb8PN8O28D562E30+rwFl2Jl/C+IZBYA9zLA42isstgGb1RNc6M6fjzgfg+VDOBpFek4JPLmlJiy2A6wvS4iXhvh+cwfuo49sSbqb+DP/djsyMz0mOGZATBxwZmDMGZ6uU7qNz3x6NR5+aPOg4Zu7eNVkei6LuNvp7Mfl87O/5zCD489+bgPmz1/Wc/vSX4jm9AXsqenii4cQCzeZoxKspiOI55Un/03m3x2Gxlycs1dlRbNnJmykA94MxHNn6vfIDIfY5k9oIADkmIjA0vdlkm43THaWre/WhGBv5ac+9akek4PuIfkTgYc7s6c28XBvHuo+Eg0NDRhvvpd/5WxQShduyEfPfueU2xPohscMOfXnSaYKPXdlKtPzV6aqyfzc9WzbhrzLLhv0Ok2PP4740qWju6N4FN59j8F7/FXztglwuR2YHoCdVWJO8exp5hzpZsW1kd+XbcNb+zS8h56B1XocVuMBwF+AeOEC9jKY932774cV7d7B7drvuRhHC94MeNOSDItDsCKsoQg5bzMsZsUEQ3F+bZwg9jpHWO48eQq//usDePTpxxBu5w7yAK64YiXekeTCduwmDoWBcIjPozasvjX5Bc0fefQg8vOzkJHeHRTzYFI3SO6NayEMFL65i1dxXRyRyWrr1q3mefq7392DUCiI9PSAmaq/+ebV/f6+eRr2w3v4OVxw8utIS0iQo3nzEZ97MeKlZyO67Mak79978Elz8r32O3haj3dd3oQZ2Oa5ziyEGc+ZiWjFm7v+Hp7JTpyw0RYE5s3lgt5AQf6Z3aE+mbcbUm2kTQID0W/TBGGPKQ9pdg/pYHjrroo7ETh5yIWcdu/ebd5nPycn6ziVOBVMtZBURERERGRUzJTvn+FpOWZqJDxtdbB96WYal7UNdvMR87aX3Z9msCCzK1B2Q2Vk5CYXKMdj8O59GN4T22A11cLDvuOcUthmYpCh8lPwHH62xyHkFLXTsC3z7WjNWzFEWBzuDIuDvcLiAJBZinh6d1jMI+zM488qxoNPP4Zvffvf+y5sd//deOihGjMJec01PcNYLmDHRi43MO7oHF7ktHB2tn9Y3cTLzgoMGBT3h8Ewj6Zi+Ma1G9xFgFlVwVCZ050ikxmfo1xX5atf+yl27WrBvn1xzJljISOj/9+DeKAIXsuDFqsUhfb+rsujHR3wtrfCaj1m/r4k1X9u2/DU7YDVVm+OtEh03LMUVjyGeHoubHYdKzg2wSiD4+ws7tACcp2Dk0VGROHxBOGeZS7Y9MQTT5j3uff5xIkT5hD+icIA2Q2PiYdRT5XwWERERETkTGE1HoRv119ghRrhqd9twtd43iwTwjCEtVqOw8NJZOYtnPZlmMxQufmoE8i6Qawvo1egXAJk5vcMlKMd8O38EzwNB2Cd2gcrVI94/mzYOaWme9i36354mp0FWxO1oATbcm9BzN/PolWREKwOZ4E7p4bC7gyL/UDmdFNDAV9iWFwEO+AExvBlmsv37NmKb33744MubPetb67BjBmLMWNGpRMWh/m6y/k4p4V5KHcR7zKTr8/4NXtxzTUr8ac/3T3kz4CBb9fCYCMI3+666y4zPMQqMrOYn8gUkpHuQU4OF3ZsRSw2yPRmRrb5G9SSVo7Cju7w2NPRAqu9BVYsCos7vpJY3M5qOQor3AKrYU/fygpvGWyLJeOZsHNmju6LO02w5ZB/77KzncoKr1d/Z2TkFB5PoKKioj51DxMZHvf3eEREREREZJLg5N3h58ykrxVqgKd+j5mwi5cs7eo5NjEOD8WNdQAMkjuCJqi12k7A0+wGys7icqbeouWo0x3cGcoy6OkOlIvgOfqymW721O8C2tsQL1wIBApNkOPbdZ8TAvdyyFqB2oIbugLgLgy3WXkRbobN4JX3m12COBe649Q0+zgZdLthdkJY3NvmX29IamG7n//8DnzgA+uRkQnkZHNdDicsZpDCzDYryzlld55//vNrcf/9NUl1E48Gg2euqcAFdU/nQ6fl9ORLc9akJLP25YAs2IFiNLfMBzoe67o0PdaEaHszYMdgtRxJKjzm1DGi7fA091z4uhEzEI15gcwc2JbHHBUhQFub8zPi37zONeJERkzh8QTinuZEGSzJmkCT7fGIiIiIiEinaDt8ux+Ah4vjNR+BxQAlMx/xwvl9D9FmKsrglpPF/sKEQDnSHSjzPFgPD6eR0d0pzAlltBwzwbIJbmMd8JzcaT43XlJhupM9R1+E9+ATsOx4j7uN2x5sT38bmvIv6luHwftsOYJ4PIb2zEKkZxfB4/E6YXGgGHZ2MeKBEoB9xkPgwnaPPXZvUk+NF57fgi9/+Xb4fF4TpJiFo7K7Q+PetRNDLQzmdhOrYkLOZJzU5++O5eFOmsGvaweK0JY5F/FWLzzovjKniHn0gaflKOJwFnweUDwGT91uM6XMHWeJTniXworFEOdRCtmqrHC1tgFZAfOdRl7uyH7OIi6FxxOotra2x/uFhVwNeOJMtscjIiIiIiIwgYlvx5+csPfUXiDcCDt3FuycGckvgmcC5XRzsv0FTqBMnFA2YXLnhHKoAVbLse5AmTjdPG2pWRjPt+vPzmPoJWjnYVvOLegIsAc5gW3DajuJ3fu24+5nXsQjr21HuKMDmRmZuOLyt+Ed7/oYFpQl1/XLCd2ODuDUqaDpNk4G+4tLSsKYPi3LTOAlUxGhbmKRwbEjnLhDZogDAGBnFcL2pKPVKkGu7fxtoUi4HV5WV3AHFnduDfK7yQU5uRin1bAXFneCJWj2zGLzulNZkVemH11ntzv/VhYVOjvJ0tJUWSGjo/B4gnBBul27dvWojJg2bdqETh0/88wzPfaoL1q0aMIej4iIiIiIwEz9evc+BCvcZCbvOIEXL17sdBOnAhfU8zNQzk8IlDmh7ITJsOOws6eZqgkGx3wcvR1HBfYVVsFm/USiSLuZNn7gpRfx9Xv+hBgXx+sUbg/j/gc346G//q7fhe1c7e02eIBkMOQscBeLM2fyIz09gA4usDcELkg3Z/bwFrYjThZXV1dj3bp1XQubj6TjWOR05HSEd4bHPQ9A6MPOzDd1Ei3eWciNdofHZocVw+MIf7kbAX/BgLfhPbmjc0q5+/O7KiviXoBTx5YX8WxVVriVFczieaSFKiskFRQeTxAukpDYbXXZZZdN6EIJP/3pT9Ha2tr1/ooVK5DDVnURERERERl/8Ri8Bx6H9+jLsIJ1sBr2mxoJUx0xQA9wynCRPW8e7EynKNNzYhu8+x6BZfc9Pn2n702oy78CVmKwymljHlredgK76xr6BMf9LWw3Z04FFiyoNBNzbljMcx4Sz1dJmX4gP9/tLPbgqqtW4v77x25hu97dxCLSd/LYl8TkMSyvOdqhJW0uEH22+zYiDYi3t5imdk/zEcQHCo/NxPF+p7Ii3Luy4iyz6J5TWVHi/O0SU1nB4Jg7zfLVdywpoF2no9TR0YG9e/setjWYmpoa/OpXv+p6n6Hx+9///gGvf+jQIVRUVHSdrrnmmkFvf8eOHcN6PH/729+wfv36Hpd94AMfGNZtiIiIiIhIinS0wffa7+A98qIJTTz1e013sVkYb6yD40TxKLx7HoKPk8+9guN2OwvP+z+I+sKregbHsQisploTHMNfiLuffW3A4LjrU2JR3HXXRuzbb+PAQeDkSYB1w7m5QFkZMH8+MKvMQkmJhRmlFmaXW/jMZ9aYoyUHk4qF7USkr7TOXz0zeTxE57ERKEKzf6Fpp3Cx/9jpPWYfutO93h9P/W5Y8agTIPeprChz6nXS/LBzVVlBsZiNcNipq+DioJmZqqyQ0dPk8SiFw2G87W1vw/XXX4+bbroJl1xyyYAbMSdPnjQTx7/4xS96XH7jjTdi+fLlSJX3vve9OPfcc3HzzTfjyiuvHHDhu+bmZvzkJz/B97///R6LQVx00UV405velLLHIyIiIiIiyeFCeL6d98EKNcJTv8sEK/GCubCzSvp2gnIRqaMvwXNqt+kDZSexzetwFas+p4TLkdz17FP7EW6uhz8N8CTcdz3mYHf+uxHP6LkKE6st0HrM+dz82Yh7M/HIyy8k9XU/9eQWrF59O7KyPCbw8HotE0xlZzsnLnKX2FlcUrJcC9uJTBD+HjL28PqAWGjo68ezChHz5SBkFSCA7unhWDvrcVrMwp0DZdCeup1AuBke7pDqU1nhAzICphYjnqPKCreygrKzVFkhqaPwOAVisRj+8Ic/mFN2djaWLl2K+fPnIy8vD2lpaSak3b59O1588UVEIj33lF1wwQW47bbbkEqsw3jkkUfMid1cnFZeuHAh8vPzkZmZiZaWFuzevRvPP/+86e9KNG/ePNPrJSIiIiIi48i24Tn6IrwH/u70G9fvNiGsWaguPbvv9UOn4Nv9ADxtJ3tcnIoZs5eOR/C9J4P4zfYwghEgkAbctCQTH78kgJwZ1+BY4bWwPAkvJeMxWK3HzBShnZkLO3s6omk5aMhZarqNk8H+4ry8MIqLs8D2PIbFPOx6sGo/LWwnMnFMeJxMbQX/vPmLzHmLdyYCse7wON7BRfNanS51dqyn96qIMQvqHTGLblrsRe5TWRExO7HsrGLA2//Q3JlYWcEdbdwBp8oKSRWFxynG3mAuPJe4+NxAbrnlFnzuc59Deno6xgrDYYbWPA3luuuuM0E2Q2YRERERERknsQ5TD+Gt220O3za1Dxm5iBcu6NvhyZD52MvwHnyi3w7i0dq0NYQPbmlGNKFpggHyXa+E8ctXO/Dv7yvAtcUJLyM72hBtPIH2qBft6YsQjuUjFJ5p3o63eZJe2M7vD+DCC/xdC3ElSwvbiUyMtDTLdB7HbSAetwdflNKbbkLe5rS5mB57tfs2Ohpht7eYxTr5t88uWtjj0zx1u5zKiqZaWLGOHh9r9s5yajDSA7BzZqb+C5yC+HMIBoHCQqeXmjvgRFJB4fEocZL31ltvxVNPPYVXX33VdCAPtdrvtddeazqOU1lVkeif//mf8dhjj+GVV15BkH85BsHg+oorrsD73vc+vO51rxuTxyMiIiIiIgMINSBtxx9htdbB07AXVrAB8dwZsHNn9a2p6GiFb89D8DBcHgOcOO4dHCdid/E37vwxSvLmYGbJfHQ0N6O9NY6odzaQVQwrno600vnwF05HfgbA9rxkF7a78cYb4GMSNUJa2E5k/HuPOXlM7D0ecl3KrEK0NC8AEg5G8NphxFh3Ew071RV9wuMdToVPW13/lRXpfqeyIlfhMTH+YaBuKityBz9yQ2Q4FB6PEsPXT37yk+Zt9gbv27cPBw8exLFjx9DW1mYuy8nJQW5uLhYtWmQqJLzuX9gkzZo1a1iL4H3kIx8xp3g8jgMHDpgTHw/rKlibwQCblRqsqDjrrLPGdPJZRERERET6Z9XvgW/Pg7BCrKnYZRabixUvAvwF/Vx3N3x7/wor1t7nY00oRW3gGlgeC5Ydh4U40HnO92HOY13v93s54vjG088gGj816I8rFo/hlw/ej1vfUIUMK4j84hyk52QiPS8d1pxzgLSACZTYW8xDpz/60TV4+OGaHmus9KaF7USmHh4lkBgec9J1MHagGO3pJWhHABnoHnKLt7fB6mjts2ie1VYHT1u9Oe9bWbEMVrQD8ewSpxJjPBcSneR9x4x30tMt5OVN9KOR04nC41R+M30+ExDzNBlw7zsDYp5ERERERGTy8B59EVZDPaxgPayGfaavMz5tGZDWKwSJtsO7/1F4uWhUP/Z4r8KJgtcDniGSmyFw8ORP236f1HVf2Pl3zHnHZbDyyuDzZyBjzkJklFcgELBMYMyJY3fibXa5FrYTOR0xLE4Mj4cS9xfCa3nQ6pmBjPierstj7R3wstuY/e2spvCmd00dIx4Bmg8NUFlhA2nZsHNnpPgrm5r4/WB4nJvn/FzYHS+SKgqPRURERERExpnn+GtAXjs8LccQDxTBLpgLeHoeoWg1HzaL4nEqr7egnY/t2TejPWvuqB8LM5iGNiA8RAWfKxyJoGx+BgpneuBZehXsgLMY1kC0sJ3I6btgXrLhsekm9mWi2TcbRR3d4bE30gyL4bFtw2o5Dju/3Ol2Z99x8BQ8oe4F9roqK2xWVpi9VKqs6BQO88gQp7KCwfGgHdQiw6TwWEREREREZJx5GvbB9noRz58NO3t6z37jeAze2ifh4XRyP59ba52Hw4Vvge3zj+oxRKIeNIcy0RTKQEfEQnoaz/vWYvQWyEhDceU5sOe8DrYnuZeUWthO5PRbMI9HGHg8NqJJrd1pwc4qQkvLPKDj4e7bibUg2t4CxKPwtBxFLL/c7Diz2lvNNLLVKzw+4auEFWlHPFCMOCt+0rQqHLW2wSxgyMqgfFVWSIopPBYRERERERlv0XbES84DMnoeW8waC+/u++EJ1vf5lA7bj+2Zb0db7lk9wmZWTrRHIshISzPVdYOJx4HWcAaaQpkItafBsmzk+tsxIz+M1597Hu57+okhH/oNb3sz7HlXYCS0sJ3I6TN5TJw+Tmry2PQeF6EtYw5iLT54kdCDHm4FOH3ccsS86zm5wyyix0nkPpUVnlmwPTEgPQt2blnqvqApjpUVWVlOZVBu7kQ/GjndKDwWEREREREZZ/GihT2DYx6mffRFM3HsLGbX03Esxv78tyOe0Z0K7D5ci189/Bc88uJzpnIiMz0dV51zPt75+jdhYVl5j88PdfjQFMxESzgDdtyCP70DpXmNyE5rg9duR25aM/71TXPw4HNPIhqzB1/c7uOfTtW3QUSm8OSxGyLHkw2Pubidx4cWazry7cNdl0c7OuDtYHh83PQee07tcfrgey2U14iZnZUVmYDlUWVFp/Z2G5EIkFXs1FZwMUORVFJ4LCIiIiIiMt4SF7hrb4Fvz4PwNHeHKa6Y7cOO9LegMe9CWAlTxQ889xS+ceePEUtIbRggc3L4gWefxr+/74O4+uyL0NzmM6eOCJCGFhSmH0FuehPSEUJmexjF3kYUBZqRlmZj8bwM/PAjl+HDP3i83wCZwfHGjRtNBYWInNm6Jo89SLK2guFxnqm6afHNQn6k++8de91NTUUsAu+hZ2FFO2C11fVTWbEMViQM2z8T8cw8M30sztQx/z0EAkCeKitkDCg8FhERERERmQicNq7fCe++R/scmk0NKMOuvJsRyyzp0X3MiePewXEiXv6NO38E700FmF0yE9npIUzPbEMgMw6vz4v83HYU53YgK9sDeGcAvrmId3YXv+NtlVi8/Fys3/I0fvfICwiGOxDw+3HDjTdi9erVCo5FpCs8ZnuO1wdEwsl+UyzYgUKn9zjyVNel6ZFGxMLNgB03R2CAYTLD41jPDvZmbznsWAR2ejbs3Jn6SSSExwyOWVmh8FjGgsJjERERERGR8RZrh3f3X+Ct393nQ7ZtYY/vapwouBpWPwvSsapioOC46+bjcTy6+1H8x8X/AG9aAXICuSjMCaIgKwyPN91UZsQzc2FnOCe4b2fmYsnr/Fh/i4Xb43GEQiH4/f4hu5RF5MzCoJIB8nA6j93e45aMBbDbLEbJzm0hbqaPTWickesEx/1VVsRZWZFhxmzj6js2IlEb4XagNB8I+IGMDFVWSOopPBYRERERERlnaTv/BORH+lzeZhdie/bN6Mia3WPaOHFxPHYcJ+Pvr72A6RX/huJSPzJyc0w4HDOnbNMXOhQtbicig2F47BtueOwvRNwXQBsKkY3uhUGj4XZ42lthZ+R09h33raxANATklJrr9F5s9EwVbGP47kwe56qyQsaIdh+LiJzGfv/73+OSSy4xp9tuu23Ut/eDH/yg6/b4toiIiIxQJNTnogPWhXi56KMmOB5Ie0eH6TZORrijHbnnXoi0hRcjPu0s2HmzzIRxMsGxiMhQ3Mlj22aAPPBCm4lYW2FbFlq8ZT0/0BGC1dEChJtghRphRXtVVvicv4t2eg5sTR13aW0D/H7+HCzkKzyWMaLJYxEZM62trXjiiSfw9NNPY/v27WhsbDSntLQ05OTkYPbs2TjrrLNw+eWXY/ny5fpJiIiIyBmp3Q5gm/8mhHKXDnq9UFsEDSeCSPeloyM6dIAcCARM5YSIyFiFxx6v8zanjxkkD8njg52Zj5b0uZgRern7tiINsMMtsCwvrPbm/isr0tLMHcZzZ6T6S5mSGNiHQkBxEZCezr/5qqyQsaHwWE4L23fYiEYn+lFMvn/kSyom5p9HOBzGpk2b8Itf/ALNzT3/8VMkEkEwGMTx48fxzDPP4Kc//akJkj/84Q/jne98p+nPEpHk3XjjjTh27Jh5+ze/+Q1mztQCIiIio3HkqI3GRmDRQmYVY7tdcgxLsL/gRjNN15+4DbQG09BUHzbhcXp6AJdVXoCHX/z7kLd9ww03qKtYRMZMWmdtBQ2nugJcNC9jAZBwAIbX7kCMvcd2DFboVN/KikjQqaxIz4KdqRFbCgadqe+sLGihPBlTCo/ltMDguKnJ2esmzmEreXkTE8AywPr0pz+N3bt7Lv5SWlqKBQsWoKCgwHT11dfXY9euXTh1ytkwOHjwIP7zP//ThM0f+chH9GMUERGRcWfbNl5+BXj2Odu8II9ELKw4e2zuK2b7sCP9RjTmng+rn8XoojELTUE/GpuBWGsjsrytKCtNRyDfj/cXvB2PvfI0orGBpyd8Ph9Wr149Ng9eRCShtmK44XE8UISO9GKEkY1MtHZdHvMG4Enzw4qGe1y/OW2OWWTUTs/urKzQsBG1BYGMdGcnZ57ydBlDCo/ltMHguP6U8w/sTA/SiwonZs/jkSNHTPDLYJg4QfzGN74RH/jABzB//vx+X6Bt27YNv/71r3HfffeZUJlTyzJ58eercF9ERE5H3C556mng1ddsHD0G5OYALS1jd38f/1shLl5ZioX5PYPjcIcPDW2ZaAmmw9PegFzrGAqKokgrKIY/y4eipQtRuWQ5Npblm3A42s/hdwyON27ciMrKyrH7AkTkjOdLG1l4bAeKzHmLZyYy4zu7Lo+HWuGNh/tWVsRYWeExlRfxXB1hZ76Hto22NqAg3/kZ5GSf8U9HGUNneMwmpxsGx/Pmntl7IfftT26hglRjFcUXvvCFruA4IyPDLNB21VVXDfg5DJfZefylL30J733ve83ksYiIiMhE9Eb+7XFg9x4btbVAXb0THo+lv722DT/a/jX8+/s+iGvOuxitoQw0BjMR7kiDz25DSXw78rKb4M0pQl5xLkrKMpFZeZU53JuqqqpQUVFhQuJ77rnHVIKx45hVFQyVFRyLyFhzKisseL328GorfJmmfqIlbTZK2rvDY2/rYXjaeu4QO+FbDkTagOzpsNP8sP35qfsCpvjwXDzuVFbkch1UVT/KGFJ4LCIpceedd5opYtcXv/jFQYPj3lhp8aMf/chML4uIiIiMl0jExsN/BQ7W2th/AKbreLzE4jF8484fw5u2BGXFC+BPb0dZ+m5kx47B509H0cxCFBXF4VtwFuIzVgBWzyllBsTV1dVYt24dQqGQWRzP008FhojIWOD6dW6IPKzwuHP6uJm9x+0PdN9etO96OQyYEQvDzsiBbaaOz+xhMVdrmzM8l5FhIV+VFTLGFB6LyKixaoLVE66rr74a11577bBvhy94zj///H4/1trair///e94/vnnsXPnThw+fBhtbW1IT09HYWGhmWBmWP36179+yBdNP/jBD0xQTR/60IeGrGF47rnnsHbtWvP2ueeeayZ8BvLaa6/hj3/8I15++WUcPXrUTAFlZWUhLy/P9D3zcV5yySU455xzkJmZ2e9tsAfa/VrZHc0eaX6t/P4UFRWZF4qsA+HtjLdkvne///3v8bWvfc28/Za3vMVMlMdiMVNN8qc//Qn79+9HQ0MD8vPzcd555+H9738/Fi5c2OM2+PX+4Q9/wP33349Dhw6Z7+O0adNw+eWX4x//8R/N5w4m8Xvz5JNPmvPt27fjt7/9LV544QWcPHnSHNJbVlZmnjc333wzsrOHPtZrsOdhcXExzj77bFx66aXmd2C4L97ZAf6Xv/zFPN/4M2f/d1paGkpKSrBo0SJcfPHFuOaaa7oeJ3e03HTTTX1up7/LiOHCQL9fIiJnqvZ2G/c/ABw9ZmPvPv6dB2bMAI4eHd8A+eHn7sEX3vkuZIZrEfAFUTLbj4JpGUB+EaILXo+4v2DQ2+D/HG5viIiMJ7cykrUJ0RGEx6GMMkSRDh86+r0OKysica7K5++srGDfsRArK7KzOHEM5IzxkTIiCo9FZNQefvhhEwa6brnllpTfPqstOjr6blSw54/BIgNGBm+LFy/GN7/5TcycOb5dWHwc3/nOd/C73/2uz8cYAvJUW1trQuVNmzaZHuhbb721z3Xvvvtu3H777SZs7S+45OnAgQMmWL3gggvw9a9/3QTTkxnDcFaaMLRNVFdXZ35m/Pl+61vfMqErbd26FZ///OdNwJuI379f/vKX5nM2bNiAOXPmJP0YGHjzxF7tRAyUeaqpqcFXv/pVs3NgpM9DLvrIE8Pz4TwPW1pazNf/4IMPmu6ygW6XH7/jjjvMzgkRERm9tjYbf/4L/x/Z2LOXQTKwcIGzcn1jE/9/j993+amtT6D0pgpML40ja0Yp7IxsxGa/DvHS5U4yICIyycPj4U4ec9E8r+VFi1WKAvtgv9cxlRUdbUBWMWxWXXTW9pzpwmHbrHWUle0Exz6f/k/I2FJ4LCKj9uyzz3a9XVpaihUrVqT0u8pg2g3sOH06b948M4HLXmUeoslJ1h07dpjgjdOgDGVZozGeoSoPF00MjjktyiljTsjycTU1NZnHyeB3MAxU3eCYU7Fz5841t8HJVgbHe/bswd69e7u+7x/72Mfwwx/+0Hx8MuLX8rnPfc6E5py05qQxvzf8mT7zzDPm58e+bIbFP//5z83b//Iv/2J2CHCinBPaOTk5ZsKX074Mf9mr/dnPfhZ33XWXmR4eCgN5TkzTrFmzzM+F3y9+Hzkp7n7fP/WpT2H9+vVYtmzZiJ6HDLd5e8N5HjIg/+hHP9rjecGvlxPMvG2Gx5xCZsDN70licM0Js3e84x3mbQbK/Lg77c3Oy974fRcREUdjo4377ucOTht79jgTczwIprkJeOivfGEex969IRQW+nH5ZWP/kikciaB0tgeBonLE82aZaWNkTu6dwyIiXq8Fj8c24XF7/8PDA8vIhu1LR4uvHAWR/sPjlrQ5sKIhxDNyYefOUGVFp7YgjzgBAn6oskLGhcJjERm1l156qevtgYK30WDotWbNGlNJUV5e3u91eAj/t7/9bVNRcOLECRMCctp1PDQ2NmLz5s3mba/Xi3//9383AV5/ixYwpHzooYcGrKyYPXs2/vVf/9VUKTCgHKje4Bvf+IbpmGZIyRD1gx/8ICYjfq0MhPmzY4icGKQyOP34xz9uQtz29nb8+Mc/Nm8ziGXwykUUE8NhBtCf+MQnTEjKIJ41GG9961uHfAx8LjDg5f2/+c1v7vExTjn/x3/8hwloeb9c5PFnP/uZuf5wnof8WTPkZ4DM20vmechgmB9zg2PeJ3cG3HjjjX1CcX4PeZucanbxe/npT3/avP23v/2tKzz+8Ic/PO6T9yIiUwknjRkcM0DevccZ7F20EKa24tFHt6Lu5EY0N94L2w7iS18MYOvLq8zf/7FcgC6QkYaMkjmIzr0c8enLNG0sIlMGN1tHMnnM7mLbz97jeUDk8T4fbUQZIrYPSMsEvGmqrEjQ1uoslMfvIRfLExlrWk1BREaN3b4uTmOm2hVXXGF6cQcKjolhGWsj3O5cVhuwKmI8MIB0p4XZ9cxAc6DVbtmL+853vhOrVq3q9+MrV640/bsDBcfE/ltOOnMylX7zm9/0W3MxGTD0HKheg2Esg3YXp2c5YcseZdZ69A5QOY3LvmMX+5CTfQwMdHsHx8QggDUhbpjPIPfee+8d8fOQH/vud7+b1POQ1SMMxN2dDt/73vfMJHF/09TsPub9s95CRERG7vARG3/8M1Bfb2PnLif0mD8PePpZ4C/31WDPzmvR1HC3CY4pFguauil2zrPiaKzceM1FiJ37HsRLKxUci8iUDY97V7Al03vcljkf8X6iqRO+SqCjFeBCeb502FnFKXzUU3uRV055s++YBxump6uyQsaewmMRGRUuFpYYXPKQ+4nC0O26664zb3OSNXEieqy/By4uijceuGgap5PdaeZ9+/ZhsuJ08UCLxzG8ZdWJi4E4A9qBcKFAFyevk8Ee48TP62/a+93vfnfX+1u2bMF4PA9/8YtfdL39D//wD6aiQ0RExs7efc7ieAyOOXHsz2TdFsxlr27disO1XBw3OuDRIqtXrzY7jFPN5/Pi1s99wwQkIiJTNTymXsuLDMnOKkTck4E2q28w3Jw+F1bcNh3wdg6PqlNISq1tzj5GBsf5ajeScaLaChFJWXBKfr9/TL+jXFyML9xYb8CJTh6qn7iHm3UGifUOnNYca9OnT++xqNr73ve+rqng0S40x6+VXxO/btYqJOKUbuLX6k67TibsGOak9GDmz59vaiPo8ssvH7THmBPmfI7xe8EeaT7/hlpdvr+J495YM/KTn/yk63vJ51buIMeA9X4e8vFwOtgNjId6HnJaP7HnmNPmIiIydrZtt/HEk0D9KRsHD8Ic5suGoj/+yVkor75u44DBcWKAvHHjRlRXV6fscfF/Hm+zcvnylN2miMh4SksIj7mIm/t2MuzMfNiWBy3eMuRET/SorIjGWVmRDngzEM9VJZuLL7/5ktvjsTDJ102X04jCYxEZld7BXe+AM1XYH8sXawxnExcNG6qLeDy407MMQI8fP45bbrnFhJEMDNkBPVC/8UA4RcyuXHbcJltHMV5f63AxGB5K4rR6MrUnnLp2n2fJhMfJdFRy+pi1GgykuTOCge/5558/Zs/DxMk1Vl0MVlMiIiIjx7/pL74EPP+CjRMngcOHeZQQ0NoKPPoYP85T3HQcJ+Oee+4x1VEDHVEzHG9585txx+c/P6ZdyiIi4zl5HBvm5DEsL2x/IU5knI/SyEvwWM4NHMi4yqms8BfC9qbBztLCz+b7G7PBl0HTSpwdoH6/prFlfCg8FpFRYXDHvlY35OREZqrt2LHDLCQ23A5jdwGxscapoS9/+ctmoTuGmXyc7EfkidOoFRUVppLgsssuM+cD9SETA+N/+7d/SzqYHO+vdbgY9A6Fz5+RXp9TYMOZDB/qegyPqaGhYUyfh5wqd5WVlQ3r9kREJPng+MmngNe22ThyFDh+HCguAvbsBfZ1HyAC2w51dRwn8zedOzCH2nGZDPbxx5cuHfXtiIhMJF9aQng8kmVYsgoRai3HtrY3IcfbiIb0RQimz4Kn/RDi7DvOKQUsNa5SW+e/Kv4LUmWFjCeFxyIyajNmzMChQ4fM26nu3mWI+vnPf74rsCssLMTb3/52MxXKSgRWC2RkZHQFsr///e/xta99zbwdH27p1igwFL7zzjvxv//7v3jggQe6JmO5WBunTHm66667zIQrV2y/+uqr+9wGA0u+kHSDY1Y08GtdsWKFeZvBauLX+oMf/AA/+tGPxv1rnWqSnfxOvF7vwHeo5yGnlhk+82fDSWMuujfY8zDx9se66kVE5HTGv7H8n8vzxJ2znM7iZPGevTZqD7HnGMjP5wQycKrX/kHL8sPrDZjF8YYSCAT0d1tEJIHPy/DYggUbsegI/o4HCuHx+NDinYmWjMWws6fDaj5qFsmDj5UVGrRwtbXyNQuHl1RZIeNL4bGIjNrZZ5/dFR6/+uqrKf2Osh7gyJEj5m0e2s9wdrA+4bGYwE121WAGvF/4whfMBPIrr7yCF1980ZwYHLMHlw4ePIjPfe5z+Jd/+RezSFrvQ2FbeRwtgMWLF+OOO+4wL1Kn2rTxZBMOh5OaEOP1XL2/70M9DxlYJIYWQ/1sEm9/rKpeREROZ/zfumHDBrPIKf/m8u/qqlWrzA7aioplePBhoLbWBuvlm5qdfkh2Hnf+O+7hvHM9CKSvxHPP3T3k/d5www0pqawQETlddC77Aa9vBLUVfK3l79ymTvMDkZDTJ2QqK/Jge3yTurKCOy7b20PIyPCP+f+GeNwGX2KweolVISk4AEYkaQqPRWTULrjgAvzxj380b7P39+WXXzaBcio8++yzXW+/+93vHnIhOnfhtcEkLsiWTKewG+gmixOsF154oTm5oeQTTzyBH//4x6ZLl7g4zrXXXtuj6zbxa/2nf/qnQYPjZL9W4WHKx5PqXub1XPkcTxvD5yEnl11uKC0iIsmpqanB6tWre1QXMUBmXdTmzZvx4Y9swNx5N4EHQ7W0Ogs4sfe4975gBh5XXcHuefZHrsYLL9QgHo8Ouv3A+xURkcS/jc6514MRTR7Dm454Ri686Y1AS7MJjq14DPH0XKeywjP5Yqs9e7Zi86834LHH7kU4HERmZgBXXLES77h5DRYsGJsee86bxG3W/AF5uc7wish40W5zERm1a665pkfY9stf/jJl39WTJ092vZ1MAMhJ36EkhrJux+1g9uzZg9FgmPz617/eLLTmho6ss3jqqadG/LUy9GZIL0PjFPhQOBHuPhe4IcbJ75H+bJJ5HiYujsT75kJ8o6GNRxE5kyaOewfHiXj5//f9NXjyqa0mOK6rB7a+2jc45gr1K9/qBMdUUlKJ17+hGpblGzA45o5fLW4nItKT23dsJo9H0nlMWYWwfX5YNmC1nTSL5CEtE3bOjEn37X7ooRqsWf0G3H//3SY4Jp7zfV7Oj4+F1jZnp2d6uiorZPwpPBaRUWM4+s53vrPHIf4PPfTQsG+Hh+8///zzPS5LPPwnsVagP9u3b8drr72WVL2Ey50EHsyDDz6IVGA/8/Lly/tdNG24X+sjjzyCehY4ypD+/Oc/D3mdP/zhD11vL1q0yPysRvqz2bZt25DPQ/aEz507t+t9TsqNRnp6+rAWERQRmapYVTHU3zlOD7/4/B1mUbzOVq0e5sx2gmMGyNTYCGzbDswqr8JH/vkBnH/Bu5GREeja4XzLLbeY7Zqqqqox+ZpERE6L2govEB1heGwHigFfOmyPB1a0A+BCeZYHcU4eT7KJ4299cw1iA4xY83J+nNdLdY1iWxuQncXXJUBOTkpvXmRICo9FJCXe+973oqKiouv9r3zlK3jssceS/vzdu3fjgx/8IB5//PEBg95HH310wM9noPd//+//Teq+zjrrrK5JTXY0D7bIH0O9vXv3Dnp7yUwvJ1ONkOzXyoX1vve97yV9n2e6F154Affff/+AH+fk7913d/dcsjOzt2R/NtwBkuzzkGGE6xe/+EVSU/MD4YJ9/U1Ji4icTtgtyY7jZBw8sAWNjX3LN887F3j91U7YwQm5AwdhQma+EF+6BFixYjl+8r/VOHz4IGpra83/CB45pIljEZH+eTyWCY5ZWxEfYXgcN73HFpDm7LizGR5nT590lRWsqhgoOHbx4zWbN6b0fsPtzv8s9hzn5jgLFIqMJ4XHIpISnHz8xje+gQI2+IML0rTjs5/9rAmRBwpnuQeVE5q33XYb3v/+9/cb0l5++eVdb//pT3/Cz3/+8z49xXxxxwXoduzYkdQK6KyOOP/887sew3/+53/2qQ3gVBPv67//+797THX251e/+hXe9773maC5rq6u3+u0tbVh/fr1ZiqVvF4vLrnkkgG/1jvvvNN8vf1NV/NwXYbQyXytwoAgDV/72tf6/X5y5wGfO+40cXl5OVauXDmi5+GBAwfMDpBkn4dvfetbuybR+Xz7xCc+YZ5D/U3UseaEO2P4O9WfBQsWpHxSXkQk1cEv/xfyfKS4gy7ZxWLj8SBsu3tBUv4rf+MbgBVns+qH6xkA23dwB7AziTxvLv+WWnj7DUBZmWWOOOFiq1ocT0Qkud5j1laMdPIY6X7YXDAvzQ+bN8TKiryySfWt5/8vdhwn49FHt4zq/11vba3OZDdfYiTMjIiMm8m1G0dEprSysjL86Ec/wmc+8xnTE8x/mAzaeOJh+gsXLjTTtgzdWNmwc+fOPtUNfKGWiAHrueeea6ZHGfSuW7fOLJTDKefs7GwTHLPTlrdZUlKCd73rXSakHcqtt96K//N//o95jKyuuPnmm83Cf7yN5uZmc3+c8OXhqgxrv/vd7w56e7yN73znO+Z6/D4wzOM0KINABsp8jHzR62LYPH369D5hIvuiOeXU0dFhgvef/vSnpkaBATbDdTd85mUXX3wx7rrrrqR+Nmeyj370o2YnAL+ffH5yeoyBMr+fDI8T61e+9KUvISMjo89tjMXzkP2ZX//617F27Vrz+Qyw+Rz6/ve/bxacLC4uNs8fLr7HnQYMXXhf/WGn9m9/+1vz9m9+8xsTYPOx8Wty3XTTTZg1a9YovpMiIiPrKGbVBCeGGfzy/yqP8FizZs2A07wdHTZaWpyAl73FrZ2npuZMpKcH0NExdIBsWQFYlrMjjwf6vOH1rI/ii3/g2HEeCeRMcC1cCORkW7jkIudtdciLiIwwPPY6f2O5rTz8v6UW7EAR7GA9rHgUtuVFPHtyVVa0t4e6Oo6Hwuvx+n5/z9e2I8XKiqyA8z9K4bFMBIXHIpJSPLz/Bz/4gVnxnEFoC1/9ATh69Kg5DYRh6Ic//GHceOONfT7GqdFPfepTJhCjI0eOmFOiefPmmcnnxDBwMHzB+vnPfx7f/OY3TeDHSenelRkM73jfvSdMB1uAjxtLhw4dMqf+MLT8wAc+gA996EN9PsaAmOHhJz/5SRw+fNhctn//fnNKxGCRj+uee+5J6ms90zHI5Q6BH//4xwP+bDiNzgn4wQ5LTuZ5yB0kX/3qV5N+Hk6bNg0//OEPzXOXPdbE35nez0XXQBPNF110Ea6//vqufmfef+/HcNlllyk8FpFxxZ1svRe3Y4DMbQQeafHVr23AFVdUOSFxS3dQ3N7evbodg4iODvdkYcHCldj2WnfV0EBy81fBsjxgvfzllzo1FTzIhDUV3Jc7YwYwfRpQWmrhyit4GLAOARYRGak0H+DrXDiPL50YJg+XHSgEfH7YDJKzSwAumjeJZGT4TR9+e/vQATKvx+unAneodkT4esXZ6enz6f+VjD+Fx3Ja4WuTfft7Lad9hpkMa2UxTOXh+1xEjyHY008/bSYnGxsbTYjHAJULks2ZMwfLli3DlVdeiSVLlgy4h5rBHgNpTi2xu5YTo5zSZEXG7Nmzce2115rgjFOWyYZ2xHoChoXsm33uuefMAnQMcDklzUnOt7/97WZSmh8bzHve8x5zfX6dnD7l1DWDck6K8nBXTotycTRONr/5zW82tz8Qfj0/+9nPzIvqv/71r6YKgS+6CwsLzTTzddddh2uuucZMrUryPvKRj+B1r3sdfve735luYU6D83vIKfGrrrrKTJ7nDLHyxGDPQz6XOUnH5xR3RAznecgJ9W9961umwuUvf/mLWTSSNSoMkTkFzUnmxYsXm+ln/uwHwqlpBsQMkDkJzy5uPhYRkYmaOO4dHCfi5V/49zX42McXo6Sk0oTD/JPVHRQD7R09t2u4mbC4YjV2bMXSgK0AAQAASURBVK8xi+INzIfikltxwflA5TLnErZKHT4CpKcBixcB2dmW6T9eXun0dYqIyOgnj0cTHsezZ8Dj2QorzY94wbxJ9+OIRCycd/5KPPH3oXdgnnfeKrQFLeT0f9DgsLS2Of//OK+kqWOZKJbNMTmRFOKh/uNt66s2mppsM0kibheShcplU+vFEMNjdxE5Bs368yQjldgn/eSTT475N1LPXZnK9PyVVOL/7sZGmFqK++4b+gX2vPnvxusuc2p++OKYE8LsJ+Ypo/OcJ64uHwo7HcUvvViDJx5fC9vuL0D2Yc78arz97VUom8kX+8DBWqC5GSguYsUWUFhg4aoreYTR2G0nebZtQ95llw16nabHH0d86dIxewwyeenvrpxuz98jR23U1trYfwDmb28gMMK/rx1BWLEO2P6eC4tPtNZW29QdHT26FV+97dpBF83zen34ym0PoKi4Emycm1YyugXuag/ZZqp7xgwLy87iVPPUeo0/mZxJf3sLOteiShWNrslpgXs2GZZqT1zP74mIiIjIWOMhtWymqj0MsHWpuTmGhx5KblGhQ7VbsGDe7cjwe8xhz5w4ZkDME1+o87yxyamz6FaFeQsrUF93B5obt8C2g6bjmFUV8+bfilUrK8GDSfi5DI5p/nwgLxdYusTCRRfqsF8RkVRiuOlOHo940TxKD8BGdyXgZNDQYKOunkesAJdeWon//NIGfPW2Nf0eWcMjG7/85Q245JLlaGmxceKkU5c0fZqNrKzhh77RqG0ql1izxAExBccyURQvyWlhSYX2vomIiIiM53Rx7SEnLD5+gocp26Z2oqkZOFUfQiSS3KJCvN4LL4XQ1pZlQuJk23Yy/ZUoK1+PmbNuh22HzOJ4C+Z7cNmlzgQzQ+P6eucQ39nlQE6Ohcsv49vaZhQRGYvBJVYAeTy2qa04HcTjNk7WOUeuFBYCRYWc5rSwdk0VXn/1EmzcuNGsQeMuBnvDDTeYuibWIp46ZaP2kAW/3wmQjxxlt76N4uLhTSFzoTxem13HGpSTiaTwWEREREREhpwu5otfrjl66DBf0NpmMTsucscX1jxxapjBbVaWH2lpgaQCZE4M79nrN583ElwULz09C+eeA5y1lAvyOVNerKsoL3eqKmbPtsyieX6/gmMRkbHg61zbjhVDgzQ6TBncIXr0mLPQaul0ZwfkjFKnOoIYEFdXV2PdunUIhUJmUWuudeMqLLSQne0EyAzWm5udIDoYYo1F8lPIDI8z/U7gzKNnRCaKwmMREREREekzXcxlLBKnizmFxRfSzS1OWMwqCdYFspM4N5dTVc5hvaGQB3PnrcSunUN3HrNqggFwstzpK57y8/giPB0lJR7EYmEcOwYcO+4c2rtgPq9r4eKLgIrFTs+hiIiMXW0FsboiFj89dpZyByn7m/m/ZM5sZ+q4NwbGWfzH1I/0dMv8L6qvt3HocOcU8onOKeRcGyXFgy/Yyv+5DJuLipz1ALhgnshEUXgsIiIiIiLmherBg3Hs2h3CiZN+hMOWM13c0h0Yu9PFXEF+5kwnMPb6gBPHgR07nalkdg3H7NUAatjYOOhLkaLiW/tcyuEthtFuQOyGxZy64gtoFwPhzEwvwmEbO3c5U8fTpztTYtOmWbjqCmdNDBERGVvu32ZO2U7lyeNg0Jk4Zgd/2Sxn4b/585wAeaSKiizk5Ng4cNAy36emJqdD2fzPmmb3u7hgPB5H/akgYjE/srM85n+gdoLKRFJ4LCIiIiJyBuML2T/9eSt+8pMNeOGFexHpCJraiXnzV2LhotXIL6hERoYT3ubkAtlZztTx4SPAiy/BTPz27rh0Oomrcbh27QABsg9z5lWjfHZlz4A4zwmmE47+7YPTzh0RTjjbiEZiOHHSGXNbtNA5tHjF2TCn0axuLyIiw1+s3etxdjJORY2NTrUEJ3xNVUW2ZRZb5QTxaPE2+D+qrs7GYa+FQMCZQub/0bw821QscQp5z56t2PzrDXjssXsRDgeRnh7AVVetxCc/uQazy5en5OsUGQmFxyIictp58sknJ/ohiIhMalzBfd9+mIndP/1xMzb9ci3i8e6Ql33FO3fcjd27alB1czUql1WZQ21ffdV5scvweCh5BVXIyKxAfd0daGnagng8CJ8vgIqKVbjq6lsxd15lUl3H7C/mhJY5hZxzd5H7QCCO4iKPWYQoP9/ClVdwkkuhsYjIeOJUrM9nmyNRYuGpV9PE0JhHzXBnZkkJzy3MmZP6nZDFxc4U8kEzhWyb+3SnkLdv24z//q+1iCWMbnd0BHH//Xfj4YdrzAJ9VVVVKX08IslSeCwiIiIicgbgC+S6Oicw3rvP6XXctWtrn+A4ES/f/Ku1eP6FCmRkViZ9X5xUZldkWVklZs5cj8yM2xGNhOBL67moUG8MhXsHxQyP3ck2ToQxKOZ5VoCTxmkmgC4v9+CiC+yUTIiJiMjw8W+06TyOTq2F8diVHwqyQ9+pOmL90cwZY1cTkZFhYeFC/j+2zPeLU8jPPLsV//Xdgf8XR6NRrF69GhUVFWaxPpHxpvBYREREROQ0xk7g3XuAXbuBU6dsE8bW1wP1p4BHHt444ItVl21HUXfyDpSVrx/wOnyNzVB3VpkTGnOBn54ZsQfpGT0XFWLVhRsQuyf3cGfnBTVQWAAEsoCA31mYjzIzLXOIb0kJDynOwLRpHkQ6OkydhYiITAz2BHPhvLjtdOgPthjceGJ/cHt7CBkZPXdecgfq0aNANAbMLOMOSQuzy52O4rHGYJoTzlw4j13Ijz0y9P9iBsicPq6urh7zxyfSm8JjEREREZHTcMr4yBFnyvjAQaemgofHMjTm4nd8/ZyXF8eh2nuTur3mxi2YOet2WFb3C28GumUMi8ucKS1OGw+EC+8xKA4lTBWHOw9t5mNhUMzDhXnOk3tbnCRmUMxgmoE0V6fPznZeePOUn+8112ucoh2bIiKnC1ZWcMefu3NwsO768dC7PzgzM4ArrliJd9y8BjNnLjPBsccLlHcujDdvrtObP544hbxgfgx/+1ty/4vvuecerFu3btAjeETGgsJjEREREZEphpNUoVAIfn/PSarWVtsExrt3Ay2ttgloGRifanAqIbKyWPEAcCBs566Q6TZOhm0HYSGEGaVZXYFxQb4zcdwfTje3tXWfGBZzMpjX9/udRfGmT3OC4sxM53N8PgtFhU5QbE5FzgJ6WmFeRGTyS0vrGR7z/Yny0EM1+NY31/ToD2aAzP5gfuwfP1CNq66qQmkp/y8ywHWC3IkQDocR4p7VJASDQfO/P4v/zEXGkcJjEREREZEpYuvWrdiwYQO2bNliXkQGAgG87W0rcePb1wBWpZk25pRxY6MTGrcFnR5K1j9wYpeTVlxTlIsD2bYflhUwwfBQuNDdP9zi73e6mKEwQ2qGxK2dYbFbP8GqCb7GLSh0zv2ZToDMRYgKCpyAmIfu8jw/31ltXkREph5WViSGxxM5cdw7OE7Ey3/6k7W4+OIKFBQsx9w5zs7LicKdwPxfzv/pQ+H1eH2R8abwWERERERkCqipqTEL5rD30MUXm7/61d3YvLkGN95UjbKyKjQ0OjURubnAnNmcQHbqKw7WOpe7WEGRm78STQ13D3nfK85ZhYwMT3dXcbA7LObbvMydKua0MIPi7KzuyTMuQsTFiNygmMHxRL5YFxGRsVkwb6LDY1ZVDBQcu/jxP/z+DryjqnrCj27h0UOrVq3Cpk2bhrzuDTfcoMoKmRAKj0VEREREpsDEce/gOBEX2vltzVqsvKECixZVmiCXXcfPPAOEOruF+1NUvBpNDTVcimfA63g8Pqw491bUHnIC41DIuZwhAUNi1k/wnBUUbNDgVDFrJ3g5T9OmOYvciYjI6cuX5tQMeTy2WYRuoiqd2HGcjAce2ALbXj/h4TGtWbMGmzdvHvB/PPl8PrMdIDIRFB6LiIiIiExyrKoY7EUl2XYUr756B041rsepU0PfJisklp1Vicpl1fj9lrX9rvRuWT5ccmk1wuFKwHZCYi5ax3O3q9jvtzB9emdQXOIsbMcAWUREzqzaCnfH4kRNHre3h0y38VTrD66srMTGjRsH3EnM4Jgf5/VEJoLCYxERERGRSYyTVPfcsyWp6+7dvQXpmbebSor+cDJ4djmwcCFQNtN537arMHNmBR756x3YtXMLotEgvL4AFixYhYsuuhVz51WasJiHJHNCi5UT7kQxT1z8bjJMbomIyMRxa4r4v2KiwuOMDD8yMwNJBciTrT+4qqoKFRUVJiS+5557utY1YFUFQ2UFxzKRFB6LiIiIiExSXPzuiSc5HZXcJBUXv7PtECyr5yQVp4UZGM+byxfXzmXt7cCpBqChgW9X4qJL1uO6629HIBBCbq4fXq8HaWmW6Sl2Kyj4dnq6gmIREemJoTF5PRMXHrM/+IorVuL++++ekv3BDIirq6uxbt06MxXNcHuyPUY5Myk8FhERERGZhI4dt/H440D9qUz40gKIRoYOkC0rAMtyJqnYQbxwAbBgAZCf53ycR8OerHMCY/YX8/Bifqy83Jkg9nq9mD07GzNKnQoKThl7PAqLRURkcPx/woNQvD4gMkjX/lh7x81r8NBDNYMumjfZ+4MZGE+GOg0Rl8JjEREREZFJpKPDxrPPAdu22ybgPVjrwazyldi/d+hJqryCVViwwINFC4DSUqeWIh4HGhudKePmZud6OTnA3DlAXp7TTzxjBrBwPjBnjiaLRURk+Fhf5PPZE9p5TAsWVOKzn9uAb31zTb8BsvqDRYZP4bGIiIiIyBj2FQ/n0NODtTb+/gTQ0mLjyBFnSrijA8jO4YRUDWeHB/xcy+PDe997qwmAbduZLGZgzOCYL+Q5icyeY04T8/DiggLLmUyezwXwNF0sIiKjk+ZzFs6byPCYrrmmCnPmVGDzrzfikUe2oKMjaLqQ3/529QeLjITCYxERERGRFNu6dSs2bNiALVu2dC16s2rVKqxZs6bfRW9CIRtPPgXs3Web6eDaQ7wMqK8HjhzlNSpRVl6Nw7Vr+w2QPR4f3n1LNaZPrzTXZy0FQ+f0dKfvmIFxZiYDZMuExTwVFmqhOxERSR1WVnDymDswYzFOIVsTOoH8qX9djxtvuh0lJSHMnRPAwgXeCXs8IlOZwmMRERERkRSqqakxXYpRFgx3YoC8adMmbN682aykzlXVybZt7N4DPP0M0Npq4/BhdhzzbU4hA5FI9+3mFVQhI7MCp+ruQEvzFsRiQaSlB7C8chXOXnErfOmV2La9s8c4HygsALKzYRa94zQyaylYT6EOYxERGQs8qoX/g4jTx+7bEyUSdfqDs7Oy4M/UETYiI6XwWEREREQkhRPHvYPjRLycH6+oqMCcOctMRcWhw7aZFD502AmNjx4Dmpr6v/3ZsyvxrneuR27u7aivD6Gl1Y/WVg8iMcCfBsybC+TmOj3GrKjgYnlzZjsBsoiIyFjXViSGxxPN/VfMUDstbaIfjcjUpfBYRERERCRFWFUxUHDs4se/8X834Po3V6OtzTYVFQyPT50CDh/p/3NYP3Hh+cDChU6H8fYdHkQiWeBi7LPKnEljvjguKnJ6jOfPcyoqREREJmryeKJFI87j4RE3/D8qIiOj8FhEREREJEWL47HjOBkPPrgFy1fcjqNHPWhsgqmraG/v/7oMgy+8wJmg2rWbFRhOWDyj1Okx5mJ37DDm9bgInoiIyETwpU2y8DjqBNqk8Fhk5BQei4iIiIikQCgUMt3GyYh0BLFzZwj19Vk41dD/dfLygEsvcRa74yJ4nDgOBIBFC50u4/JyC5XLnBDZshQai4jIxPKZ4NiC12tPivCYnces0iDVVoiMnMJjEREREZEU8Pv9CAQCSQXIHm8Au/f4zYr0vXFq65wVwJIKoK4OZhE8Tk6xu7iwkCcLF10IlM1UYCwiIpOHG9AyRJ4sk8cBP2sr1P0vMhoKj0VERETkjMfKCU4OMwDmyuwjwc9btWoVNm3aNOR1c3JXwbb73s+sWcDFFwIdEWDHTlZhANOnA9OnOfUU550LLF7k9DeKiIhMJm5FBHeCRidDeBwBfLmaOhYZrZFtGYuIiIiInAa2bt2KNWvWYPbs2SgvLzfnfJ+XD0dHh419+21c8rrV8HiGms/woaj41h6XsI7imqud4PjIEaC2FsjNAc5aygXxLJyzwkLV2zmNbCk4FhGRSR8exyc4PI7FbMRtp7ZCfccio6PJYxERERE5I9XU1GD16tWI8rjWTqyc4OTw5s2bsXHjRlRVVfX7ubZtm4XuDh1yTseOc0rYRji8DG9+azX++Ie1sOPdt9vNh7LyamT6K817rCpmQLx0CXDyJLBnLyeMgYrFTqA8d65lFsvLzdGksYiITG5eL3dw2iY8bu+Y2Mfi/mtnoJ3eWachIiOj8FhEREREzjicLO4dHCfi5fx4RUUFKiudoDcatXH0mBMW1x4CWlpsUyvR0go0Nzunjg4gv6AK1725Aq9uvQOHa7cgHg/CsgLIzV9lJo7d4LikBKa7mJ/D0JhdkXPnOAvkFRdbZgq5tFShsYiITB0Ma72ToPO4R3icPrGPRWSqU3gsIiIiImecDRs2DBgcu/jx22/fgE9+qtqExUePOgEyw96mzrC4pcXpJY7FnRC4pRmoqwcikUrk5K1HRe7tsO0QLMsPy3Ia4/gi9vzzgMIC4Ngx575mlDphcna2hQvOAxYu5FSygmMREZm64TGP0pmo/2WRCGB1Pp40hccio6LwWERERETOuMXxtmzZktR179myBRdcdDuCIU/XdHE47Lwo5aJ2wTag/pRzWX8YGFtWVtf7CxcAiyuA+jrg8BGgqMgJjv1+C8srYU5paQqNRURkaofHxJ2r7tvjjfuHvSbxsjR5LDJKCo9FRERE5IwSCoVMt3EyIh1BvPhSCHE7C+GQExKz67i1dXj3mZcHnHcuEIsCRw4DOdnAvLkMjRkoW2YSmVPHIiIiUxkXqHMDYxPgTlR4HOvuOlbnscjoKDwWERERkSk1Nczw1+/3w+NxaiCGu/p6a2smMjMDCIeHDpA93gD2H/CbOgp7mPfF7uKZM4Bp05yF8U6dAjIygPnznDB5+jQLF1/EugqFxiIicvpNHrPSaaLwCCGuJUDuuYiMjMJjEREREZkSC9yxp5h1E5waDgQCWLVqFdasWdO1oF1/2FF88iRw7Lhz4tuRiIWzlq3E88/dPeT95uSuQnNzciF1VpYTFvNUWORMXLW2OFUXVFYGlBQDOTkWLjwfmDdPvcYiInJ68aUlhMcTuGge/wcHAm6YrZ20IqOh8FhEREREJrWamhqsXr26xwJ3DJA3bdqEzZs3Y+PGjaiqqjKXt7fbOMGw+Bhw/LizeB2njfkCtrUNaGt1Kieml66GZdXAtgdbNM+HouJbB/woF76bMSNhuhjObbe0Avv2OdPGrKXgQngMjdlrvOJsYNlZfDGrF7IiInL68XmdsNaCbaqaJgIX6uMmAx8L/1eLyOgoPBYRERGRST1x3Ds4TsTLb129GuGOxcjKqjTVEHzRyMNVu8LiNobNzikUAoIhTgNXYuasahyuXctb6eeWfSgrr0amv3uq2esBpk13wuLSUiAzozssPnDAuQ4vy8kBZs50eo05fZWebpkp4/PO4RSUQmMRETl9uRURXKxuomor2HfsPhb1HYuMnsJjEREREZm0WFUxUHDsikWj+PGPNuL6N683YS7DYhMSB4FwOxBsA5qa+x4+m1dQhYzMCtTX3YHmxi2w7SAsK4Dc/FVm4pjBcXGRM13ME0PhUNAJi48cYUjtHA6bm+PWUTgvVDlxNa3ECZAZNBcXAx6PQmMRETn98f+iu8N1oiaPo5Hux6LJY5HRU3gsIiIiIpN2cTx2HCfj5Ze2oKz8dnR0eNDWGRbHk5h4YkBcVr4eM2fdDtsOITfXj7KZHhMWFxUCHR1OWFxfD5w4wRAYyM52gmGGxpmZzu0UFVpdYfH06QyRFRaLiMgZHB77Jq7z2N3nzKN/0lRbITJqCo9FREREZFIKhUKm2zgZsVgQu/eE4PFkDes+cnOdsLd0ugfFRVlmmrilxQmMGxud3mIuuMPeYk4WZwWcy7KzLZR1hsUMmtlnLCIicqbrCo+9XKB2Yh5DJOrs7OWRQKqtEBk9hcciIiIiMillZGQiMzOAcHjoAJl1E5blH/J6+XlOXzEXuCsocKaTOanM0779znU4TZyX54TF2VnOC+CMDMuExGUzOvuMc3ifCoxFREQSsabJ67VNbUX7BE4ep3WmXaqtEBk9hcciIiIiMunU1dl4/AkPllWuxHPP3j3k9dlTbFmePpcXFgDTGRaXOFPGfEHphsXNzc4UMcNihsEzSp1KCre3mBPJnCzmhHFhoXqLRUREkp0+Zm2Fu3DdRHQe+9J6LuAnIiOn8FhERERExqSvmLUTfr8fHh47mqRIxMZzzwOvbeOCdzZmlK2G9VwNbHuwVXd8ZoE7BsHsKWboy0XqWDHBQ2bbgk5Q3NTkTBHzcobJWVnOyT20lQExA2ROFk+fxhe/miwWEREZUXjsdY7uicftcV80ljuKM/3ODmKFxyKjp/BYRERERFJm69at2LBhg1nojn3FgUAAq1atwpo1a1BZWTno5x48aOOJpxj02jhyFNi5Czh8uBIzZ1XjcO1avhzs8zmW5cPFl1TjnPMqEfAD4XZnqphBMU8ZGU5AXFTkVFC4C9xlZlqmuoIhMc+LixQWi4iIpAIrI3xe5+1Y3NlJO96dx9k+JzhWxZTI6Ck8FhEREZGUqKmpwerVqxF1lzkHp4eD2LRpEzZv3oyNGzeiqqqqz+e1tdl48ilg/wHbTAjv2Qfs2+eEv5RXUIWMzArU192B5sYtsO0gfL4AFi1ehbOW3Qp/oNJ8Hhe64+J2rKpwp4o5/cQXjvn5Tkg8vcQ5Z4WFXlCKiIiM3eQxxWPjmzxx0pkTzwywM9LH735FTmcKj0VEREQkJRPHvYPjRLycH6+oqOiaQOYLvG3bgedfcALk2kPA/v3A4SPOIaeJMv2VmL9wPRYuuB0WQvD6/EhP93SFxKyiYHDsHKJqoaSkc6q4BOZtLngnIiIiY499w254HBvn3mPWVZnHwMljhcciKaHwWERERERGjVUVAwXHLn6c08fV1dWor+eCeMDJkzbq6oADB4GDtUBjY/+fWz7LqZbweD2YOSMLObndE0U52U4FhVtDUVCgxe1EREQmCisr3PB4vBfNczdFGB6nKzwWSQmFxyIiIiIy6sXx2HGcjN/97h687/23Y9t2j5k2PnjQmTTub9qYMjOAigpnojgrG5gzG8jOtrB4UXdYHAhoqlhERGSyYNcwF8nzeOxxnzzmtoTV+RjS08b3vkVOVwqPRURERGRUQqGQ6TZO7rpBPPd8EKdOZXWFxg0N/V93drkTEPOF54xSYPp0oLTUwpWXAzk5CoxFREQmI29n0sSF8mKDH5Q0JuGxc/+WJo9FUkThsYiIiIiMit/vRyAQSCpATksLYNduP07WAUeOdHcTJsrMBJYtBeK2c9jpggVONcV55wKVy1RJISIiMtlrK8y5D4jFxz885tQxueciMjoKj88gbW1tePbZZ3H8+HE0NjaisLAQZWVlOP/885GuMiAREREZIY/Hg1WrVmHTpk1DXndm2Srs2+dB/an+P85aipkzgFDYWeiObxcWWrjqSnYea9pYRERksnNDW/Yej/fkcSTaHV4rPBZJDYXHKXLNNdfg8OHDI/rcv/zlL5gzZw7GyokTJ/Bf//VfuO+++/qdCMrLyzMv+D7xiU8gOzt7zB6HiIiITN7OYlZP8NxiufAIrFmzBps3bx500TzL8iHDf2u/wTGnjc9ezsfiLK6zYD6QmwucdZaFC8/n9JKCYxERkamAE8fk9QAdHeN739wM4TYFg2ttO4ikhidFtyOT1N/+9jcTDP/2t78d8FDSpqYm3Hnnnbjxxhuxbdu2cX+MIiIiMjG2bt2K1atXIycnx+xALi8vNyEwL09WJGLjyFEb0dgy3Lp6Azwe34DB8cxZ1fClVfb52Nw5wAXnOy8ws7OAJRXsN7Zw3RstvO5iSy/+REREphDuiGaAzO5h7hAeL7ZtmzqsNB+QkT5+9ytyutPk8Rj9oeThm8O5/lh49dVX8dGPftRMErmmTZuGK6+8EsXFxTh69CgefvhhNDc3m4/V1tbiIx/5iJkaKi0tHZPHJCIiIpNDTU2NCY4TJ4W5o5nVE9wW2LhxI6qqqvp8XjBo4/gJ4PhxmPNTpzgt7KymXlB4E97z3sV46qk7sGfPFsSiQXi9AeTmr0JB4a3I9PcMjjkZdO45zoJ43FyZPRsoKmSYbOGyS/lxTRuLiIhMRSY89gLxcQyPuT3h3neawmORlFF4PAY4wfvNb34TEykcDmPt2rU9guMPfvCD+OQnP9mj37i1tRVf/OIX8cc//tG8f/LkSVNfkUxnoYiIiEztieOBKiZ4OT++ePFilJVV4gTD4s5TS4ttrtPeAbS1ck0FoLWN2x7O5/p8lXjDG9fjTdffjtdeDeHocT8sy9PvtPH8ecCpBiArC1i4kFPHFi65GFi0cOx2rouIiMjY4/Qvu4e5+C13Mns81rj0HXeFx1osTyRlFB6fpu666y4zWezi5NBnP/vZPtfjIarf/e530dDQgCeeeMJc9sILL+CBBx7AtddeO66PWURERMbHhg0bBu0mJn78M5/ZiJvftR627UwGMyRu6zzxsFB3ejjgB/x+J0BuagIOHQLq6j2IRrPQOwPm9S84z3kx2dAIzChlRQVQOt3ClVew51ihsYiIyFTn7Zw8dieCh3Fw9ohFE8LjhJk5ERklhcenoUgkgh/+8Idd77PHsL/g2MWKja985Su4/vrrzUI57otKhcciIiKnB3YA8gVVKAyEgnH87ndbkvq855/fghXn3Y5QyGMWsmMQ7M90Jol4ewyRDx9xqivcQ0UHM3cusHgxUHfSmQhavIg7si2cswJYcTa3SRQci4iInA74fz4xPB6PSeBoxAmpvV4L6Zo8FkkZhcenoaeeespMErve9ra3IS8vb9DPmTNnDi699FKzwJ7bl8wOZC6cIyIiIpMLD/9sbwfCPIWc8/awc86A2H3b/RgngmMxp26ioz2IcLj/RXR7i0aDaGoKIW5nIRR0poobm3j/w3u8nDa+6AInfD5xHCgqAmaVAQUFFq66AigpUWgsIiJyOuGO5sTweDxwxzanjkmTxyKpo/D4NPTQQw/1eP+6665L6vM4eeyGx/Tggw/iAx/4QMofn4iIiAw/LN63H9i2HWhsBDo6nGniRHyXL5r4Ao3n7P2LRZ23udI5p3F4Hon44fMFTDA8FMsTwCtb2Vk88p8Ye42XLnH6kt33uU97SYWFiy7kJJKCYxERkdN1wbzxDI8jCeGxOo9FUkfh8Wno2Wef7Xrb6/Xi7LPPTurzzjvvvB7vP/PMMwqPRUREJlA0amPnLi5wB7S02mhu5mK3nWFwtOepvxdmbujLYNksWMPPi3kwY+ZK1B68e8j7z81b1e9idwPhwndFhUBhoTNdXFjg9Bqz2iI3F5gzm3VaFi6/FJg9W6GxiIjI6cqX5ix+6/HYZrtlPHB7KDPD2f7R5LFI6ig8Ps2ws3j//v096iiy+EouCfPnz0dmZibCncul79mzZ8wep4iIiAwsHLbx2jZn0jgUsk0Ae+KEs2gdVy+H5QTCDIzdSWOeOJHMUztPnXUV/a2Ll5axGkANX2YN8ih8KCq+dcCP5uQ4ATHDYnMqAjIyuu+X9RkHa52F9cpnAcXFQHm5ExwHAgqORURETvfaCuL08bjVVkQAX5YzdczgWkRSQ+HxGNi+fTs++clP4rXXXkNdXZ25LD8/H7NmzcKFF15oFqJbsmTJWNw1Dh8+jHa+aus0c+bMpD+Xf1xLS0u7wmd2HnPxvTQd7yEiIjIuWlpsbH0N2LmTIbCN+nrgxElnerepkR93Oox7NVYMW6a/EmXl1Thcu3aAANlnPs7r8bUXaybcgNidLOblbkjMUPvAQed9tw+Zh40GAsCC+ZxItnDxhUBFhV7MiYiInAncGIHbA+MRHrPiKxZ37k9TxyKppfB4DGzbts2cErW2tuLQoUN48sknsW7dOlx55ZX4j//4DzMZnErHjx/v8T7D4OGYPn16V3gcjUZRX18/7NsQERGR4amvt/HKVpheY4bGJ+uAkyeBU6eAUw3OQnW2HYdth2BZ/mFVSQwkr6AKGZkVqK+7A82NW2DbQdNxXFKyCssqb8X8+ZUoLALy85zpZYbEXICvtQ3m8bkTzVzVnAvi+TO5AJ5z7vd3dw5OK7FwxeXcka4JIBERkTOFux3g9YxPeOxulzC01vybSGopPJ4gjz76KKqqqvCd73wHV199dcput62trcf7AY78DEPviovetyciIiKpwQXvjh4DXnkFOHTYNnUTrKbgpHH9KQbKzkRvOLQV9XUb0dx4rxPwWgHk5q9EUfFqMxmcLL54y/Q74W7XeWYlAv71yM7ZiOysMDIyvIhGPeZ+GRbzAKojR7onnVlLwaCYFRTO5zsn9wgmVlmw55ghMqeTC/KdrmMdOioiInJmYV0Fj1Ly+oCI04w5LuGxJo9FUk/hcQpxavcNb3gDLr30UlRUVKCoqAjp6elobGw0k8gPPPAAfvvb36KDrw7Noakt+Jd/+RfceeedWLFiRUoeQzDYc+X0DL7KG4be1+99e8nQC0QZqcTnjp5HMpXouSvDPaySFQ8MjTnBGwzaOM7Q+IQTGNfVd78Aamqo6VMtwQC5qeFu87E586oxo6yqa9o3s9d5YlDMCWHeLjuIOyLOeYQdyRFe7sGx4360t0e7XnjxNhj8Jt621+v8neZiNAWsryiwnKC4gJPFnPTRdLGMn8n8tzeZx8PrTLbHLeNjMj93RVL1/OXH0tJs033MBXvH+rnO6WbeA6eOM9L191X6f07297YMTeFxinz96183fcY+99iMBCUlJebEqooPfehD+OhHP4qdLDMEF5VpN/3If/7zn03QPFqJfcc03L7i3o+h9+0lg/3OIqOVx4JNkSlIz10ZSDRqY8fOGF58MYLGJhvNzXEcPRbH0aNxnKyLo67O7tFlzInjgTuJzS2i9sBavPvdZ2PGjOWdi+XZTjDceR5ut01PckfE7rNwnjOZYyGdh3emWyYI9gcyEPBb5nJ3aqiwwIPCQgtFRZ6uU8CvjW6ZXCbd317ueRnyKrnOXhc5o026565ICp+/BQVRBINRsz2SnT228VM4HEd2Thw5OT6UlHiRnz/6ii85felv7/AoPE6R173udUldjx3HP/nJT/COd7wDR3gcaOcid7/+9a/xnve8Z9SPo/fkMBe8Gw53Knqg2xMREZHhaW+3sfXVKF5+JYq2tjgaGmwcORrDkSMMjW00NfW/+h2rKgYOjh3xeBSbN9+Oyy7ndR0cpEjzOYEw9wnn5DIgtpz30zoD43ROIidOXwDZ2Z0BcaEHxUUWCgs9pqc48XoiIiIiyeKOah61ZHMxu5jddQTTWIhEbbO9Q9zmEZHUUXg8AVhn8elPfxqf+tSnui774x//mJLwuHfH8XAnh3tff7idycSaDpGR4KEj7h7ApqYm0wcqMhXouSv9aWuzsfU1YPt29hnbpsf46FHg2PHuPuOBcHG81uZ7k/rGHtx/D9717u8hI93TtUhM4qF4nB7OCvB/OhDIsszbXOKg6zzLQmlpngmJe//tbW7Wz1Ymr8n8t9fT3IyhZo+bm5sR13bzGWkyP3dFUvn8DYVshMO22ebh4r/ukU1jgTvjub5Da6uFUJBHYSlAlpE/d6e6/BQf2aTweIJcd911yM7ORmtrq3n/xRdfRCgUgp+lgqMw2gXvel+/9+0l43T+BZTxw+eRnksyFem5e2bjz//YMWDXbmDvPqdGgovOHT4CczkD5N71EYkY9C5aCCxYEML/eyW5dQcikSAWLgijqDDLhMGslAgkhMM8iGjwTsLuKWQ9f2WqmmzP3WQey2R7zDIx9DyQ0/n56/Ny2tgGr8Htn2G2ag5LNGIjI8tZ48FMO+vvqwxCf3uHR+HxBGE38vLly/HEE0+Y96PRKE6cOGFqLUa7aF+i48ePD+vzj/GVbcJj5JS0iIiIDL7xyUlihsU8tbTE0BYMoanRj8NHuBAd0NDA6w18G1yUbulSYMF8oC3IxfP88HoDiMWGDpB5lNCqtwVULyEiIiKTsLaie0G7sRSJOvc3lgG1yJlK4fEE6h3MNjQ0jDo8LisrQ2ZmJsLhcFef8vCmpbrD49mzZw97wT0REZEzBQ+P3LPXCYz5du3BrXjwwY3Ysf1eRKNBeDwB5OStRFHxamT6K/u9jYICYNlZQOl04FQDsHuPe7kHlctX4qUX7x7ycdxwww3wcMxGREREZBLxpY1PeMw+Ze6kdxYDHrv7ETlTKTyeQKypSPXidHzxOHfuXGzfvt28f/DgQVNFkUz9xJ49e3p0Hs+fP3/Uj0dEROR06zHetx8mNK6r4+IvToffU0/V4OEH18K2uzsp4vEgmhruRlNDDcrKq5FXUNX1sbIy4KwlgD/g9B8zNOaLnRml3LnsvPgpu2UNXt1aY45OGgiPElq9evWYf90iIiIiw+UzwbFlqivGMjyORJxzzr5xcWARSS2FxxOotra2x/uFhYUpud3zzz+/KzyOxWJ4+eWX8brXvW7Iz3vhhRd6vH/hhRem5PGIiIhMZe3tTmC8d6+z2B2nW7iQHENfdhkfOrwVLzyzliVUA9xCFIdr1yIzUIHKykosXuT0/vHzT9YBOTnA/HlAbi53JFum83jpEiAvbzmKCzeacLi/AJnB8caNG81tioiIiEw27oHMDJHHMjx2N5M0eSwyNhQeT5CjR49i165dPSospk2blpLbfsMb3oCf//znXe//+c9/Tio85vV6346IiMiZKBKxwX28e/axAoovSmxwjdsTJ4HaQ06HcUuL80LocO3GQYJjVxT+9DtQNnM9jhxxFnMpLACKi4HMTO5AtrC0ggvl8YVW9+J2VVVVqKioMCHxPffcg2AwaDqOWVXBUFnBsYiIiExWDHOJ1RXRsZw8jjoLAHOhPDVviqSewuMJsmHDhh6rf1522WWDroQ+HBdddJGZYj516pR5/w9/+AP+9V//FbkcaRrAgQMH8Pe//73r/WXLlqG8vDwlj0dERGQq4EQxJ4k5YXyw1gmQ29qcaeMDBzoD49aeC9/ZdhzNjfcmdfvbXtuCCy++HbPKPODBRj6fBS51wPoKrnc70HYAA+Lq6mqsW7fOVF75/X51HIuIiMiUCo/HevLYvS91HouknsLjUero6MChQ4eG1Q9cU1ODX/3qV13v88Xi+9///gGvz9tPnALmongPPfTQgNfnIncf/vCH8e1vf9u839LSgm9+85v4xje+0e/14/E4vvSlL5lz15o1a5L+ekRERKYq7sg9ftzpMN5/AAiHbXDN2drDwIH9APfDtgUH+/wQbHuQKySIxYJYOD+EvPxsLKmAOQUC1rDWNUhmDQMRERGRyYCTwB6PbcLj9o6xu59oBEhTeCwyZhQej1I4HMbb3vY2XH/99bjppptwySWXmA7C/pw8edJMHP/iF7/ocfmNN96I5cuXI5Xe85734M477zT1GG5gnZeXh09+8pNIT9gV19raii9+8Yt44oknui4799xzce2116b08YiIiEwGrJ+oPwWcOOGcjp/gArY2uF4sp4v3H3S6iBkgJ8OyOAUcMIvjDSU9I4A3XhvAvHnOiykRERGR0x3jkfGYPHZjDtVWiKSewuMU4KJ0rIbgKTs7G0uXLjWTyAxrOQXc3NxsFrB78cUXEXGXAe10wQUX4LbbbkOqZWZmmkNcGSLzEFf68Y9/jN///ve46qqrTMfysWPHzAQzH5+rpKQE//M//5PyxyMiIjIRgkHb9BS7YXFdvVNPwYNtWEFx6BAXsHUu7/UvekDsK55RCrDdqSDfAzu6Etu33T3k51XddAMWLjTLjouIiIicceExj/hKVV1nIvYpZ6U5wbHHox30Iqmm8DjFOMn7zDPPmNNQbrnlFnzuc5/rMQmcSuwtZj/ipz/9aTQ2NprLTpw4gV//+tf9Xn/WrFnm+qWlpWPyeERERMZSPG7jVEN3UMxTS6tTUNzRAdTVAUePASfrAO43bWuLIx4Pmelhy/IM+cJn1iygbCaQkwOEgk74zNurWLIaO3fUIB4feNE8HpXEBe5EREREzsTwmLjz3n07ldt/nDz2+tR3LDJWFB6nYML31ltvxVNPPYVXX33VdCAPhiuksxKCHceprqrozxVXXIF7770X3/3ud3Hfffd1TSEn4oT0qlWr8IlPfMJMTouIiEwF7e09p4oZCnOROy5o19LiBLuspWBvcWtr92RxOLQV9XUbzUJ37Cu2rABy81eiqHg1Mv2VXbefmQnMLnemjPk2b4ML6AWDAKuHeXleHpCRUYncnA34xc/XIBaL9hscb9y40Sx8JyIiInImYRexGxibkDfF4bFbh8GpY1VWiIwNy+ZxA5IS0WgU+/btw8GDB00lRFtbm7ksJycHubm5WLRoESoqKuBN9V/LJPHxPPvss6YHuampCYWFhWbxPVZnpHL6uYHL0YuMAA9hys/PN29zWl5/nmSq0HN37PHvQVMTusJihsKNjc4mDENhBses+ed0cWMTe4z5OX1vp6mhBodr1/K/dj/34sOCxdU477wqlJQ4L3aaWxhSO1UVuTlOWJyb60zR+P0WZs92AuaZM4Dt2181IfE999yDYDBodhjfcMMNZuJ4MgfHev7KVDWZn7uebduQd9llg16n6fHHEV+6dNwek0wek/m5K5Lq5+/hwzZqD9k4cBAoKwMC/tTWSgRDNg4fBubMBspnWSgrU22FpOa5O5UVFBSk9PY0eZzKb6bPZwJiniYjrtDOvmMREZGpsrjdkaPAwVqnm7itzdnA4wTwkSNOgFzfa6p4MJw4Hjg4NveIfbvXYsmSCjQ2VprplbxcYFYZwANzGCAXFFgmLOYLlOJiZyPUxYCY6w2wAopH+vj9XExv8DoMERERkdOZL6172rifA7RGjdPM5n58mjwWGSsKj0VERGTSYEDMBewOHnICYi5uxwqKPfuA48cGnyoeCqsqBg6OHewt3rfnDrzr3esRCDiLrpROdxbH45Rxbs7Q0ywMjLnDVkRERORM5/MyPLZgwe6qmEilaMQJp7nNljY2y0mJnPEUHouIiMiE4eFirJqoPeRMGNfXO53FbEDavYeHOgJNzSMLiyk/DyiZBhTkx3HXa/cm9Tm7d23BWUvXYe5cj5k6zsjQ4Y8iIiIiI+H2EHNBu1h8bCaPOXVMGQqPRcaEwmMREREZV1zU7vARmAljhsahkDOJwt7ivXudhe6am4d/u6zvZ1dxcZFTN5HpB7iObZCL3LWFEI0Gk7qdjo4gLrk4rOlhERERkVFyg12vZ2xqKyJRZ50K0oJ5ImND4bGIiIiMuZYWLpbiBMYMh1lHEQ47C+DtP+Asgsd6ioHYdhy2HYJl+WFZTo8w14EoKQYKC4EsUzHBRVOAYNBZ6K6lFaZ6Ir8AmFnmR1paAJHI0AEyF7pjX7GIiIiIpCg85uTxWNRWRLkIn7MdmJamo8VExoLCYxEREUm5eNw2k8Smv7iWNRROHQUXt2NgfPAgUFfvvD/UInfsKm5uuhd2PAivN4AFC1fiwotWIy+/Em1tMCE0T5w8ZtVwQb5zzvyX69n5fBZKir246qqVeOCBu4d87DfccIMWuhMRERFJZXjsTW6B45F0HvtyNXUsMpYUHouIiMioQmJO+vLU1nnOUPjQIQa6tpkGYQUFA+NDh4GGU0BrW3K33dJUg0MH18K2u49xjMWC2LnjbuzaWYPXv6EaK1ZUmaCYE8buoYq5uRamTQOmlTg1FoUFziIqs8vX4q9/rUHUXZa7Hz6fD6tXr9YzQkRERCQFuA3m9dpm4bz2cGq/pTySLW47tRUcIhCRsaHwWERE5AwUj8cRCoVMPYOHx/n1o6PD7gqETW9wCGbS1w2K3alfLnrXfbtAe3tnYHzCqahobHKumwxOpXCRukDmVvz2Nz2D40S8/K8PrcX55y/B0iWVJiRmYMwaC7+//0MWKysrsXHjRhMO9xcgMzjmx3k9EREREUnd9LHHC0RTXFvhbs7x9tM7hwhEJPUUHouIiJxBXnnlFaxfvwG///29CIWCyMwM4OqrV+KGG9egdEZlV1DMcJgL2/XeQOfhhjx1dJ6bU4ezWAlDY4bJDIubhhEYc4OfgfHs2UBOttN9fN+fNyIeH3xVFX689sBGfP6zG5L++quqqlBRUWFC4nvuuQfBYNB0HLOqgqGygmMRERGR1OK2HgcEOGTAo9Y4jZzy8FiTxyJjRuGxiIjIFBON2ujoANo7OB3c88QAt+ttnrd3X++Jv9fgzp+t6RHKhsNB/PnPd+Mvf6nBjTdVY8nSqh6hcGJIzEVOuoLjjs73OwNl3i9PyS6Ewo388lnAnNlAbp4TGDNw5sRyIBDHodp7k7qdLVu2YP369cPqKGZAXF1djXXr1g05fS0iIiIio8NaCdZWUCzuLG6XqvDY6tyuTFN4LDJmFB6LiIhMMuxva2gE6k7CLDrHULU9IRjmx/vD9giGt9yQ5nni6ejRrbirV3CciJf/tmYtrr6mAlnZlT2CYQbQ4c5weCi2HYdth2BZflhWz1cG7CQuL3cC44ICJyhubHQmlTMzgdLpzuWwQ4hEgkl9rzg5zAA4i8XHw8TAeCSfJyIiIiLDnzymeCx1SRS3U73mtixNHouMIYXHIiIiE4h9wZy6ZUh88iRQV+csOMeAmGFwKAyEQ05HXFcYHO31fueJhwL2xsv4saefHLoGgj3Czz9/B8rK1w/76wiHtqK+biOaG++FbQdhWQHk5q9EaelqLF5SiblzgKJCJzBmMN7Q4ITJhYXOgnZ+P5CRYWHuXGD+3AC+/rWACYaHwsoJTg6LiIiIyOTkS+sOj5M9Si0Z3B52u47VeSwydhQei4iIjKNQyDZBcV1nWMy329udSWJO9rqL0fE8FOoOhHl4n9fjTBebQNg9dQbJ0YR6CdZKuBUWnELmNPDBA8nVQDQ3bsHMWbf3mRoeTFNDDQ7XruUmfNdlDJCbGu5GS1MNFi2qRihUhZ27nBcO+fnOBDL7jb1ey3QdL5gHlJVxMoUHH3qxatUqbNq0acj7ZlexKidEREREJi9WVrjhcSoXzeN2L4cRyD0XkdRTeCwiIjJGuOBcfX3nVDED45NAS6sTFDPUdUNiLlAX5HRxZ/bKjWuGv/x4S3PnQnSdlRUjwRoJhrnJXTfYWTsxcJ0DN87Z9pCdxdB6K7a90jM4TsRp5z/cuxY3v6sCixZVIjfXCYxnzAAWzgfmzOECJ30XTVmzZg02b96MqPtN6YfP5zOL3ImIiIjI5MVtRy6S5/HYqZ08jvIoNLcWIzWL8IlIXwqPRUREUhQUNzbZ2LPHxsmTznQxqxlYS8FJYRMSJ0wVu0Gw2wHHyeHmVuDUKacHOJWc/uFAUgGy5QkgO9tvpoIZELshcVZ299tczZpfE6c9fnX3RlN3MRh+fM/uO3D99dVYuACYP48b+taQi9pt3LjRhMP9BcgMjvlxXk9EREREJi+nl9g5ko5HzaUCt7G5icipZm6bisjYUXgsIiKSJNZLsLOXHcXNLd3nrS02YvGQuU4oFDd1E11TxUEgHHbqJrjB7M90pi8YvHIhPIbMvJ2xxAoK9g+zRmIo5527Cu+62dMVDpv6iw7nnF876zb4Nj/GOoxXtyZXh/Haq1uw6m3rh1UxUVVVhYqKChMS33PPPaYDmR3HrKpgqKzgWERERGTyY8Brzn1O7VoquPUX3K5W37HI2FJ4LCIikjDBwLDXBMSt6BMUu93ExEkHt1eY53E7hvawjaZmZyrXsoDMTGchOG7UtnZOFR8/4XQZjxYnLDIynPvIzOh+u/e5+7G6utVY972aQRfN83h8mDPvVmx91QmHE5kNc95nutNV7Ex4hBCLJVeHEQoFEQqFkMXx5WFgQFxdXY1169aZz+fieOo4FhEREZk63D5iHm2XqsljHrXnBtJpmjwWGVMKj0VE5IwSj9s9J4d7BcWxWHdAzFDYDYjbE4Jinif2tXGjNTvbRkaGhenTnEnjxiagthY4ccJZwG64uDheSQkwfTpQUJAQBHeeM5w2C+bFnI1wc86F8zrPeeJjDQXd9ytxxVXVePSva/utmbAsH656fTVmzqw0wXDvE+/P5fdbyM5m9UQAGRkBtLcPHSDzugx+R4qB8XCDZxERERGZeNxWdrdvR7qGR2+Ja4WotkJkbCk8FhGR01YoZONUg9M9zKlfvs0+YTcg5oRwVy1DYkDc+TarJshUTnCVaI9TPcFD77gRzMt5Yjjb0MCu45iZLB7JQiA83G7aNCcs5qmo0HksDLZNDUabE3BzQ9kNhwfCjWj35K5uzYmMc8+rwpw5FXj+uTuwY/sWRCJBpKUFcPaKVbjyqltNcJwYDvPEKePsxFMWp0fcJNmLt799FTZt2jTk18eqCU0Mi4iIiJx5LMuCz2eb7uNoCo7Ao0jU2S7nQnmqrRAZWwqPRURkyotGbdMf3BUUd4bFDI/dkJjTwKyOOHHSOQ93hsQmiI0D8Rhgd17XjndP8bK+IbkweHjH4HEId3pCWJyf59wXw2JOQB8/7twvg9+A31lohFMVbhjM9xPDYfO2z9mITpwSTpSebmHJ4uW4+upqpPnWwfKEUFToR26uZ4BweGhr1qzB5s2b+13ULnFxO3YUi4iIiMiZyV0kmtvcqcBNz7TOREuTxyJjS+GxiIhMuU5iNxx2g2IGx6yjIE4Mh0POtG4w5Czwxuu0cmG7tu5p4tQ/tjhsOwTL8psF6nrLyekZFufmOBu9blh87KhTb8Hgl+0M00qczwkEusNgTm2wv9itknDfZg9xn8tYcZFwGbvmPJ7EUJgrl2SP+utmJzEXtGM43F+AzOCYH9fidiIiIiJnLga9HHrgJju323tul46s89iX1rNTWUTGhsJjERGZtNPEXVPEnCjurJ1wF63jVG4o3B0U820TGAedyWJzauvuQxsr4dBW1NdtRHPjvbDtICwrgNz8lZg3fzXmz680QXHpdCcE5mPmY2KQffSI85iJfcZ5+U5YzJoITg9nZlqYMYOfG0d+XgiFhX7TqcwAebKpqqpCRUWFCYnvueceBINB03HMqgqGygqORURERM5s7lFzxG1ibu+OBrfxM/3OkIXCY5GxpfBYREQmjeZmG4cOw5yOHWONgxMUs3KiKyjuDIndxTZY9dDOSoo2p8+YdRRjyd1A5URvU0MN9u3uuQAdA+Smhrvx8gs1WLqkGtOnVZmu4sOHgbagM/nMz2dQPG26Exbzffa1lZYCM2cAM2cyXN5qwtgtW7Z0hbGrVq0yNRGTMYzlY6qursa6desQCoXM4njqOBYRERERcrZ3u8Pj0Qa+7DzO9jm3MxmHK0ROJwqPRURkwjAcPnrUCYsPH3HCY4arDIJbmp1KBwbH7CEmbhyyL40LyTU1A/X1TuXDcLHb16154AIbaZ3nfN8Nhgf6GO+f26dHjmzF9/67Z3CcKB6PYtMv1uL6t1SguKTS3GdZmRMWc9KYG7lFRUDZTCcsZk2Fz+ds+NbU1PSpgWCAzIXp2C/MUJnTvpMRA+Ms9m6IiIiIiHRy1+mgkSwunYi1F3x9wCoM1rSJyNhSeCwiIuPaWcyuYgbFnMQ9foIbj7YJg5tbGB47dRPcGGRIy+nc3FygrdWprKg95ATGw8Xb4FRvXq4TAkc6nMXx+swodF7AzJanoHtxP8MMjz6y0QTEg3+9URw5fAde//r15jZyc62uyWKes4ait61btw7YH+w8tqj5OGsiJuMEsoiIiIjIUJPHo+FuJvP1Agc9RGRsKTwWEZExFQ7bOHKke7o4GHQmBTgxzBNDY4bH7kJxXFQuZgMnTwDbtgMnTnRPHifL73fCWfYNc+LXhNPNTsUFN1wLCvsJhBMW0uuxpp7d/+J4B/bdm9Rj2b5tCy67dB1mlXmQkzP0IXUbNmwYMDh28eOcPmZNhIiIiIjIVOg85pF3Ho+N6CjDY27Tu+ExB0NEZGwpPBYRkZTiYWQn65zJYgbGdXXOxDF7ihkUs46CtRSsp+DGHqeCGfSyy7i2FnjpJaeuYjhYK8HJ4hmdgTE1NTmBMRfQ42J1vI/8fLeSwjIhMh+DK/HtRP1dp709jGjUnUseXHt7ELPLw0lVOcTjcdNxnAwuTMd+YfUKi4iIiMhUqK0gTh+nYvKYIxmmbm6U3ckiMjSFxyIiMmptbd0L3XHKuKPDNhuFDG9NYNziTAhwVWXT/TvTOWeFxYGDwMFaZxG8ZHGjkxPKDIt5ys9zAmcumMcAmiFv78DY77cwZzYwbx5QOp2PZeQLa8TjAXzpiwHTQzwULnTHxeOSwYXmkrlN4vV4ffULi4iIiMhk5y6Qx2nhVITHnGRmhKzJY5Gxp/BYRERG7MQJG8+/yCljZ6E75p5ud7GbgfozgYICIDeHHb8wC+SxjoL9xR0dyd0PKyaKi4EZpU4gXDLNmTbgonkMjDnlzPvP6icwnjsHmDu3OzDmdC9DVwa6I53a5eetWrXKLGA3lBtuuCHp++FjYtic6lBaRERERGQiMTQmryc14bEbRrvnIjJ2FB6LiMiw1dXZeP4FBsBOHQV7iRnkckOQU8Fc6K64yDln08OhWmD7DifkTXZjMTsLKC93wmBWUjAM5ueyjuLgQSeg7gqMZzrTx4mB8by5ToWFO2HMhejYJ8xaCIazDF8ZAK9Zs2ZEC8/x8zZv3jxoP7HP5zOL2010KC0iIiIiMpH4GoEDIZwYjgzjiMP+RKLdNRgKj0XGnsJjERFJ2qlTNl54Edh/wEY4DBw7BjQ0OqFtSYkzXcy6CPYXM+B99nln0nigPuHeODHMagme8vPjiEVDsDx+tLR40Ng0/MDYVVNTY0LcxKCXATJDWgbAXHyuqqpqWM8EBs78vN63mxgc8+PDDabHIpQWEREREZlIXCzP57OdzuNhLobdGzeTMzOdQNrnG3kVnYgkR+GxiIgMqbHRCY337QfC7bYTGjcAaT5nOriwgL3HzscPHABOnEz+m8o6CjcwzstjZ/JW/OW+jXjl5XsRiQTh9QUwe/ZKnHveaixYWNkjMGZYzNC4v8DYxYnjgQJe4uX8eEVFxbCDXgbO/DyGxFzAzp1o5lQwb3MkE81jFUqLiIiIiEwkvnbgxPBoaiu4ELeprfA5rwlEZOwpPBYRkQE1t9h48UVg9x6gnaHxcWeRO3aWcdE7Thnv2g08/jhwqiG5byQPV2PY6wbGWVndH3v6qRrUbF6LeLw7NI1Fg9i3924c2F+D9//jBlx9ZZUJjadNS27RO1ZVDDbFS/w4A9nq6uphPxsY4vI+7rrrLtOl3N7ebiYrRmMsQmkRERERkYnEygpOC/NIwliMU8jD32Zm8MzP5+sRhcci48OyudtGJIUaOI4oMgIM3PLZW2AmXRvNXmWZGK2tNl58Gdi1ywmNjx8H6uqdjb3p04DcXODV14DXtgGRSBy2HYJl+WFZ/XfwcmEM1kwwLOakMg8zc8XjTo/xjh1b8ZvN18K2B69reOihh5IOT7k43uzZs5NegO7gwYMj6hEey+duKhb4ExmM/vbKVDWZn7uebduQd9llg16n6fHHEV+6dNwek0wek/m5KzKWz19W33Gh7UOHndcF6enDD49DYRuHDgGzy4GyMguzy1VbIck5k/72FnDF+hTS5LGIyBkimRAyGLTx0svAjp09Q2MO0s4odTqJd+4C7n8QaG7aivq6jWhuvBe2HYRlBZCbvxJFxauR6a80i1fMKgPmzHHOey9mwc7k+npnYpmDwS+/tHHQ4HgkE8L8epMJjp2vPWiun5U4Cj0J8Gc12R6TiIiIiMhwsbKCwyg00uoK94BCTR6LjB+FxyIipzl2/rJWYcuWLV31B6tWrTILs7kTvKGQjVe2OpPEHR02jp8ATp50QmPWQxQVAXv3An99BAiGgKaGGhyuXcvNt677YYDc1HA3mhtr8Kbrq/H611d1bRwmThlz4TuGxq2tzkYf+5ILCuL49d33JvX1sMZh3bp1SU3hMijn15vs5DGvLyIiIiIiqcdt/1GHxxEOV/B2LKT3Gk4RkbGh8FhEZBLh5O/2Hc7Cc6x6yMlJOGU7dREcQk22H6ympqbPwmsMUjdt2oTNmzfj9ts3YOGiKhMah8O2WeiOoTGP4CkpAUqKgdpDwJZ7gZYW5/PDoa19guNEnB6+/761OOusCsycWdljyrj+lLOhmJ3tLHTHBfLS0iyUTg8j0pH6CWEGzAzK+fUOhX3CqoUQERERERkbvrTUTB4zhCZ1HouMD4XHIiKTQH29bTqE9+5jh7ANVoczwM3IcDaKeHLXYGNXU3aW3TNYzgFyO88zMqyuiePewXEiXv7Rj67Bxz6+GGlplWbamJPBDIwZHJ84Afzxz84CeT0ea93GAYNjFxe8e/Svd+BN1693pozbnI08TjAXFzlfV36ehYoKYOECfn2BMZsQ5oQ1g/LBFs1jlzK/VyIiIiIiMna1FYAFr9cecXgcSQiPe9fiicjYUHgsIjJB4nEbtbXOwnNHj9no6ABO1jkTutyYYljsdvjzbW4cZTBIzrA7z533GcQm1kMwaGaI/NOfVA8amDqPIYrf33sHLrl0vQl2S6c7HcQPPAgTJvdm23HTcZyMF1/agsVLb0dujsdMGbMv2eezMG8uULEYmD7dCcI7v8IxmxBmNQd7kgcK0hkc8+PJLsInIiIiIiLD54a9DJGjo5g8zsxwXh9p8lhkfCg8FhEZZ+wU5qJzrIpoabHR1gZTF9HU5GwEcU86N4gY5gaynF6v9g6go905D4W4OmzPQ70YHqd3BskZ6TbS0uP4++PJhbwH9m/BB/7pdgSDHjzyqFNTMZDCwpDpNk5GLBrEooUh5ORkIT/fMoHxooXdk9HjOSFcVVWFiooKExKzM9ntfmYQzdtTcCwiIiIiMrbciWG+dhlVbUWWE0R3D6KIyFhSeCwiMk6aW2xs2wYTHLe32yYAZmjMpgaGvuwz5seOHInDtkOwLD+8Xg8KCoCiQidM5nnBLGfDixtOnFZub+88Z8DcATQ0AqFgCJFIciFvNBrE438P4WDtwB3C+XnAeecBs8r8ePqJQFL9xKyiWLEigKVLLEyfNvTG3VhPCPPzqqurzWJ77Exm9YU6jkVEREREpkZ4zCM3+Xm8HU0di4wfhcciIiMUj8eHDCFt28bx4041xYGDDGpt1NU59RSRiFMvUV4O7NkDPProVtSd3GhqITjda1kB5OavRLBtNerrK4Fdzm0yg2UFRGFhz1A5sfMrGvXjN5sDSQXIlieAAwf9XZ3KibKzgHPOARbMd1Y1Bjw4++yVeO7Zu4e83RtvXIXXX5XQpzFJJoT5s0pmsT0REREREUkdLvrt8dgmPObgy3C58yV83aO+Y5Hxo/BYRGSYuBDdhg0bsGXLlq5wk329rF1ww81YzDaL3zE05mJ44bAzZewuhMfglwvHHToM3P8AcPxoDQ7Xru2xEB0D5KaGu9HUUIOy8mrkFVR1Xu7cDk8MnV2cXO4Okz1YVrkSL74wdMibm7cKltUz/M7MBFac7XQTJ/YpM/BesnQ1nn+uBrY9eL0EF+MbCU0Ii4iIiIicnjg1PNLJYzc81uSxyPhSeCwiMgw1NTV9ahUYIHOhN/b1fu97G7BkaRW2bWc3sY3mZic0bmlx9o6zvoHhrlmU7iFncbxwaGuf4LinqPl4RmYFMv0DT97yvnjat995PxxaDcsaPOTlv4Gi4lu73uNjrFwGLDur5958hsYnTgB19YDHW4k3v6Uaf/7TWrPg3lgtQKcJYRERERGR0zc85lGaw+kt7hEeJ7xWEZGxpfBYRGQYE8cD9fESL//Yx9bgYx9fjMzMSlNNwYnjQACYM9upmuD7TzwJ7Nnb/Xn1dRsHCY67bh0tTXcg078+6Z8Xg+aZs6oHCaZ9ZqKZ1/N6gKVLgeWVztRxf6Ext+umTQOmlbBj7B14y1uW4JG/bsQf/tA9ga0F6EREREREZKjwmOLxnkc5DiXCxfK8zloqqq0QGT8Kj0VEksSqioGCYxcnce/dcgcuuXS9CYvLZwGs1+WG0dZXgZde7t5jTrYdNx3HyWhs3IKPf+J2NDZ5zMTyqVPO5DIXyGOVRX9YdcGJ5fq6O9DcuCWhS3mVmTj2ByqxaCFwzgrncfYOjRmAs+u4OzS2sKQCOHs5Q/Hl+IdbNiAeX68F6EREREREZEhpCeExXxcNJzzm9X2dE8daME9k/Cg8FhFJcnE8dhwn4+CBLfjAB2+HP9NjQt3aQ8DTzzjVFb3ZdsgEusmIdAQRjYYwfVqWqb9wRWMMlp0g2ZxOAQ2ngFjc+Tgni8vK12PmrNvN/VkWF8fzYO5c4LxzgLy8hPuIAMc5adwZGk+f3l9o3PPQMtVLiIiIiIjIcCeP3dcryYpGnM8nhcci40fhsYhIEkKhkKlmSEY0GoTXCqGxKcuExocP9389Hmp1zgo/9uwIIBIZ+ra93gB27PSbWomcbCArG8jOcjacuPgeTy5OOjc2dU8nO6GyB9FoFsrKgPPO7Xl9Exof7+w0TgiNMzKc0Jh1Fr1DYxERERERkeHg5HBXeDxUc18/k8dZGc7n+3x6bSIyXhQei4gMgos4cBL3la2ZSEsPmOnfoaSlBfDCS36zaN5AdRKLFzkBrt/vQeXylXjh+buHvN0VK1Zh3lwPWluB1jYn6CWGx9mdQTLP+T4D4MIC57Rwgfu1OHv32RPm6uhIWAjPA5ROB0oUGouIiIiIyBjgaxGv14IF2yyaNxym89jXc2FvERl7Co9F5IyonODksN/vNxULyYjFbOzbD7z6GiscbITDFhYsWInt24YOeXPyVuG1bf3fD4PZSy7unvplEFxevhovvlAD2x5417vP58OHP7IaWVmWCXrjcdvseWeIbMLkVmfKmLgxlRgmZ2Q4i93x5AbHDI0Zitf3ExovXQJULtOksYiIiIiIpJYb/Hp9w6ut4OszDsMwPFZlhcj4UngsIqetrVu3mkXu2FXMyolAIIBVq1ZhzZo1qKys7PdzQiEbO3bCTA0Hgzaam4GTJ4HmFmDh4tXYuaPGLIo3MB/yC27tc6nfD1x4ATB/nhPicsOHNRFHjwGlMyvxzndV49e/WtvvbTM43rhxI6qqlpv3IxEbJ05aOHYMOHbceXzcmOKee4bJba1AS6vTg+xuYLlhMh8HF9jrCo1LgZJihcYiIiIiIjL23M5ir2d4tRWs2XPD53RNHouMK4XHInJaqqmpwerVqxHleG4nBsibNm3C5s2bO8PYqq6PNTTYZsp49x4nnOUU78k6IBx2Atc5s4H8/ErkZldj0y/7D3n5J7WsvNosUOdiQLvsLGDF2d172bnhs/+AMy3M8JZTvzNnvAMf/Kcl+MlP7sA999zTFXbfcMMN5utIDLvT0iyUzYQ5UTRqo67OMkEyTwyleRl7j9vcyeQ24PARJ0xmR1hiaHzWUmfS2O9Xb5iIiIiIiIxDeMzJ42HUVrgv6zR5LDL+FB6LyGk5cdw7OE7Ey/nxxYsXIy+/0oTGR47YJtTlFG/9KWfjJC8PKJ8FZGU508J07nlVmDa9Ag89cAdefW0LYtEgLCuA3PxVKCq+tUdwXF4OXHQBkJvbfd9NzcDBg87tLVoI5ORYOGcFF85j0LwcF15YjXXr1g2rZoOLRZgQutR5n1PI9fU9w+SODidMDoYAf6ZCYxERERERmcDw2Ns9TZwMvj7jayj2JavzWGR8KTwWkdMOqyoGCo5d/PjnPr8RN1WtRzDoLBrX2ORMChcVAsVmKte5Lqd1TzXA1EQwiD12vBJRrMfipbfDtkOwLD8sqzvkzcsFLr4IKCvrvj8Gt0ePAidOOmEyJ5nz8ixcdQUwY0bPiV8GxllMrEeIG1TTpsGczl7u9CM3NDhhMvuSc7Jheo01aSwiIiIiIuPJ47Hg9dpmLZb28PAXyyN1HouML4XHInLaLY7HjuNkPPvMFiyrvB3BkMcExayBKCx09mg3NDgVFiYwPgG0t/f9fAbGltUd8nIPOCeIGcxyT7qLn8uailDICZSnlXAq2cKVlwOZmda4bKAVFcGcREREREREJhJDYI8XiA6ztiJN4bHIhFB4LCKnFdY9sC84GZFIELF4CHPnZJk92ZzMfenlzpqHYRxCRaygOP88px85EUPo2kPOBtLiRU5NxQXnOz3IltuFISIiIiIicobgayMO2/DoTB4lyWGXoUQj3RPHqq0QGV8Kj0XktMKeYC40l0yA7PUGUFvrx3PPdy/AMByBADCjFFi61Fl8LhE3hA4dcvqTCwqc7uSCAguvv4qVGAqNRURERETkzMQJYtZWUCzuVAcOhVPKWWlOcJxM2CwiqaPwWEROK/G4hauuWok//enuIa+bnbsKR44msaXiXj8bKJ3eeSp13u9veJj1FKyp6OgAZs92OpQXLrDwuku4t1wbOiIiIiIicuZyJ48pHhs6meJ0Mod9vD71HYtMBIXHInJaaG+3sW078No2YMlZq3HffTWIxwcbJ/ahqPjWQW8zJ8cJid3AmGHxYLiwXn09cOgwu4yBisX8HAuXXgIsXKiaChEREREREV9ad3jMUNhdqHwgsc5uZE4dq7JCZPwpPBaRKa25xcarrwE7d3LS18apU0BjUyXOOa8aLzy3FrbdX4DsQ1l5NTL9lT0uzcvrOVnMWopk8TCq2lqgsZG1FM7ieyXFFq6+CsjP17SxiIiIiIiIeTXm7Q6PWVsxFK5P435eepq+hyLjTeGxiExJdXU2XtkK7NvPhe9snKzjZUBbG3DiJBDuqMK8hRWor7sDzY1bYNtBWFYAufmrzMQxg+P8/O6gmOe9F7tLFu+TNRXcIz5vLsNi4KylFi68gIdkKTgWERERERFxub3FHo/dNVU8GHd9GtZduIvmicj4UXgsIlOGbdumEuKVV4Cjx2y0tztBMaeNudHR2ORM/3KxOmJAXFa+HjNn3Q7bDqGoyI8ZpR4TFE+f7lRLjARvn/fHU1MTH4szpbxoIasuLFx+GTB3jkJjERERERGR3thdTFwoL5bEwuXRiDOpzMA5TeGxyLhTeCwik0o8HkcoFDLnVudqdLGYjb17gVdeBRoa7K7pYlZEcCOCC9Pt3gOEw/3fZlGRBxdflGVCY/YSu8FvMOgcJuW+z1O885w1FIkhceKJt5Fo+jRgxgxOMFu4+kqn51hERERERET6SvN1TxInU1vByWNelzIUHouMO4XHIjIpbN26FRs2bMCWLVsQDAYRCATw1reuxJuuW4OOSCWCQdtM+TI0bm11FlXIygK2bwfqT/V/m5wsPu9cp4P4xAng+PHuqeT+cM83T24Hl3vioVG8zJN4ucc55yFXmZkWVpwNnHuOszdcRERERERE+ucGwXw9lczkMTuP3cBZC+aJjD+FxyIy4WpqarB69WpE3TIrcCo4iF//+m7zsbetrEZxSRXC7U5gzMoJLpDHvuP+MAA+aymwdAlw/ARw8KDTQ1xU1Df8TTx1Djr3wQlobqRwLzeD5LTOc5542bx5nD5WaCwiIiIiIpJseMwBHVYRDoUvEwN+53VeWpped4mMN4XHIjKhXnnllT7BcaJ4PIp7t6zFO95VgcWLK7FvH/DkU059RH/KZwEXXABEOoA9e51QeP48IC+PJwuZGc7eajf8TTwlXp6R8D7P3QoNERERERERGTm+tvL5bHNkJ+sCk+k89uVq6lhkoig8FpFxE4/bpqeYNRNc5K6+Hvje9zYMGBy7bDuKl1+8A/sPrDd9x/1hOHzxhUBhobNoXlvQqauYOcNZxO7SS4A5WsRORERERERkUkwfc9CHa84MhuvfxG2ntoKDPSIy/hQei8iYiERsnGroDIk7g+KGBuefP/HwpGAwjheevzep29u5YwuWVN4Oy/L0uJwbEOwaXrwIOFkH7NjpTA0vWgRkZwFLKixccD47kjU5LCIiIiIiMhkwDGZtBYNhDhkNtHaMO2fEsDk9bXwfo4g4FB6LyKiFw7YJh92QmIFxUzMnhm3YNj8OBENAKOHE2oloJIRoNJjUfdh2ELYdgmVlmffZIlGx2AmOeajTrt1OIM0+5OnTgIICC5dfCpSWKjQWERERERGZTLydk8fE14bsMx4yPNbksciEUHgsIkNiCMwAmFUQba3OeUtLHMdPhNDa6kcoZHX90w+FgVDQCYgZGPPzGCBTRoaz0EHuNMDv5/t+/PY3AUQ6hg6QLSsAy/Kbt0tLgYsvAvJygaNHnYnjrACnjIFAwMLZy4EVZ3MDQ8GxiIiIiIjIZMN1ZRLDY74/UHhsdYbHXLhcRMafwmORYao/FcNrr4Uwo9SP2bM9SE+3pnww3NEB0yXc2gYEO88Tg2J+zK2bOHJkKx7960a8/PK9iESC8KUFsGDBSixZuhpZ2ZVdU8GZmU5QXFQI+AOAP7N746CbB8uXr8Tzz9095OPMzV+FnBwPLroAmD0baG4Btm93po7LyoBpJew4dqaNi4qm9s9ERERERETkdMbKisTweCCRiDOlzAhZk8ciE0PhsUiStm7dig0bNuA3v9mCjo4g0tIDWLFiJW5+xxpccWUlZpc7U6+TTTRqo6W1ZxCcGBTzMvYTuzglzH/QHREg0tF5zvc7gO3bavDXh9aaBey6bj8SxI7td2PXzhq8bVU1LrigykwY9z7siJ/PWoumJqCxyTk3p5bVAGp4S4N8FT5cfsWtuPxywI4DBw46/cm5OUB55/f9/POAs5byfiffz0BEREREREQGnjweCIeF3K5jdR6LTAyFxyJJqKmpwerVqxF1C5e4B7QjiGefuRvPP1eDd91SjfPPfwemTbMxZzbMKTd3YkLM9nYbx08Ax48Dx44BdfXOAgRdj7szCO4TECcExYn4D53/2JubtuKRh3sGx4ni8Sh+v2UtZs6sQKa/siscdoNi1lj0JyOzEmXl1Thcu7bfANmyfKh6RzUuurjSBMaHjziX83tcWAjMnGnhsksZJCs0FhERERERmQo4TWxZFjwe2wTEA+HrU7fSYqBqCxEZWwqPRZKYOO4dHPcOTTf9gqFqBRYurDQdvE8/4wSbbpDMt/mPcSyEQk5YfPQYcPwYcKrBqaLgP1n2Ejc2hhCJ+hGNesxlbv8wcTqY/4B5+E9GJpCT4/RIcY+ue7m7N3jTLzear3Uw/Pgvf3kHysrXD+tryCuoQkZmBerr7kBz4xazOJ7HE8BZZ63CG6+7FUXFldi716mqKCgAZpUBWVkWLr4QWLhw7L63IiIiIiIiMja1FebcN8TkcZRHmjrX83r1uk9kIig8FhkCqyoGCo5dnMZ99pk74PGuN4Es6xRONdg4eRJ44UUgJ9vC7Nk25s4Bpk3rv1ohHo8jFArB7/fDM9BSs2DlhI1jnVPFPG9sdNLgdvYWt8JUVBw8sBWvvLwRBw/ci1gsCJ8vgEWLV+LiS1Zj1qzKroCYwfBguSv/iXPat6ExjhdfuDep5wrD35mzbodlDfw19KewsBLz5q9HYUE1ZkzvQNksr7kNLobHbmNuLMyf7yySN3+eZRbMm4w1ISIiIiIiIjI4d4qYr0kHCo85FMWX4gyaVVkhMnEUHosMgoHuli1bkvoeHTiwBe97/+1oafGYmoYDB5xgNjsbyM+zzUTwq69xITkLs8ttzJkDzJzBYPRVE1DzfoLBIAKBAFatWoU1a9Zg2bJlJgw+3hkUc7q4pcUJi8NhoLXV6S7muVs3ceRwDR7969oeU8LRaBDbXrsbO7bX4N23VOPc86p6PHYeJtTMiolGp2bCnDc6k76cVI7HQyaETganhm07BMvK6vMxfj8YrOfldZ/yO8855cwJ4kyutIdMNDSEcPCg08lcUsx6Ck5GW7j0Ei6Y9/+zdx/wkdz1+fifmV313k663vv5bN/ZPhfcGzZgMAbTQk0AYxICgV8g4U8CKYQUCAGMCYQ0SkzHptvgbtzb9d7vdOq9bpn/6/l+d6TVaiWtdKuy0vN+veZW2lvtzs7Ozu4885nP10lpXkRERERERGTmYXEQBdyRw2O/nYV/VqyITA+FxyKjYCUwA91UsAdyMNCD6uoCVFfbMNfv93vyFHDipD3dhkEyg9n9B4Dt23+M7377TkQig0EvH++ee+7BD37wQ7zjXV/Fhg2vj81LLCyOBcY8AsswNj/PtnIoLADa23finu8MDY6Htdj4vw+iP7wWweCmgbC4IxYSj8Rx8uA4+SYYHgtvl5WVh7LS4SEx22L4bTBGwv7MtbVRHD8BM/DemtVsUQGsX+fggq380qDgWEREREREJJP5Z8Gy93FohPFxwqHBoJlnz4rI9FB4LDIKtpBgJXAqAXJWVj7cQF7c77ZilpNf2dvWbiuIT9eyxcRO/OzeO0cMehko/89/3YnXv3EN8vI2maOx/HAtyAcqKmxYzFA1Poz91S9T60v8wP3j60vM9hHFpa9BW8v3xrzt5nNvwdve5o7aDsPHAJwV1D299rK3l6clhc1zramGCeHLSh1cdhl/V2gsIiIiIiIyG/Cs02DQs20roslv43eP5G1UeSwyfRQei4yCvYfZQoKVwGPJL7wF93zfNYEng8/5NXagPLYvZo8m/swpGrWVvj/4QWpB7/aXvobX3PIV0/6ClcuJ7ZBZMcz2Eo2Nk9eXmI+7bv0H8MyTPzL9nUfiukFcc+0dw4JjPueBkLhn8Ge/1QZvzyrjvDygssJFWZkL141g8znAuZt5pFnBsYiIiIiIyGySFbT7yiO1rQiF7f4vB8pTz2OR6aPwWGQM7D38wx/+cIxB84KoqLzDhKEnT9rJrz5OFiYXFUVx+FBqQe+RI/dh3rwvmSDbBMXtQGMT0NQ0eMnHTUdfYlYyl5baFhPmMvazPcq7CSuX32XaXiQLvRkcv+nNd5mB7zjIXnxFcV/f4O14XwyJuSzycu3PDI4ZIPPoc0VFENXzXKxd02/acYiIiIiIiMjsw5YVrCrmfm4kwirkoUVD3AVnwEyqPBaZPgqPRcawadMm3H333fjABz4wQoAcxMLFdyE3b9Ow/xkpTK4o7zE9klPB2z39TA9a2wrQ3AT0x6p1z6YvsevmY/Fi25c4PiT2R7wdCQfaq65Zi0cf+Rq2v3wfQqFuBLPysWrVLVi3/g64wU3Ys3ewLxWD4ZJiIDfPBsUcC8+vnM7JcUw4zHkwl2VAeZmD6mrb+qO1tceMrisiIiIiIiKzD/c//TaMrD5OHB+HPY+DsX3UsfZVRWTyKDwWScFtt92GtWvXmhD5Rz+6F/393QgE8rFq9S1YuOgO9PRuMv2Mx+KHySdOjG8Auj17efv09SU+f8stuOG61FpWsOUEB+tjFTEve3s2YcOmr2DNui8hEu5Bdk4e8vJcGw7HhcT+6LlsOcFwmiExq439sJjBMiuNhz4HtacQERERERGZC9iyIj48TsTaLe5jcjdR4bHI9FF4LDKOCuS77roLl77iS9i/rxvtHXnYtGkwgOWYehwM78wZO40WJo8n6C0uvSWl3sQMbDds+ACe+v3YfYmvuPKOYdezyJfhtgmK48Jiv+XEQF/iXKC4mOGvi9zcgoHTh1zXQUlJXCVx7JK9mvl/IiIiIiIiIj4WHI0VHvM2DI5VaCQyfRQei4wTew9nZRcMqwTmoHIrltsplTC5ovIDaGv5ET8Sx+ylnCworqjg4HKDl3x8x9mE5ctG70v85rfchZqaTWb+uk0l8WBQ7H9g8wOclcE2JB7ecqKgwLEDAJYNBsW8rQa2ExERERERkVSwJQX3PZ0k4XE06iEStT2Pc2IFSyIyPRQei0xQ1Bs8EprMWGEyB6Bjr+RTJz44QoBseymXlm0aEhRzKjBBcep9ibOy8rFm7S3YtOkO5ORtwsvbB2+fm2NPBaqeN9h2wq8m5oAFthexDYkrGBiX237FIiIiIiIiImfTtoLRsRvwhoXH/nBDpvJY4bHItFJ4LDIRjv0w27HTBq0MivPz7CUrdZMFysnD5Nuwb+9a7Nj+NTQ23Gd6ILuBfCxZegsu3nYH1q7fNGpQnNibuLfPVhB73iZsvfArWL/xS+jv60EgmIdg0B2oIs6bZ+czvpo4P98x4bAJi2MhMQe7U8sJERERERERSTe/jzFD5HBCeMyWiub/goPFTSIyPRQei4xTZaUNftmqgW0femLtH+rqB0+1iQ+UGdLy58RAeTBM3oSbbvoKIpEvIRzqQVZ2nmmNMRoG1wO9iWMTg2P2LSa/N3H1PAbGBWYe4quJOYBdeVxIzJ9zc1VNLCIiIiIiIlPD30dm64pklcdOLGDOjoXMIjI9FB6LjNPVVwJHjjpobASamoCmZn6w2dS2N9Y7uHuUQNmEyUkC5UDARSBQMOSxGAZzwLr4Aew4+UdhmTEzJM4vsKG2X03sDzqQl2eriRkQ+20n2JuYAbKIiIiIiIjITAiPw0nC44D5f2egQllEpofCY5HxvmmCDlavgpn8Rv5tbTZMbmwGmhqHBsoMf/0wmVXK9QmBsl+ZzEDZDcRVEscCY7ajIH5g8rYMguMHsSO2ligpGawm9ttPsBWFiIiIiIiIyEzDoibX9Ux43Nc/PDz2Q2O1rRCZXgqPRc4Sg1sGtZxWIyFQboKZTIVy0/BA2a9Sjg+U2d+YoTAD4tKyWI/iuD7K2dmx3sSxkJhhcWmJDbVFREREREREMgX3c5O1rQhxcPrYGbWqPBaZXgqPRSY7UI6vUG4f2u6Cl6HQYKDMKmMGx/4AecXFzrBq4sJC/r+CYhEREREREZk94bHneQP7uqw89lsyqlBKZHopPJ5Cf/d3f4dvfetbQ6679dZb8bnPfS7tj/X2t78dzzzzzIT+9r/+679w6aWXpn2e5joTKJfagfbiA+V2BsqxymR+YDIgNj2KS22VsYiIiIiIiMhsxKpif8weFlPxZ4bIpm1FUC0rRGYChcdT5KWXXsJ3vvOdqXo4yaBAubQUZlq1crrnRkRERERERGTqsDWFHx6bQfIGqpDtz+p3LDL9FB5PgVAohE996lOI+iOfTYOAvzVOgVoiiIiIiIiIiMhUtK3wx/eJRAf7HftVyep3LDL9FB5Pga9//evYv3+/+bmqqgoNDQ2YShdddNGwdhkiIiIiIiIiItMpmMUzcu3PkfBgBbL5P7WtEJkRYm9RmSyHDx/G1772NfNzXl4e/uzP/kwLW0RERERERETmPNu2wgFH+2G7Cj88ZqDM67Oz5vwiEpl2Co8nEZu8s11Ff3+/+f3OO+/EwoULJ/MhRUREREREREQygt+WIhCMC49Dg60s1PNYZPopPJ5E99xzD5577jnz85o1a/Dud797Mh9ORERERERERCRj+CFxwB1aeexfr57HItNP4fEkqaurw+c///mBAeg+85nPIEtbPRERERERERGRoeFxXOUxB8zLCjJLUeWxyEyg8HiS/O3f/i06OjrMz7fffju2bNkyWQ8lIiIiIiIiIpK54XEACCdUHrP+jsV4IjK9FB5Pgvvvvx8PPPCA+bmiogIf/ehHJ+NhREREREREREQylus6JjjmwHnRCBCNeqYCmeGx+h2LzAyxYzySLqw2ZtWx7xOf+ARKSkqmdQGfPn3azMeOHTvQ0NCAUCiEsrIyVFdX44ILLsBVV12FrVu3Tus8ioiIiIiIiMjcw6DYjVUes+qYWHWszp8iM4PC4zT7p3/6J9TX15ufL730Utxyyy2YbidPnjRTvO7ubpw6dQovvPACvv71r+P888/HJz/5SZxzzjnTNp8iIiIiIiIiMvfCY1N5HAVCocHrsrOme85EhBQep9Gzzz6LH/zgB+bn7Oxs/PVf/3XGrGUvvvgi3vKWt5h5fuMb33hW96WeRJKOdUfrkWQSrbuSybT+SqaayetuKvPD28y0+ZapMZPXXZHpWH8ZEjMs5r3199tLVh3n5Gg7Kemjbe/EKTxOk/7+fnzqU5+C53nm9zvuuAPLli3DdCotLcU111yDyy+/HGvXrjVtKnJzc9He3o4DBw7g4Ycfxve//310dnaa27OdxV/91V+Zv7v++uvP6nFFztZ0t3sRmSitu5LJtP5Kpppx625xcQo3KeYX5ymZHZm5Zty6KzIN629ZeQQdnWG0tEThBhwUFnkoKgqisjKA0lIN1SXpp23v+Cg8TpO77roLR44cMT8vX74c733vezGd/uRP/gTnnnsucnJyhv1feXk5tm3bZqY//MM/xEc+8hE888wz5v+i0ajpj8xeyOyLLCIiIiIiIiIyWbLYtiJoq5h7ez1kZ9mfs3NUmS8yEyg8ToN9+/bhm9/85sDvn/nMZ0zbiul00UUXpXS7yspK0/P4rW99K3bv3m2uYyXyN77xDfz5n//5hB67tbV1Qn8nwtNI/COAbW1tA5X8IjOd1l3JZFp/JVPN5HXXbW/HWLXHPBswqu/Nc9JMXndFpmP97e720NPDCUAPUFjIXMJBTzcQ6leALOkxl7a9pWk+s0nh8VlipS7bVbDlA916662mojeT5OXlmV7Hb3rTmwau++Uvfznh8Hg2vwFl6nA90rokmUjrrmQyrb+SqWbaupvKvMy0eZbpofVAMlm61t9g0APbJzuuZwbNCwQA1+Wlo+2kTApte8dHzWPO0re+9S28/PLLA8n+RAPX6Xbeeedh1apVA7/X1tbi6NGj0zpPIiIiIiIiIjK7BWJljQyMERssj5OIzAwKj89Cb28vvvjFLw78zuCY/YQzFQPkeKdPn562eRERERERERGRudHzmIJxl9PcCVRE4qhtxVno7+9Hd3f3wO9sX8FpNImndPz0pz/FfffdN/D76173Onz2s5/FdKioqBjye0tLy7TMh4iIiIiIiIjMDX5ozHYVxKrjbFUei8wYCo/TKBKJjPtvGCbH/x17KE+XHtOdflBOTs60zYuIiIiIiIiIzH4DFcex8FiVxyIzi9pWyIATJ04MWRqZ3IJDRERERERERGY+x3FMYOwG+LMdKE89j0VmDlUen4Xi4mLs27dvXH/z9NNP4x3veMfA77feeis+97nPYbqx6vjZZ58d+D0YDGL16tXTOk8iIiIiIiIiMvsxPHacKCKRHkSj+cjOVq2jyEyh8FiM//mf/0FnZ+fA0jj33HNRVFSkpSMiIiIiIiIik2bnzp343Ofuwu9+9zP09XUjNzcfr3nNa/Anf/JBbNq0SUteZJrpUE4GOHnyJNauXTswXXPNNaPefrzV0I8//ji+8pWvDLnuXe9614TmVUREREREREQkFT/60Y9MxvHLX37PBMfU29uNH/zge+Z6/r+ITC+Fx7PQH/zBH+B973sfHnjgAfT19Y14u/b2dnzpS1/C+9//foRCoYHrL7roItxwww1TNLciIiIiIiIiMhcrjj/wgQ8gHA4n/X9ez//n7URk+qhtxSzkeR4eeeQRM+Xl5Zlq5VWrVqG0tBS5ubno6OjAwYMH8cILL5hex/GWL1+OL3/5y9M27yIiIiIiIiIy+331q18dMTj28f/vvvtu3HXXXVM2XyIylMLjWY7h8EsvvWSmsdx44434m7/5GxMyi4iIiIiIiIhMhmg0ivvuuy+l2957772myM11dfK8yHRQeDwLsQ3FY489hh07dqC72/YMGkl2djYuv/xyvP3tb8cll1wyZfMoIiIiIiIiInO30G2svMLH2/H2BQUFkz5fIjKcwuMptm3btnEPaLdo0aJx/c173/teM/FI3rFjx8x05swZ066CvY3z8/NRUlJiWlRs2LDBBMgiIiIiIiIiIlOBLTaZTaQSIPN2vL2ITA+Fx7MYT+lgQMxJRERERERERGSm5BW33HIL7rnnnjFv+9rXvlYtK0SmkRrGiIiIiIiIiIjIlLrzzjsRDI5e08j//8AHPjBl8yQiwyk8FhERERERERGRKbVp0ybcfffdIwbIvJ7/z9uJyPRReCwiIiIiIiIiIlPutttuw4MPPoi3vOUtprcx8ZK/83r+v4hML/U8FhERERERERGRacHK4rvuugtf/vKX0dPTYwbHY09kEZkZFB6LiIiIiIiIiMi0YmBcUFCgV0FkhtGhHBERERERERERERFReCwiIiIiIiIiIiIiY1PlsYiIiIiIiIiIiIgMo/BYRERERERERERERIZReCwiIiIiIiIiIiIiwyg8FhEREREREREREZFhFB6LiIiIiIiIiIiIyDAKj0VERERERERERERkGIXHIiIiIiIiIiIiIjKMwmMRERERERERERERGUbhsYiIiIiIiIiIiIgMo/BYRERERERERERERIZxPM/zhl8tIiIiIiIiIiIiInOZKo9FREREREREREREZBiFxyIiIiIiIiIiIiIyjMJjERERERERERERERlG4bGIiIiIiIiIiIiIDKPwWERERERERERERESGUXgsIiIiIiIiIiIiIsMoPBYRERERERERERGRYRQei4iIiIiIiIiIiMgwCo9FREREREREREREZBiFxyIiIiIiIiIiIiIyjMJjEREREREREREREVF4LCIiIiIiIiIiIiJjU+WxiIiIiIiIiIiIiAyj8FhEREREREREREREhlF4LCIiIiIiIiIiIiLDKDwWERERERERERERkWGCw68SERERkUx2/PhxHDp0CLW1tejs7EQkEkFxcTGKioqwYMECbNiwAfn5+dM9m5JmP/7xj/EXf/EXA7/feuut+NznPqflLCIiIiITpvBYREREZBZ47rnn8NOf/hQPPfQQGhsbR72t67pYtWoVrrvuOtxyyy1Yvnz5lM2nzA5vf/vb8cwzzwz8rqBaREREZHZSeCwiIiKSwV5++WV89rOfxUsvvZTy30SjUezfv99MX/3qV3HxxRfjox/9KDZv3jyp8yoic6cK/tSpU0MOLixatGha50lEREQmRuGxiIiISAZiAPylL30JX/va1+B53qhVxmxZ0d/fj+7u7qS3eeqpp3D77bfjwx/+MO64445JnGsRmQt+8pOfDKlMv+iiixQei4iIZCiFxyIiIiIZJhwO42Mf+xh+9atfDfu/hQsX4sYbb8QVV1yBtWvXorS01ATIxP7HBw8eNGHxL37xC1N57GMAffTo0Sl9HiIiIiIiMrMpPBYRERHJMJ/85CeHBcclJSW488478ba3vQ1ZWVlJ/66wsBDnnXeemVhhzBD5i1/8Il588cUpmnMREREREckktgxFRERERDLCd77zHTMwXryamhr83//9H971rneNGBwnw17H/Lu//uu/Rk5OziTMrYiIiIiIZDKFxyIiIiIZ4vTp0/iXf/mXIdexLcV3v/tdrFy5ckL36TgO3vrWt+Kee+7BvHnz0jSnIiIiIiIyG6hthYiIiEiG+PKXvzxs0LtPfepTps/x2dqwYQPWrVt31vcjIiIiIiKzh8JjERERkQzQ1NSEn/3sZ0Ou27ZtG1796len7TH8gfVS0dvbi0OHDuHw4cNobm42oXZeXp7pvbx48WJs3rwZ2dnZyNRlvXfvXpw4cQIdHR0IhULmuRUVFZmgftmyZZg/f/6E7psDE/J+uexYSd7V1TVQQV5RUYFzzz0XlZWVmIv6+/vx0ksvmUEd29vbTQuWRYsW4cILL0R5efmYf88BIV944QUz8COXa3FxMZYsWWLeJ+leF/k67ty506wnLS0tCAaDqK6uNgdgJnoWwExYT3p6esxrUFdXh9bWVvN7QUGBOSth9erVWLFihTlbQUREROYOhcciIiIiGeC+++4zIWY8tpuYSgcOHDAD9f3+9783wVni/MRjWHfZZZfhj/7oj3DBBRek/BgnT57EtddeO/A7w9oHH3xwXPP59re/Hc8888zA7//7v/9rAsSxwrp7773X9IBmeDaWqqoqc58333zzkPlNhkHo/fffj0ceecTMF0O50TB8/IM/+APcdttts6oX9dq1a4f8vm/fvoHQ96677sL3v/9983Mihsg8SPL//t//M8FpsnXmS1/6klk3GUAnys/Px3ve8x68733vS3l5jrQOhcNhfOtb38J//ud/or6+PunfrlmzBu9///vHfWBnutaTaDSKX//612bd5+CZo72vy8rK8IpXvMI8JnumxwfJicss3jve8Y5R5+Ef/uEf8PrXv37Cz0FEREQmj8JjERERkQyQGKCyAnGs0DKd2Gv5G9/4Rsq3Z4j30EMPmYlB06c//ekZW4nMyuk777zTBGepamhowM9//nMT9D333HMj3o6VqW94wxtGDeQSsdr0M5/5DP7nf/4HX/3qV9NSyTpT8YAEg9ZTp06NeBsuu5/85Cd48skn8V//9V+m+tXHsPUTn/jEQGVuMqyK/8pXvmL+nuswK2knup584AMfGPPgwv79+/HRj37UrB9f+MIXTHg9lulaT3gQiMuPr0MqWGXNMyA4MUS/6KKLxv2YIiIiklk0YJ6IiIjIDMdAKTGwOv/8801F5lRhVeRIGI4xzB5pfn70ox+Z0I0VjjMNQ+53vvOdIwbHbFfBastUAsCR2nuMFAhyeXG58TGSYfuF22+/3YSEsxHbMnDZxwfHrGRl65Nk69KZM2dM0Oz3/WZw/OEPf3hIcBwIBMzfJ2vB8vzzz+Mv//IvJ/w6vve97x32PuRrN9K6wQMnd9xxh2n9MBPXk1/84hd429veNmJw7D/uSO9rVuuLiIjI7KfKYxEREZEZjqFQ4un4mzZtmpZ5YRuJq666ypyyztPz2d+YgV18IPjUU0+ZU+B37do1cP3jjz+Or3/96yZMm0lYycpK0XjXX3893vjGN5q+sgzPfAz3GNTt2bMHjz76qKk6TjVAY/B3ySWX4MorrzSDE7JKNL4CluH8jh07THsSVnVGIhFzPds4MCBlAD9TK7cn6s/+7M9Mf2li+483v/nN2LJliwkruVx3796Nr33tayYk9h0/ftysR6997Wvx8Y9/3CwnLlu2TGCbCK6TDKD5WrHS+POf/7yp6vWxPcMTTzxhWqqMB9tqsErXb1nCgyE33HCD+Zn4PH7729+aCmCG3L6nn34a//iP/2gq72fSesJlwzYg/t/72JqD6z7f3/5z8yvt+X7mes/Xg78nete73mVeR/rv//5v816J/z/2Ch/JeeedN+Y8i4iIyPRQeCwiIiIywzEwS8SBuaYSQz2GZex3OhqGyZzYqoJB2pe//OWB/2PLAPZoLSwsxEzx05/+dMjvDCTZHzcZhpocNIzTLbfcYipKH3jggVHvn4O2/cVf/IVpSTDa8+btGGhyYjUo+/OyRQAx3GaV6K233orZZPv27SboZEuUG2+8ccj/MQDeuHGjWX/+v//v/8MPfvCDgf/jgQm2CmEFMg9mcL1KbNnA1+qKK67A1q1bzfJk4O/7zne+M+7w+OWXXx6o+Gd4zdcrHnsxv+lNb8KrXvUqc4Dk2WefHfi/e+65xwTbo/X+nsr1hL2aP/KRjwwJjhlaf+5zn8MrX/nKpH/DIJkHjThxPtmSI7H/dHwbnV/+8pdDwuNrrrlmzL7jIiIiMjOpbYWIiIjIDJdsYC6emj+VXve6140ZHMdj24A//uM/HhJksTqSg9LNFH19fTh8+PDA7/PmzTMVkqli4MYQeTTsz8v7HE9gvnnzZnzxi18cch0Dz9mIbSQSg+NE7MkbH9ZyIDmGswye77777lF7/bJqN7FVBatn2SZivLh+/Pu///uw4DgeX2dWSzPU9rGKmvM5U9YTht9+4Ew8c4DXjRQcJ2Iwz/f1qlWrUp5XERERyVwKj0VERERmOL/Ha7yioiJkAvaJjcfT+GcKhpDxGPgl65U7Hdg2gOGgjy0DGL7PJmvXrsVb3vKWMW/HQPXqq68edj3/lvcxFg7qtmDBgoHf2dJi3759457fj33sYykdtOH8/vmf//mQ69gqI9kZBFO9njA0/uEPfzjsPaqB70RERGQkM+PbsYiIiIiMKLHfMU10ALepxqrQ+GpK//T/mSAxgGcVcrKgfrqw57KPgw2y1+1swt66qTrnnHPO6u8Te4SPd3A59r6+6aabUr49+2bH9wxm9TF7ZE/3esJ5iB/ALzc3F+9+97snZb5ERERkdlDPYxEREZEZLtkAWDMh5GSozcC1trYWXV1dZp4SB+CiYHDwK2ddXZ0JuGZChS8DePYvPnDggPm9ra3NDOL293//98P6uabbqVOnTE/Yjo4OUynKathEHHww3unTpzGbXHjhhSnfdv78+cPC3PG0TUj8ew48Nx5s2TKeAQvZCoL9geN7NfPACQf2m8715JlnnhnyO/tCxw8KKSIiIpJI4bGIiIjIDJesyni6Whiw1QMHmeOAWDxFPhwOj+vvWYHJIGyqezaP5M1vfjP+9m//duD3hx56yLRIYOWoP8hXZWXlWT8Onzfv+2c/+5npuTuR14/LbTaJbyUxFvYuTgyDOajeRN9DPNgxHhy8b7w2bNgw5PdUWmVM9nqye/fuIb9zAEARERGR0Sg8FhEREZnh4k9/H6lf71Rgr9R//ud/PuvHZnA3U8Jj9s3lqfwM6uIH0vv5z39uJlqyZIkJ2Vgpe+mllw4ZDC0VbJHwyU9+Ei+++OJZzets63k8nr7diZXq4xlYzq8Ejsfq98kKun2J60n8IHXTtZ40NzcP+Z3rtoiIiMhoFB6LiIiIzHDJAh5WMV533XVTNg9f/epX8W//9m9pua/xBneTiaEin9uXv/xl/Pd//7cJjhNxoDNO9957r/n9vPPOw1vf+la8+tWvHhZKJtqzZw/e9a53pSXsZ1XqbDKeyuF0/u1EjDesTvY3o7XKmKr1JPH+M2XgTREREZk+Co9FREREZjj2ds3KyhrS73Tnzp1T9vjPPvvssOCY/V/Z2oFtHdauXYvq6moTROXk5Jh5jcf2D+zdOlNxftnr+G1ve5sJiB944AHTkiNZ/2Z66aWXzMSw+V//9V+xbNmypLfj68X7TQzsOHgbg38OAsf2C6ws53LjMo0PRRlof+UrX0nzs5WpkmrYP53ryVSH8CIiIpJ5FB6LiIiIzHAMN1ntyhDXx1PbGTolBrWT4Ytf/OKQ3xkW33333Sm3bxhvf9npqmxmAP6+973PTDz1n8v4+eefxwsvvGB+5gCBif1jOQAaB0WrqakZdn8MojmgoI+v1T/90z/h5ptvTml+ZsKgiDLxliGJ631xcXHS203lesLB8Tho5UQHDhQREZG5Z/qHuRYRERGRMXEQt8T+qQ8++OCkL7mmpiYTnvrYpoFVjqkGxxxQbzwDvSX2th2p+nc06QjE2HLg8ssvx4c//GH87//+L55++mkToicOMFZfX4/Pf/7zSe+DFczx3v/+96ccCKbSI1emzunTp8f9N4nV9mVlZdO+npSXlw/5/dixYyn/rYiIiMxNCo9FREREMsAtt9yCYHDoSWPf/e53J/1x9+/fP6SS99xzzx3XIFuszh1PAFxQUHBW1bdsFXDmzBmkW35+Pm666Sbcc889pr1FvPvvvz9pr2T2pU58Dcdjx44dE5xbSTe2MRkvrvvx1qxZk/R2U7mebNy4ccjvZzs4n4iIiMx+Co9FREREMgD7nb7mNa8Zct1TTz2Fn//855Pa7qG5uXnI7wsWLBjXfT700EPjrviN78PKKuK2traU/37v3r2Tfio++9PGtwvp7e3F0aNHk1Ztx2Pf2lRxgL5Dhw6d5ZxKujz++OPD2paMhgdMHn744SHX8cBLMlO5nlx00UVDfn/ssccmpcI9cSDJmTRIpoiIiIyPwmMRERGRDPHHf/zHyM3NHXLd3/7t36ZlMLo9e/YMGxSPEnsqjyeYZZ9YVuqON3RaunTphKsjx/t4E8GAm71j4/X09Iy57MbTvuOb3/xmygOuyeTjYHa/+tWvUr49W1E0NDQM/M4DIldeeWXS207lesJ5YBV9/IEPDvyYbolnEEykZ7SIiIjMDAqPRURERDLEokWLTNVrYqj11re+9ayqVL///e/jzW9+85CBtHyJA8FxALlUg6C/+Zu/GVa5nIrNmzcP+f2HP/xhSn/38ssv40c/+lHKj8N+zBPBSs3E51VZWTnmskusRB3Jk08+ie9973sTmjeZPOxtnUoVPN8fHPAu3qWXXjrsoMh0rCc86HH77bcPue4b3/jGkME406GiomLI76qiFxERyVwKj0VEREQyyDvf+c5h7SvY4/ctb3kL/ud//gehUCjl+3ruuedM/95PfepTpgIxmQ0bNphKW19XVxc+/elPj3oaOkNZ3ubee+/FRNx4443DqjjHas+xfft23HnnneN6/gzpGLzz/lMNktmO4LOf/eyQPs4M9ZMNIJjYIuBf//Vfx6wSZxsBPg9VHc88PLjCwexGq75ncHzHHXcMeZ1ZdczrRjLV68kf/dEfDRk4j+vye9/7XtO7OxV8r/z0pz/FwYMHR7wNtxvxePvx9i8XERGRmWHoqCsiIiIiMuP9wz/8gxmgLT7sYUUkQ00GyAxfeXo6B+hipaHrugPBLwOfp59+2pyCnzigVzIcpO8Nb3jDkFPbf/azn6G2ttYEaQy+/FYaPE3/kUcewX/8x3/gyJEj5rply5aZx40/hX8sV111lQlkT548OXDdn//5n5uBwd70pjdhxYoVAyEWr2MwxYpjBsd8vmVlZQOPPxZWUnPi311zzTW4+OKLTfDFKtHs7OwhwSGXG5dD4uBpb3/724f0afaxmpttNPyAj8vg9a9/PT74wQ+a16i6utpcz9eS8/CDH/wAv/zlL811vL+tW7eagF+mH/sVs7KdLVRuvvlmE9zyNfQrbFmJzoMQX/3qV4cN2MhK38SAeDrXE/ZP/8IXvoA//MM/HDgIwrYrf/Inf2LW/ze+8Y3mMr6avrGx0az3jz76KH7zm9+Yefzf//1frFq1KuljcPvD7Y5/kInvRw44ee2115oBN3Nycobcftu2bQPvaxEREZlZFB6LiIiIZBj2SP3iF79oJp5yHl99yIrF//zP/zST30O4qKjIBKsMcUfCoIdhczKsmmQwFl8NybCKE/+uuLjYhE8Mt+KxYpl9lBm0jQcD67/7u7/Du9/97oHnxpCLwS0nBk8MrFkBGv/cuVxYtXn33XenHB7Ht//48Y9/bCYfe8PysVgxmfjcfJdffjne8Y53JP2/devWmcrm73znO0Me5+///u/NxPvnc01WycrgkBQez5x+41/60pfMwQoGp5/5zGfM5PcPHqmq9sILL8QnPvGJUe97OtaTSy65xLTW+Mu//Msh6zYH4eTkv5/Yu5jbjfFU9PuD/r3uda8b8n5iqB7/HBMPiCk8FhERmZnUtkJEREQkAzEU/uhHP4rvfve7w3oEx2PoyiBqpOCYlYtXX3017rvvPrznPe9JehtW8v77v/970tYMrCzk/SeGq6xu/K//+i8TjE0Ewy1WUvN5JuJjsdI6PjhmQM7QmL1l04WBIPsbJwuOudxYBc1KU7+yOxmGc69+9atHvP/EQJD39aEPfchUgcrMwYMIX//613H++ecPew1HCo5Zfcv3TfwAdTNpPeHjsXqYZwckw8CY7+2RguPR1ntiOxxWGouIiEhmU+WxiIiISAbbsmWLOY39mWeewU9+8hPTx3esQeoYyK5evRo33HCDqQ5MFgon4u1ZRXjXXXeZAexGCszY/uG2224z1cqsSD4bPHWfj8tT7Dk4WLL+rqyOZAj2kY98ZOD0/lRdd9115jk99NBD5v537tw5Yu9nHysxGYix2vicc84Z8zFYMcqB1lih/LWvfW3EimgGcbwNK1xHOxgg04d9gr/97W/jW9/6lqnsr6+vT3o7rrPve9/7cMstt6R839O1npx33nmmBQa3HRw4k5XVo/Uz50EhPj5b2bBdxmgYmvPgCqui2SaHbS+OHz9uDmSN9T4TERGRmcPxNBqHiIiIyKxy7Ngx09uYp4kzqGH1MStzGeYuWLAAGzduRF5e3oTvn5W47P16+PBhUxHJQIvBGkOzTZs2Ja0WPltNTU149tlnTWDHQckYTC1fvtwEWPED+p0NVlgytGPAxR7H/rLjY7H6ms9v5cqVQ3ohj9ehQ4fM4H58Pnw8zjt7wDLEKykpScvzkLPHPtY8IONjhS778voYsPJgw759+8zBGh7EYLDKftlcR87WdK0nrOh/6aWXTGsOVt3zefKASU1NjXlerFJO1t9bREREZi+FxyIiIiIiIuMIj0VERETmCvU8FhEREREREREREZFhFB6LiIiIiIiIiIiIyDAKj0VERERERERERERkGIXHIiIiIiIiIiIiIjKMwmMRERERERERERERGUbhsYiIiIiIiIiIiIgMo/BYRERERERERERERIZxPM/zhl8tIiIiIiIiIiIiInOZKo9FREREREREREREZBiFxyIiIiIiIiIiIiIyjMJjERERERERERERERlG4bGIiIiIiIiIiIiIDKPwWERERERERERERESGUXgsIiIiIiIiIiIiIsMEh18lcnZaWlq0CGVCHMdBaWmp+bm1tRWe52lJSkbQuiuZTOuvZKqZvO66e/ag5LLLRr1N2xNPILp+/ZTNk8wcM3ndFRmL1l/JVHNp3S0rK0vr/anyWERERERERERERESGUXgsIiIiIiIiIiIiIsMoPBYRERERERERERGRYRQei4iIiIiIiIiIiMgwCo9FREREREREREREZBiFxyIiIiIiIiIiIiIyjMJjERERERERERERERlG4bGIiIiIiIiIiIiIDKPwWERERERERERERESGUXgsIiIiIiIiIiIiIsMoPBYRERERERERERGRYRQei4iIiIiIiIiIiMgwCo9FREREREREREREZBiFxyIiIiIiIiIiIiIyjMJjERERERERERERERlG4bGIiIiIiIiIiIiIDKPwWERERERERERERESGUXgsIjJB4bCH2loP/f2elqGIiIiIiIiIzDrB6Z4BEZFMEwp52LsP2LET6OnxUFTo4OabPBQWOtM9ayIiIiIiIiIiaaPwWEQkRX19HvbsBXbuAnp7PTQ1A83NwLKlHn5zvw2Q8/IUIIuIiIiIiIjI7KDwWERkDKwu3rUbJjg2oXETUN8A9PcDgQBw8BDgOB7u/62Dm270kJ2tAFlEhK196uqAsjIgP1/bRRERERGRTKTwWERkBN3dnmlNwRYV7Gvc0AjU1wORCFBWClSvABwXOHAAOHQYcF0Pv/2dgxuu9xAMKigRkbmpq8uepbFvvz3gFgg4WL/Ow+ZzoLMzREREREQyjMJjEZEEHR02NN5/IBYaN9hK42gUKC8HqucBOTmDt1+10t6WATIrkB96xMG1V3twXQXIIjJ3NDTYszSOHLW94f3WPiUlHFiUYbKDTRs9bNzAbai2jyIiIiIimUDhsYhITFubh+07bBsKhsYMjBsbbWhcWQHMmwdkZw9fXLm5wMoV9u8YmjBAfuwJB1e8woPjKCARkdkrGvVw9BiwezdQV++hrw/mLA2Gxtx2FhXCtK7gtnTePPv/u/c4OGeThw3rgawsbSNFRERERGYyhcciMue1tHh4eTtw+IgNjevqYfoaU2UlMK+KAcfoi6mgAFix3FYfHztmA+ScbAfbLpo5ATIH/ONp5MXFwNIlmDHzJSKZx9+esD1FZ6eHjk5WHvMgHBAM2m1nVaXddoZCwJk6oLbW3qa62kNvL7Brt4NzN3tYu4Z/o+2RiIiIiMhMpPBYROasxkYPL70MHDtuT6lmdRxPs3ZdGxhXVdkQJFVFRcCypbb6OHCC13jm1Ozzz8O0a2zy8OBDtrqaz2/pEgevuMxDbq4CGxFJXWurh917gAMH7cG2llYbCPf02LMwFi8GysvsdtTHAHnxIrtdZYh88qTtHz+/xkN3N7BzF7eTnmkBNNva/XieDco7O+1BRg0cOLFlyAMQvX1Afx/7aNufecnP7mCwHzwWyvWJBy1EREREJL0UHotM4s5OOGwrrvr67Q6OP4X6h19nd4Bsa4T5Nba37mzbiR4N+2PWngFe3t5vBlviqdC5uR7y8mwgkZ+HgZ/ZOuJsqmbP1Hl4+WXg5Cl7CjXDjJYWIBAAampsxVwwMLH7Li0FliwGjp8AAkE/QAY2rJ++13L/AQ+/f9L2cmawzeUYDnMAQNtaY+HCubOeicjEPs9On2alMHDipA3yGptsKwp+zvFshoULgMJCbpvtdTyT49Ah+1nHg2rr1tpe8TzrgX3jub0/dtwetKuZ75lwdfsOB1vO87B8eeadGcFtans70MapzV62twGtbTZk97GNBz/nq6ttmF5mgvbMeq5nuy7x+05fLPzl+mEu++Iu+4C+WEDcF5sikcFl6GNbFF4fCITM5zc/b1evArZuUUgvIiIikk4Kj0UmcKouAzhWWQ0Jf0PDw2AGoMl4Hnd44iazA2TDy4IjtmIrO9vBvCrPhJkm0Kzg/zuzageytZUBrq1CY6sIu7xC6O31EIlETZjOirXEDIHLIT/PQ24sUDZTLkYNmk34UQsTGtee8czrx9CCVXN8jAULgIpy+xqcrYoK+3qeOm1D6Cef8sx8rFrpTHmY8eRTNjxmyMNlzWXS1QXs3ccQx8Ov7wc2bbQ72zptXEQStyHs5c7QmBXH3T22ypgH27hd5kFOtqbgdoUYmO7bZ/u/M/DzsQ0Q+8mzPQUHy8vPB5Yvg6k6Zoh89ChQlwfMn++Z4PXlHQ62nu+ZKuaZFCLzc4QhN0NihsLxYTG3q/x/4vY/MQhlSMrwvKDAtkbiMuJT42d9VZVnAnWGylyevG42fWc6c8a+zrzkZ26y70b+9yEeeDATf49d+tdFEn5meEzBYNgsSw7MyAMbR4/ZSvb162bX9yYRERGR6TJnw+PW1la88MILOHPmDDo7OzFv3jwsWrQI559/PgLpSI/GqaurC8899xzq6urMvJWXl2PhwoXYunUrspON0DUBvO/t27eby56eHlRXV2P58uU455xz0nL/c8XDj9jKK3/nZcQpFggnm/wdnmS4A8Qd68JCG/ixMourJIM9DjZUUw0z2ZYKmbVTxOorBrgMMU+dsn0yuSzYK7ODVVodXD5hc1suXx+ff1YQCGbZ6uysLM9exq4zl2MEzY7LHX17ijQrjbmzz7cWT6W2Vd7pfa4MAcKxAJkVyI89zsfzsGTx1Lxm7R0eHnyQA1d5OHHSDl7FimpWB3Id5HrF8ILrEXfka2sdXHmlh7LSzFqnRCT9ePYHexnzIBPDPwalDI0ZnHK7OX++PUjGg2PchrPPO2/L7ftIGOrt3MXB8oCVK4FzNjLss4ON8n4ZLh4+bFs7LJjvmW3WvCoHW7d6WDB/ardLfM5+9fBAFXHsZ78Cls+bB4mTVcnGf35lZwE5sYOa/D9WcDNj5mcOP+sZJnOAweOxz3qG5eXlNkz2A+XCQiejPuf5GcugmOsDX0e/2pif9fwMThYGx3L3Ifh5zs/2gSlgA3he8nd+tvLzv6AgiI5OD8eOhc2BDR6E4LLet9/Bxds8LFyQOctPREREZCaac+HxkSNH8PnPfx4PP/wwQtyTSVBVVYU3velNeP/735+20HY09fX1+MIXvoDf/OY36OY36gQlJSW45ZZb8OEPfxiFPB90AhgYf/GLX8STTz6JaJLUcsmSJXj7299upplU4TNTNbfYnSLuHCXi4uMOIXcA4yfu7CReF0hyO66SnV12R5qVWqyM5X2yipZhMq87ccK/va1WMmFyjT+o28x6/bjDyB25xOpiVmQxKObOOJ8rdxr5dispBiqrAsjPc9DVFTbLI+RXIcX9zL/3dzgTjRQ0c2eTO/58XL4eS5YAZaXjD405r6wwY29kv/qOp8kyBEjE9iPMwu1rxp7DDl55A6vJJ/d1On7cwyOPDbap4E40TxVnSE58zgxsGFgwyOBrwB3+e++zA/zx9HJtC0Tmnrq6CH7/lIcjR2wrIW7nGBoz+GOoy2phBr7c7nE7uOMAz2ywgWCq+DXkwAE7scUPj1/z84v9jjs6bIjMfsrsId/d7aG+gWGyPTti3jwnbZ9NnGc+Hid+Lvg/M+Ds6RlMMv0WC4ntFHi9z/+c51RcFPs5F8jNGf4Zw+fPM1+4/Lq6Bz/riRXcDJN5HbfNvB/isveDZLa7sD2lZ8bnPdcTzj9fN0486O2Hxfxs4fK0nzGDz5EHejnxjCEGwH4YbALhuJ9T+XzmZxV79xcUOCjIt8uN3ze4DBct9PDrVts25aILuU7NjGUmIiIikmkczz/Hbg6499578elPfzppSJtow4YN+PKXv2yqkSfL448/jo997GNoYQI1hsWLF5v5Wb9+/bge4xvf+IYJjsPJUrYEl1xyibltKZu2noVUnk8m+7/veTh0yDP9HrkjHR/+ckcnXfk735ncWfXDZE7+8Q4bJgOFBfbS7mQ5prWF3+aCO5rTceorK7ZYbcTKYobGtn/x4A46A2PuRHI5cd7ZK9Pf2eZzyI2d/9zb2ztwCvBI+N9+X2lzGQuZ/Z/96/2Jy43Lhat4Kq8Tq6LYWoOVUzxo4F/GhwbEeb/mKrvck80jq/JYucfAtqLCwU2vZBuS9L82DOaff4Gnh9tKQVaycd3gesrnngxDjKPH7HNi6w6eMr14sYPLL+PfaEc7VQww/G0nzx6ZQx+tMgvwY/vl7Xk4XRtFW1uPCWy5veO2m6s1w10eIONqXVtrq4zZ132s1ZyhL0NCnukwGgai52xi2Gd/Z6UvH4cHChlW80Act2HcNm09325HU2m5kTQcjgXE8T10zdgEsUB4ICSOTf4xd9tiwgbCDIa53Tc/sxI2mPwzhffr9z7msmL4y1A8Hq/n45owOTb19Nr/4/0yOObEz3suA37P4IFinjXCzzOeUcLQ1G/VNNmhMperHxbzQDoPQvKzxxz8jguL/bYl/vcV9nou4PeVNJ/cZ8Pjod8buAz5HYThPA8SL1zIZeNg8zkw01SdteXu2YOSyy4b9TZtTzyB6Di/28vsoO8Nksm0/kqmmkvrbhkH1kijORMeP/LII7jjjjuGVN4uW7YM27ZtMyvP8ePH8dBDD5kvnr5Vq1bhe9/73oQrfkeza9cuvO1tbzPtI3xsnXHFFVegsrIStbW1Zn7ambTFVUX/8Ic/RE2yhCqJe+65B3/913895DqGz2yFkZeXh0OHDuHRRx8dEixzeXzzm99EFvf2JmiuhMfcsd64ceoe19/BjA+T4yt5/CCZk23f4JjTilmZzO2GX8nDqlz+v3+6Z3y1z0SqTbkJ4bIw1cWnWE0fV10ca0XhVxdzJ5s7zgyMuSOZWFWUbCcwXXhXoz09zu9AQBwLiRkcpzoLfC6XXgysXj38/7jZYSUfXztWKTP4eNVNDEXStwPLCr1HHmWbDBve83XwB+8bqxMP54/tNVgxxteGVcqs0LriFcCiRQqQUzGXvojI7MEg8KWXgR07Gabm4NSpCBqb7OBj/PzgwSR+XjAIZDXwvv12uz4aBqzczrG/MYNfYoDKlhWHDtqWTiPhW4gh8gozYJ7tj8uAko/PzzGGyPwcWbGcPW3tYyVWDfstkOKrh/0WEyYQ5pgECZfxb1c+3/hg2Pw80D9/+DzzvvkZ54fEptVF7Gf2iE7E58HtMvs584Bvsvtky6PuWJDMzw3WPPBxBtpaxQJlTvz8jseQlPM7MA5AbEyAZNelcrYS1xEeTPDbUPBzgsE7vzpymfvfRxi428cfDIv9g9uTaaTvDbzg5zgrkbns/HZfxcWOqUJmNfJkn2Gj8FjGWnf1vUEyldZfyVRzad0tU3g8sdYQr3zlK01fYX+F+fjHP453vvOdcOPSq+bmZvzpn/4pnnnmmYHrXvWqV5m2EunEL7ecHwbEvve85z34yEc+MqRVBnsxf+pTn8Ivf/nLgevYk5mh8Fj27NmDN7zhDQPBMO/3s5/9LF7zmtcMud2JEydw5513Yv/+/QPXve9978NHP/rRCT8/hcdTJzFM9it9uLMbX5mcSgcWVivF9xYcCJbjegoP/F+sJQTbQDAwZnDJKl1/ICHuuPvVxSYsjgXG/im4I5nM8NjHu+T8tTTb1hN+YDye065H4w8+l+xUZfYYZki9ZjWrxWyAnI5elmfqPDz0MF8Pz1QRc1PHij/uKMfvGzMMZxjDvsfJ1gkGHqxWJgbIfM02bnBwwdbM66891ebSFxGZHU7Xenji93YgPLYUamoKIieH/XZDplqT2w4GhawyZvsbbuNHw6B57Vp7psNIgSHD1D17gL177SCzI2EoyoH1uK1kkO23i+JXGrbfYRCYuA0z1cNJguHEHsR2QFogJxvIzold8vccezlSqwRuu4cExLFLBqijjWMwGvZBZojMMJl9pEc60MfNyUCri1ig7J+JxHke8rntt2xK+LxO9ppwu+4PODskZI71Z+YyZ3Dsh8X+dw2G9H6thX9Q2P++cRa1Bynzz2bye1F3dwdM24rVq8LD1guut36FNP+Pn388qME+2hdv447V5H22KTyW0eh7g2Qyrb+SqebSulum8Hj8PvOZz+C73/3uwO8f+tCH8MEPfjDpbfv6+nDrrbeaqlx/5frxj39s2liky3/8x3/gn//5nwd+v+2220ywmwwrpRkss1+x76677sJ111036mMwAGa1te8f//Ef8brXvS7pbRmav/rVr0YTG8SZqpFcPPDAA6YSeiIUHk8f7kxyx5I7dl3s29g7tBdzsimQeF1g6P85yW4T69fsn5LLSi/uzPrVxX4rCu5IjqenMHcIu7pzEA5xsJt+8zsHZef9elF7OfB7bOJtUvndVBbHwuIUuriMyZy+nJu8Co+D8F15xfCdaFaTHTxoH5+hCAeDetXNtlJsIvhht2s38OxzdjBABjx8rVlRFX/CBIP8p5+x4bU/76wqZmiRiK8pT0fn82L4zBCaldJXXzm5O9mZbi59EZHMxtZCzzzLXsWeCQLZk51B7uJF2Zg/30VXVy8OHbahMbeZo2EgySph9klnpXKquE1ir2Ruv0Y7cMdt1fp1duJnC9tFsWUCA0G+3bh999tNxAe43PaOFBCP1GLC30abyuX24YPl+QdnJwvni207uF3mZ8hYB1v9Vhf8nPfbNQ20bwoPD7T5nP1+wvGBcrLAmRM3YfFtKPwT5QYOTseqiycrLPZbdw0buDA2dkGyTSzn6aor7GdXIn4H4MFuhs78fsJWFvn5DtatA7acx+eV/s83hccyGn1vkEym9Vcy1Vxad8sUHo9PY2MjrrrqqoHB8Tg4HCt5R2vLwKD2Xe9618DvN9xwg+k3nA6cj8svv3wgYC0qKsLvfvc7MzDeSI4dO2Yqlf2WGxs3bjSB9kh2795tAnDfhRdeiG9/+9ujzhfbYXzyk58c+P3d7343PvGJT2AiFB6Pjdso7jD7PYDtKbZ2R8yvGB3vQG7JcAeSO5dc/XmqMANYXkYTp4gNZblDHn+bVLalnE/TuzjF6uJE3DnkDh0rXtk6Ick4ltOOr0tZOVBRbgcqYuUbK+O4fJ573gYgifiZdN219m/j8fnx9G/iqd3z5zu46cbx96fmAHePPQEcPWqrBnkiA+eJwXH85o0VV489bsP9RDw9fMv5w9c1Pi9WHPL14Otpw2gHF14AbFivwfRmyxcRrkN8/2kQqbmB6yTb5zz1DMNAz7y/ecyY2w0OIOpFc7Brdxh790XG3A6XltgqYw5ydzZjC/Mz5/BhYMcuGw6OhKEnt5c8s4NtG1hFys9OM1BdkoA42TaN6zo/d9kHtztuiv99sgJifkb6fZVTwaCXfaCXLLKvTWKf5FSXbWKgHD8mQPx4AKMdUOUyjW9Dke6xpDmfflhvLuPC4sTxBVJddjz7h+tK4kECc+ZRu/3OwdeD37VYxc6qZZ5hw3UsnT2jFR7LbPveIOLT+iuZai6tu2VpDo8nuRPZ9GMw6wfHdPvtt4/Zz5cDx61YsQKHuUcT65fMQfbyucdylp5++ukh4SorfkcLjmnp0qW49NJLzQB7fr9ktpvgIHrJ/PrXvx7y+1vf+tYx54vtLFid7PdY5n1MNDyWkQNicxk7zXWkU4DZf5KrKHdoOIAZp5LiiQ3Ex+qhMVavMZ/DQOgcC5hN0BwLl7njzuBhvEF3R6zajYHxmbrU+wpPNlZYcxtbFhcS83KknWW+JuydyM+fJ58aWunFFhE//wVwzdV2UCMfX1sOnMcAmdV9ruvhdw86uP46L+XWEC0tHn73EKsCPbMMOTgeH4OnPfvrCV+vF160fUZHwj6n7I181ZU2kIl/XtypZlDAwf7Y53TBAg9PPc1R7B1c/grPVGxJ5mpo8PDA72xfWL7WrBxlBanak8xODIt//yRw4qRnWtecPGm3uxwTmL19eYDp5MnRk01u59nOhusKg83RPpO4LeRnHc/04AFMBrrs78ttZfznhQmFV3OMCfuZYLZJDcPvj9szVkJzW8SDWTzwxbM3/P9jOwx+3vLxTK/ghHC4p3v0XsvpwM8Jft7y85qXPJjKn4uK7SBxXCYNDfbMDv/sjpHwteGBP07PPDfYv54TB8hL5fuAP5BvKgd0OW9cjvGDzhIHuGMonw6s/OW6x1CYz52fW6wi9s9aShf/oC4H9OMZNrFOWAaXG18bhvH87OOBV1bXL1zg4fFermNsZeGhep4+34YtVC8CuLN+t1FERERGMOu/BTz44INDfmcFbypuvPFG3H333QOtLJ544glcf/31aZ8fPk4qON9+eOyH4vHV0SM9BoPya6+9dsz7z8nJMRXa9913n/md/ZhZwZzOdh1zIiCOC4lHC4jHwuMdJ07aiRjQsiLZhMnzh+4MTSbuaJmR0QNnd2oqlxP7CzPo5E7zTBhTkctwICCOhcTcqZxIxTdDDFZeP/jw0Moy7iz/+jfAZZfaCj0fd+bjA2TH8fDwIw6uudobs+rp4CHbp7Sjw7ap4E4+Q7/4gwTcGX708dSWM3ee7/2ZbbPBdSse+16uWWMHSeLI9TydOxTy0NTs4BWXeViyWDvYmdrr9re/s71uGdSx5QlDraefYc9Qz4SDpaV6bWcDDl66e489kMTe9PxMYXjH7QV7v3IbwrY3o1Wespctq4xZlcltwmjbeX7u+QEhP/94UIq9kBkQHjtuKz65rWWLi/j74mcNK2w5sS0FQ2T/8y/xMTjPnBjMsqdx3DjHk46fDwwe+djFflAcC4u5XR8t1OXfMnTnxLM4GJ76B1GTBebxeDCS0/YddrnF90k2n9FpeF6czOf8KK9xKvgZ6PfXj7+cjNeJy5zLPhpx0Ng0NIHmZ9ZP7wOuvNwup3h8rhx7mp/9HFCP6yZbovA9wrNueDDjwq22rcWc1t8Ft24XAvW7gVA3IosuQnTh1olVM4iIiEhGm/Xh8fPPPz/wc2Vl5YjVuok4MF28Z599Ni3h8XPPPTfwcyAQwObNm1P6uy1btgybn2ThcVtbGw4cODDwO8NfBsOpPmc/PPYfQ+HxUNyxePElD2yJzZD4+RcnHhCPByu3GDT67Q64w8MgeeF8YF51enYe080fpMavshrPgHRmJzwWKLDnsrmM9W32fza/+z9zxzfu+mHXuXYZsXrLD4q5A57O/R/uiL7mVbChXNvQii5W9XHnmafS+o/Jx2eAzD7Etlexh8efsFW9yUaA54j37FO6Z69nwmEGK1xOa9cMVpbxsdhCg0FRsgGcGFqwp+aLLw39f+7U3/8AcN65wLmbhy4XLnP+DcNx7mCz+m/JYg8P/Na2sGAIomrVzHHsmIeHHrHV636PbK6brJqsrPDM+5TrEA8ksBcoA6pAQEFBJmpq8vDEk7bKnG0e2NqG72d/QLuHH7EHhkbCqmQeSGDIPNJBNf8AKg9UMSRkCM3tEavZuZ21PYYds/1i0NvUaA8kcn54UJQhMgfni79/P2DlffLMCR5gS1aZytYGk4Xb58SAmD+zdUM6Wkr5rT84sYqabau4TednJcPM0b5X8LYc45gTX0cu64J8G9SbKW/wZz6PdM1vIraU4GedCYhbBoNivzdyunD+TVusuKruoYG9g+zsHDz7XBjPvzD0KAjn5df3D362JS4LbveWLQMqOoFTJ21lO9dJrq/Hjjk471zPDNw4mdvAwKkX4C2ugFeQMMLtdPGicFqPI1C3C07LUTjRMJzuJnPamRN9EpHuJkRWXgMEpmBkRBEREZkxZnV4XFdXhw6WwcSsX78+5b9NDE39AfTOBnsWHz16dEg7igLuPaWAbTQ4kF1vrHRjpPlJvH66n/Ns88m/8kyVVrrwlFJ/cDlWwrL6KJVqUTPwWzOwc6e9D+5oM+zhTj7bLkzX/gfDgZOxHWBW/aTav5jPgfPPqrPVq3JNtQ/X9UzrQcSKNA6A9/Cj9vnHYyUdq/GuuHywiptvf1YNMxxhewgGyOx9vO2ioQEyTzlnVXNdnWcq99inlCE4B1Xyd4a5qWNIzUriRLwNextzJ5g/z6+BCRB5UMLHRc1Qmafych4Tq9u5njJIYqXc4SP2FHRWNZ6udXDVFZ4ZVE9mtgMHeYDCtjs5esxudxicMGBh1R1P8+bEgyxc5xgs5uU5WLvGMwcp2PdaZj4GX3wvM3jlAU9uj/le53u2Zj4/20euNs7LtW0keMZBYr/2YS0IYoExK025TWNYzM8fhpbcjrHFBQ+QseqzodHBvn32QNn8+Z7ZFnKdM73uT9m/q0yoRuZ1l7/Cbrt4QIPBXjoGO+VzHAhaY1N8+Mrtcjr7+pr2T7H+w1xO/LwbNk88y4PLfbW9HftRc1vLQHm0il3elgcFRsKPEW7LkwXLfM55sUs+35G+N5iBcduGVxLHf36kLbBPCOt5mcrAuzxjZ9tFWaiqDOORx4YH2GwHxm0bq5CTfe3mus7qelYd83Z8fjU1XmxgRwfXX+uhpGRytn9u3U5kbW9BtKAC0ap1iFauAbJT2zdIe5Vx/W5TZez0dgChLjidDTY4ZssKrk/9nTZc7m1FeO3NQM4EmnGLiIhIRprV4bHfs9i3gKWaKWKVMls++P2Sj3CUmbN06tQp0wJjIvPDIKmmpmYgfGbPY85bYv/ms3nO8xPO60vHc55tO+TsozderAxiqOgPKOdf8jruwCXusHGnh6ENq484sZfjaLhT6t+W88cdxfgWFyken5gwjsJ+fAL9i1kxxPCTlY2cV67KXM9zczM7oOJO+HXX2HCGp4vH43L65a+Aa6+xO8TE9YA9PBmqBE7wGs8sA1ZK0cmTntkZZmsB3obrB0+gYNBibu0BBw/aQbCSBSsMYBgGM9jxsVLtllfH+pwmhNwMLdjG4uorgXlxvZqJr9Hy5Tb0YeDDU9GXLfXws19wsCFboZWsalqm367d7FntmQMPDKT8HqoMZbiN4MSDTzwoxdf3QIvdllRWeuY9/vJ2B4sXe1jPStSFep2T4cEuvj8ZqrL3LgM3vmf4fpvH6tCCyV9ubEnCtjZsScL2DzyYxG0SW04Qu1qNVG28fl0Al16SBc/rS3rgjkEag0M+Pz5PhqBcj7g9YvjG6kxu01essNv2+DMS2JOdEw+MHTrsmDMYSktj1chNdmJwxyCzonJoNTKXG3vLs3KUf8ftarJAlfOTGAQn+z2dlbhcTGYAuhDQHwJC/XE/xyYuN39x8rEZkPL5cdufbF74nYHBOyfTJ7nRfnacOD7+ams+Ll8rTlzGIzHLLi5Y5nuf73uGqByjIJ3jCph+0AlVxPxOlI7AfsECB699jWfaNvE7UTy+H/jZxgMSXD8T+b3++ZnJQJ6fcVxmq1Z62LOXvZAxKdyGvfCKOuF0V8LtbIB37PfwShbbILl8+eRW+HqerTKu3wWn+UisyrgZTmc9nP4ueIEseIXVtio61A23+ZAJmBEJI2v79xFeexO84tT3M0RERCRzzfrK43gMX1PFHbzq6mqcZBllkvua6vkhzo8fHofDYTQ1NQ27j7N5jKqqKgSDQXPfdIY9ByagkXuAs9SG9VG8vH349WyJwDDQjEheZHekzWWsojhZXsCdupEqd/wdbQaIDCD4svLlYGVyeIw2Gdzh23/ATsSwOic31sKBrRy4frsJrR0SL2MtIXhjN65dxMAlK8/6gdrTQEtci4axcPksYruNRTb89HeceUyFE993oZDtwcADLemqPOYOfE+vfS7ZWUAwa/JO5fUxSOXO8PMvDA3U+Rr+5KfA5ZcPBsAMCyrLbZDLMIWvYWenY0IHVg8yOGbgxx1vVmdzgCvehgHKs88CJxN2kn3r19lTohkM8PaJuDO8Z6/toxk/j+zZfd/PgfM3A2vWDl9/WbnHnW8GGnw/cHBHrqdPP+2YcJmnxRcVza0Q2a67oYH2QTOlap7zwXVo+w5voKqOVet8dXjwgMHa0qWDFZ8Mjhbn2W0TA1BWqR527On17Iu8e7etQGYYyar5TD/YM1H9/Z4J8loZErcPVmTyemLox20a33t+KMYqbr7nOeAZL/k6pKvlS1+frTY+dNgzrx2DLwaYDMP4WGyP89JLdkC0RHztt13IA0O5ZpsTv+3l1wF/cDPeL7cFDPr4+WTDT35XsgfA2N4mJ8c+Hy6PkTBIr6q0BzI4XxyQtajQM62gWpptOwYuNwaLFeVDz4JgJTNDVYbifb1ALgPP2JQ1SvWsbzztk+KDYU78mcuUA8r513F5xr/V+fhZQfsZkx2b+B7j79zOczA/HqBhOMnfuSz53kp2INnHv+dBG058LXiAj58V6fyqxefG9ZXrcNp6QxfGwuFYew4Gxuyfneyzl+sdp4lI9r3h0ouTf7bxeXIcgnVrAHaNS1YFTgyQ+X9s1cSDJU1NDhobx/9ezW5txVhjFje7FQi3dsGpr4fnBuDllcHLOwMc22PD2/LliFasgldYk77Tyvq74Tbuh9u4D05fJxDqgdPVAKenxVYZ5xQjmr8QyOXcO0AXNxzZQM4yuM2HgdYXEC1bDq/5O4guvRTRyrXpma85ZqZ+bxBJhdZfyVRzad0t4xeaNJrV4XF3wl5CPr+dj0N8SwkGqvxSmmr/4GS6EpLCs5mfZPeX7Dmn2haDXNc1rTE6YylT4n2lag3PdxUZwQtaMsb2Fyd/QezfDdz744n//b5d6ZwbEZmpXp7AWTUimYqfjff9dPIfh83gxvoYvf7TP8buyZ8VERERmWO8NAfjk1x7N70Sw8/xBr+Jt08W1k7n/CQLdxOvyx7neYDxjzHR8FhEREREREREREQy36wOj+P7C1Nif+CxJAavifc3E+cnnY/hD84nIiIiIiIiIiIic8+sDo8TK3X93iap6k9owHY2LSuman7S+RhsYSEiIiIiIiIiIiJz06zueZzYU3i8lcOJtx9P/+CpmJ9kPZMTr0sMnMfzGOPtyezbz9FuZrEf/9TD0aOeGShp7bqJ3w8HVOII6OyG0tllf2ZbGjPITDFQVDzyYC6zjVkWvXYwob6+LHR3e+jrtyM78XgIB0PKy7cDtfGYBgfc4UBNXE4VlUB5mR1YiQPzBALpG8ArGvXsa9RtXyd2cuFrxfnk77w+HPbMJUd2Z7E+54UDSHEwpJFwMMMXXhw6kA/xuV1xuX0uPg489dTTyQcy4kCNW7bYgctGGkeH83y61q5f5aVAdY0dPI/X8e8XLx4cLC0en9MTv7ejzScqKQIuu8wu71Re245O+zw6Oux1HGirtNQO5sjXa8F8+xwWLEjv6zeV/aROnnSwZ18OOjo8BIN9ZrBCPqd0DYiW6qBpDz/CwcQ8M9ATX/OF84GXttuB8hJtPZ+DpNlBoThwGQeGGsv8Gjto2cKFQwe+4vu3uckOrMb1moN8cX0279k8+z7219HCAse8/pw4jgMH0+JgmnxPp+O14AB2XG8bm4CmRn+ePEQidj57uoHuHvveiI0PawY24/xycFEOSMmfeSKO/xy5HvO9394GM7AbH8P83D72IKY+3hff29w+cOLPidt4LrtQv523rh77GnK7wuv593yvcntotkd8T8fujx/dHDwz2etMXBfPP29w8D4uCw7CykER+ZnD17OiIg8XXZiFyorOGfnZw8EIjx4DDh7k9tC+nv4grr6soIP8AjsAHddBLi9+dfM/Q3hdVtbM3sZ0dHo4fhw4cpQDuXhmHfUHZeR6wefMbWdJ6cgD0M00ZvDBENDbF5ti6zYHiCWub2Z7wdcp175e2TmDr2lZeexzngNNltnPEA54Q7wsKSkx7/HHn2jD9h1RNDTa9ZvvD36+xK8jrKl47nmYdSkRB6XdutW+X/ieOnDQbu82n+Ng20UTGDDvwAHgVa8a9Tb/+P5Poq1qwTju1QMi/XD6O4G+TjjRCLysHCCrAF5OIeAEYv/XASfUawbhQ04RvByOcDm+sxFTFg3B6ao38+UVzIOXXYhoxUpEy5ZOzuPNElx387lh4ne1nu5ZPWiTzD5afyWT191wOM98t68o78WqlZ4Z1FrGNqfC4/H2LI6/fTAYPOvK41QGvEt1fpLdX7Ln7A9+l4poNIoefpsf4b5SVcmh5GexoiIP+fme2aFn4JEqbqD8oJgvC3/m90TuNPF+amrs7biD2MDgo9mOxF7GkG2WBcl83lzVGCp2xiYuHz7HsrIs1NQ4CAb7zY6k/7xLSxxw1fInBi9TGcwlfx6e2UF98mlgXpU3sMN64qTdYeWOa7JQd8v5QE018NAjQ0eYZ0jwyKPA5a8Ali0Fdu0GXngBiESHh9HV8+ztuBOdDHeQGRA3N9sd8tWrbIiyZIlj5rGqygYxp07b0Laqcui8cp187WvsTvbuPUPvm6HWgw8Dl15id6zHwvV34QL7/BhQMrCqr7fzxvWbGPDt2uOY+1u10r7GfjgwkzU2eSa0O1PHkC8b9fVRFBaGzDI7eszBpo3AurUM7Sb3ufCAy6OPc/vimXmhVauAJ5+EWS/j1x8uVq47/mvHAPe8c23YymN/h4/Y9ScZ3hcnBjyrVwNrVtt1kOsL1yEGenx9eaCA73Fu7/zH9A8E8cAEA1jej99Zie9lzgffMwyHOPH3nJzRl1tPj33fNTQA9Q1AY6MNGe3/xULY2MEfvxMTtyn8eOP9M0zkz/58cP4ZCHN95LaYl22xiduoYZzRDxQl4kEgTnv32b9j8MttxXxuL8oG34PlFYN/w8f1n0d3bOI8r1xp39MMuJ551r5mifPC5X3ppcDiRYPXcXt78pR9P3K7wPfaooUOXv2qUhQWumhtbZ2xIQa3VZdc7JnXmUE5Q/+CQvs6clkwHM+E7cZo+HosX8YDiZ7ZRvL9eOgw12EeVIU5cM33WF0d0BS0B/H4fuRz96fp+r7A1aafIXHv4NTHyz773iL/IMi8arsecx31T3TjdoABcWVF7LO+wn5+jHZgia93KY9EAbjm6mzMmxfFU097JmDnZ3FTM7Bk8dCQ/frr7PuGB2b9A0g+Htjle58HWzhfXK9KzPeP8a9XLjdMY6gpz0bxvPHuX3CBFccWeCecvjagj0f/WgDHhZMdhVfII3gLbWg8wfeE40VQ3fMUKvp2oTdQjpMF16IvkGzk9hwgmg+nsxboqwfyo/Dc4+AmM7LgPMCd1bubE8Z1tzC2I8H9tZm63RVJRuuvZPK629mVZ/YTSkt7UFHBbCezvztOlVn9aV7NvbI4dfymnSJ+gMffPvG+pnp+6AwTn7gwu4LfsNP4GA0NDYj43+75hdZPM2VCuCi5k+8HpPyZ3wu5c89qIe4Es+LLr/osLHRsSFDlmUCxNRYyMOAzlUZxQXImVBrF4/PmTmR8WOxXjXHHjEEqAyjuSOblBVFQ4KCoMGR2IquqbFA8Vog0XR8+DH1e+xoPu/c4ePElvkaeqUI+fsJWPy5aZJ9XIr7+r74Z+O2DNqzycbmwepT7wlwHEnGZcaeWoWSy9YDL2g9WiKERd8LLyx1cso3vawftHaxQdZCdbef11Ckb9i1dMjR8YgCx7SIbcD3+xNBAkTvcjz5mA4yLLrJVzGPhffP15MT1gcEIQxCGf9xJLy/zzLrB4LW01DFHghkkc32YaRjWPv+CDSAYYDKE7+6OIDfXMSFszhlg3jzPvO9f3u5g4wYPG9bzeab/ufD1/PVvuDw9U0HM14brFw9EMPRMfA2uucpWmvL1DIVt8MRswQQ2lwAXXmCrHhkk87VJhhW823fYieHnmjU2oOE6wxCZEw1U+/bEqg17bSDrB7GcH1tt6JkDCvyZ68JAlXLhYKDMsJfvJb6v/LCYld7E5zIQsMaqcv2PM94nt7nzquz2xq+CZqDM++Ey84Nivg+mav+drxPfe5yI88XKbm5TuExtdaV9n3M5JB6s5Pw/8LvBv0/E985FF9r7JS7z2lq73HhfPLjAKvCLLgDWrWOIkRkfLNzu+tuR2YzPk5+BnC7YygOVDg4dAY4e5TbZnhXDg3GsSua2NH695fuKIXKOHyjn2KCd6wIPlJztdwg+FitzOQ0ExbGf/fc2H4PvZU4MuP2f/fWRZ5nws90PiXnJ253tGQgbN/CzzX5mBQL2ICm3BQzk4583D5xwHeLnbeJZFwzs+T7h+3BGM0flYlXF0Qic/g7zAkRZgRwY34DZiQpCJ7Gy4ycoCNsvE8WhYyjpO4i9Ze9CdzDJ/oHrwitaACfQDKerAYj0wo2F25HF24CsJKc4iYiISMaY1eHxSpblxDk10h5WEo2NjUP6Ba9YkUJ53RgWLlxo+gj7A9GNZ35sheNgeLxkyZKkg+GdzXOu5V5lnHQ857mEOyemspjhaFdCWBw7LZgBhh8WFxU5JjRlWMCcnr/bgxaOCW44MXxikGyq1Vrsddz54Q6Wf9r/TAyS/R1LLgs/MGZQwv2cgliIU1hkq8V4HU8V4U7aggUO1q3LRXGRg7a2voypwuBO8DmbeKqrh2eedZCV5ZkdflY97dtvd4oZCCUGrHwdGSA/9PDw082TBcd8zRPbWsTzKwoZKvDxuUx5JJWVzmyj4O+Uc/m+6iaGnw4cxzOvBU+TZjUkK54TQypex/CO88mwNx6fH8Pqq68auQo6GYYIDDi5XBjY8X5ZMctqad5PebmtuuM8LlnsYf16//Tj6Q2S2aaEFeEvb7ehMTfLDIsZVqxeFTChd0tLyDyXEydsJTqr0rnZ37HTwbq1ngn+0xWIt7R4+PX99pIhqF+V/rsH7TYoHkOb66+1gQnfl0eO2O0W590EtDxIk23DJVYUc+JrwDYrhw7ZisJk+Jpx4mvKwJJ/57c0MWdWFNjJZ/KEfrue+sEyAzCGNfFVyiZUzrMHOPiz/5E30PInFhTz0q/g520YMHMZmPYFsbMX+HHO0JlhPwNjTgyY04WPy/Yb/raZPweC9uAKlw0fb6zNGbeZDLr80+m5rfSrkvk54R+E4v0cjFUbJ3tNklUb87OJ7Um4nPhZxG1wdbWDK17BA5LcDsy8AzQy/EAlp0u2eTh1yjHVyHxNF0QGD6CwMpmvcX+fveTvfH/w/+LXP66vQ4Ll2M/++99fHfhe4/3EVxL7QbF/f/EtJ3iAJ77ti6+ocLBVDSd+hvFystoUrV7lICfbw4MPOyZAZhjM7SO/1sZ/DpfGPoOffc5+/iV+nnJ7wffd+efxyc7w94gbgJdbevZ3E+3D4q7fYX7P7+GwRUacHK8DG1q+gb2l70Rn1pLhf+w48Aoq4AWz4XSchtN6DK4XgXP4YUSWXAQvb3jRi4iIiGSGWR0ez5s3D0VFReiINdrcsyfh3OtR7N69O+1Bquu6WLZsGfbu3Wt+P378uGlFkUov5UOHDg3pRzzS/CSGx+N5zrt27Rryu8Lj0fErNQMPv5LW71nMsJgVxeUMiwsHT8fkDjoDAFZx8pKVxsl2EBkkc9p2EU8/d0zAwzChep5nwgW/IpnXc6eNfX+5E1Y0zUEyd1I7OwbDYu6scgeUO16sKuKy4Kpuq5Hs8zTBSI0NXPjcTe/C4hmYhqeIgSBDVFZhPvUUfx9sZcHXjWFp/KnpxJDshuvt6bMMYkeycYPtb5yswte0qDhtA1gu77Vr7CV3oC/YagPkRNxpZ1UiwwhWEOfn2Qot7iz762n8fLLi/VU3A08/Y8PEeDwt+N6f2bCKf8eDIvY1HXuZ8Ta8b04MMrmcGFgeOwacDHDdttW7DEnKyhxsWOeZ0/Wnum8pD2Tw4M1zz9lKX/91JS5DhnH5+Xbd5fJevswGxnX1NjzkZWWlfQ/v2WurqjefY7cLE9XQ4OE3D3CZ2eCY2x5uD1jNnthSn++9G66z2wpWI/O5mHY51bHq7wb7fHidH+zwvcpA+eJtrHwcrEb2Q95EfL47d9mJf2d6txfFXt8i+zMDJj8c5hQfdfhVyr3xoXJClTKDLb8HsL99YQBketwWDAbM3Dbz+ZiguNEefEvHsSgzz7FwmJcmLI49frL1nds4ninA9ygPKPAYLafEgzDJMPDl+5ET8XG4rrHlx3iqjfm4flU3W6hwO7V1i92mpKPPtEwtbruXLGERgW3R0tTkDHzu8pJfeQfPdvKGtJOID5b9cJl/E39WCddj2/7Dbkf89w3ff34bBx6c9CuJ/fccP7/9fvb++6Ms9h6Zjj7TbNF04/UefvugA9f1TNjOgy5s1xNfe8HndcnF9nOPff7jD8jwub/0sn1fsdXPbFfatw/LO+5DbjTJ0euYLK8XG1r+E/tK3oa2nNXJb8RqaHcZnPaTcJqPAiULETjyOKILzkO0VH2QRUREMtGsDo9p69atePjhh83PTU1NJrBl1e5YXmCj0TgXXnhh2ubHD4/ZImL79u245JJLxvy7F198MaX5KS4uxurVq3GAg3TEwmNWOrPiOV2PIRZ3tg4ftjshJnBhQFowGBazRx4DUlNZXD3+SkPu1JtqXFYaXeyhttZWJJsgudoGU36QzCDCBMkldmfNDj41Oa8UwwiGPKwkju9b7Ff++b1EGaD788F+r/6y4PPh/8/mSreFCxy87rUedu5yzI4nW1mwrQGre1n9yJA1fpA6LiPuvHJnm9WE8SEXd9RZHZisiwxfC1b9Mhzi4mTbAHuas2Pur3re2Mt48SIHt77WwyOP2oppVkDz/vi6suI4cSf7skttQPzkU0N7RZr3wxE7EcMrP0jmJUPzsdZJrsP+adoMLbhec3lxsj11bTXys887WLPaM9XUZxO+pqqx0cNTz7CK1DNhJl9Lzh8ryvn8bKWeg94+b0htGrcFbAXC9Z7hHSeGmeytxffv/gM2ZD53s20rMh6naz389nc2OGYoYip1c4HfPTS8hye3CzxAwe0Tlx9bqvA6vr5cfgx8Fi30zPaEBwIY1LOCnesjQ2CeIcDXnqd5c2IQywMIDKxHGpPVtCRpHn69ObgWC5KLY8Gy/zO3HSNWKcfCZA66xXCb7wt/8Ey+Flyu3Db6YfE4x4odxg+lS/wgLBaGpfBRmhTXEb7v/Wpgvv58r52Ohcn+YJKjMX2YE9qQ+Lg9uewSOwCmj8uLryUfy38fVlU55uyFstLZu/2dS/jZaiqSk/yfGcy1yxkIk02w7IfMHVwvBj9o/Arj+Cnq2fYzfkjstzTidxO+b+PDYb/qfrrHIUg0f76Dm27kQTZbgcxtlhkEb6Wtso63bJn97GG7n8R2PTwgNpsFo51Y3vELVPZtT/r/UScI1xv8YAkghHVt38KB4jeiOfec5HealQOvbCmctlNwWo/DKaqBc+oFOL3tiNRsmvmV3CIiIjK3wuNrr712IDymX//613jf+9435t/95je/GfiZA+VddtllaZuf73znO0PmJ5XwmLdLvJ/RHsMPj9l648EHH8TNN9886v2zqvmRRx4Z+H3+/PnYsGHDmPM1FzGs4OnQDOoYaPkVXjxd3Q+KGfSls/E6d9Z4qjEnBsmnGSQfscFATY0NohjomCC52YZw3JljSMt5TMxpGcj4ATAvzc+xy0h4+O8DP0eGDxrF0II7jX5YzMfmDqRpyRGrLOYO2VyrcGN1GEPBlSs8PB3XyuJkXCsLrid+JTFfI/bEZbXms88DXZ3A8uW24jP+9F8fQwDelwkxK+yy5jrHikJWHo9nefPvbrzBM7152be5qNBWIfM0Xh5r4zzFYxUWAzwO+JfYU9fH+WJYzskPz+bNGwyxOM+jDerk939l+wE+BkNyHjzhsqissNXIu3Y7WLTIw0a2tFiQ/gMSHKDquRdYrWb7izI0ZujCsJP9M/0DAAwst+/wcPyEbUnEbQPbbHD+/So+9r7m82YowediQuRyz5z+zcCdoR/Xl1QC/2PHPLPs2aqCy8RvZ8BBDBOra9mi4rprbPjDx+Y6w9eOj7dqpWOq6bj9OHjIMYEw24WwGtEPfxnc87Xg3zBI5uvI7Qp7YW/daivEuT6n2l7fHzQxsceov23ldqQorlLZXDJgLrTbNG5/eFCB2z4/KI7vGT5eZn1iT/CywYpJbs+SveeS8belpn90rId0qD92GbLLy38u8QdP+HpwHeJEDPT8IJkTw/JUMQjbFldtzHnigQqG07yOZ0KwtzEHRWS1+2S1CpCZhZ/DXJf9FjKJGBB3JqlY9gNmrtd+MBzfcoLrcyatQxzojm2aGCA7rEBmgHzAfo4lHgzi+/Tmm9guaWhgHN8CJt0KQyfR7ZkPMEw5z0NV7wtY1vkrBL3hfXyiCKK98lLkLV2D4MEHEGg7Nri9RgRr2r+Hw14v6vNGKDZxg/BKl8DprIPTfgYI9cLleXt97YgsuvCs+zKLiIjI1HG8TGkqOkHsXXzVVVcN9C9m1fEvf/nLpP2CfU8++STe9a53Dfx+ww034Mtf/nJa5ofzccUVV6A5VpLFthoMd1kxPJJjx47hla98JaKx1G7jxo348Y9/PGrLjVtvvXVIBfG3v/3tUefrhz/8IT75yU8O/P7ud78bn/jEJzARLclSgVnkpZc9U03Kl8zvV8xAjH17pxori9iugAESw5RQKDaITqxHMncO/VNN/fDXn5LhvosJfwO2X2fiz4m/s7ch7587kgz5THXxfFutNJGdy/hR01tbWzOm53EqTp3y8OTTtlKUp/3zlHqGSQsX+JXYg7fl0+aUrFKXrylfc77GrL7kTi3DXwZEF2w5+wHZzpzx8LAZaM0z6xSDObZk4OuaOD/crLICmZWv42UGVqsaDJP5GPGD9SXDHrUMDP1NDAM/3gdD3NISxwS2DARYjXe276sdO+1gcKzOY6jHTTYDRb5e/uaar8P2nYPtKxLxdd2wLtZnM+658WCMHyDzvcjqPS4Dvk/n19iDDiOF4QcOemYgqKZmzwS3DHL4nn/mueGPz4NNV19pH5ttMxhKcnktWsj2BbY6Pf4gg+m5Xm+DFW5TuD0x/aibbcUr10mGKwySEwfu5P+zpQUr+xJbZqSD6Zeeb0PVkbZfqdwHXxMzoF9swDUeGBkps+FHrh8K98cuWfk8JCgODT+g5rfXyAratgBcHnwMBuB+ixY/6E2Gy5lV4H5lMtev+LYCPq73l15iD1b4eCCAB2zY55bbZL5vWdXOauPKCmdObntl/PzXPxPOEEp13e3stP3heSYJP7P4nlqx3H6OJsMzNF5+2R5Ave1W4Morxn86l7tnD0rGKD4Jvb8CXTULcSb/EjTmnouoMzWBam64Ccs77kVpKNYsP0FnzlJg1RXI5tE7ikYQOPg7BJoPDN9PKbgRpwuuGPXxnJ5WoPMMkJUPr3ghvLwShJdcDGSPY7CEWYbrbmFskInOzk5tdyWjaP2VTF53O7vyzP5TVWUP1q7x0lr0N5OUcccnjWZ9eEx/8zd/M6Ta90Mf+hA++MEPjliB+/rXvx4H2RgttnIxqB2pCvfkyZNDqoA5KB7D4NF885vfxD/90z8N/H7bbbfhs5/9bNLbMjB+z3veYwJt31133YXrrrtu1Md4//vfP6Ti+h//8R/xute9LultGWS/+tWvNm09iC0uHnjgAdMzeiJme3g8UzHw4qnmrEjmTg9/Z3UmQwgGGMkCYXPph8LBkdsKMAj2e5SaQXX4c3asZ2qNH/yd/UZ3tgcY/mBrPPjAwdb4evH14Wn6ixJaWSRiQOX32fVDZ1aC8jT0S7bZy3RhYPrYEwyhbNDtD1jGNgfJQi8GzAy6WH3Klhfs1TpezCj8NhAMUhl8jVT9yepVbq4YwDLU484/g0BWyOXkOFi1yoa2bB0zHlzfGCo897wNGvjc/YparuesliaG6jt22BYPqeAyYzW47Tc79DXl82CVKJ8Hq/z4/E2f8EobIrPthR/g7Nrt4amn2ePUvsf5VuHPDLoTMbC+/DK7XBlA8jH8g13nbrYV6qMFQwyOjx61p3jXnvFMYMtNO4NkBpPcXjD0Lq+wA7T5eDsuM/YcZvDMdYM9etkPPZIQsk42zpcfEjMwZuV//HFjbl4YtvoD7g2EwrEpMaTmdjLLD4ZHmRIXK8NjLg8uC1Z08nG5Tvi9oMdqM+SvJwMtLjrtAQAOhBlfbcz3A2/DeeB6w776HMiTPZfH2j7P9m2vzF7jWXf5ucs+8fX1dlvPHUcGyMkGe+X/8ewbDgC65XwHr7jMmbTwGFX26GLIyTNVvGfytqE/cPaD3yXjeBHM734ci7sehIvw8M9XJxed869E/uKVSU9bCxx5FIH64R86p/Ivx/GCG0evoA51mzYWcFx4JYvg5RQiWrUWcBM2zPaH+AeO+7+E19dL/P/Y7y6/5GbDC2SZCmfPzQZiP/PxZwKFb5LJtP5KplJ4PHFzIjyuq6vDTTfdZAan81eYj3/843jnO99pBrGLD1H/9E//FM8888zAda961avwhS98YcT7nkh4zB7ErCSu5V5gDAPij3zkI8iOS0t4FPpTn/qUqZT2nX/++bjnnnvGfM7sdfyGN7wB4VjzS97vP/zDP5iQON6JEydw5513Yj9LxmLY1uOjH/0oJkrh8cwIKRkusXrwxAmGIJ6pMIwPfgd+TgiEh/we+3mq+hjOlQCjo8MzA88dO24rO037iX4bcDHcS2znwNucOGkDLgasDAHZQ5stLbhjOxnVYVz2DLoZpHJ+2caCmxNWOo91EJMBGUNkP0yeaFsBhuN8rqz84gGKxICNqwdbWjBU52MyNOPyYcjLcHPRQgc87segbaxlxDCBr0l9g2eqaBmYm+VdYV8T/jnDBga1E30+vA8G8GxPwkDTnyWGgwxmWfXLoJFBBgN006qh1DGtBrgOvPiSZ0Jgts/gsuF72x9MLR7vn4OmEdcbBo9cBnzMC7YylB7f+tLePtgrlKE6A1fT0qLZrhM8sMBqZK4XI1WP87ViSMvn0RELlE24HAuYE/s0jxffM3yt+PpzXeFzLUjSO5kH1DhxXhgOcdnzdRg1EI4FxonvSx6oYNBvprzYJQfui12ykpzL6cQp+x5nGxQ+Xnyoznniel0YX5U8zsJDbjtYbcz3ALchrFrnesNq41TaoMylba/MPuNddznIIPvFnzrtmYPtpr//MnvwcbrDYx+75zfnbEBt3iXoyFqWtpYWBaGTWNnxExSEk58u016wAcFVFyM42pFsBsgnn0Hg1PDTXepyt+Jw0etGD2cjIThtJ4FoCF7RfDO4XtydJ/0x+fVJwuV4nIcR5sNjsBzIGgiWByY3/jr+bK8fvI6vU/q+byl8m1xOXzvcluNATzOQW4xIxco5Xemeblp/JVMpPJ64OREeE6twP/CBDwy0fqBly5bh4osvNl862RrioYceMsGub9WqVfje9743cEpRusJj2rVrF972trehh99OY1jpe+WVV6KiogJnzpwx99Mel1JUVVWZ9hI1yUbOSuL//u//8OlPf3rIdevXr8cFF1xgqosPHTqERx99dCBgposuugj/+Z//OWpbj7EoPJ5ZGByzgs4f1Gsmm2sBxomTrCS1LSIYCjJoZUDFqmIuBlY/Mig01cmFNgDkaTWsYGXlKMOrycZTfP3+ugwr2S6DFZycl1QHZWS7ibq4MHkiJycwiGNwbQagWzDYK9rHTSlDZN43Vxu/PQFDPA4Kx8H1ONhb4jJjGMqA/NBh2/KF1eAM4Rji8XXg68GevgzSGTqOhPva558XNFX6L28PjRkwM+hksM0w2Q8l/XYFDJE5LwwhGSL7PUtZVcplyICU/Yn9ftLxuF6w2pT3xf9nEG4HUnRw6cXAunUTX2eiUQ7caUNkezDBMwFoc5OtrCXOK9uJcPmlurnxK4D9QNkPlf2QOVkbDN5/fPuJxAEZ+d7xg2IzcbC92EcdD4j5Aa8/xf8tD5bFh8IMoRMDYk7jOajGbRnXzZOxIJmvMZcnn7dflczj21wWXNf9wQT52CO9z3hbhtPcRnAd4uvMAw8b1tsDS1lZqc/fXNv2yuwxkXWX2y5+rrF/PLdlPAjJPvA8CDYTwuN4XcEaEyI3mZYWE/tu7kb7sLjrt5jf8yScJEFrf6AE3YuvRn7NwtTvs/ZlBI89Puz6puyNOFByOzxnlD5U0SicztNwejvhOdwZxaTgfcMJAG4g7tId9rs38Ls7eH2SkNhzHHi5pfDKliFasshWN58FhW+TIBKC23YSTusxuD0tQDQMp78LXjY/TIOIFtUgWrEKXkGlBm08S1p/JVMpPJ64ORMe009/+lMTpsYHtiNhyPqVr3wFi3gu+SgmGh7TY489ho997GPmy+5YOB/suzzeQey+/vWv49/+7d+GBMQjYZDO2/pfwidK4bFM1FwMMPz+ui9vt6fU+mExwykGS36YzDCUVYQXXzx679LJwEot9jY+eMi2TGAAxgCOwedoBUojYRjI8MwPk3mf43mpbVWxrUjmJjq+UtO0tGiOtbToj7W0qLRhPHshsycyeyOzVUh8X2OGovw7Bndc3nx+e/baabQevgzrGNYymC4osAuDnzGs+N29x1Ywj4bLjwcD2NbCX5ZcFgxQ/RYgvJ5nAXC9YFUt55n/F49BLcNh9r7mMVKedcD7YEVdeZmDKy9nK4v0rTd9fbZqb/9B9m72zHLnQHYMM/kRy9fInrUQ6wEcuwzGKnmDcdNYITMra/3BvPi3PHgRP9AVD44xHI4Pi/naE+8/sSLYr44uKnLMuuEPmOffjvM92QfauPx4MIBBMtcVvvf5PFgFaaqS220AbgYRjAXJDJT9k5P4fzy7hLdj4MX+1mzT8orLuP6q37zMHRP93sAD6+wfz881vpf4OcT3EbexUxke9/zD6xF1TyG74+iotws5+ajLuxB1pqXFCKMgJlHatw8rOu5DTnT4vgYrnNtKtyJn5RYEJlA04jbsReDQg8MC6dasldhX8jZE3TGau7ONRSQ0QjFv/JVJglz/uhFeFscMHsFRniOxy2jC7/YyWXBtQ+dY5XJCsMxWG8guNFXJXulSRMqXTbiaVeFbunhwOhvgth6H037KtGZBfyec3jagr9O8xuY1zSmBl18OBHMQzS2GV7HKHgTg6ytaf2XOUHg8cXMqPKbDhw/j85//PB555JGBQfTisbr39ttvxx133DGkhcRkhMdUX19v5uc3v/lN0lC7pKQEt9xyCz784Q+PWgE9mpdffhlf/OIX8dRTTw2pvPYtXrwYb3/72/GOd7wjLTvMCo9louZieOxrj7WyYJ9hBkIMkRkYsQcue5deuJVnQ0xf9ThfC1acMkRmtS7DSYaqDG8ZXp3NbHFT7PcXZija2JB6f1w+rt/agpWXfqsC09Ki3YbIDB5NS4uKwb63DJIZGnPQOgbZvB878KWtMmZl72jH3Ng2gu0kWAlt9ikdx5zRQTyDxV93GfgyRGbLi9HuL+ACy5fbauT46jcGppw/Hkhgj+Fnn7MhbeLfXnmlnRcOxnfksA1T2cuT7QuuvYZV25O33rS0emaQPba2YAjKx2YlnxlgLmwn/+ckH0GD4XLW8KB5yO+x0NfvU+wHxf4JQ3wd4iuDGRb7H+Mc0NRvaeL3QD7bwSXThesKD1wwSObE9wKv41cCbgu4HvN5cpXKywUKCm2FPddZrvOs9l6z2jGtSiZ6NsJc3vZKZjubdZe3feoZDjRtBx/mtpafAzzBj9uVqQiPu+/6Y3hL5wGskjy9E8HGPXC90MjzDBdNORtxxrS0ME3xk94uK9qJZR2/QGXf9qT/35M1D6HlVyO3nBWYE+c0H0bwwP02sIvTHlyMfaXvQNjNx4zlj07sRQdDZRMoJwudeZsQnHC/bWORVwovt8RWsxZWI1q+HF4Rzwwd3xkfGjDvLPR3IcDAuO04nP5uINJnA+OeNjjRCLws9t8rMYG/09dh3mNOJAwvOx9efpk9CBDMM68dJwRGOdghWn9l1lB4PHFzLjyODzhfeOEF0x6CvZArKytNiLplyxYEEhsbTgHOw3PPPWf6ILe1taG8vNwE0WwxkUqInWrvZwbJvGS4wTYZy5cvx+bNm5FOCo9lohRg2PCYrSw6Oj2zPFglu+W8qWlRkWpQ+PAjtp3FqVNAY5MNNRctHt5KYqIYgJrBv07b6srxtLlgQMgQlWGy38OSIRzvr9lvaVFqQ2YGBQw1TZCYx17xNuRNFnD6GCycc46tTo7fZx8pPPYxaGcgzUrmsQYUZKsK9i1mMOi3LGCIeP8DtjI1HoPw666xYQefC+efVbcrV7Ba3cH11/L/pmbdYSUf1wkeZPAD78TlwGUbYqAcC5OH/Rz7nT8nDlhHXOa8S15ycZtq4gJ76Vcjs10DDxL4VcW85LHXmd62J74qmcuRvZJ56Vcl+/2hOfH5sI0Lq6dfcSnX97N7btr2SqY623WXt3/xJdtTntstfu74B5qmNDz2hfuA+r1wa3cgGGob9W87gwtMiNyYew48v6WF56Gq9wUs6/wVgt7wopQogmivvBR5yzfASXF/x+luAvq74RVV296/if/fdhKBfb+EGx0aencF5mFv6bvGVSk944V64PRwJGr2auLop8Xw8sqArDx4WXmIljGIXJZSEKnweAKiYbgdtXBajsHtarAtUPrbgZ5WOKFe24KErwmD/ay4U5TI82IhcrO9bTAbyCuHxypkNwivdAkiFexvpr7IqdD6K5lK4fHEzdnwWCaPwmOZKAUYg60s2BqC4ScrR2fi/D3zLINQz/RAZi9kf8AyhrCsjrQ9ttPzeAzLGCKzhy937lNVUmxDZIbJDANYzcz+vOyNzICV/8/Ace9+9r4c/b4Y1LHSeF7cPn7iuhsI5JhqZsfpGza4Wnx4yueye/fYz4WtNdats+EnA/uewZb8Bpfz9dfbSmU+H1b+MmRkaw4Gxzdez+c9fesPv14wQObEamReMsjvif+5d/Bnhs9D/35o1bJfuczqcE4M1jkQqN/f2q8oZiUur58NuAx54IOtLbhN4M/+17bly20f63RUUGvbK5kqXevurt08cGtbM3EbzQOMPNA35eGxz4vCaT0O79QOZHcmaXAfJ+QUmJYWLTlrsKTztygJHU56u86cpcCqK5BdVJzaE2DY1nbShHUeB4tjlW3VejOYXCKnsx6BPT+DGxn6QdXrlmFP6bvRG6zArMJeuqbKtdW03jBVrnll8HJiQWTJQluNnMdTiZxZFr5xPqfyM9aD09MCt+WYbUsR6R8M8fs77JeFrAIgl1XGRWN/+TRfLvj3zaathWlbkVdiXyvTF5mV5KvgFbKHzez4LjEZMnf9lblO4fHEKTyWtFN4LBOlACOzHDlqe0aySvrkCdtKwK8WZXhqQr7cwUCZQe3ZntjBkJFBGoNkVoil2t6C88JKXgbJrOxle4xdu+wgdCPh/gdbP7CnMQPKkaqk2aKB7Sl6eoJmnyQaDZvgn9WvDCBG2o9hSMGWFoePjF7tnAz74DIc5iXD10OH7D4Og+PycgevvGFmHngYCXc6GIDHh8pDQubYzwyQ+Vr4FcVsHzKegesyHauQ2Z87x/TmTt/z1rZXMlU6190DB+1nWnOzHUiPdzVt4fGQGzUDtWxpsXfUlhYjCTt56Jh/BQoWrxzXSKZOyxE43Y2mIpMDxbn1e0zlcbRqXWxQuQQ9zQju/hnc0NBTZPqdQuwpfRe6s+Zj1uFK0t8Fp5dBJoNIF+Cgenmldlkx0CxfkXSAvYwK31jxy+C25agJcllZzUprVlz7VddeVj6QlW+vD7Ly+iw/o8K9cFtPwG09ZiuG2Takpw3obbOBPQ9icFmzypgHNyYi0m+fDw8EsH0Jw3/TFzlXfZHHkFHrr0gchccTp/BY0k7hsUyUAozM09Hh4ZFHWUVrvzQyABwS/vXYAc/875Qc+C0xVLYDlI3/sVmRytP6j52ACa/7U9ynZo/g0UJnBtwcAG/TRhvOJmLQy8CYVdesiuZz4/fn6uocFBc5qKvvNcEwW1Xw+bIymCHnSOMRcTnt229PkU5hPFdzX9dfB+Tn2YpeBsfsB8zguKLCBsdsZyCSKm17JVOle91l66gHH+Z9eebAHrer0x4e+8K9cOr2wjmzc8yWFr72gg0IrLoEWfywTZUXhdt0COhtscFnQZUJA52uJjNIHnvFRitX26A0UV8Hgrvvg9s3dIC+EHJND+SO7KWYtUwQ2RoLIiOmGtaEyDn+AHtLEGFv3dgAe5kQvjEUdxkYt520Fb8Mylmty4MHgSxTZQ03y1ajx60PHn8eCJT9gNkGywPXJYTp9g+jcDrO2MHvOs/AYVsKBscM50Pd9stiNluFlADBvPSd4haNxCrJ2Rc5BC87z1Yi50xCX+QoT6XqMX2azRTmKL89dgDJUDc8DuhXuQZe8YIZXfmcCeuvSDIKjydO4bGkncJjmSgFGJmJXxhZecuews3NtkcxBwDr7vYGwlZTQRoXKPNnfwA5hrWsSo4PlBkwj6dKmRXPrCZmRTInhqrjxXB3/Trbb5iPH4/PgQPvMTBmcMzfOSgbq2DZQ5kD8FVW5mH+fBf79nWZvrUc7I7LgcuG36k5ACKDZF4m29/hc2C1G1tasJd0MuxtfO3VNnDv7OIgsDagZo/jefNsq4r8/Jm7syEzk7a9kqkmY92trfXw2wf5WeaZz6Fzz2Vv8RkQHscHbC3H4J3eOWJLC/YZ7l58NfJrFo7vvqMRuE0HTBVttGKVqcIMr77BVHgGd/3EtKdwG/fDy6+AV7Y8+YdZqBuBPT9HoLthyNURZGF/yVvQmrMWs1piH15WxeaW2cDTDLA3D9HyFUBRDQpjLURmVPgWYZXxSVNl7LIqly06TCjOFh1hW/HL1hW8Pm6WPfaS4v8xTGYwHPvZPH/zM8PiwfWF9+NXK5swmf/L6mb2/WZbCgbGfR0mQDbVzGwtkV08OBjEZBjoi9wCJ9QT64tcZqqbU+6LHAnDCXXFwmAbEsP83mPCYfP8Bh/Q3N5UVUdCgN8CJbvIHLSJ1pxjK6tnIIXHkqkUHk+cwmNJO4XHMlEKMGYX9v+ND5T5My/93rasHB7oexvX/9bff2JA6gfKrLJlwMygNJV2duwNy76Vx47bsHc0fIwNG4B1a+1jxt8PA2DOc2ubDXc5D35gbKuoHSxfzvDWwZrVpWYdbmxswdFjHvbvZ1sMO9jZYKBuQ2pWDzNI5n0km/+GBtvSwj91mthy44or7MCErHg+ctQG2GytsWC+Y6qRZ8rAipJZtO2VTDVZ6y4Hhb3/t/Yz6ZqrgWVLZ1B4nDCYHUPkYBNbWoTZHRZtpVuRs3ILAiOd7jKSSMgEw6xwNpWPDI7X3mQCM/NYbacQ3HMf3M56OM2H4BXNh1eyOPl9hfvMIHqBjtNDro7CxcHiN6Ap91zMCaFe2xZhyAB7pba9Q3Y+chesBypWoKsvMu3hMQNil61KWGXMwQ/7O22bCNOOw6/4LTUtHQZGr43GB5/2ZzP5gWhcTy6Pb6H4SmXTRzsWLrs8Bc2Fw+XEthTh/ljoXgwvh4+ZnsHjx4VBr3ntOmxVdV7pYF/kwmrT19pUm4d6zICSfuWwWRYDT5rLyIbCZplG4iazrIYH8CYszy6AVzQPXjAXXtkyROatT0/VcxopPJZMpfB44hQeS9opPJaJUoAx+0Wjngk+/SDZXDbbvsn+92y/StkEyj22itivUmbBSWKFMn9moDoSBr9+RTIHy/PxbLtzNgKrVtm2D/7js3ezCYxb7eMy4GVYzNDYBtgOli3lgGXA/Bo7ONtI6257u4cDB4H9B2wlNp8PW1rweTNU5jwwROafJium4YBNtWfs4y5cYPfXOF8MldlSY/kyYPFix1QjZ2UpOJaJ0bZXMtVkrrscHJbthwoKJrZtnYrweEC4F2ivRyS3DIH8ogn8fR/cxn2m8jhatcaEZOH1r4FXVDPkZk7TQQT3/wZue61pLRBlP+SE2wyIhhHY/xsEWo8OuZoB95HC16AufxvmjBEG2AsWVcFxA+jNZmWyDSdNhfJUBYWsMm47AaeVVcatcX2FY1XGnE9WTedMsOI3GrEBswlPGSj322DZhKexgDk+POVbLafIVttyELx0taU4G5x30xe5dbAvMkPkrFz7eywINqFxYkDsRQaeX/LwPDsWnscqtvl8Gdp31tv7YtVzfiW8rFxE522wrTNmSCsLhceSqRQeT5zCY0k7hccyUQow5i62eWBLiJaESuVQyH7rZojrD5wWP5haYpWy6ac8SpUyK38ZxvL2DGO5L8T74P3x8VtbbO9kFmz5gTGrexnMsvKXgTH/LhBwxrXuMjQ/eQo4cMBWRDOUYEU0g+SOTtuig4/FIJmPNxLenn/P25r5Webgyivm1qBxkn7a9kqmmsnr7pSGx2cj1GODYziIVq01LSnCG24xl8m4Z3YgePgROLG+tF75yhFvy/AwcOhBBJr2D/uv4wXX4VT+VQNVrC7CcL1+BLw+BLx+uLyMDv7OS/v/8bdJuL3XD95Te/ZyNOVsQnvWMsA5y5F604nrZ6jLtoHo70QgmA0nrwThQB48BsaxgQhN5akJk9kygVPpxAeFGz4TJgx1m4/CYXsKhrh9nbFB/7rs68GANLfMBqSTvTzYH9oEr+wTnZu8F/JMaUfCZeT3RY5VCftsOOy37Mi2r5fpCx372Q+HU22fwYEye1jx4AKFVSZQj+aU2FYWhdO8zVB4LBlM4fHEzdCts4iIzCWs5q2phpl8DAE6OpxhvZQ5SF+yKmVWKLNXcNIq5bhKZfYHJv6tH1izuozVx8wgGBqzIpgB8eJFNjBesvjsAlpWJ/M+OLEC+eAhxwTJZWWeGVCwuck+N7bb4DwyRGZA7FdEU309cOo0UFkJM1+rV3EQJ3vfIiIi49bfZYNjN8sGx4XzEFp/i2kXMBKGV5H+LgRM39sQnObD8BiMJfsbN4DIquvMIGDBuh1D/mtJ129R0/OUabfB0NfBKCPZjlN+TwNqep5ByMlHc856NOdsRFv2SnjONO/6mvYPhfCyC+2yC3XG+uvG+kNzOWblwmG7gq6GWIsIF57/d36gzMsc20N5XG1JWGXccgRub7utqDVhaCucaMRUt7IP86T3FY7H58XXZKYGxvFc17RyMdXArA6O9Ns+yPF9ntNVKe048AoqTJ9np7MBTvsZs564hdVwj7UjWjQfkZpzgOyC9DyeiEgKMmBLLSIic/XIMAeX48Q2Eb7+fhv6MlBOpUqZ1ca8XXyVMveLGB6z4rekBFi00LaBYGDMymI/MJ6MHsIc0G7zOcA5mzzU1TumNzL7F9fUeGjvsEEyQ2JODLMZJLP3MgcErJ4HLFgAbNzgYNtFdhmJiEhmcjpq4UVtH9Up19sOlxXBWfmmx3G0qMa0qkglkIos3maC5wArJBlKNh1AtGpd8r91HESXXY5wVi6CJ58d8l/Z0U5MpiyvG9W9z5sp7OSiJXsdmnIZJK9G1BlnT+h0C2TByas2vW2jPZ1mcD3TfoSX/Y1wo56tZg1kwwnmmVDZYzuDWM9hBsoeB24zg/HFJgb47M87wFawml7G7acHq4xZ+cxB3HjbnGJEWdk82VXGs4WpzC7ioZPJx3C6eL45WOB01sFtOQ4vtwguDzx01sGrXIVI5drMCN9FJONpSyMiIhklO9sxISqnkaqUzdQycpVyKMxB5gYDY1Y8c+C5ZcvY8mJqAlkGv3619cXbPBw+4pjeyA3FngnAWYnMIPlgi709Q2M+5y3nOzjvXAXHIiKZzulphntmO7zihfAKqhKCv0nEx206ZIPDylWIlixGeN2rgGCKvXYdB5GVV9vBwtgoon6vGWyPfVmT3gcD5EUXIRzMRfDoY5gOQa8XVX0vmSmCbLTkrDUVyS3ZaxB1p28wMnMQOJhj21agxF7pefDC/XAi/MISC5X72uCyywO/ogRzTHUystjuoh5gb2IwUHZtv+C8EnjBPLgc/I4DvnFgN1Nl3BarMs6b+ipjmTi+zqVLzToAViI3H4aTVwGPvbRbjiNas9G8h2dKP2QRmZ0UHouIyJysUp5X5ZgKYw46N9EBkdIZiK9bCzNxHvftBw4eYljsobMLCIdsFfLF2xxTdSwiIpmPFb/I64fTesxUEkZLlgAM/ybxrBKnq8G0LjCDs5WvQLRiJcKrb7CDeI3rjlyE19yI4O6fmoHD3LrdpgVGtGr9iPcVrdmMcCAHgcMPwWGv2xFwUD1WBjPU5SX7xprJ9JDNgseesgMDj9nJCQThBLLg9jXDbT6M7N66Ee8/gH5U9u0wUwRBU4nclLvJVCZH3BlQgcvXPysnNmAd4gLlPjimOjkWKvfGB8q23QUPDHgdebZimcExQ+NQd6zKuCRWZTx9YblMECvN+dplF8NhL+TuRnNAwCmYB+dkrwmUozXnmgp0EZHJoPBYRETmXJVyJOLM2EHmysocXLwNuGCrh+MnbG/ktnZWHAOrVs7MeRYRkfFj1a9T1AOPvUxbjyPQuN+0HjAhcvYoo6eeRZsMt/UEooXz4JUtRaRqHSIrrxkYqG3cAlkIr3s1snb+GNGqCNz6PbaFhTmVPvl9srdytHiBqaCMwIa+bjAL4OQHwnH9Y/nv+D75lgFLtqCffX2bDgONR5Ddc3rkp4Awyvv3mCmKgOmNzIpk9koOuzOop6wJlHNtb+K80oFB3LxIb6zlRZ8NiXtbBwJlh5emyng+vOwiVRnPBuy9XDAPyGUri3rTjsT0Qw73wu1uQbR0CSLVG217ExGRNFJ4LCIic65KOX4gupmK4TZbaXASEZHZJ7LkUniLyhE49rjpPYzeFhPuuvU74eVXwStZaCpIzxp7E7efhNtea4Jbr2QRIvPPRWTZK86+yjkrD6H1r0HWzh+ZSmq3YQ/c5oOIVqweuQ0He/XmFGGCkXVq2P934Xlm6u/vBBoPw2OQ3H2KDR6S/omLCMr695tpRce9aMtaHguSNyAUKMKMw5YTbj48rjs+BsrhXjjRfkTZKznVViSSWQLZ5n3s9XeZsxaclqPmrAWXrSzaT5se5NGKFYAzqe8yEZlDMmD3WUREREREZPbxiqoR3vh6OM2HEDz2e9NWwIRBHOCspwle0QJTmTzh6mAGxy1H4XQ3mKpEjwPjLdmG6MIL0tceI7fYDLYX3PVjExqz/zEf0ytbPqktOFKWXQgs2AxnwWaEWJ3bdMQGyZ0n2CAj6Z/w+tLQITMt7/wZOrKWoDH3XDTmnDszWluMFihn58ND+ivXZQbKLjDvM6enxbay6OuAk18JJxoyAyVGas4x73n1QxaRs6XwWEREREREZDr7mVasQqhsGdwzOxA4+awNgBggt5+C01UPr2Sx6VM8rjCWvYg5MF5vi+1vXFCFyPIrEa3ZlPan4BVUIrz2VQjuuRde+XLTg5UtKDjfMwqrdGs2wqnZiBArdJuOINp4FFkdx0zlcTKsVC4OHTPT0o5fojlnE+rztqI9a9nUDXIoMtr2I7/cHMRxuhqBrno7QGJhNYLHn0K0sNqEyKbiX0RkghQei4iIiIiITDc3iOiC801f4MCJZ+ByILjCeXDbTpgQ2MvhoHqLUwuBohHTfxh9HaYa2CuoQGTVdXaQvknCNhuRVdcDB+6HGwnZ/so8vZ6V0zNRMBde9Xo41esRDnOE3aPwGo4gq+MoXC88Yo/kqr6XzNTrlqM+bwsacregP1Ay5bMvMoQbtFXGsbMX+P7zcgrhRvrNQJmRJdvgFbIKWURk/BQei4iIiIiIzBRZ+YisuAqRms0IHnvCDn5V2G4H1avfg2h+ua3oHamfLYPbxv1AuNcE0axKDK+5yQySN9milauBUA+cI48iGgnBaT0GjwPhsTJyJgtmA1Vr4FStQdjM93FEGo4gu+0IXK8/6Z/kRpuxpOu3WNz1O7Rmr0J97gVoyVkHz9EutkwjDqxYusQcODJVyDwLoGQhAqdeRHjVdXZQShGRcdInm4iIiIiIyEzD0Hf9a+C0HEOAIXJOkTkt3Wk7CefMDtMvmT2Rh/RDDvfDbdwHREOIzltnWl2E178aXtH8KZvt6PzNiIS6EODAdAyymw8h6gbtIHaZgO02KlbCrViJMAcgYwV13X5ktx1O2iOZbS3K+g+YKeTkoyH3PDTkbUV3cHZVeQajnWZYwbCbGf2UA9EeE+RHnay52cqC77fsQtv6pqMOCOYjULcTkQXnT/fciUgGUngsIiIiIiIyQ7FiOFy6GG7dbgROPA0nvxxOxxk4HbXmdHSveBG8gipTaWyCYwa489bDy69EeMMt8PIrpnyeI4svBvq7EOCAfY0h00IjWrXeDOaWca0A2MO5fLkdbK9+P5z6vcjqa0p68yyvGwt6fm+mzuBC0xt5xg+yN4aC0Cks7votyvr3m9+7A1Wm33NH9nK0Zy1Ff6AUM0F2pAXF/UdRHLJTXqTRXN+WtQKn8y9Da/aaudej2nVNKwun5Yjpne66AURLYtsLEZFxUHgsIiIiIiIykzmuGeiOPYsDp56DW/sSnIIqOG0n4LQeNT1OWW0MN8u2qiioQmjDLUDuNPXidRxEVlwNJ9QDeB7chj0m2I7O2zByu4108KKTFxBysL2F58FbcC5CnXWI1u1DVvN+uNHkbS0Kw6dQ2HEqYwfZyw+fweLO36K8f8/Q6yMNZqrpfdb83uuWoT17mQ2Us5ajNzDOgR0nwvOQG2m0QXEsMM6Jtia9aUnoMEraDpvQuzb/UjTmnj+3qpHZpoJhMbcRuSUInH4R4ZXXmAMjIiKp0hZDREREREQkEwSzEVl6KSLVGxE4/iQCZkC6GtMPmVWG0cq1iBbVmHYXyC6Y3nl1AwivuRHBXT8FvAjc+liAzArks+m76tl2GAj3wAn32h7L/mUkBC8rD9HihUBe2eSEmGwJwGpOLufIpUDTIaBuH7K7TqY+yF7eFgAzs/ozN9xg+jhX9O00LTnGvH20Bbm9LZjX+6L5vd8tMkGymbKXoydQdfaBuRdFfqQexf1HUBSrLM42bTRSx8B7Zce9WNL5AM7kbcOZ/IsRdgsxF3gcRK+3HU57remhHqjfi0jNpumeLRHJIAqPRUREREREMkluCSJrXono/FoEjjxmg2IvimjJQoTXvXpyq3vHI5BtguysnT9C1IvCrd9tW1hUrh3aq3mkKuJwnw2JQ71DL6O297DHcJgDCnKQsIIqeMEcON3NCDQdhJddYE7Rn9Tqa4bg89aZqb+nFajbawLyYLhzzEH22nPXorHgQjQEVsGbAbvlOeEmLOp+CFW9L6UUGo8kO9qByr4dZqKQk4cOEyTbQLkrOB9wRn/tHS+CgvBpGxTHKouDXi/Sga1FFnc/hIXdj6Eh91zU5r8CPcF5mNXMAY/5tn1FdyOc5gCckoXweIBFRCQF0/8pJSIiIiIiIuPGQCh8zhvhtByF099lWlacVVXvZMjKQ2j9Lcja+UMTGpsWFhxEr2K1rQyOhoFQL5xwj+nbbFpdsJI43AeHVcZ8ngyas/JMVTEHEoxm5QLBvFhIbquLPXNdLhyGuH3tcNtOItCwzwwcZkLk7EmuMs0rBZZdjOjSixBqPY7omX2jDrJX0rvXTEudXDTnrEdTzjloy15pBnmbStmRVizqegjzel9IOq8UdvLQWXkR8qoq4bXXAW21yOo6hUB07EA3y+sxrS/89hcRJxsdWUsHqpM7sxbx1UNh6BSKQ0dMUFwUOo6Al7wdyGg4mF9v3iJEixYgWDYPWX2NwKnt9jKBizCqe583U0v2GtTmX4a2rJWT33LD50WRF2kw1dR83uzRzOVyouC6yRmUMJgN5FcC3Q1wsovhnn7BtJbJlDYqIjK9FB6LiIiIiIhkclVh+fKzqBWdArnFpgI5uOsniFasgtt4AG7dThMcs9UEeczsAtkmFPZYLRzMsyExA2M3a7DSOKfIVEx6eeXw8kpjP5fZ23GAvtajCBx/CsgpBnpabIhct9vcxoTIvN1kclx4ZcvglC1LaZA9VtSy5QOnsAmSN8QFyWNUZ5+FrEg7FnU/jHk9z8FFJOltOD+dFRcgZ+kG5GfZ18AprgEWnYuI5yHa04xoay281loEu04hGOka83EZCpf2HzATRWORBMPc8Qq5hejNXwwUL0CwvBqBglJkx4W/HluDVK1DqO2EDZE7jiW9Hw4GyKkrWIPavMvQmLs5/SE+W2+Ez5iguMS03zhmqqDjFYTPoKxvNw4X3YrWnLXpfXzOAgfb7G+H01kLNysHXuN+RKvWpf1xRGT2cTwvdjhXJE1aWlq0LGVCHMdBaakdsbm1tRXaPEmm0LormUzrr2Sqmbzuunv2oOSyy0a9TdsTTyC6fj3mEqftJIJ77oPbWQ+wQti0nMiDF2s94bcz8AJB06fVhMKxcNhMDJVTqazmIH2NBxA48RSc3jY43U1w2k4BkT54+ZXw2BN5Klt7MNROYZC9eGz34AfJ7dkr0hYkB6OdWNj1KGp6nh4xsDXVwWUXIHvpBgRzUlxOfP/1tsFrq0W07QyCHaeQFW5DOvUFStFfsBhe8XxklVUjkF80rkphrgceQ+SmfXBGCMz9vs1n8i5GXd5FE68C9iIoDJ+Otd2wYfF4Wm+cyb0QxwpvQtRN83rKKv/Wo0B+FaKFVXbwvJyicW97CwttJX9nZ+eM2vaKjLXudnbloacHqKrswdo1HvLzp+hsgylWVpbetjQKjyXtFB7LbNwJFBmN1l3JZFp/JVPN5HVX4fEoy4ah7sHfwolGTBuKgWB4oIq43IZZ6WgfELUD9QVOPgunrwNOVwOc9tOm4tkrmAeveMHUt/lgpXXTIbgNBxDsOJ7Sn4ScfBsk556DtqzlY/YMTiYY7caC7sdQ0/PUiC0hIshCR9kWZC89B8HcNISWfR2mxUWk9QwCnaeR3Z+8+nokvcFKhAoWASUMi+fBzUtT65H+Lji1u+DW70Qg0jPizbg8OLhhbd6lZl5G43jhuNYbRybceiNej1uOQ8W3oSN7GdLJ6aoHupvNGQvRovmILL9ioP1LSn+v8FgylMLjiVN4LGmn8Fhm406gyGi07kom0/ormWomr7sKj8fAgfA4IN5kt5DwRUJwz2xH4NQLcELdcDrq4HTUmsYGXmENvKIawJ3Cjo4OkJubC6+3A32n9gANh5Ddc3ocQfJGNOaeY3oGjxUksy/x/O4nML/nCQS9vqS3iSKAjpLzkLXsXATzJvE16e8G2msRbT0Dt+M0svrqByJLDw56s6sRKlgIx4TFVXBzJqH3b7xICE7DPjintyPYP/LZs5y3lux1OJ3/CtOXmAc2XC+EwtAJGxb3HzU/B2BbsIxHf6AEffmLke11IKfzWNLH5uOyF3LaWmlEo7b62AnAK1uCyPxzES1fmfKfKzyWTKXweOLU81hERERERESmzlS2jKBAFqILtyI6byMCtS/CrX0ZTuE8OB2n4XSeMZWYHHyQ1cjg4HxTxMktAhZuBhZsRj+rdBsPA40MkhlsJ8c+udW9z5op5BSgKXejbW1hguTBwc/caJ+pMl7Y/RiCXvLq2ihcdBSfa0LjvPwCTLrsfKByJdxKG1SGeBChsx6RqAO3qAqBrBwEpni98Go2waveiBDD1JPbkdV1MukAh/6gf53BhYg6QRSGTo7YK3o0fcFy9OcvgleyANnlrKYugnk3eB7C9bvgHv29CabjH5uvYWnffhwsfgO6sxac7bMGXNccMHFbjpv2MW7dbkQL59vXR0QkCYXHIiIiIiIiMvtl5SKy5BJEajYjcPI5uHVZcApr4LSfgtN2wvQlZj9k9kVOS9uM8WCrjoXnmqm/r90GyQ2Hkd07WpDchZqeZ8zU7xaaiuSmnE0oCJ82fY35/8mwmrWj6By4S89HXqx37bQdRChdPLWB8UiDTpYtB8qWI9RZb/sit+w3wW2iwvCpibfeYFicW2jD4iTzEK3ehGjJYrgHfodg19DXvSBSh3NavoYTBdeaSuSJtC4ZIivftIoBW7nkFCJQ+xIiSy8ZV/sKEZk7FB6LiIiIiIjI3JFdgMiKKxFZcB4CJ56GG8yBUzTfDKrntBwxLS1MiMz+y1MdIlNOMbDwPDP197YPViT3nhnxT7KjnWYQPE4jMaFxwQa4y7Ygt6h4kmY+s3mF84C11yHUtw04vRPBhl2mijtVvVnz0F+wCE5prE9zTn7ysHgkuSWIbnodwqdfQuDkM3C8wepmVjov7bofZX17TS/ksfowj4WV9k5/J5yOM3DdLHhtJxAtWXJW9ykis5PCYxEREREREZl7cksQWX0Dogu2xELkXHihGrhtJ+E2HYKXXYtoySIgp2R6QmQzj8XAovPM1N/bFhck143rbtrz18FduhW5JbZPuKRQCb78EoSXbIVTtwdO7Q4EQ21DbjLYp9mGxaYNRVYucs924Touogu3wCtdYqqQA72NQ/67OHwcm5u/gmOFN6Eu76KJr5tsX1FYDbftFNDbBrd2O6KF1UBgitvKiMiMp/BYRERERERE5iyvoBLhda8yFceBY08CWQVAX7sJkQMN++HlFCFashDILpq+EJlyS4BF55vJBMkNh4AmBsn1I/5JR95qYOkFyC0tn9JZnTUC2fAWnAtv/jkINR1GqK0RkWjAtKHILpvcPs1cLyOb3wDvxDOmV3d8Gw0Ozrei8z7Th/lQ0a1m4L0JySmCx97bnfVwsgsQqN2OyKIL0/ckRGRWUHgsIiIiIiIicx4HzQtvvBVO63EETjxl20f0tpjKzED9XnhZuaYfMkM9horTikHy4i1m6u9pNdXIrErO7rNBcmfuCkSXXIjc8rNrbSAxjguvchWCnKZyobgBRJdeAq98ma1C7h9a/VzafwCbm7+Eo0W3oDFn84QObrD62Gk+AqezHq4bNNX2fC+IiPgUHouIiIiIiIgMDJ62FGG2DGg6aNpZRHNLgb4OOBxcrOO0GWDP9KYtqLIhruNO77LjwGeLt5qpv68TQBTZDL5l1mCYGzn3TfCO/R7B+p1D/i/L68Xq9u+jLGc3jhS9FmE3f3x37gaBwnlw2mtNFXLg9EsIr+IBkqz0PgkRyVgKj0VERERERETiOQ6ilasRLV9hQmS3fjfctmJ40TCc7mYTJAcaD8ALBGPVyFVAVt70L8OcwumeA5ksgSxEV1yJUPlyuAcfRCDcNeS/K/t2orj/GA4Vvw6tOevGddceDzbktMPpqAOCBQjU7URkwflpfgIikqkUHouIiIiIiIiM1Dagaq2Z0NOKQMNeuA174RTOA0Ldthq5uxFuxxl4OYUmRPbyys3fiUwGDqQXOe/N8A4/hmDz/iH/l+11YH3bt1CXewGOFt6MqJuTesV9YQ2clsNwuti+wkW0ZLFt0SIic57CYxEREREREZGx5JUisuRiRBZfBKf1BNyGPXCbD8MpWQz0tsJlkNxyBE7rMRMgm+BtugfZk9kpmIvomusRbloG9/CjcCO9Q/67uvc5lPQfwsHiN6Aje1lq98k2FQXzgM46ILcYgdMvILzyGtvWQkTmNG0FRERERERERMYzeFrZUkQ4hXrgNuwzQTJYcRzpt9XIXY1wuxrhBXNsNXJ+JRCc5kH2JioagdNZB6e/E14wDx77PLM9xnT3ehZEK1YjWrQA7qGHEGw7NmSJ5EZbsLH1P3A6/xU4XnA94IxdDe/llsLpZfuKM0Awz1TaR6o3aUmLzHEKj0VEREREREQmIisP0QXnITr/XBMam97IjQfgFC9IGGTvJJBbiiirkTnAXSbwPNOSw2k7CUTDZnBA26KjFh7bcuQUw8srhZdTkrnB+GyQXYDoulchzHXv6BNwvdDAfznwsLD7MbjRfhwtviW19hVFbF9xBE53A5wmF07xIvM6i8jcpfBYRERERERE5GyYnrHzEOG09DLTzsKt3wO37SQ8Vu72NMUG2TtoB9krXQAUzWNT5Zm53Hvb4LadgNPfjWh+OTy25giyf64H9HfD6W2F09tmQkbXA7ysfHh5JbYqOVtVydMywGP1RkRLFpnB9IKdp4f89/zep9GZvQSNueeNfV98nfOrAIbH2cVwT7+AyIqrVGkuMocpPBYRERERERFJl0DW4CB7vW0I1HOQvT1w2E821A23uxFeVwPQfhqumwuvsBpeXtnMCOfYhoOhcU+rGQAwUr3BhMHR8uWILLzAhsYtx+C2HYcT6jUVyQyR2fPZVF63x6qSc4tNCwQTJgdUlTxlcksQ3fhahGtfRuDE03C8yMB/rWj/KbqDNWYai5dfDqevHU5nLdysHHiNB+z6LCJzksJjERERERERkcmQW4LIkm2ILL7QtH9gWws0H4GTHQS6m4GmE3CbDsELZJnKZY8BMwcum2qREJz2UyYAZtgbrVgJL78C0cIqRJa+Al7JQnMzr6gaqFqLiBeF01kPt+WYGSDQ7ayHN1JVcna+CZEZJtuq5DQMIOh5tpVGpN/2meZl2P+5z14fjQA5RYgW1ZgWG3OG4yK64HwgKx/BQ78duDqAEFa3/h92ln8AETc3hfYV8+G0HoXT3Qy3YS+iJQvsAJAiMucoPBYRERERERGZ7EH2SpcgUroE0XAv8npr4dVuRzRQAPT3wOk8A6ejFg4rd9kmorDa9LKddCYEroPTbtsceCWLbCV0bjEiSy5GtHJt8rCXz6eoBhEGs0u22Yrq1uNwWo7DbT0GJ9wHRENm8LXEqmRTjWzC5FGqkhn8DgmG+wZ/9q+PRgefBueR9xXMNoMUMjSGGzQ9mln5zSpqDizHx01LeJ0BWCkc6ahFoH7XwHX50UasaP8xDpS8ZezlkJVrB4Fk3+6cQgROvYjI8stNJ2URmVsUHouIiIiIiIhMlaw8uFVb4C06H+Hju+DWvgynOR9OyWI7wF5nHdyuRnismmWIbFpaOOkfDK+n2Q6GF+mzgXHxAtO7OLLgfFu5Op4K6Kx8RKvWAVXrYlXJdbGq5ONxVcldtiK5txWIr0pmVTD/Jr56mFXF/qzyqbtZNhgO5JjHMtXRHKQv4E+c18Fl5DH4hAOH4XZPqxnkL9C43z5e0Xx4DEVnQohs+mE3m+pe8yt7S2fnp+3uI8sut8F9V/3AdZX9u9DZ8wRq818x5t97+ZVwOPBj+xm4gWx4zUfgVaxM2/yJSGZQeCwiIiIiIiIyxRy2BihZhHDxQqC3HYEzO0xbCxt4tsDtqEOg6SA8hqYMdwuqTDXtWevrsH2N+zrh5ZUiWrXGhMbReesRWbzt7CueTVXyfESK5gNLLjahsalKZpDMy4GqZPZKbjPhqXleDCdzCgdCYrbyAMNiXsb1gzbX5xTCyy40ATsv7e9F9u/5O28TjcBtOoDAqecRZQDf126qn02bkOBJGyIXVE59r2m23GA/4e5GOD0tJjg3bTWiIfP6+9XfaQm33QDCq29E1o4fwIn0Dly9pPM36AwuQkf2sjH+3r6WfN3Q0wa3bhcixfMBFJ79vIlIxlB4LCIiIiIiIjKd2CZi2WWmN7LbsA8BtrRgdWyoC05HnakQZk9i9iE2wSKrb8cr3Gs4wwFBAAEAAElEQVT7Lnc3mwrcyLx1JrSMli5GZOllNkidDNkFJpgGw2lWGHecsa0tTFVyA2uSB3iua8JfGwwzFLbhsA2FY0Ex21KkEqy6AVMNzdYb7L8cOPmcDWlZAc0WIezny2VaVGN7TXOgv8kU6rGBcXcTnHC/qY72ihbAK6iwITmXDUN9DkbY22YGKUzLYIO5xQivvg7BvT8fqM12EcXqtnuwo/yDCAXG6GPMau28EqCr3rSvcE+/BK/0enPwQ0TmBoXHIiIiIiIiIjMB2zHUnINo9SYTJDJEdrMK4JUuNgPUmUHqGLjmFtuWFhyEbqwQLxo2PY3ZSoIVudGKFTaEzi9HmKFx6dKpa+HAquTiBYgULwCWXGKDXA7SF8yzATFD8XTPCyu8y1cgXLbchMWBU8/BzS6AF+4xQbYN5mvtgIVcpukcsJADEbItRVcjnP4u2/OZAxEyqGcoHsxBtHKVCbjd5sMIcPnklpqf3bqdiJYtt21LzhJf4+jCC8xz9+V4HVjV9j3sKXs34IwenDNcZ6W6Cf4DQaDlGFA+RtWyiMwaCo9FREREREREZhIGnqVLEC5dYlpY2JYWe+AUzTetDjjAXqDxgAkfB1taJASArGRlD+X2U+Zn09OYVbbZhaY9RbR6w9S3bEjEEHcqBgYkv01IySJTzR04/TycrHw4xQttiMxBCzvPmGXpFdbYCueJYBuK3jbTt5qDBYK11bmliFSuMpcmQC5daiq/vbJlA61IGKhHS5cgePC3iGbnw20+Yl7jKENt9kI+y8royKILbS/qthMD15WGj2BJ5wM4XvTK0f+Y81xUA7ftlGmx4p18ESiuPqv5EZHMofBYREREREREZKbKK0Nk+RWILL7Y9MRlkOzkVwD9nbGWFifgtJ+El8/Qs9qGnr2tNiQM99owtHghvKw8RBech8iCraav8FzmFVUjvPZmG8yfeh5uMAdO8Xxb3W2C5Hpbnc2+zVl5KdyhB4S6bYVxTxOcSNgOzley2LalcLNMtbFpo1G1ZsS2IzxgEDr3LQgeetD8jZkftrHoa0e0fOXZ9aN2XIRXXY/gju/D7e8cuHphz2PoyF6ClpwNo/89W4jkFpl1zisohXPyJaDynInPj4hkDIXHIiIiIiIiIjNdMNuEv9H555p+vYHal+Gy9UEk1tKiiy0t6kwvXSfUa1tbVKwyQWWkag0ibBORM0Z/27kYzK+6zlRiB06/ODBg4UCI3N1obhMtWpA8uI302x7GDI1DPWYwPy+/0ralyMo3ATJbUkSr1qbeUzorzwTb5kDB0cfg5BaZQf4GB9OrmXhrj6w8RNa8Es6uH8NhhXTMyrYfYWd5NXqDFaP+uTk40XwEaD8DLxCEkxM7YCEis5rCYxEREREREZFMwfYLZctND190NyNw5mUzyJ5TvMAGmT0tiLDdRW4posXzEVn6ClNpK6PIKbLV3YsusH2mWd1dWG0HuOs4g0DdLni5JYiyEjm7AE5vqwmM0dfGFwQeA+bSxUBuCTw3iGj5ChsY83WYSGsQx0G0eiOixQsQPHC/GVDP9GZmlTkH0ytbMeHqcYa9XCeCRx8duC4LvVjd9l3sKn8/os4o98sWG4VV8LobgP4KMz9QeCwy6yk8FhEREREREclE+eWIrLgakcWXxFpabIfTV2WCzvDSS+Cx1cFUDYY3G7BKe8nFiCzYYgasC9S+BKegCk53M5yOWgQa9sJzHDieZwb4Y89iL6/chKoM6k1bClZ7T7RfcqK8MoQ3vQGBE0/BdQNwckvgthyxg+lxwDo+9gRwQMaI6Zu9f+C6wsgZLGu/D4eLbxt1nfFYvc7wmFXX4b4JPb6IZBaFxyIiIiIiIiKZLCsX0YVbTFsL9LSaCtizHWANc71FCJfn/M1w6/cicPoF22eaFcf9XYjy52Cu6QEcrVyHSNVaIK90cubFDSCy9DJES5fGBtMrMAFyoPEgoqwCLlky/tfacRBZfpWpnnZ7mgeuru57EZ29S1Gfd+Eof+vabDkaBhQei8wJCo9FREREREREZgO2SMifWDWqJMGK4ppNiFZvgNt4EC4rkUPdiJYsNlXGXvGCKavsZr/j0OY3IXj4ITNfTm49nFYOptcxscH0AlkIr3klsnb8EE60f+Dq5R0/Q1dwPrqyFiX/Oz5fJwhEIwqPReYIhcciIiIiIiIiIiNxXESr1phpWnEwvTU3wW3Yg8CRx+DkcDC9w3YwveKF8NiTeTxhNttirLwaWQd+M3CViwhWt96DnRV3Iuzmj9z7OBqBE2Ho7Jm+zyIye02gc7uIiIiIiIiIiEw5DqY3bwNCm283rSyi89bDK6qB034SbsPecVcDexWrEJl/7pDr8rwWrGz7IeBFk/9RIAhEwuxdAURCZ/NsRCQDKDwWEREREREREckkZjC92xBZfCGipUtMGw1E+uDW7QK6B/sYp4IDLkZZtRynPLQPC7seSf4H7LHshWN/rEHzRGY7hcciIiIiIiIiIpmGg+ktuQThDa8z/Zej1Zvg5RYj0HQQTvNh25c4xfsJr74R0eDQNhWLu3+Hkv6Dw2/vBOFxwDz+GB7slywis5PCYxERERERERGRDOWVLERo85sRmbfOtKGIli+H09MMt24n0N+Z2p1kFyCy+gZ4cf2LHXhY1fZ9ZEdah942EAAisWB6nG0yRCTzKDwWEREREREREclkWbmIrL4R4VXXIhqrQmZvYrd+T8ptLBhCR5ZcPOS6bK/LDKDn+G0q/AHzvAjgeXAUHovMegqPRURERERERERmxWB66xHa/CZEyziY3gZ4eeVw2cKiL7UK5Oj88xEpWz7kuuLICSzp+NXQ8NjcOKKexyJzgMJjEREREREREZHZIq8U4Y2vR6RqHbzy5UB2Ptym/am1mHAcRFZei2hOyZCrF/Q+hcrelwcHzCMvAieinscis53CYxERERERERGR2TaY3sprEC1djGjlasAJwG3cD8QGuhtVMAeRNa+E58RC4pjl7T9BXrhuIDx2WHmsthUis57CYxERERERERGR2cYNILzmJngFVYhWrgEi/XCbDplexWPxCioRWXHVkOuCCGFNy//BRWywPAbRCo9FZj2FxyIiIiIiIiIis1FWLkLrXgUvrxTRilVAXxuc1mMpBcjRqnWIzNsw5Lr8aAOWtvwIDjz1PBaZI2JdzueW/fv348CBA6irq4PruqipqcGGDRuwZMmSKZ+X06dPm3k5efIkOjs7EQwGUVJSgpUrV2Ljxo3Izs6e8nkSERERERERkVkirwzhtTcjuOdeeGXL4DYfRTSYC6+oZsw/jSy7HE5nA9zuhoHrKnq3oyuQj9PRMjhh9TwWme3mVHh877334j/+4z9MeJzM+eefjzvvvBNXXHHFpM1DT08PHnnkETz00EN48sknTYA9kpycHNx88814z3vegzVr1qT8GD/+8Y/xF3/xFxOav9e85jX4l3/5lwn9rYiIiIiIiIjMPF7JQkRWXA3n4O8QDfXCaTsOL5hrBtcblRtEeM0rkbXj+3AigwPuLQo/g/bwYrRH5vHe2QF58p+EiEyLOREe9/X14eMf/zh+9atfjXq7F198Ee973/vwzne+E5/4xCfgOOnd+B05cgSvf/3r0d3dnfJ8/+QnP8HPf/5z/PEf/zHuuOOOtM6PiIiIiIiIiMwN0XnrEeltQwAenHAv3OaDiFatB7ILRv/D3GKEV12HrH2/GLjKdaKo7nsOHd55ppcyAjmT/wREZFrMifD4L//yL4cExwyFL7vsMqxduxahUAg7duwwwTF5nof//u//Rl5eHj784Q+ndT56e3uHBceBQMC0zOC8VFZWIhKJ4NixY/j9739v2lgQ5/Ff//Vf0dHRgf/3//7fuB+XjzEZtxURERERERGRzBFZvA3obQW8KNz6PXCbDiDKvsaB0Vtmst1FZMEWBE6/MHBdgdcYu1OFxyKz2awPj7/97W+byl0f+xt/7Wtfw/r164fc7oknnsCf/umfmoCW7r77bmzZsmXSWlicd955uP3223HjjTeisLBw2P9zPhgYf+c73xm4ji03LrjgAlx99dXjeqz7778fixYtSst8i4iIiIiIiEiGchxEVl4Lp6/DDHjn1u+G23jADI4Hd/RismjZ8iHhcQ56zMB7TrgPXnbRFMy8iEwHF7MYq3y/+tWvDukhzKrixOCYWInM28a3qvjCF75gKpHTiX2VGWh/73vfw2233ZY0OKaioiL81V/9lWmjEU/9iEVERERERERkwgJZZgA9r6AC0crVQLgHbvNhEwSPxsvKG3o3Thiu1w+EB3shi8jsM6vD4+9///toamoa+P2P/uiPsHz58hFvf9FFF+GWW24Z+H3Pnj1mYLt0Wb16Ne655x5ceOGFKf/Nhz70oSFVwwcPHsShQ4fSNk8iIiIiIiIiMsdkFyC87tXw8soQrVgJ9LbAaTs5+t8khMfmKq8TTrh/8uZTRKbdrA6Pf/3rXw/p5fumN71pzL9561vfOuJ9nK1gcPxdQrKysnDDDTcMuW779u1pmyf5/9m7DzhJ6jL/49/q3D15d2dzZmHZJQuCipJEQblT9BRPzzPceegZ/sYze14wnAEUMZ2BMytiABXFgIiKKBIEJIddwuYwuSd0d9X/9VTPzHZ1z8z2zHaamc/79Wpmqqa6urq6upf+1lPPTwAAAAAAzDteaqGyh58jL7lAXttqhfp2yBnYM/kdQlF5TrC1RTTbK+WoPAbmsjkbHlvF8e233x5oF7FkyZKyehFbX+Qx119/vbLZrOpp9erVgem9e0eb0gMAAAAAAMyQ17FGuXWnyWtZKrd5sZyurdJQz8QLW5vP4tYVWas8JjwG5rI5Gx7feuutcl03EB6Xq3DZ7u5uv1VEPQ0MDJRUIwMAAAAAABwqd+kxyi07zg+SFW9VaN+DUmawvL7H2QEpR9sKYC6bs+FxcV/gzZs3l33f4mXr3WP4vvvuC0yXU0ENAAAAAABQjtzaU+V2rJO7cIMUjim0934plyldsCg8juT6GTAPmOOm34R3lnj44YcD08uWLSv7vsXLFq+rltLptH71q1+NT4dCIZ1yyinTWsfnPvc5PwB//PHH1dfXp5aWFnV0dOjoo4/213XuuecqkUhUYesBAAAAAEDDc0LKHvFMRf76A8nNKrT7boX2PSC380j/b2O8SFF47A4QHmP2yGXlde2Qk/QkLar31swac7byeNeuXTMOjwt7HpudO3eqXi677DI/QB5z8skna8GCBdNax/e+9z3ddttt2rNnj4aGhvyf999/v37wgx/oHe94h8466yx99atflefZmwcAAAAAAMw74ZiyR/6NvNQCuYsOl0YG5HRtkQqzguLKYzcthwHzMBtkBuU98kd5u+5WeOsNk7ZmwTyqPC4MXE0qlSr7vk1NTVOuq1YeeOAB/e///m9g3utf//qqDC74oQ99SDfeeKM+8YlPKJkM/mMAAAAAAADmgXizskeep8hdP5C3YL2c/Q9JkYS81hUT9jyOeWM9jy1gduq00TgYZ7Bb4W03S9khyQnnBz+0inInJG/0Z+nNKVm28OaN/T0Ultu8VIqVn7vV5fk/dqO8gYjU1yt1hKRhG1+scbe5kcyb8Dgej5d93+Jl6xEe22O++c1v1sjIgcbzz3ve8/TEJz6xrPtbe4snPelJOuOMM3TsscdqzZo1fruK4eFhv5L6pptu0re//W2/AnnMddddp7e//e361Kc+Jcc+BGboUO6L+a3w2OE4wmzCsYvZjOMXs1UjH7vlbI8t02jbjdpo5GMX8LUsUe7wc+Tc91MpN6xQz+NyLUBuWlhSeRxVWo48OdYfOVJ+7oLaCu25V056r5yhntGQ34Lf0dvY74H5/r1G5x/43fMnR8Nkn2MBlMKhqNzlx8ttX91wL63Tu13hx2+WM9IvrystL5eSo+To0+czeF6HxxaSFopGo2XfNxaLBaat1UMtWfuId77znX7l8ZjVq1frPe95T1n3P/744/XLX/5SK1euLPmb7YcNGzb4txe/+MX64he/qIsvvni8ZcUvfvELXXHFFbrgggtmvP3t7e0zvi8wpq2tjZ2BWYljF7MZxy9mq4Y7dltby1ik1f7HuSabg8bVcMcuMKb9CXKjOXkP/kaek5P6HpOaWqRUq19jPCautJ+hxBMROYlm9l8D8rycvGyvvOygNNIjhaL5ViR+DjR687zA6zotdjK0dbmcPXfIyQ1Iq06QE6p/3OjnXHvul7frL/Ky/fL6Hpfj5T9zo7Go/+9wM/8Ol6Xqr6b10922bVvV1v/Wt75VF1544UGrhzOZTNnVx4XVvqbWg8l98IMf1M9//vPxaasY/vSnP+3/LMf69evLWs7OsIztu4suumh8/mc+8xmdf/75JSE6AAAAAACYH5xVJ0nprnwIlx2Wdt8nr3lxYJmY0vkQ0v6OxtS/V3Iz8ob75CTa5LSXFhr6xgLlolB5fHqin3Yb7pPXs83vke25npzBfdK6p8iJH/xEarV4nis9fqu8vQ/K698rr2+X/9yVaZXSjPc1XfU/FVAlxT2OrRK53PC4uGp5Ov2SD9VnP/tZff3rXx+ftm22eRs3bqzaY77qVa/SVVddpQcffNCftrYWt9xyi5785CfPaH3d3d0V3kLMF3ZCY6z6oqenh0EcMWtw7GI24/jFbNXIx26ot1cH+8rc29srl/9vnpca+dgFSiw+UZF92+W0Dii0+245+x5RuODPYSen3HCfRnq75NE/tiGFdm9RaDCt0PCAvFirvKKCyYMba2lRMFn4M5WQ48Sk/p3SUH++P3bf1cotP0Fe2yRBdTXlMgo9fpNCfTvl2G2oR15qoZTqlPoztoAyIxn/3+FsjYtFa6XSHQHmTXg8MDCQvzSsDLbsVOuqlm9+85u65JJLxqcjkYg/gN3JJ59c1ce1/sjWT/ljH/vY+Lw//vGPMw6P+Z8fVIIdRxxLmI04djGbcfxitmq0Y7ecbWm0bUZ9cByg4TkhZY44V9E7vyd30eEK7/xrySLRXL9GMkN8pjWq/t1yRgbyxcKxpnxRcYV5VtUbScjp3Sana6vUvFThx26Sm96n3JKjC3okV1kmrfCjNyqU7vK3xaa9lmX57SvIv61JR75wmn+HGyI8tjC0uJK3kibq62uWLFkSmLZq2mXLlpW1zh07dgSmly5dqmqzyt///u//DpyNtvYVT3/601UL1ie5UDVbjQAAAAAAgFkiEldm098oeucVcjs3KrztZsnaAowKZ/vk5KZbzYqayA4pNNidbykRjUvV7EUcictrXyunf6c/SJ0FtyELZ9P7lVt5shSrbmGmM9il8KN/lDPcK6fnccnNybMB/KK16yYwV1U9PD7mmGNUD4cddlhgevv27TrhhBPKuq8FzVOtq9KuvfZavfvd7w6c8Xjve9/r9x2ulYULFwamu7q6avbYAAAAAACggSXalD3yPEXvvkqKJv0wckwk10fP4wYVGtid709sr1eyBgN0hkJ+pa8f2FqIbOG1m5Xz8K+VW3mivObyijqny8JqO6nhWF9n678cCstrXyNFGMurEmpUN157xYHv3XffXfZ977rrrhkNQDcTN954o970pjcpm82Oz7Ppl770paqloaGhwHS5/aEBAAAAAMDcZ6Fgbv2ZUrw5MD+cHZByDJjXiJz+3VJmWI5V4Uaba/Sgjrxku1+FbNW/TtcWOen9ijzyR4V3Wd5WyVYRnkL7HlDYehxbq4ruR6VwLF9xTHBcMXO257FVGVsvX9fNX0px2223lX3fv/zlL4Em0xs2bKjKNt5+++167Wtfq5GCZuU2eN2//uu/qtYee+yxKSuRAQAAAADA/OYuPKykDYD1PFaW8LjxeH54bP2OvZCTrxivpWhCXsdaOX078v2HkwsU0mgbi1VP9HskHxLPVXjH7Qp1bZUzsFdK75XirfnKZ6egwTEO2ZytPLbw87jjjgsEwrt27Tro/SxkLmxbcfrpp/sD11Xa/fffr3/5l39ROp0en/fiF79Y//Zv/6Z6uP766wPTRx55ZF22AwAAAAAANKhwtLTy2E1LWXoeNxpnsEeOhfqZfinaVJ9A1dpHtK6QmhZLg/vldD2qUP9ORR76db4qeqZymfzAePu3yOndkQ+PU4sIjqtkzobH5txzzx3/PZfL6fLLLz/ofb797W9Puo5KefTRR/VP//RP6unpGZ/33Oc+V+9///tVD1Z1/KMf/Sgw72lPe1pdtgUAAAAAADSwRGtgMuoOyKFtRcNx+ndJdjV+ZlCKNdVxQxx5qQX5VhJuRo4Fvun9Cj/6B4X23Dv9NhYjaUW2XK+QhcY9j0rDPfJal8trWkTFcZXM6fD4ggsuCLRf+NKXvqQtW7ZMuvxNN90UCFE3bdqkM888c8rHuPTSS7Vx48bxm01PxaqfX/nKV2rPnj3j8575zGfqwx/+sJwKnAV66KGHlMlkyl7eAuzXv/71gdYZ9pxXr159yNsCAAAAAADmFifZHpiOetbzeKTCvWxRmX7HA3I8yat0eOx56hi+R0f0fEubu76slpHJs7Zx0ZTfxsLaVTg9jynUv1vh3Xcr/Mgfyu6Z7QzuV2TLb+Sk98npfsSveLdQ2is6oYHKmtPhcSqV8nsKjxkeHvaD23vuuadk2T/84Q/+sp534MPuLW95S0UC3cKg1noaP/7444EK34suukjhcLgij/Gd73xH55xzji677LJA+41i9jx//etf63nPe57uvdfO9OQlk0m97W1vq8i2AAAAAACAOSa1IDAZU1qOZSl+gIyGkMvKGdyX73dsrUbCscqs13O1YOguHdP1GR3Z8w0tHL5LbZmHtbn7MrWOPHzw+4ci8tpWSqlOyQ+AH1Ood7siD13nB8JTsb7J4S2/kzPYJafrkfzmdKwp6cGNypuzA+aNeelLX6pbb71VV199tT+9Y8cOPzA99dRT/UrhbDarO+64o2RAvde85jU67bTTKrotFtZar+NCN9xwg44//vhpref888/Xhz70oUn/vm3bNn3kIx/RRz/6Ua1Zs8avoF68eLGam5v9CmPbB7fccov/s5AF2BdffHHVBggEAAAAAACzm9O0MFBjbOGxz/oeh+P12iwUcNJ78oH+yEBlWlZ4rh8Urxy4Tqlc6XhiIbk6vOfb+uuCf9VwOHhyYcI2Fk0L/QH8LBC2NhZqW6Hw1t/JXXKU3IWWSRUWcnoK7X1A4V13yRnqkfp2SJFkPoQOVaYQE/M8PDbWEsJ6Hl9zzTXjVbe///3v/VsxqzR+2ctepje96U0V347CquYxrvWfmaZy72OPt3XrVv92MMuXL9fHPvYxnXTSSdPeHgAAAAAAME80dwYm4xYee54/OJsXb6nbZuEAG5TOWkE4uYzcWHCAw2nxclo0fKdWDPxGqdyB9qsTiXlpbez+hu7quFC5UOLg646l5C1YJ6dnm5zuR+U0dcrZeaecgX3KrXhCvlracxXe/heFuh/xB8Wzm5dok9eylP7GNTQvwuN4PK5LLrlEV155pb785S+XVP+OsQrg173udRWvOK6ls88+W/v379fNN988ZduKMUcccYRe9KIX+dXYTU11bKAOAAAAAAAanwV3BUKOq7A3pFx2iK7HDcGT079HzkhanhXwzqStg5dT59DtWpH+jZK5ydtJ5Jyowt6Bcbeacru0oecK3df+D5ITKq+NRfvqfKV0/x5/cL+Q68oZ7lVu2fEK7b3f743s9O2QM9Qrr6nTH3zPqpdRO443UTnsHHfffffpgQce8Aevs1YN1tLhqKOO8ls8zCUWIj/44IPavn27urq6NDg4qGg0qra2Nv85H3vssVqw4CCXE8yAPRYwE1b5396eH3yhu7t7wmp9oBFx7GI24/jFbNXIx27onnvUduqpUy7Tc8MNcjdtqtk2oXE08rELlHP8tvY+qNwX/yYw/7aON2lg9dlyF6xnJ9bbSJ+iD/xKTs/jfuWuhbPlcrysOodu04qB3yrh7p90ucFIp0aWnazE4mWK3v0DhQaDyz6ePE2PtZwzve0e7vdDYr+tResKv62F3KxfmazskNSy7NAGxnOk/bsySqdzWrkuocOe8TSlFger6OeKjo6Oiq5vXlQeF7Nex3ab6ywYPvnkk+u9GQAAAAAAYI5wmhZINghb7kDFaSTXJ4cB8xqCVepaGxFlBqTUorJD48VDt/ihcdztnnS5wegSjSx/opJLVys5Wv2b3XieIndeoVBuaHy5lYO/1WBksfYmTyh/w+PN8iJr5fRul9P9SH7brcfxWABuYTLqYl6GxwAAAAAAAJgBa4NgQV5BeBzO9uWrQ1F3joXH2UE5ric3OnV70pCX0eLBm7U8baFx76TLpaPLlFl+spJLV4yHxuMSrcptPFfO3T+SowNjdK3vu1JDkYXqj5Zf+WwnJfw2FgN7pPReKRKX17oq3/8YdUN4DAAAAAAAgPJYcGwB8tCBsDGSG5CoPK4/L+cHr85Iv7xQ2A9fJxLyRrRk8M9+aBxz+yddXTq2QpkVT1Ry8XJFpugzbG0mcutOU2TLb8bnhZXVEd3f1F8XvFYj4bbyn4O1rWhenK88tsekv3HdER4DAAAAAACgPLFU/lYgbOFxdpg9WGdOer8cNyeN9Eux5pLgNeQOa+ngn7Qs/XvFvIFJ1zMQX6Xciicq0bl0ytC4kLvkKOUG9ym8887xeXGvX0d0f0N3L/gXuc40q4dDZQy4h5ogPAYAAAAAAEBZHOt3bMFkgWhuQA7hcd2F+nflB5nLjMhLHuh3HHaHtHTwj1qWvkFRLz3p/Qfia5Rb+UQlFi1WdAYVv7k1T5WT7lKo9/HxeS257Tqs5wd6oO1FVBHPUoTHAAAAAAAAKF+iNRguWRVrjsrjuuvflW9Z4UjeaHV4U+Zxber+mqJTVBr3J9bLXXliPjQ+lMd3QsoecY4id35foeEDA+8tGrlT6YHF2tZ8luolkd2r4/VLNSd2aX/6FElPq9u2zDaExwAAAAAAACibk2qXVzDtV7P6A+jZ3OlXrKICskMKWR/qkbQUSUihfOS3tv9nkwbH/ckNcledqMSCA1XKhyySUPbIZyv61+/JKeiDvTp9rQYji7U/cbRqyvPUOXSL1vVfrbBGpJDU1vcT7d/3HGlxZ223ZZYiPAYAAAAAAED5UgsCk9Y/1/G8/KB54YkHaUMNWlZYeD8yICXb/XkRd0AtmUdKlu1LHSGteoLiHQurszHJDmUPP0eRe38ip+A0w2G939NQeIHS0eWqhbA7qPV9V2rR8F9L/zbcVZNtmAvoPg0AAAAAAICyOalgpWrcyffRpe9x/Tj9u6XMkD9gnhdr8ue1jzwQCG9zTlR9R75E8WOfUb3geJTXvlq5NacG5kWU0cbubyjq9qvaWke26Lj9l04YHA/EViq09qSqb8NcQXgMAAAAAACA8rUEL/ePaVDyXCl7oE0BasmTM7BbzsiAvFBIiiT9uR3D9waWGkyuVby9o3IPm96v0O675fTtmPDP7tJjlevcFJiX8Hp0RPc35XhZVYPj5bSq/xfa3P1lxd2ekr/3JTYodOx5CkVoxlAuwmMAAAAAAACUr2VxMFxyXEW8ITnZIfZiHTiD3XIsuLeWFdGU5Dh+iGqVx4Xc9rWVeUDPk9PzuML7HvR/D3U/Jg12T7BhjnLrTpfbvCwwuzX7qNb1XuXft5IS2X06uut/tTJ9faDi2mSdpPqXnqaW1WsUjhIcTwfhMQAAAAAAAMrmtCwtmRfJ9ed7HqPmHOt37Oak7KAUa/bntWQe9QP9QtHFKw79wdycQvsflNO3XW77SrlLNstLtinUtWV00MQiobCyG8+VG2sJzF4yfKuWDd6gig2KN3iLju36tJqz20r+3B9fp+Fj/14ti6vbqmOuIjwGAAAAAABA2ZxUh7xQNDAvkuuj53Fd+x2n5Xgq6Hd8X2CZwdhShRP5v81YdlihPfdIQz1yFx4ut3WFvOQCuR3r/NYZoe6tE1cTR1PKbXx2yTGzpv8atQ8Ht3Mmg+Id3vsdbej7gcJe8OSFq7C6Os9Q9LhnKZpKHdLjzGeExwAAAAAAACiftUaI5vvqjolk+6TcMHux1nIZOYP75Yz0y4vEpHB0wn7HIy0W8B6C4X6/v7HcrNzFm+W1LFH2yPOUOep8efEWee1r5KS75KT3TXh3r2mRshvODsyz1hIber6rZHb3jDapZYpB8YYiC9W/8UVqOuwoOSFnRutHHuExAAAAAAAAyhdLySsKj0PZAb8yFbXlDOyRY9W+fr/jfGVxPLdfqdyewHKRzlWH8Bh7FdpzrxSJy11ylLyWpcoc/QJ5HWulWJNy68+Ql1ooN7VQTvcjkw6c6C1Yr+yqUwLzohrSxu5vKOKmpz0o3lGTDIrX03K8vONeoERHBQcHnMcIjwEAAAAAAFA+C46LwuOo2z9paIjqCVm/49ywnFx2vGVFR1EriEyoSdG2RTMcGO8xhfY/LC+1QG7nkXI71ipzzAul1ILxxdxFhyu36Ah5HWv8HsehrocnHQzPXX6icgsPD8xLuvt0eM+3/VC4nEHxjur6wqSD4nWvfo6SR53KoHgVRHgMAAAAAACAsjnh6HhQOSaSS8uhbUWNef5gec7wgDzHybcTsfC4qN/xUNN6yf4+3YHx9tnAeDvktq/yq4ZzS49RdtNzSk4cmNy60+Ql2/P9j4d75QxM0orCcZQ77Cy5TYsDs9szD2tN39UHGRTvVn9QvJbs4yV/7o+v1fAxf6/U8plXWGNihMcAAAAAAACYFi/eGpiOeAP0PK61kX45mUEpYy0rklIopJA7rNaRhwOLeQvWTH9gvN33+CGwu+gIua3LlV33NL89hVUWTyiaUPaws6REm7ymxX7FsmzbJhKKKLvxWXJH22yMWTb0Jy1J/2mSQfEu14a+708wKF5odFC8ZzMoXpVEqrViAAAAAAAAzFGJYHgc89L+4G1WDWtDoaH6Qn278u0hMmkplW9L0ZZ5SCHlAuFqbOHS8lc63KfQvgesvDw/MF6yXdkjzpHXvvqgd7VlrDo57OXkDPf67S7cxZskZ4La1VizchufJeeuHwbaVazt/4kGI53qja0fHxTv8N4rJuxtbIPijRz2TDV1HGihgcqj8hgAAAAAAADT4iY7SsJjf+C2HH2Pa8Xp3+0Hx47ryYs1T9jveDCxSqFYvLz1DezJD4wXTcpdslle6zJljnlBWcHxmNyap+QHz1uw3q+ItrYXk/Gal/gtLAqF5Pr9jxPZPVrV/8syBsUjOK42Ko8BAAAAAAAwPamFgcmYk/Z/OtlheeHywkocAqvuTe+VMzIgLxyRwjG/Crm433G2ba2i5Q6M17dTbnOnvPY1cjtWK3v4uX47imkJR5Xd8AxF/vo9eS3L5fRul5dol4p6ZI+xthi59D6Ft98aOBFx3P5P+UFyMRsUr3/lM5RaQW/jWiE8BgAAAAAAwLS4xeGx0pLn+v1y1VDZsbXR0JxrpeEM7JPj5vy+x7LewY6jpsw2xdy+wHLRzlUHHxhv/0PSULcfGHvNS/3WE7m1T528v/FBeC1L5K44SY7nyhnq8dfvLj5q0vXlVj1JSu9XuHvr+LyJgmMbFM/ZeKZSqfzAgKgNwmMAAAAAAABMi9fUGZgOOZ4i3pByVnncKPtyZECRLb+V3Iw869Gc6PB7+FolrD89iwPlkLWscLNysiPyRvsdtxdVHQ9HOhRpCvamDsgOKbT3Ab/ViLtoo79vcutOk7v0mEPevtzKk+R0PyJlhhTa9Vc5vY/7Fc0TchzlDn+GnL9+X6HB/SV/tr7NPZ1PU2rdZjkhOvDWGuExAAAAAAAApqe5dBC2aK5Pww3U8zjUt13OSFpOeo9f2epFdkqRmB8ae05IXrJNsiA52SEv0SYv3jrx4G6NqH+XnJF+eY7kjbaEKO53PNyyXglnkoB8yAa0e1AKRfL9jRPtym58lry2lZXZvlBY2Q1nK3rH5fLaVinU/ahyiY6SgRbHhWPKbjxPkb9eoVB26MBmhhdqZAOD4tUT4TEAAAAAAACmxUu0yAvH5BSExZFcn9/zuFE4mUG/6thJd+WnbbtDjhROyLFevoNd8iKJYKCcaJPGqpPtZyMGyplBhYZ7/cpqRZJ+UBt1+9Wc3RZYLLRg1aQD4zldW6V4i9yFG/wq8syR5/nPu6JSC5Rb/WQ5W38nb6hboa6H5S452g+sJ5RoVe7Iv5H3wK/8YLyv9VjFNpykRPSgXZtRRYTHAAAAAAAAmJ5oUrLgtSA8Dmf6pdyBqtG6G0n74bFxF6zz+/s62UG/XYMFrxYqTxgo900UKLfJs7YXYy0v6hgohwZ253s5W3ic7PDntQ/fb1s7vkzOiSm2cOkEA+M9qlDfLrnNi+V1rJHbvkbZI86RItVpVO0uO06uBdW5EYV2/lVO96PyFqyfdHmveYlyJ/yDv63JyaqmUVOExwAAAAAAAJgWL5ryb45VwI4K5/qlbOO0rVB2UI6b9Vs7WFsERRx5sQODrXk24Fx2eDRQHp4iUN4vry9ZEih7LUvlLjqi5kGy07/L7yXsuK7csZYVRf2OB1PrFCscoM7NKrTvIWm4R27HmnxIu+w45daeWt3tdxxlNzxd0dt3y2tfrdD+LcpZhXNywUHvh8ZAeAwAAAAAAIBpJkoJyYLVwlluY4XHftuKXCbfJmGiMNLC1Vhq+oGyVelaoJze57ftyC09tobPypPTv1vOyIA8GzwukpTjZdU28kBgKasoHmdVv3vu9ffF+MB468+Qu+So2mxyvMUfiM954Fej7Su2yo015wN9NDzCYwAAAAAAAExPOCrPAsDCkCmXlpNrkJ7HnrWoGJZyWSk0jZ65EwbKrt/qwrF2F3bLpOUMdkupYTmhsJzW5fJSi1QLzmCXHAvErWWFbaPjqGXkEUW84H6Pdq44cJ+ex+1J+GGxBcfZI2xgvAN/rwULrd39D/ttRKx9hR8gLzy8NhXG1q5jcL80sE9OuDrtOeayBuv4DQAAAAAAgNnAi7cEpqNeOh+uNgKrOjbW8zh8iLWTVuFrgXJqgTwLihesl9e82O+PbBXA4W23+m0haiHUv9vv3WwtOTQa3ncMF7WsiC1XODEafnuuHzhbuG29mjPHvLDmwfF4+4r1Z/jtPtyOtX747qT3Vv9xs0MK7b0/37LDBj9ccqRkLVcSFR4ccA4jPAYAAAAAAMC0+QPJFYh6A/mq2IKB2+rassL4bSumUXlcJs8GqrOWEX075Qz3Kbz7HtVE/y4/sHY86zs9cb/jTOvaAxPDfXLcnLxUh9z2tVLRa1ZT0ZSy68/0B/lzmzvldD9SvZMNFpr3bvernC1ot97UzpKNCi09SpljLxjtX41y0LYCAAAAAAAA0+YlOgLTMas8NtYuwnoi15Hfs3is8th6Hlf8ARx/wDyna6ucgb359hVty+UlF6pqciN+FbEyA/Is/AxHlcjuVTIXrOANL1p1YDOt6tiWjTbJXbhe9eYtWKfcks0Kuzk5Q70K7X9YbuemyravGO5VqMuC6UH/NfJaV/jtOkLHnCen83Cpu9tvZYHyUHkMAAAAAACAabM2DoViTj489nsN19tI2m8l4VfohitfeeyzgfOaFvmD59WifYW1rHAs9PT7HedbVrQXVx2HmhVtW1jQ67dLXnKBvFBYXvtqNYLcmqfmK6EXrJNG+uX076zQijNy9j+s8O57/d7V7pKj/YEDcytOVPb4l+SDY0wb4TEAAAAAAACmzWsKVtnGNOi3C7AK2XrzK49tsDxThbYVYyyYHW9fMWTtK+6t2mM5A3v8qm4nlx0f0K+k33Hz+gNVvBbM5jJ+iw0/OA43SKuGSEzZDU/32554zUvzA/pZ2D9TFpIP7FFo151+WO4uWCt38Sa/t3L22AuUW/vUxnnusxBtKwAAAAAAADBtXvOSwHTI8RTxBpXLDte/67H1PLaWFeZQB8wrq33FFjnpPXL2h0bbVwSrsg+dJ8fvd9wvz8LhSEohd1itma3Bzek4UF1sg9L5VdfxZrkL6t+yopC1knCXH+/3Y3aGe/LtK5Zslpxp1rlmBhWy1iHDfXKbFvohuRdrUm71k+UuOWr660MJ9iAAAAAAAACmzWvqLJkXzfVLuQZoW5EZVNvIw1quO7Ro+A5F3IHqPZa1r0h1SmlrX5HOt6/wchV9CAtH/UEArWVFNCWFQmofeVAhHXgcV2HFOpcVtKzY7/f69ZyQX4XbaHKrTpHbtCgfbGcH5fRuK//OFjr3PK7Qrr/6JwlynRvlLThMucWblTn+H+QuPYbguEKoPAYAAAAAAMC0efEWeeG4nIKwOJLrlZOtf9uK9v7btXnwu/mJvtvl9Tnqj6xUV3yjumIblY4sq+ggbdb/2Rnpk9O3wx8s0NpX5KzytUKs6thvCZJJS02L/XkdI8EWGYOJ1Yra4HgmM+j3nnatZUXrCimaVMMJRZQ7/Bly7rzC30an93F5iXYp3jL1/YZ6/Gpja4/itS6X17LMD8mz606X17GmVls/bxAeAwAAAAAAYPqsAjaaCFQahzNWeTxU372Zy6ozfUtgliNPLdnH/NvqgV9pJNTih8gWJvdED5MbilegfcWyA+0r9oXkWLCZ7Di09Y6tvn+3HxzbAIBurMkPkttH7g8sk21fq7Huzs5Qlz9InuKtDdeyorh63SqQ/fYVQ92j7SuO9ge8K5EbkdP9mELpffISrXI7j/BbVLjLn+APiqdqDYw4zxEeAwAAAAAAYNq8aFJeNCVnqGd8XtjaVtS78jg7qHiue8pFYm6flgzd7N+s3UNvdJ0fJHfHNmooEhwIcPrtK/bIibUqvO0WZQ87U3ImCEKnw83KGdgrZ2RAnvVvDsfUlN2mmNsffE6dK8d/t4Hj/Cpea1nRwOGxcZefIHf/Fn8wQGtD4fQ8Kq9jXcmAeE7PY35I7y5cLy+1SG7rcmXXnyGlKt1fGoUIjwEAAAAAADB9kUT+VjgrN+CHgPXkZNKK5w4E2gdjfYPbMw/6N+lqDYYXjVcl90XXyHMi02xf0Sunf7sfJof33Of34T0UTnqfHGtZ4fc7bvID1I7h+wLLDEcWKtzUmp/IDvm9ly1cdZsX+wPmNTQnpOyGsxW943J5bav9lhS5RIeUbPefc6j7EckGCmzqlNe2Kj8g3tpT5XZuqmjrEUyM8BgAAAAAAADTF476QV6hqDsgJ1ffymMLTmNuMDweXnmqvOEBhbu3KpqZuio5mdur5OBeLR+8QVknrp7YBnXFjvCrkjPhloO3r2heLqfb2lfslbP3fjkt1r6ifcbPJ2T9jt2M30vatcrmCfodD7esV6Kw6thC1USb3IWHaVZItiu39qlyHrpO3lCXQl1b5A0vyLfriCTyQXG8RbnFRyq35tTG7OE8RxEeAwAAAAAAYEa8eGswaPLSfuVrPcWGdvnVxIWczsPk2AB/3lM0MtQtb9+jUtejig08LkfupOuKeMNaOHyXfzP9keV+VXJ3fKP6Iyv8qtkSUWtfsUiy8DjWotD2W5Rbf+bEy5bBAlS/ZYUV2cZSiuZ61ZzdHlgmtHDVgeUHu/zg2NplNHrLikLu4s1y9z/s9zYO7bzTb1Xhta2Q17xUXmqh36LCplFbhMcAAAAAAACYES/ZFpiOeVZ5nPEHdJtpWHqoYoPbAtOeHGmsQtoqcpMdclZ2SCuPUyY74vfSze19TJHerfm2G1Ow0NZuq9LXKR1eorvbX6FMOBig+4+ZWihnpE9O/w6FrBey375i0/SfjA2SN9znt21QJOkPJNcxWDRQnhNXbMHi/IRVfVuLh4518lLW+qEyA/bVhOMoe9hZivbtlLvocL+3s9+iYuVJfl9khYgx64G9DgAAAAAAgBnxrDdtgZjSB0LMon7ItRIf3hGYzlqricmC7EhM3sLDFFp4mFzPU2Zgj9x9j8ixquShnVM+Tiq3S+t6r9T97f9Y2nvXb1+xTE731nzP4r33yWldlh/EbhpC1rZBnjSSlpL5geHaR4L9jgdT6xQP5QflcwbzLTm8ZIfcBbOkZUWhWJOyR5yryJbr/eeQtRYVh9DyA4eO8BgAAAAAAAAzYgPETRQeO9lheXULjy1wPSAbaVE+Wj0IP/BdLMcGmVvzRI3YAHVdj8rd/5iivY8o7JX2cl6YuU8dI/eoKz7BoHjRhJRamG9fEW9RaNutyq0/Y1oV2Y71O84MynFdubEmOV5W7SM2sN8BXseaYMsKayUSisyqlhWFvPZVypzw0npvBkYRHgMAAAAAAGBGvKZFgemYBvMtK7LDddqjnuKZPYE5uWiZ4XExa3WxZJNCSzYp5+bk9u1Qbu+jiu67R2H3QF/nNb1Xq2fRBrlOrHRrUovkDPfL6duukFU5771fbueRZT8X6/vr9zu2yuJIQq2ZhwIhtrXkiHaO9gF2s9Jwr7z21fISLfKa8oPrAYeiPs1nAAAAAAAAMOu5RQGldW+wQfMca1tRD7mMYtl864YxXqz50NcbCstrW6nQYU+Rt/5pgT8lvW6t6L9u8mrmlmV+mO4M7FNoz71yhnrKekgnvT/fP9oqoGMpf10dw0UtK2LLFY4nC1pWePmWFR3rS1tpADNAeAwAAAAAAICZsRYPRaK5filXn8pjJ5NW3C0KZ+Ojg+VViLvwcLmto9W+o5YP/l7JbLBdRrB9xYJ8+4rMkELbb81XZ5fT79iqibND+Spoz1PHyL2BZbJta8d/d4a6pGiTP9Ccu3B2tqxA4yE8BgAAAAAAwIx4sRZ54XhgXiTX6/c8rovsoGK5YHgccofzA/hViuMou+50eQW9i0Nytbb3x37AOxEv1emHuk7fDoUGuxTae//BH6d/l5yRtBxP8qLNSuT2KpHbH1gkvGhV/hc3Jw31yEt1yIsm89XOQAUQHgMAAAAAAGBmosn8rUA401+3nsfO8IBibm9gXiSXVmjnHXJ6HstX8laCtYZYdnxgVnv2YS0avuMg7SuG5AzsV2jPfXKGg9sZkBuWM9Ttt6zwInEpHFHHSLBlxUioRdHW0QELh3v9QfX8lhUL1k1rUD5gKhxJAAAAAAAAmBG/yrU4PM4NVLbSdxpiQzsVUi4wz1l5rLzmJXL6dym04w45fTvLahtxMLkVJ8mNtQTmre77aWAwvQDbT377ij1yMoMKbbvV71E8kVD/HjlWxTzSn29ZIZX0Ox5uPtDX2Bnsyr8OkaTcBbSsQOUQHgMAAAAAAKBilcd+z+M6VR7Hh7YHpj05UrxFbvtquUuP9ds6OD2P5iuRB/ZM2maiLOGocmuDg+fFvX6t7P/VpHcJtq/Yr9DeByZczoJuf5A9Nycv1uQH0i2ZrcGFFq4ZXanrD5ZnVcdeJOYP7AdUCuExAAAAAAAAZpgsReTZIG0FIu6AnDoNmBcb3BmYzjgpv4VD9tgLlFt6tF+V6y49Rl6sWaH9WxTa9VdpsGvGIbK3YJ3cjgOD1pllQ39UU2bbwdtXpPcrtPseabiveK1y+nfLGemXF3KkaEptIw/4fZXHuAortnBJfmK4T46bzbesaF/jvyZApRAeAwAAAAAAYMa8RGtgOuql61d5PLIrMJ0LN+WrcZs6lTv8mX6I7HYeKW/hBuWWHOVXD4f3PqDQnolC3PJk1zxNnnMgsHXkjQ6eN0lrDKvUTi6QBvbIyQ4qvP2WQPsKZ8gGHBzy+x1bcGyBc3G/48HkGjmR2IGWFfZ7rEkeLStQYYTHAAAAAAAAmDEv0VYSHju5TEX6Ck9zSxTP7A3Mca0quqAy2kLk7Ka/Veao58lduN4PknOdG/1tDe++R6G990uZ9PQeNtGq3MoTA7Nac49p8eDNk29palG+fUXvToWsAnnfg+N/s6pjf9/Zdti2e646hu8P3D/XPlrt7Hn58NhaVoTC+cpjoIIIjwEAAAAAADBjXqIjMB3TQP6XWg+alx1WPNcTmGXtKbx4sK2GP79thbJHv0CZI58tb8FauUuOkrvwMMkGstv1Vzn7H55W9bS77AS5ifbAvFX9v/BbeEwoFJLXslTKDubbV+y6WxrJVz47A7ukzIAcz7a/Sc3ZxxX1guuJLhrtazxiLUIy+fC4bZU0Wo0MVArhMQAAAAAAAGbMSy0ITMeUr9z1Wy/UkJMZVMwtCo/jzX6APPEdHL/NQ+a4Fyu74elyO9bk+yG3r5Ez1JMfVK/7EcmqqA8mFFZu3WmBWTENalXfzye/j7WksPYV6b359hXbbpVyWTkD++SMpOWFo351csdwsGXFUGSRwk0t+adgVcfhSH5QwIXrD76dwDQRHgMAAAAAAGDGvKZFgem4MyTHy0nZGlceZwZLKo9DyRZpsvB4jBOSu3izMsf/g7Jrnyq3fbXcZcfKa10uZ2BvPkTu3Sa5uSlXY5W/uYWHB+YtHb5FLSOPTN2+womMtq/Yp/C2m+RYywrrdxxrmrDf8Ujr+oKWFfvzVcf2HDrWTf08gRkgPAYAAAAAAMCMuc2LS+ZFXOt7XNvw2BnpU9TtDcwLp1onrzwuFo7KXfEEZZ7wMuVWPjFfiWwhclOnnN7t+RC5f9eUvZxza06VF4oG5q3t/ZFkYfpk7Stal422r+hSqG+X3+7DyY74LStiuR41ZXcE77JwVf4Xu092OB8ety7PD8QHVBjhMQAAAAAAAGauqbNkVtTtk2rctiI+uEshBYPdUNLaVpT2PJ5SJK7cmqcoc8I/Krfs+AMhcqLNb2MR2nmnnPQ+v/K3RKxJuVWnBGY1uzu1NP3HqdtXWN/o9J58cGwtK5z8/PaiquOsk1Cso/NAy4pQWIq3yl1AywpUB+ExAAAAAAAAZswflC6SCMwL5/pqXnkcG94WmHYt9rJgdrrh8fgKm5Q77Exljn+J39bC+iO7S472K3xD+x5SaPfdEw4KaH2T3dTCwLxVA9f6VcSTsepmv31F3w5ppF+KJP0+ysX9jgeb1vnzx8NjG6TPWlYQHqNKCI8BAAAAAAAwc9YuwcLOAuHMgJQdrulejQ/tDExnnVR+ULx4mW0rJpPsUHbjs5Q55oVyFx3h33KLN/nBcahrgn7GTki5dWcEZkU0rFV910z+GNa+omWZ37fZGe6XEq1yvIzaRh4KLOZ1rBl9ckN+hbKS7fm2IfH8AHpApREeAwAAAAAAYMa8aNK/FQrn+msfHo/sDkznwk3yQqGSYHumvJYlym5+rjKbnyOvebG89tV+9a/sVrLsUuU6NwXmLR65Q20jD07+ALGUvPY1cltX+BXFbSNbFFbmwDrlKLZouf+7M9gtz4JxC4+pOkYVER4DAAAAAABg5iw4LgqPoxYe52oZHnuKZ/YF5rjRJskGy3OsgXCFWGDbvlq5tU+Tl1roh7eh7kckt3RAvNzqJ8sLB9t5rOn9sRwvO/n6bT8mWvzH6Ri5N/CnwfgKheL5/ewM7pcSbZITlrvwsEo9O6AE4TEAAAAAAABmLhQpGZQu4g7UtudxZrCkp7Btk/VjrgZ30eFy21fLbV8juVk5PY+XLhRNKrfmyYFZTe5eLRv43cEfwPPUPnx/YFamdV3+F9uvI/3ykh3yUh1+Ww2gWiKah+6//3498MAD2rVrl0KhkJYuXarNmzdr9erVmsvuuOMObd261X/eyWRSS5Ys0bHHHuv/BAAAAAAAmCmvqOdu1EvXtG2FkxlUvDg8TrSUhNqVe0BH2fWnK9q3XV7rCjk9j8lrWpivdC7gdm6Su/tuhfp3jc9bmf6N9iWP03B4waSrT+b2KOEG22FEO1fmH3qw2/9JywrUwrwKj6+66ip96Utf8sPjiZxwwgl67Wtfq9NOO61q2/D444/r6U9/+ozuayHvb3/722ndx3Vdff3rX/dvjz32WMnfLTx/8pOfrDe96U1+kAwAAAAAADBdFmQWinlpObmM5Ln+AHK1CI9jbjA8DiWaS8Lcikq0KbfyZP95Oul9CnVtlbv4qGCbDMdRbt3pcu68Qo48f1ZYWa3p/Ynub//HSVtqdAwHW1aMhFsVaclXGPt9luOtUigqdwEtK1Bd86JtxfDwsB+Ovv3tb580ODa33XabLrzwQn34wx+W5+Xf0LNZV1eXXvnKV+pDH/rQhMHxWLh8ww036CUveYkuu+yymm8jAAAAAACY/ayFQqGo0vlfatW6YqRfMbcvMCuUaq1e5fEod9lxcpsWye1YJ2XScvp3lizjNXXKXXpMYN7CzH3qGLln0vV2jNwXmB5qXp8Pmt2sNNzrh/VevNlfN1BN86Ly+N3vfrd+9rOfjU87jqNTTz1VGzduVCaT0Z133ukHx8ZC46985St+WwcLnKvNKn9te8oRiZT/ctnzesMb3qA///nPgfuffvrpOuywwzQwMKCbb75Z99133/jyH/nIR9TS0qIXvvCFM3gmAAAAAABgvvKSwRYMcQ34P53skLxIcNC4aogP7ZAjNzAvnGpRJl7FymMTCiu3/iw5f/2evOYlcnq35fdFJB5YzCqUQ/selJNJFwyed7V6Fm2Q68SC2+0OqiXzaGCesyDfatUZsupqz38Md8FooAxU0ZwPj7/xjW/oJz/5yfi09Tf+/Oc/r02bNgWWs+rbN77xjerry5+l+tznPqcnPOEJVW1hYT74wQ/q+c9/fsXXe/HFFweC4yOOOMJ/TitX5vvjjPnRj37kh+sWHpv//M//9NtXWLAOAAAAAABQDq9pUWA65gzL8bJStjaVx/HBbYFp1y62jySr27ZilNeyRO6So+XYwHmDXQp1b5W78IhgsBuJK7fmVEUe/OX4rKTXrRX91+mxlnMC62sfeSAQhLuKKLZwqf+7M7hfijZJ4RgtK1ATc7ptRTqd1mc/+9nx6Xg87lcVFwfHxiqRbdnCKmALYGdj+4qdO3f6ofmYhQsX6mtf+1pJcGye85zn6AMf+MD4tIXIl1xySc22FQAAAAAAzH7uBO0TIq71Pa5NeBwb3h2YzjopP7ytdtuKMbnVT5aXaJPbvkbOYE8+5C3iLjxcbuuKwLzlg79XMrt7yn7H6eQaOZGo5OakoR55qQ550YS81mVVejbAPAmPv/vd72rfvn3j06961au0bt26SZc/+eST/TB1zD333KPrrrtOs40NCjgycuDD+a1vfas6OoK9hwqdf/75euITnzg+fe211+ree4MfVAAAAAAAAJNq6hwdDu6AqPUgzg7VZKfFR3YFprORJnlWIBhN1eTxFYkpu/ZpUrLDD3ed7kfz/YkLOY6y606XVzCAYEiu1vb+2Pqo5md4rtpHguN15drX5n8Z7pXjun5/6XzLijkd66FBzOmj7Jprrhn/PRwO60UvetFB72MDx022jtnAKqV/8YtfjE+3tbXpb/7mbw56vxe/+MWB6Z///OdV2T4AAAAAADD3eNYeoqi3cTjbJyc3XIMHzymeOVA8aNxIUz44DoWr//hjm7HwMLkL1vnVxxYCOz2PlS5kwe+yEwKz2rMPa9Hw7f7vLZnHFPUGA3+Pdearla0lhlUcWzsOexygFuZseGwVx7ffnn/jmRNOOEFLliw56P2OP/54vy/ymOuvv17ZbNGZogb217/+Vbt2HTjbdsYZZ/jtOg7m6U9/uqLRaKD6GAAAAAAAoCzRpLxoMjArnO2vTc/jzKDibm9wXqypZi0rCmXXneY/rte2UqH+PdJwfmytQrkVJ8qLtQTmre77mcLukNpH7gvMH4ou9gf+s8pkZ7DbHyjPC0flta2q+nMB5nR4fOutt8p13UB4XK7CZbu7u/Xggw9qtrjlllsC0+U+70QiEegFfd9996m3t+iDFwAAAAAAYAJ+cGwD1BWI5AakbPUrj53MoGK5nuD2xJslu9VavEW51U+S17xYXrxJoa6tfhVyQDiab3FReDevXyv7f1XS73ikZX3+l+E+f0A+v2VFx1opFKn6UwHmdHj80EMPBaY3b95c9n2Lly1e11x93sUDCT788MMV2y4AAAAAADC/Ko8juX6pBm0rnKxVHncH5oWTLflWGnXgLj1GbvMSuR3rpOygnL6dJct41t7CQuACy4b+qKZcsHdzeNFK/6cNwOdFYvmKalpWoIbm7GmK4uBz2bLyR6AsXraaIar1Fv7pT3/qh75dXV1+i4n29nYdfvjh/iB2z3rWs7R48eKaPO/ly5eXrMvaeAAAAAAAAEzJKmGLKn2jblpOLSqPh3sVdfuDm9PUKrcObSvyGxRS7rAz5dzxXXkty+T0bvfbTcj6FRfIrnmaot2Py/Hy7VKdoiEHs05S0Y7OfMuKIWtZ0SEvFJI7NoAeUANzNjwu7Ps73RC1sOex2bmz9AxRpfzmN78JTA8ODvqtMrZu3apf/vKX+vjHP64XvOAFetvb3qampqZpPe9IJKLOzs6GfN4AAAAAAGBu8eLBPr4RLy3lqt/zODa0oyR4DSUtPK5P5bHxmjrlLjvebzXhpPcr1L1V7qKNkuMcWCjRqtzKExV57E8TrmOweZ3iTkga6ZeTHZFr4XHbaskqkIEambNtK9LpdGA6lUqVfd/ikLZ4XbU0MjKib33rW36A/Mgjjxx0+cJtTSaTcgo/lGbR8wYAAAAAALOLl2gPTMe8ATm5jOTlqvq48cHtgWlXYSmSqFvbijG5VU+Ul2z321M4Q71y0ntLlnGXnSC3aL+N8UbbWjiDXfLCVtndIpeWFaixOVt5XBx8WjuIchUvW40QdePGjTr77LN14oknasOGDX6rCs/ztHfvXt1+++268sor9dvf/jbQQuJf/uVfdPnll6ujo2PS9RZu63Ses4nFYhV53tMJrIHJjh2OI8wmHLuYzTh+MVs18rFbzvbYMo223aiNRj52gUM9fq2tQqGYVR47ygfI0epFUPHh3YHpbCglhRy/jUZd32eRuHLrz1Dknh/La1oop+cxP0y2AfPGhcPKrT9Nobt/FLirJ0exTruK3vPDY9m+dULyFq7ns2MG+OyduTkbHg8PB3vqRKMFb8xphqhDQ0MV2y4Lib/zne/ohBNOmPDvK1eu9G/nnXeerr/+ev3bv/2benryI4Za5fEHPvABXXTRRWU97+k850o+b3uOwKFqa2tjJ2JW4tjFbMbxi9mq4Y7d1tYyFmm1/3GuyeagcTXcsQsc4vGbW7BCbsF03En7WUM8HpGTql4VcJO7PzDtRpqVSiSUWrxCTmFQWw/tx8sdeFRuNCzv8dvkpHfK6Tw8uEzicLl7N0q77xufNZRcrabWdnkjaXnKymlfqtDSDWrqDI5Xhenjs7fBwuOzzjpL27Ztq9r63/rWt+rCCy8smV9cdZvJZMquxLVWEYUSiWBD80PR3Nw8aXBc7PTTT9dnP/tZvfzlL1c2m2+efvXVV+vVr361jjjiiAnvY8/R+iaPPefpqObzBgAAAAAAc1zL4sBk1BnODwaXq96geV4uo2hmX2CeG23y21bUPTge5Rz+dDn7H5EWrJG39yGpuVOOVSAXLrPhTLl9u/MtKqzL7LpT839I75ecsJRokzonzoKAapqzlcfFPY6tIrfc8Li4ank6/ZIr7aSTTtLf/d3f+e0qjLW2+NnPfjZpeGzbOhYeFz+P6YbHM33eNuAfMNPLSMbOAFrFvR3vwGzAsYvZjOMXs1UjH7uh3l4drPa4t7dXLv/fPC818rELHOrxGwo1KVl0H2+oS4M9XfKcKlUeD/cqkukKzHIjKQ26EWUb6HM2tPh4hfu6FQonpZ33yV1ytBQKFywRlo7+O6l3l9zkAoWTzf4V4aGenVK0Se7IiDKxTgtd6vgsZq/59NnbXuErm+ZNeDwwMJC/NKwMtuxU66o1GyxvLDw2N954o974xjdOuKxt6759+TNuFiK7rqtQKFTT5z2X34CoHTuOOJYwG3HsYjbj+MVs1WjHbjnb0mjbjPrgOMBcO3691CK/V6+jA/Mj2T4pO1i1zzxnZFDxXFGgGm+WF2tqqM/Z3OKj5Oy5z98XoZ1/ldO7Q17byuBC4bjUsdrqjq3VsZQdljOcltu8TG7T4vwAgA30nGYrPnsbLDy+5JJLpl0BOx3WH3giS5YsCUzv3LlTy5ZZo/GD27FjR2B66dKlqqejjz7a71881oZi+/bgKKLFz/uxxx7zf7dWFzYA3+LFwctGZsvzBgAAAAAAs4dn7SKiCSmTvyLaRHJ9cnLBK50rycmkFXPzY0WNCSUsPK5ej+UZcRx/8Dynf5e81uVyerfLSy2QopMX7vktLBzHH2TPXbC+ppsL1Cw8PuaYY1QPhx12WGDaAtdyew1b0DzVumrNKoet5HzPnj3+dFdX8HKM4m29+eabA897puFxvZ83AAAAAACYRaJJeZGknILwOJzpl7LVC49Dw72KusErqUNNLXJjTWo0Xmqh3OVPkJPLyknvU6hrq9zOTX6wPFl47Pc6dsKEx6ib8voZzELFwefdd99d9n3vuuuuwPT69fU/u2N9bsZM1bu5eFun87yLl22E5w0AAAAAAGYHL5r0A+RCYQt2s9W7Ij02tCPQJsOEmtr81hWNKLfiRHnJDrkda6WRfjkDeyZZMCON9PnL2k1WpQzUwZwNj63KuLDX72233Vb2ff/yl7+M/24Vvxs2bFA9WaVxX1/f+PTChQsnXfbEE08MTJf7vC2cvvfee8enN27cqJaWlhltLwAAAAAAmL+Vx4FZuQEpV73wOD4UbO3p2sBz4US+hUYjCkeVXX+GFG/1e0Q7PY9JE7T1cIbyfZz9lhULKe5D/czZ8NgC1uOOOy4QCO/ateug97OwtbBtxemnn65IpL7jCv72t78NTB955JFT9kcu7Pf8m9/8pqye07/61a/Geyqbpz/96TPeXgAAAAAAMA+FIiUVvxF3QE4VK4/jw7sD05lQKt8GokErj43Xvkq5zo3y2lf72+p0P1qyjDO4X4q3SKGo3A7CY9TPnA2Pzbnnnjv+ey6X0+WXX37Q+3z729+edB31YIHuF7/4xcC8pz71qZMu7ziOzjnnnPHp3t5e/eQnPzno43znO98JTBeuAwAAAAAAoByeBZ4Fom56wsrayvAUGwmGx7lwvuK44QbMK5Jb+1R58WY/QA6l90uD+Upjn5uThnrzLStsmebyxrICqmFOh8cXXHBBoMXDl770JW3ZsmXS5W+66Sb96Ec/Gp/etGmTzjzzzCkf49JLL/VbPIzdbHoyVvnc3V3wYXAQruvq3//93/XAAw+Mz+vs7NR555035f3++Z//WbFYbHz6oosumnKQvSuvvFJ//vOfA1XHU1U3AwAAAAAATMRLtAemoxqQY/17vVzld1guo3gumHe4kZS8cFQKH8hFGlI0qdyaU/3WFV6iVaHuR/Kh8WjLCsfz8r2RF6yfdEA9oBbmdHicSqX02te+dnza2je88pWv1D333FOy7B/+8Ad/Wc870GT9LW95i1/JWyl33nmnzjrrLH3kIx856EB21n/4Fa94hX7wgx8E5ts22fOaytKlS/XSl750fHrfvn162ctepscff7xkWQvL3/ve945PR6NRvfGNb5zGswIAAAAAAMjzB3crEFM6/0u28tXHTiateK4nMM+LNUlWdTwLAle380i5bSvzg+e5GTm92/J/GOzKP49wXO6Cw+q9mZjn6tvMtwYsRL311lt19dVX+9M7duzQ8573PJ166ql+pXA2m9Udd9xRMrDca17zGp122mkV356BgQFddtll/s2qiDdv3qxVq1b5g9NZcL1//37dfvvtuu+++yasKH7+859f1uO8+c1v9p/XzTff7E/ff//9fgsO6+G8fv16pdNpv9q4+HHe//73+/sFAAAAAABgurymA1eAm/hoeGx9j71ocDC9Q5YdVMwNhseOtXmw4HU2cBxl15+uaN8Oea3L5fRs88N3qzz2WpbLiybktS6r91Zinpvz4bH58Ic/7Pc8vuaaa/xpC2l///vf+7diVmlsVbpvetObqr5de/bs0fXXX3/Q5RKJhN75znfqxS9+cdnrtrYV1kLDqoitHcdY/2QbGG8iNiigBc4vfOELp/EMAAAAAAAADvCSwfA46ozI8TJSrvKD5jkjg4oVVR6HkrMoPDbJDuVWniTHzcpJ71No7wNyXFduqkNuxzrJmdNNAzALzIsjMB6P65JLLvHbRRxxxBGTLnf88cfrC1/4gt797ndXtF3FGKvofclLXqINGzYoFDr4rrfK5AsvvFA///nPpxUcj1mwYIG++tWv6l3vepdf3TwR246nPOUp/kCBr3rVq6b9GAAAAAAAAGPcCQZ3i7rW97jybStCI72KeQPBealWKd7Yg+UVc5c/QV5qQT4s9rJ+xbEiSbkL19d704D5UXk85vzzz/dv1qrBBqGzAezC4bAWL16so446SmvWrJn2Ot/whjf4t3JYgGttIYy1jXjwwQf9PsR79+71py2wtvYVFvra9kwW+E6HhcPWO/nlL3+533PZBgzcvXu3X828ZMkSHXfccf5PAAAAAACAQ9a0SJ4cOTowplQ016/B7FDFd25scHvJvFCqTVnreTybhMLKrj9T0b/+QF7TYn/aBv3z2g49FwIO1bwKjwsrgOvd19cGvTv22GP9Wy1YMF3LxwMAAAAAAPOPF01J1ts4MzpQnqRwtldOFQbMiw/tCEznLOaKJOTNtvDY9lvrcuWWHKWwm5PcEbkda6TQvIzt0GA4CgEAAAAAAFAZ0aQ/MJ4TCI8HpGzlex7HR3YFprOhVL4N6WzqeVwgt+Ypft9jZ7hX7ooT6705gI/wGAAAAAAAAJWrPI4kA/Mibr9U8Z7HnuIjewJzcuGUH3TNqgHzCkXiyh79d3b5eL23BJhfA+YBAAAAAACgBqIJv/K4UCSXlnIV7nmcHVY81x2Y5UZS8kIhyQLs2YrgGA2G8BgAAAAAAAAVSpoiJZW/Vnlc6Z7HTmZQsVxPcKY9rt0IYIGKITwGAAAAAABA5cRbA5NRN135thUWHrvB8NhJNM/KwfKARkZ4DAAAAAAAgIrxkm2B6ZgG5OQykper2GPYgHzx4spjwmOg4giPAQAAAAAAUDFeckFgOuYN5n/JDlfsMULDvYp66cC8SKo537YCQMUQHgMAAAAAAKBivFQwPI47A/7PSvY9jg9tK5nnpDpK+i0DODSExwAAAAAAAKgYL7UoMB1xMgp5GSlXucrj+NCOwHROESmalOh5DFQU4TEAAAAAAAAqxm3uLJkXca3vcQXD45HdgelsKOX/9OIMmAdUEuExAAAAAAAAKifVKc8JRk7RbF8Fex57imX2BubkwqPhMZXHQEURHgMAAAAAAKBiPGsfEUkE5oVzfZXreZwZVDzXHZjlRprkOY4UzYfIACqD8BgAAAAAAACVE03mA+QC4Wx/xSqPncygYrmewDwvlsr3PA6FK/IYAPIIjwEAAAAAAFAxnlX/loTHAxUbMM/C47gbDI+deDMtK4AqIDwGAAAAAABA5UQT8iLB8DjqVS481gSVx6FUkxRrqsz6AYwjPAYAAAAAAEDlhCLy4s2BWVF3oGI9j8Mj3Yp6g8F5yRYqj4EqIDwGAAAAAABAZcVbS8LjSvU8jqW3lcxzUh0lgTWAQ0d4DAAAAAAAgIryEu2B6ajSctysZLdDFB/eGZjOKZrvsUzbCqDiCI8BAAAAAABQUV6yIzAdUzr/S+7QW1fER3YFpjOhVP4xY1QeA5VGeAwAAAAAAICK8poWBqbjo+HxIfc99nKKZ/YFZrnhsfCYAfOASiM8BgAAAAAAQEV5qUWB6YiTUcgbkXJDh7bizKDiuZ7ALDeSD49F5TFQcYTHAAAAAAAAqCi3qbNkng2a5xxi2wonM6SYGwyPFUvJi8SlcPSQ1g2gFOExAAAAAAAAKiu1UJ4TjJ2i2T4pO3xIq3WyacWKKo+deBMtK4AqITwGAAAAAABARXmxlBRNBkOoXJ+cQwyPNTKoeFHlsZNsomUFUCWExwAAAAAAAKisSEJeJBgeh7P9h1x5HB7Zr4gX7JscSbXIizcf0noBTIzwGAAAAAAAABXlRUsrjyPZAekQex7HB7eXzkx2UHkMVAnhMQAAAAAAACormpBXHB67A4dceRwb2hmYziomxZL0PAaqhPAYAAAAAAAAFU6cIvJiwVYSUXdATu7QwuPEyO7AdDZkAbVT8lgAKoPwGAAAAAAAAJUXbw1MRr20lD2EthVuVvHs/uCscCr/S6xp5usFMCnCYwAAAAAAAFScl2wPTMe8ATlu1g+BZyQzqFiuJzDLjeTDYyqPgeogPAYAAAAAAEDFeTaQXYGYk87/MsPqY8fCYzcYHiuWkheOSJH4jLcTwOQIjwEAAAAAAFBxbmphYDqutOR5cnIzDY/TihdVHjvxJsn6HTvOIW0rgIkRHgMAAAAAAKDymhYFJsNOViFvRMoNzWh1TnaopPI4lGyiZQVQRYTHAAAAAAAAqDi3KDw2Uet7nB2e0frCg3sV8YL3Dada5MVGB80DUHGExwAAAAAAAKi85EJ5TjgwK5rtnXHP49jwjgkeoy3ftgJAVRAeAwAAAAAAoOL8iuBoMjAvnO2Xk5tZ5XFiaGdgOquYFE3RtgKoIsJjAAAAAAAAVF4kIa84PM71SzNqW+EpNrI7MCcbSkpOSF6cymOgWgiPAQAAAAAAUHFeNCVFguFxJDsgzaTyOJdRPNsVnBUe7XVM2wqgagiPAQAAAAAAUHnR0srjiDswo57HTiatuNsTmOdF8uGxF2s6xA0FMBnCYwAAAAAAAFReKFIS7Ebc9Mx6HmcHFSsKjxVLynMcv+8xgOogPAYAAAAAAEB1JNoCk1HPKo+nHx47I4OK5YLhsRNvkiyctgAZQFUQHgMAAAAAAKAqvKLwOKa0HDcnudnpt60oCo9DiWZ59DsGqorwGAAAAAAAAFXhJRcEpmMayP8yzb7H4eH9Cit4n1CqWV68+dA3EsCkCI8BAAAAAABQFW4qGB7HlZY8b9p9j+ND20vmOal2icpjoKoIjwEAAAAAAFAdzZ2BybCTU9gblnJD01pNfGhnYDqruBRNlgzIB6CyCI8BAAAAAABQFW5qccm8iDsgZ1ptKzzFRvYE5mRDSckJ5wfMA1A1hMcAAAAAAACojmS7vFAkMCua651ez+PssBK57sAs18Jji5VpWwFUFeExAAAAAAAAqsKLpaRIIjAvnO2Xky2/57GTGVLM7QnMc6Op0fUzYB5QTYTHAAAAAAAAqA7rSxzNVwkXhseazoB5mbRiuZ6S9fpoWwFUFeExAAAAAAAAqsKLJA8EvaMiuYFphcdOJq14UeWxEk35quZQuFKbCmAChMcAAAAAAACojmgiHyAXznIHptXz2BkZLKk8jiQtPGawPKDaCI8BAAAAAABQpeQpIi8e7EsccdNyskNlryI8sldhZQLznGSzRL9joOoIjwEAAAAAAFA98dbAZNSzthXlVx7Hh7YHpj0/PG6j8hioAcJjAAAAAAAAVI2XbA9MR5WW4+YkN1vW/RPDuwLTWSXyA/FReQxUHeExAAAAAAAAqsZLdgSm4xrI/5ItZ9A8T7GRPYE5uVBCCkWlonYYACqP8BgAAAAAAABV46YWBabjSkueJ6ec1hWZQcWLBsvLhfMD8HlRBswDqo3wGAAAAAAAANXTFAyPQ46rsDcs5Q4+aJ6THVTMDYbHXiSV/0nlMVB1hMcAAAAAAACoGreps2Re1O2Xkz145bEzUlp5rGg+PFaMymOg2giPAQAAAAAAUD3JDnmhSGBWJNtXXs9jqzwuCo+dRFJeJC6FY5XeUgBFCI8BAAAAAABQNV40KdmtQDjXV2blcVrxorYV4WSzPKqOgZogPAYAAAAAAED1RK1SuCg8zg6U1fM4MrRHIWUD85xksxRrrvhmAihFeAwAAAAAAICq8YPjosrjSK5fKqPyOD68I7guPzxuo/IYqBHCYwAAAAAAAFS38rg4PHbTUq6c8HhnYDqrhBRJUHkM1AjhMQAAAAAAAKqYPoXlFbWZiLoDcrIHaVvh5RQf2ReYlQ0lpXBUXpy2FUAtEB4DAAAAAACguhJtgcmoNyBlh0cbUUwiM6hY0WB5bjhhjStoWwHUSETz0P33368HHnhAu3btUigU0tKlS7V582atXr263psGAAAAAAAw57hF4XFMaTmeK7k5KTRxPOVkhhTPBcPj8YH3GDAPqIl5FR5fddVV+tKXvuSHxxM54YQT9NrXvlannXZa1bZh48aNFVnP1772NZ1yyikT/u0HP/iB3vWud81ovX/7t3+rj3/844e4dQAAAAAAAAWSHSXhsc+qj2OThMfZdEnlsaIp/4cXa2L3AjUwL9pWDA8P601vepPe/va3Txocm9tuu00XXnihPvzhD8vzprhsogGkUvkPSwAAAAAAgEbnphYFpuMWHnuenJy1rpjEyGBJ5bETT8kLhfOD5gGounlRefzud79bP/vZz8anHcfRqaee6lcBZzIZ3XnnnX5wbCw0/spXvqJkMukHzpUWDoenfR/bJtd1x6dXrFiho48+uiqPOZPtAwAAAAAAmFJzMDwOOa7C3pCyft/jiTmZgZLK40iqKd+ywnHY4UANzPnw+Bvf+IZ+8pOfjE9bf+PPf/7z2rRpU2C5G264QW984xvV19fnT3/uc5/TE57whIq3sLj77runfZ8PfOAD+vrXvz4+ff755/sBeLl+8YtfaOXKldN+XAAAAAAAgEpwU4tL5kXdPo3kRiYdMi8yvFch5QLzQskW5eLNvChAjczpthXpdFqf/exnx6fj8bhfVVwcHBurRLZlC0PZiy++uO7tK6wyujD8tu173vOeV9dtAgAAAAAAmJZku7xQNDArku3P9zyeRHxoe2DakyMv0UK/Y6CG5nR4/N3vflf79u0bn37Vq16ldevWTbr8ySefrOc85znj0/fcc4+uu+461dP111+vrq6u8emTTjpJq1atqus2AQAAAAAATIcXTUjRZGBeJNcnZ6rweHhXYDqrRL7XsbWtAFATczo8vuaaawK9fF/0ohcd9D4veclLJl1HPfzwhz8MTFN1DAAAAAAAZp1oUl5ReBzODkiTDZjnZhXP7A/MyoYSUjhG5TFQQ3M2PLaK49tvv318+oQTTtCSJUsOer/jjz/e74tcWPmbzWZVD/v37/cff4wN4nfuuefWZVsAAAAAAABmyoumpEhReJwbkLIjE98hM6h40WB5bjghOSF5VB4DNTNnw+Nbb71VrusGwuNyFS7b3d2tBx98UPVgvY6t5/GYZz7zmWpqaqrLtgAAAAAAAMxYJFFSeRx1J688djKDiuWC4bE3Fj4THgM1M2fD44ceeigwvXnz5rLvW7xs8bpq5corrwxM07ICAAAAAADMSqGwvHiwV3HEHZi057GTSZdUHiuW8n8UrwdA9UQ0Rz388MOB6WXLlpV93+Jli9dVC/fff7/uuuuu8ekVK1boSU960ozW9bnPfc4PwB9//HH19fWppaVFHR0dOvroo3XKKaf4rTASiUQFtx4AAAAAAKBIvC0wGfOsbYWFx57FxYG/OdmhkspjJ56U5zglA+8BqJ45Gx7v2rVrxuFxYc9js3PnTtV7oLznPve5cuwDcga+973vBaaHhoa0Z88eP6D+wQ9+oI9+9KN69atfrZe97GUzfgwAAAAAAICpuIlgeBxVWo7nSrmcFC6KqIb7FSuqPA4nmqRYk9/3GEBtzNnwOJ1OB6ZTqfylDeUo7itcvK5qy+Vy+vGPf1yzlhU2uOCHPvQh3XjjjfrEJz7hD8x3KAigUYljh+MIswnHLmYzjl/MVo187JazPbZMo203aqORj12g6sdvakFgMq60X3DsWN/jSDTwt9jIHoV0YCwrE061yI01897BtPHZO3PzJjyOx+Nl37d42VqHx7/73e/8yuAxJ510klavXj2tdYRCIb/NxRlnnKFjjz1Wa9as8dtVDA8P+5XUN910k7797W/71cdjrrvuOr397W/Xpz71qUP6IG5vb5/xfYExbW3BM9LAbMGxi9mM4xezVcMdu62tZSzSav/jXJPNQeNquGMXqPLxm1u0KhAHx5RWLBpRPBGR0xTsY5zI7Q1Me3IUbVukcMdihfj8xCHgs3d65mx4bCFpoWg0eAZrKrFYrKTNQz1bVky36vj444/XL3/5S61cubLkb7YfNmzY4N9e/OIX64tf/KIuvvhieZ71F5J+8Ytf6IorrtAFF1xwiM8CAAAAAACgQHNnYHeEHE9hd1BuJpjhWEYRGw62I806ScUiCSnRwi4F5lJ4fNZZZ2nbtm1VW/9b3/pWXXjhhQetHs5kMmVXH4+MjASmazmYXG9vr37961+PT1sLCRvQbjrWr19f1nJWXTy27y666KLx+Z/5zGd0/vnnl4To5eru7p7R/QA7JsfOAPb09Iyf1AAaHccuZjOOX8xWjXzshnp71VrG//e7/H/zvNTIxy5Q7eM35DSpuFGmN9Stwb4uuZGCSubsiDqGdgeWyzoJeVlPuRHx+Ylpm0+fve0Vrsyfs5XHxT2OrRK53PC4uGp5Ov2SD9VPfvKTQHj9zGc+U83NwUs3Ku1Vr3qVrrrqKj344IP+tLW1uOWWW/TkJz95Ruuby29A1I4dRxxLmI04djGbcfxitmq0Y7ecbWm0bUZ9cBxgvh2/XrxNXjgqJ5cZnxfN9sjLDgfW5WTSiuWCg+W54YTCTlherInPT9T82J3P5uzwlMWB78DAQNn3LV62luHxlVdeWbOB8gr7Ixc/zh//+MeqPy4AAAAAAJg/vGhCigRrj8O5fjnZYBGfsmnFi8Jjz1pW2M9YU/U3FEDtKo8vueSSkkreSpqor69ZsmRJYNqqaZctW1bWOnfs2BGYXrp0qWrh4Ycf1u233z4+vXz5cn/Qu1qwPsmFqtlqBAAAAAAAzEPRpLxoUs5w7/iscHZAygVzI2dksKTy2O5rvFh1r84GUOPw+JhjjlE9HHbYYYHp7du364QTTijrvhY0T7WuWg2U99znPtfvyVILCxcuDEx3dXXV5HEBAAAAAMD84EVT4yHwmEhuQCqqPHayg4q5wfGUnPjoVeFUHgM1NWfbVhQHvnfffXfZ973rrrtmNADdoXBdVz/60Y9q3rJizNDQUGC63P7QAAAAAAAAZYkk5BW1rYi4afmj4BUaGVDM7QvMCieb/Kplhebs8F1AQ5qz4bFVGVsv3zG33XZb2ff9y1/+EhihcMOGDaq2G2+8MVDxfOKJJ2rNmjWqlccee2zKSmQAAAAAAIBDEgrLi7cEZkXd0p7H0aHdCskNzAsnW+TFaVkB1NqcDY8t/DzuuOMCgfCuXbsOej8LmQtD3NNPP12RSPXPav3gBz+oW9Wxuf766wPTRx55ZE0fHwAAAAAAzAOJ1sBk1EuPtq3wDiwyHByLylVIXqJZijJYHlBrczY8Nueee+7477lcTpdffvlB7/Ptb3970nVUS39/v371q1+NTyeTST3rWc9SLauOi1tmPO1pT6vZ4wMAAAAAgPnBTbYHpmMakOO5FtyMzvEUG94dWCarhBSOy4sTHgO1NqfD4wsuuCDQfuFLX/qStmzZMunyN910UyBE3bRpk84888wpH+PSSy/Vxo0bx282PV0/+9nPAj2Hn/GMZ6i5eWaXYjz00EPKZDJlL9/T06PXv/71Ghk50F/InvPq1atn9PgAAAAAAACTSnQEJmNK53/JjeYi2WHFc8HB8nKhhBSJyYvRtgKotTkdHqdSKb32ta8dnx4eHtYrX/lK3XPPPSXL/uEPf/CX9bwDl0m85S1vkeM4Vd/OH/7wh4Hp5z//+TNe13e+8x2dc845uuyyywLtN4rZ8/z1r3/tt8e49957A1XPb3vb22b8+AAAAAAAAJNxmxYFpuMalDxXTi7f99jJDCme6wneJxSXQlGJ8BiouTk/ROVLX/pS3Xrrrbr66qv96R07dviB6amnnupXCmezWd1xxx0lA+q95jWv0WmnnVaTlhG33HLL+PTy5cv1pCc96ZDWuW3bNn3kIx/RRz/6UX/QPaugXrx4sV/NbBXGtg/sMe1noXA4rIsvvrgmAwQCAAAAAID5x2vqDEw7jqeIN6hsdvSK6ExaMTcYHnvRZP4n4TFQc3M+PDYf/vCH/Z7H11xzzXjV7e9//3v/VswqjV/2spfpTW96U022rbjq+LnPfW7Fqp3teW7dutW/HYyF1h/72Md00kknVeSxAQAAAAAAinmpYOWxibr9Gs4O+0PmOdlBxYoqj53YaHgcp20FUGvzIjyOx+O65JJLdOWVV+rLX/6y7r///gmXO/744/W6172uJhXHY+HuVVddFZhnVdGH4uyzz9b+/ft18803T9m2YswRRxyhF73oRf7jNjXReB4AAAAAAFRRok1eOCYnd2DspUi2z+91bJyRQcXdYM9jJ5bK/xIltwBqbV6Ex2POP/98/3bffffpgQce0K5du/xWDdbS4aijjvJbPEzXG97wBv82E1ZhfO2116qSTjnlFP9mLER+8MEHtX37dnV1dWlwcFDRaFRtbW3+cz722GO1YMGCij4+AAAAAADAZPwWFHYrCI/D2f7xnsfK9Cvm9gXuE0qm5EVi/qB5AGprXoXHY6zXsd3mOguGTz755HpvBgAAAAAAQF40IS+SlKMDrSnCuf7xMDk2tEuO38DigHCyWW6MqmOgHkJ1eVQAAAAAAADMO140la88LhDJDoy3rYgP7wj8zVVIXryFwfKAOiE8BgAAAAAAQG1EEvnWFYWzvLHw2FN8ZE/gb1knKUXihMdAnRAeAwAAAAAAoDZC4ZIgOOoO5AfQywwqnjvQzsLknIQUjkm0rQDqgvAYAAAAAAAAtZNoC0zGvLRfeexkBxUrCo/dcFwKR6k8BuqE8BgAAAAAAAA14ybbA9NRpeV4rpyhPsXdYHjshROSDaEXZ8A8oB4IjwEAAAAAAFA7yY7AZFwD/k9nqKuk8lix0f7IRa0uANQG4TEAAAAAAABqxk0tCkzHNCh5rjTYo1iuO/C3UCLl/yzukwygNiI1ehwAAAAAAABAXlNnYC84jhTx0soMOop5/YG/hRNJeaGwFLH2FQBqjfAYAAAAAAAANeM1BSuPTdTtV8jLWnfjwPxQskVurCmfMAOoOdpWAAAAAAAAoHbirfLC8cCsSLZPsaLB8lyFpVgTLSuAOqLyGAAAAAAAADXjRZOS3XLD4/PCmX6FLSwukHUSUiROeAzUEZXHAAAAAAAAqJ1oIh8gFwjnBhRzewPzchYeh2NSvIlXB6gTKo8BAAAAAABQM140JUWC4XEk1694LheY54YSCodjVB4DdUR4DAAAAAAAgNqJWOVxIjAr6lnl8YE2FsaLxiUnJM8GzANQF4THAAAAAAAAqJ1QWF68JTAr6qYVy/UF5jljAXOsmVcHqBN6HgMAAAAAAKC2Em0llcfxXE9gXiieb23hER4DdUN4DAAAAAAAgJpyE+2B6YT6FPX6A/NCyZQ8x5FiKV4doE4IjwEAAAAAAFBbqY7AZJPTLadokVCyRbJ+xw7xFVAvvPsAAAAAAABQU25q0ZR/zyksRZsYLA+oM8JjAAAAAAAA1JTX1Dnl37NOUl4knq88BlA3hMcAAAAAAABoqPA45ySkcJTB8oA6IzwGAAAAAABAbcWa85XFk/DCcSkcIzwG6ozwGAAAAAAAADXlRZNSJDX538MxKRTxQ2YA9UN4DAAAAAAAgNqKJuVFE5P+2Ykl/Z9enJ7HQD0RHgMAAAAAAKD2lcfRySuPQ/HR8DhKeAzUE+ExAAAAAAAAaiuSkBeZvPI4lMiHx4rTtgKoJ8JjAAAAAAAA1FYoLC/eMvmfky35thbW9xhA3RAeAwAAAAAAoOa8ROuE83OK+C0tPAbLA+qO8BgAAAAAAAA15yU7JpyfdaylRVwiPAbqjvAYAAAAAAAAtZdcMOHsnJOQwjF5cQbLA+qN8BgAAAAAAAA156YWTjjfC8elSExelPAYqDfCYwAAAAAAANSc19Q58fxwLD9QXry55tsEIIjwGAAAAAAAAHUJj70J5juxhP2XAfOABkB4DAAAAAAAgNqLNUkRC4qDQvGk/9NjwDyg7giPAQAAAAAAUHNeNCnZrUg4MTqP8BioO8JjAAAAAAAA1F40KS9SGh47iRZ54ag/aB6A+iI8BgAAAAAAQENUHucUlWIpqo6BBkF4DAAAAAAAgNqLJPIBcoGsk5DCMXnxJl4RoAEQHgMAAAAAAKD2QmF58ZbArFwoIS8SY7A8oEEQHgMAAAAAAKAu3M4jA9PZ2AK/8pjB8oDGEKn3BgAAAAAAAGB+chcepuyaU5Xb8YCGm9YomfTkWduKWHO9Nw0A4TEAAAAAAADqJpqU27FWkeyIQk2dcoa65cmRF6PnMdAIaFsBAAAAAACAuvAHzAtF/d+dTDrfssIQHgMNgfAYAAAAAAAA9RFJSuHRrqp+eJwPkr04bSuARkB4DAAAAAAAgDpWHufDY8cb7XccCuVDZQB1R3gMAAAAAACA+rDw2AnnA2MTiUk2WJ7j8IoADYDwGAAAAAAAAHXhjVUYj/Y9tp7HDJYHNA7CYwAAAAAAANSv8tiMtq7w21ZY5TGAhkB4DAAAAAAAgPr1PDajA+X5PwmPgYZBeAwAAAAAAID6iCT8H95o5TFtK4DGQngMAAAAAACA+giF5UXiUjgiLxTOD54Xp20F0CgIjwEAAAAAAFA/0VR+wLxILD8da+LVABoE4TEAAAAAAADqxosm8r2Ow/nwmAHzgMYx2lAGAAAAAAAAqINoMt/zOByT5zj5SmQADYHKYwAAAAAAANSNF03m21ZY5bHfwiLMqwE0CMJjAAAAAAAA1E8k6Q+YZ60rPPodAw2F8BgAAAAAAAB1rzz2rPI43swrATQQwmMAAAAAAADUj4XHTsivQPaiTbwSQAMhPAYAAAAAAEDduE2d+V8icXktS3glgAYSqfcGAAAAAAAAYB5Ldiiz6W/kZNJyFx1R760BUIDwGAAAAAAAAHXldayVx2sANBzaVgAAAAAAAAAAShAeAwAAAAAAAABKEB4DAAAAAAAAAEoQHgMAAAAAAAAAShAeAwAAAAAAAABKEB4DAAAAAAAAAAiPAQAAAAAAAAAHR+UxAAAAAAAAAKAE4TEAAAAAAAAAoAThMQAAAAAAAACgBOExAAAAAAAAAKAE4TEAAAAAAAAAoAThMQAAAAAAAACgBOExAAAAAAAAAKAE4TEAAAAAAAAAoAThMQAAAAAAAACghON5nlc6GwAAAAAAAAAwn1F5DAAAAAAAAAAoQXgMAAAAAAAAAChBeAwAAAAAAAAAKEF4DAAAAAAAAAAoQXgMAAAAAAAAAChBeAwAAAAAAAAAKEF4DAAAAAAAAAAoQXgMAAAAAAAAAChBeAwAAAAAAAAAKEF4DAAAAAAAAAAoQXgMAAAAAAAAAChBeAwAAAAAAAAAIDwGAAAAAAAAABwclccAAAAAAAAAgBKExwAAAAAAAACAEoTHAAAAAAAAAIASkdJZAABgtnj00Uf10EMPaceOHerv71cul1Nra6taWlq0fPlybd68WalUqt6biRn6wQ9+oHe9613j08973vP0P//zP3Nqf1566aX69Kc/PT79+te/Xm94wxvquk1zUW9vr+699149/vjj6u7u1tDQkJLJpP95sWDBAm3atElLly6t92aiCjZu3BiYvu+++9jPAACgbITHAADMMjfffLOuvPJKXXfdddq7d++Uy4ZCIW3YsEFnn322nvOc52jdunU1204A9bV79259//vf189//nM/OPY8b8rlOzs79aQnPcn/rDj11FMVDodrtq2Yeye7DEE1AACzH+ExAACzxO23364PfehD+stf/lL2fVzX1f333+/fPvvZz/rB0Fvf+lYde+yxVd1WzA9f+cpX1NfXNz798pe/3K9kRX319PToU5/6lC6//HJlMpmy77dnzx79+Mc/9m+LFy/Wa1/7Wr3whS9UJMJXBgCH5p577tGvfvWr8Wm72sFObAMAGh//JwgAQIOzANiCoM9//vNTVg5albEFdyMjI0qn0xMu88c//lEXXHCB3vSmN+k1r3lNFbca88HXvvY1bdu2LdBWg/C4/lcm2PvbguCpNDU1+ZXFAwMDfrubiaqW/+M//kNf/epXdc0111RxiwHMl/C4sEWR/XtBeAwAswPhMQAADSybzeptb3ubfvazn5X8bcWKFTrnnHN02mmn+T0t29vb/QDZWP/jBx980A+Lr776ar/yeIwF0Fu3bq3p8wBQfRby2udFcbVxPB73Qxr7rHjiE5/ot6eIxWLjnzHWB/nWW2/Vtddeq+uvvz5w/y1btvDSAQAAzGOExwAANLD3vOc9JcFxW1ubfzn5P/zDPygajU54v+bmZh1//PH+zSqMLUT+5Cc/qdtuu61GWw6UxwbHY4C8Q3fDDTf4LWksDC70N3/zN3rLW97in2yaiLWkWLt2rX97/vOfr127dumLX/yivv3tb5esCwAAAPNPvjwJAAA0nG9+85v+wHiFli5d6oc6r3jFKyYNjidivY7tfu9///v9KkQAc8fOnTv9VhWFYa/jOHrve9+riy66aNLgeCJLlizx72eDnx1xxBFV2mIAAADMFoTHAAA0oO3bt+vjH/94YJ61pfjWt76lww47bEbrtDDpJS95ib7zne/4g2EBmBusN3Fvb29gngXA//iP/zjjdVornCuuuELPfOYzK7CFAAAAmK1oWwEAQAO69NJLSwa9e9/73jetCsLJbN68WUceeeQhrwdAYwyQd9111wXmPfWpT9VLX/rSQ153IpHQJZdccsjrAQAAwOxFeAwAQIPZt2+ffvzjHwfmnXLKKX7v0koZG1hvNsjlcrrzzjv9Qf+6urr8bV+2bJlOOukkv43HwQwPD/uDgT388MN+dab1g16+fLnfyqOpqUlzXXd3tz944iOPPOI//6GhIbW0tPi9s60tgd2sKh3TPyZtoDl7v9o+7ejo8Cv6n/CEJ6i1tbVmu/PLX/5yYDocDvuVyPX4rLDBOB977DE99NBD/tUTAwMD41dNLFy4UMcdd5wWLVqk2cg+R+wzyJ6bvafs5J61DkqlUn6rj5UrV/pXhUynnVAh3qeTs33+17/+Vbt37/bfe3YsHXPMMWWdBLVj0u577733+v9+2OtjA0bawJH2ulWjhcxf/vIX//gfGRnxj3c7Nk488cQZHxv1Pk5sH9qxb/+G2j60x7UBN+19vW7dOv8x58O/pQAwnxEeAwDQYH70ox8pk8kE5lm7iVr405/+pJe97GXj0yeffLK+/vWvT2sdZ511lrZt2zY+fe211/pfnqe7vH3xvuyyy/S1r33ND+gmCrXOOOMMvetd79Lq1atL/r5//3595jOf0Q9/+MPxEKuQffl94Qtf6PeKLTfsm+5zm6ii/NOf/vT49Otf//qKDxbnuq5uuukm/fKXv/QHSrSgYSr23M877zz98z//s1atWjXtfVDo6U9/+pT3tdfSToTMZJ+cc8452rp16/j0//zP/+h5z3ueZuK5z32uHyaN+fd//3d/AMqDsfv87//+r373u9+pr69vwmUsvLWgyAa1fPKTn6xqsvfF9ddfH5j3tKc9razXsVIsSPrFL37hb4cddxZuTcUCVquK/ru/+7tp9V+3Fhy2/qmOpalYD2f7rBhjx44dQwdz3333+QMI2nu9+GqQiSq1LdQ8++yz/fVboFev9+ls8c53vtP/jB7z4Q9/2B+40fz0pz/VZz/7WT3wwAMT3tfCY7v/RO8z+zfUxg2wf0NsEMhiFrBahf673/1urV+//pCPIbsCwKr0C4/RQha02ufO//t//88/gVmueh4nFtp/6Utf8t/bE/0bPMZCcRuc91nPepb/HAufX/E+K2Sve+FrX2wm//8BAKgOwmMAABrMr3/965IvnQcL5eYa+7J/4YUXBgK+ib5U276yL+2f//zn/cBujM174xvfqL179056fwunLVy48cYb/SDKqtHmgr//+7/X7bffPq3wzwZT/N73vucHKbU6UTFdFtR84hOfCIQSMwmP77777sBxZScRDlbVPzg4qP/8z//0B7C0KrypWGWkhT12s8D7Ix/5iJLJpKrht7/9rf94hV7wgheoVmw/2uMVn+w6WCBl+/KrX/2qHwzOtId7LdjJJ7sV7+PJWBXon//8Z/9mJ5UsRJ5v79NKsM9me47FV+BMdPz90z/9k79sYX9v+/fDTt5YxfFk7H1sJ4HsJIadHLArWWbKTn7ZbarPBjupYsf8Nddc44fMJ5xwQlnrrsdxYidJ/vu//9v/vLN/Zw/G3v9jx73tczsBAACYW2bPNasAAMwD9iXMLnktZF8yK3G562zR09Ojl7/85SXBsV2aO1Glon1ZtqBgrLrstttu06te9apAcGxVylYFGImUnje3S3Ff97rXlfUleTYoHjitcB/YPrTKtIlaEdixZ6GeBfGN6Pzzzw9stwUV1iJhuix0LmQB31QVonv27PGrkq1CbqJwyI5Ju/9E+/TnP/+5X8nf39+vapioytEux68VC0snC47tM8tOfE0WnFsV+QUXXOCHyY3IKsw/9alPTRgc2+eIveZ2s0rzmZir79NDZe+xt7/97SXBsR1HE7VGsM/tD37wg+MV+NZWwYLk4uDY9qlVhk8UlL7mNa+ZsDq53LYxdvVE4WeDHRP2+k3UPsIex/59KjcQrvVxYu02XvziF/ufkxP9m2jPyR7T2rVM5GAn1wAAsxOVxwAANBALUqzqqtDRRx+t+cT6tW7ZssX//dRTT/WDZLs8feyLv+0jq+C6/PLLA1VdH//4x/1KK2t5YJWiFvBYVaRdAm370L7Q25dh639cfHmxfZG3Si0Ls+aKo446ym/rYScfrCel9eMdCzOy2ax/+bMNtGbV1xaQjrHAzKrwJqvEszYfY21APvnJTwbaFNjfLDCczNq1a2f8fKy/9VOe8hT9/ve/Hw8pLNC1y8DLZe+tn/zkJ4F5Vnk41fKvfvWrdddddwXm2361Y8uq3RcsWDC+T++44w5dccUVuuqqq8ZDR5tng10WVk1Xyj333BOYtmrXqfZ/tViwZ60DTj/9dH9ATqsmLgz6LACzHtHWksdCwbF9Y6G6HTPf//73/QrwRmFtWSwQLLRmzRq94hWv8Fsd2MClhaGxBYLWE9ba/th76mCtBWrxPp2tvvOd7/jvmbHPCwt27bgae5/ZSUGriLWK8LE2IvZZ8F//9V9+Ve/b3vY2vx+wsdfKTt5Y+4Oxkxh2stD+/bDHGWMtaD760Y/qoosumta22ms+FnJbgPuiF73Ib4Vk7TTs+LDPDzvJZY9X2F7Gjns7YWltOcptmVSL48T2p13xU9wmxK7Ksf142mmnacOGDeMnYe3kkZ3kveWWW/x9P/a6FbJ2FmM92O3EuL12hX+zk4KTsecIAGgMhMcAADSQRx99tGReOYMCzSX2BdS+FFsQXNh/eYwFUxYUWJhoIfAY+yJuIYB9cbaKQKu4ssHLCtkXfPsS/X//939+KGGXLY+xL91zITy2L+PW5uTwww+fdBn78m/Hld2sSs8CFwsejAV7tl8n6zX5nOc8Z/x3u9y7MDz+27/922n1gJ4uC3rHwmNjQYSdLCh3gCh7jlaZWBxIT8b6mRYGx1bp97GPfUxnnnnmhPvUjje7WRsM266xkN2OTWthce6556qanxcbN25ULVnwZf1MLUifqo+rLWcnguxmVdwWUI29DhbAXX311TPuX10Ntj2FFdUWctlnxmTVljbwmt2s37S9l6xtjg2gWM/36Ww1FkDae8jef8VX3dgAdFa5e+yxx/ph/tiJCBu88s1vfrP/+WCf8+9973sn7GNu/Y2tItfe+3byq/Aqgfe85z3jIXU5xj4bLJi2f29sENZCdkJk7Lj/yle+EmjnYP9OWUsbq5pulOPEer8XB8d28tXmT3QFgZ3QtfeG3azHsu2P4isJbH+P9ZS2qzQKw2MbbM+qnAEAjY+2FQAANBAbTb7YVJfUz1UWDkwUHBeyitDCSlarvrIvzBYkXnzxxSXBcfGX7fe///2By32tgmqsYm02s1B8qqChmIV+Vp1mX+THWFX2dKona6W4xYRViNogUuUqHpypuBVGcVsF6x1aeMxYQDRRcFzMwqLiwdi+8IUvqJKsSrB4IMhaf1ZYKGQB3nQGALPQrzC0Gztx00isL3YhG8RxsuB4InaC6mC9nOfy+/RQWXWtVQJP1a7JqoltcLZCNqicsZMTBxsA05axavIxdrLABkWciQ996EMlwXExe5/YrfjzaOfOnQ1xnNgxX9wqxKqoLfAut2e7VUcXnlwEAMwdhMcAADSQsctwC1m143xilV/ltCKwy4Kf/exnl8y3Ki27XPlgbCT64oC5uD3BfGEVcsVh/XRC2Vpu53nnnTdlD+PJ2OXuhZXmB2tZcdlllwV6ftrAU9NpEfDMZz7TD7gKj61KHl/FwbEp9xL4erOgzULkMbZfqtUXeiaK+8xWs5p+Lr5PD5W1eSmnl/REQaVVJltLiIOx9Rd/lkw1wN5Ux/JE/w5NxP5ds+0bY1XB3/3ud9UIx0nxyS0L1q16GwAAQ3gMAEADKe53bKZT8TYXWDVZuf1PjznmmJJ5Vi1VruL7N+rgXbVglx4XKndAp1orDnyt2rCc4NH6EFt1euHAcqtXr55wWQuNrdVEIbscfLqKQyXrf1opEw1UV26FYCM47rjjAvvbeiI3iuITdjMJFef7+3SmrHrVbjP9/LdAeab/flg/5OmaTtsF6wNeXC39m9/8RvU+Tuz/O8baXIyxKumJBhgEAMxP9DwGAKCBTPSld6Jq5LlsOtWdy5cvD0xby4qp2lUUW7ZsWVkj28921gvaelnu37/fD1ptoCMbZKpQYe9is2PHDjUiG/zQBoyyXrnGBkf82c9+dtCTBsUtK6yX51QD0dk+K6zCmyxonkpxCHbbbbeVXLo+UxNd0m/7ohFYOxFr+2H70I63iYLuxx57LDC9fft2NQqrirYBwMbYpfs2eJcN3FlNc+l9WovPf2vRYNX2hZ/bh/Lvx3Q//62VjQ1iNx12ZcyXv/zl8en77rvPf52nE9RW+jixPtO2jjHWysd6TgMAMIbwGACABjJRlXEjXc5dCytWrJjx/rKKwelcul98/4laAcxWW7Zs8Vs62EBQM+nl3MhBulUfFw4+Zc9zqvDYwpHCgaDsdZ9q8LriKj0Lagv7H5dr3759gWkbJKuanxWFgXctWXBllYvWM/W3v/3tjD6z6rXtE7Hq0EsvvXQ8jLfX0doAWKhsx431tLYTGJP1y56Oufw+nYniQLec90HhPjiUfz+m+/lvPb+nW527adMm/7gZa4ljV0NYP2I7KVav46S4nc6GDRtmTQscAEBtEB4DANBAOjs7S+YVVxDNddMZfKs4vJnOfU1xX83CHrezlV2CfNFFF+kb3/hGoE3DdDVykG6Xpn/84x8fr2i99dZb/UrXwgEUp+qL/KxnPWvKdjDWH7mQhTv/8R//ccjb3dPTo0qxS+DtVvg6VXL95bJWL+95z3v8qupD0Ugnyawv7X/913/pHe94R+AzwU5C2M1YuGZhslW6WkWytQmYTpg8H96nMzHdHv/Fn+H2nihX8es13c//6Qbdxj532tvb/arhcv6Nr8VxUrgtY+MBAABQiJ7HAAA0kIkujbfLWucTaz1Rj/vOBRY02GBRX/nKVw4paDDFl0E32qCKp59++pRtKQr3SXH/4qlaVlQzhK10W4nikKfWnxXW3sMGEjzU4LgRjzc7QWGDiE3WrsQqOX//+9/rk5/8pN/31o5HO6FRXG0+n9+n9fgMr+W/AdM9WTlZQD5ZVXCtjpPi8JqqYwBAMSqPAQBoIHa5qF0iX9gjtJEGa0Jjs7DL2gYU6ujo0HnnnacTTzzR7927ZMkSv/otHo8HqvYef/xxvx/nbGEB8K9+9avx6SuvvFJvfOMbS6oJbZnCMNiqkw/WF3WiHr2NaPPmzbr33nsDfYQtCLLKxmqzffSWt7ylJHiyy+/PPvtsfzAy6yluV1PYsWb93AuDPWsL8elPf1qN7GlPe5p/4sGOoauvvlp/+tOfJg36du/erS9+8Yv65je/qfe9731TnqCYT+9TzDzwr9dxMt9PwgIAShEeAwDQQCw4tsuf//znP4/Ps6o+C2omGiCrEc2F1g+zcd/YZckWXhWyQY8+8IEPKJlMHvT+s21gRqv0tPYCYy0mdu7cqT/84Q966lOfOmXLioNVHZu2trbA9Ate8AJ98IMfVKOxELz4+dlnxzOe8YyqP/ZVV12lhx9+eHzaPp8++tGP6tnPfnZZ96/18TbT9549L2tzYjdbh1V333LLLf7N9nVxH2t7Xu9617v8Ze24me/v07lspq1Wiu83UaVvLY+T4pNN9Wh/AwBobLStAACgwZx55pmB6a6uLv3617+uyWMXV23mcjnN9wGcpqrImm4gVc1BwX73u99paGgoUGFrg8qVEzSMHWezSSQS8VsLFCoOUnft2uUHymOsMu/8888vqy1GIavobdQAvbjn6/e///2aPPYvf/nLwPSrX/3qsoPjmRxvjfDes89HG/DspS99qT7xiU/47znb39a2ovjknr33JuplO9/ep3PZ9u3bp30fC3WLj4uJrhSo5XFS/Hn36KOPln1fAMD8QHgMAECDsUDMgrFC3/rWt2ry2MWDDU23ys0qlubaAE6V3D/btm1TtRT3uz333HP9VgHluvPOOzXb/N3f/V1g2toLFJ68sOrYwhMgp556qn+Z98EceeSRJftmeHhYjcYqr0877bTAPLvM3S5Zr7bi4604yK/08Vb83pvu50w13nsWaFubDhtM8Wtf+1ogQLbq0uuuu67kPvPxfTpXWeV9YcBbbp/wwhMf9m+9tauq53Fy1FFHlQwQOpdPAgMApo/wGACABmM9Qv/2b/82MO+Pf/yjfvKTn1TsMSar2iseyGe6gUthu425qPjy4umEdBZi3nrrraqW4oG6li9fPq37TxR0HUxx1WutW5ZY6HLssceOT1vAa71pD6VlhbF+ooUVfnaS4Prrr1cjeuUrX1lynL3//e+v2Pone02Ljzfrb1wuq2x86KGHavbeq8Vn0xOe8ISSdiETDWBYj/cpqsMGsfvNb34zrftce+21gekjjjhCiUSirsfJcccdF/i8s57MP/7xj1Vpxf9ezOTKJgBAfRAeAwDQgF7/+teXfKH87//+74pUz1nl0yWXXDLh3+wLauGXSKs+euCBB8pe93e+8x3NZevXrw9MW9/Tcv385z+f8DL2SimuSptO5djtt9+um2++edqPWVwNOtMeoIeiOBD+4Q9/ON4rfMuWLYFLw8sdQMr25RlnnBGYZ4O7NWI/71NOOaWk+vj3v/+9vvGNbxzyuq2q0gYhnEhxm4bptIX48pe/XPagYZO996ZzIsaO78KBBatl5cqVB70yoR7vU1TPdP7Ns2r5H/3oR4F5xZ8z9ThO7L1c/Nn41a9+ddpV1bPh3wsAwMwQHgMA0IAshHjLW94SmGfB40te8pJpV+wV+u53v6u///u/93vBTlYZtHnz5sC8733ve2Wt+xe/+IXfp3EuO+aYYwLTVg1ezhdsa+fx8Y9/vIpbppJ2DOVWylrA9c53vnNGj7lw4cLA9KEcmzNlg0gVnmix4MS2o7jq2Kr5p3PZ92tf+9pAn12rIv2f//mfGW/ndMPS6fjP//zPkqsGbGCtr3/96zNep500uuCCC/z39USWLl0amC63AvPGG2/U5ZdfPu3tKawwHzu+xwZLnMrIyIi/f6ZbUToThQMIjl1F0gjvU1SPHc8//elPy1r2U5/6VGCARfv31t5jE6n1cfIv//IvgelHHnmk4oOEWpudqd4vAIDGRXgMAECDevnLX17SvmLnzp3+4ExWFZTJZMpel1Uh/cM//IPe9773HTTsPOeccwLT3/zmNw96ybd9sX3HO96huc6qsworLnfv3u0PYjSV/fv368ILL6xqv+OxCtRC9podLKSzbfunf/qnGX+JLz7RcMUVV8w4eJspC03PPvvswLxvf/vb+tnPfjajlhWFl5O/8IUvDMyz99173vMeDQ4OTqva0N5D03386bArBi6++OLAZeEWVluA/Na3vnVax54FshaSP+95z5uw7cKYk08+OTBtA8gd7HHs5JKF8jMJ0k866aTAyQr7HHvve9875fFmQdr/+3//T3fddde0Hss+dz/72c+WtA442GdgcauA4vdkvd6nqK53v/vd+tOf/jTlMvbZ8ZWvfCUw77nPfe6k7V5qfZxYn3fbnuKTze9617vK/ry7++67SyqrC23cuDEwKO/WrVv98B0A0PiCo/EAAICGYsGk9XEtrP6zKtYPfehD/pdRC3pPP/10P+iyy/LHvphZYGWD3tgXWgvR7EtduewL5KWXXjp+GbqF1FaVZDcLlMZ6L1pFn7VtsMDQKq8sEFq9erX/2NMJXWYTG5X+Wc96VuALsl22bKH+q1/9ar93pAV4ti+sZYK9bv/3f//nV41bFav9/S9/+UvVqqJt4KPCoOzf//3f/cezEwebNm0a3zYLF8a2zY6nsTDwpptumtZjnnnmmfrCF74wPm3H23nnnefPt1CkuNL3rLPOKmvAupkMnFfYE9xaNhQGlBaMFAfd5bCTLVaBay0wCivxf/3rX/sV/E972tP8fR6PxwOXYtt9rD2MDV73hz/8wX8Pp1KpQ3qOB2OtK6y6/d/+7d8Cgartl1/+8pd+wG7LPPGJT/QrYsdeG+s7av2D7Tna87IA1N7bB2PP3479sf1sFZUWkL/uda/zP5fGXmd77oWfE8beC9ZXerqX1luV5uc+97nxebatL33pS/02P3b8jj0nC7Htb1/60pe0Y8cOf94JJ5wQeB2nYs/FWvtYqxILre24tYHx7HO2sPeyhdP2frOBGa3SvbCHqx1vtq8b4X2K6rDX0U6wWLj6ile8wn9P2Akn+7yxf4vtfWTHuP1bXVyZb+/BqSqE63Gc2MCP9v8Kha2q7Li2kz4ve9nL/P/XsD7zYyep7ASOPX97jtaWya76sP9HmGzwTGuJ9eQnP1k33HDD+Dz7/wp7f9n7xU4EFobLixcvLrvVEACgugiPAQBoYBaYfPKTn/RvX/ziFwOBmAUkl112mX8z9oXOvnxZ2GsB7mTsy5mFIJOxENqqjayaaox9ObZLbu1mXwBtu4p7MNpjW+hslYVzmX3hty/TXV1d4/MsGLBbJBJRc3OzHyAWV0RawGWvX7XCYwvkrBLTvuQXVqXbl3+72WtmPScn2jY7HqyitrjyrJxBwopDCqsmsxBjsr611QiPn/SkJ/knNbZv3+5PF1e2Wrg8ExZGWgWq9f0tfI5W4Wfz7WYsGLZl7X03nSsCKu3Zz362X51rLW8KWzqMDSRYOJigHaf2mWHbPFX1roVUE7GAzNroWFX1GDtJYpe62832ib0fJurVagGzmW7/3te85jW65pprAr2sLRD+53/+Z/9zzYLdiV4De/0tBC43PB5jYbCdECmsKrX3ke07e4zJera2tbXpox/9aKDtST3fp6gOez2sbc5HPvIRvx/6t771Lf9mx729hnbsT1Rlb3+zf0vtOJlMPY4Te8/ayUA7EXr//fcHTqZcdNFF/s22y95ntk0T9fQ+GLsKx6qNx/rH23oseLZbMfu3hfAYABoDbSsAAGhwFvDYpef2pbS472dx0GHhzWTBsX3ps4pQq5q1S1unYmGLXe49EQuSiwMhCwTtklwLlOY6C+dswC+rQi5mX+LtNSj8Mm+h1pvf/GY/PK42C3M/9rGPlQy2OPYlvXjbxioy7bWzQGwmrF2CPW492T4+//zzJ/ybhSzF7V+mw15nC8Mt9JisZ7KFKLZvpwqOJwthK80ud7eQ2Kogiwe1K2Shk1UpThYcr1q1yg/FxgYgnIidYLLwbLJ9Uvw5Ya+Tfa684Q1v0EzYcW3VxGvWrCn5m4VRE70GVqVpg41Ox0Sh7xhbv504miw4tuDO2qYcfvjhDfU+RXXYv6V2cqnwmLHXzt5bEwXHVnFsJ4LL+cysx3FiJ+Hs+LX39UTvA3tO9twmC46neu+MneizHuQTPScAQOMiPAYAYJawL5J26bcNgmWXh08UXk4UPFuga4HNtddeq89//vNThhrF1YEWmhUPEldcqWSVUXZpvF3WPV/Y5cRXXnmlf4nyVIOw2Rdl+yJuFZO1Ym01vv/97+sZz3hG4BLgYhbA2WXQVjlaPPDddFgYYuuwQMT2h+2bjo6OaQ1OVwn2npgouLBLom17DoVVEtoJHHsPWZWrtWcp5713/PHH+5X49v6wkz+1YlcPWEBj22vvfes1erBQZ+wycbvs3MIna3VhgfxU97P9YtWIFjKvW7du0uXsOLRL3q1n61jV8aEMJmqtQ+x1mKoViH0eWRWlHeOFvaDLYa1+rHr63HPP9ffJwdg+ss9n6zFtnwuHHXZYw71PUT32HrdWOcV9wAtZlfE//uM/+seWtWwpVz2OEwue7X1tFc72+MWDcRazz3prR2Hvmfe///0HXf/YQJxve9vb/M+FFStW+FXUUz0/AEB9OV41h34GAABVZSOiW29j67lrFcdWfWxf9OyyUqsgsiDP2kwcKmsHcOutt/qXwlvFka3fAhILTAr7vc5HVoltgxlZ31iryLJqT9v3FhBUo0XDdFhlmrUGsNfPKiXttbJtsirYcgIuTM566Vo/UqtCtZv9L7UFIBZUr1271m/RUYn3XqXYsWl9mK3djW3vWB9m+7ywsMl6jh7q8frQQw/pjjvu8HueW2WkhVAWtFuIPtUl+jNlPWWtFYW1ShnrK269tq23eDkBf7ns89VaZdh73HrB23veKidt39nj2Ak6C+xnivfp7GBhqrV0GmMnWmxwyeJjxY5J+8y194C9t+yEh7VNmepKgEY+Tuz/K+6880499thjfsse+38N++ywY95OGlm1fSN91gEAKo/wGAAAAACAQwyPAQCYi7g2BAAAAAAAAABQgvAYAAAAAAAAAFCC8BgAAAAAAAAAUILwGAAAAAAAAABQgvAYAAAAAAAAAFCC8BgAAAAAAAAAUILwGAAAAAAAAABQwvE8zyudDQAAAAAAAACYz6g8BgAAAAAAAACUIDwGAAAAAAAAAJQgPAYAAAAAAAAAlCA8BgAAAAAAAACUIDwGAAAAAAAAAJQgPAYAAAAAAAAAlIiUzgIOTVdXF7sQM+I4jtrb2/3fu7u75XkeexKzAscuZjOOX8xWjXzshu65R22nnjrlMj033CB306aabRMaRyMfu8DBcPxitppPx25HR0dF10flMQAAAAAAAACgBOExAAAAAAAAAKAE4TEAAAAAAAAAoAThMQAAAAAAAACgBOExAAAAAAAAAKBEpHQW5jIbUfLWW2/Vzp071d/fr8WLF2vlypU64YQTFA6H6715AAAAAAAAABoE4fE8sWXLFl100UX6zW9+o0wmU/L3zs5OvehFL9KrX/1qxWKxumwjAAAAAAAAgMZB24p54KqrrtLzn/98/fKXv5wwODZ79uzRpz/9aT9Afvzxx2u+jQAAAAAAAAAaC5XHc9z111+vd77znXJdd3ze2rVrdcopp6i9vV2PPvqorrvuOg0NDfl/u/vuu/3q48svv1zNzc113HIAAAAAAAAA9UR4PIft3r1bb37zm8eDY8dx9I53vEMvf/nLFQodKDrfv3+/3vjGN+qmm27ypx988EH9+7//uy6++OK6bTsAAAAAAACA+qJtxRz2uc99TgMDA+PTb3jDG/TKV74yEBybBQsW6Etf+pIOO+yw8Xk//elP/SpkAAAAAAAAAPMT4fEctXfvXl1xxRXj06tXr9aFF1446fLxeFzve9/7xqc9z/PDZwAAAAAAAADzE+HxHHXttdcGBse74IILFI1Gp7zPk5/8ZK1fvz7QLzmdTld1OwEAAAAAAAA0JsLjOerXv/51YPrcc88t637nnHPO+O/Dw8O64YYbKr5tAAAAAAAAABof4fEcdcstt4z/vmjRIq1ataqs+51wwgmB6T//+c8V3zYAAAAAAAAAjY/weA7atWuX+vr6xqc3bdpU9n03b94cmH7ooYcqum0AAAAAAAAAZgfC4zno4YcfDkwvX7687PtalXJhb+QtW7ZUdNsAAAAAAAAAzA6Ex3O08rjQ0qVLy76v4zhasmTJpOsCAAAAMA+4OSkzJGUGJc+r99YAAIA6idTrgVE96XQ6MJ1KpaZ1/6ampvHfs9msP3BePB4v+/579+6d1uMBhScvMpmM/3tPT488vqhgluDYxWzG8YvZqpGP3Vh3t9oOskzPo/dqJDZiTyR/k/202h4nMM8L/N1+li7j/7Sn72b8m5PLSrkRyc3KsXk27c+3v9vvI/68/PTovLG/ZUckz+7njm+rvw3RlBRN+j+98Z/5m83P/0xIoXDV9+9s18jHLnAwHL+YrebTsdvR0VHR9REez4PweDrB70TLDwwMTGsdRxxxxLQeDwAAAJhLbBSRuw6yzLNe/M+6u0bbAwAA5g+vwsE4bSvmIKsULlTYw7gcsVhsyvUBAAAAAAAAmPsIj+eg4irhsbL8co2MjEy5PgAAAAAAAABzH+HxHFTc43i6lcPFyxf2QAYAAAAAAAAwP9DzeB6Ex9azeDoKl49EItOuPL7//vuntTxQ2MC+ra1tXjSwx9zCsYvZjOMXs1UjH7uxBx6QzjtvymWu+8cOZRcd2tcxLxSWF2+VEm3ywnEpFPEHrPPCkfHf5UTkjf3u/xxdxilYxpZ3wqMD8NWY544O6Dc6qJ//c2wAv1x+UD8v/7vNc4peZ38wP3se/nOI5p+7//yjUjgqz376v48+3+L7RpJSLOn/PDAQoP1MyIuk5I3+TeFYxfZPIx+7wMFw/GK24tidOcLjOWjJkiWB6V27dpV9X/sfl8Lli9dVjkWLFk37PsDYh3l7e/t4r27+RxqzBccuZjOOX8xWjXzshvbsOegy7TYSeltOTnboEB7JnnOPNNJzCOsoWNt4yGyBazg/HWuR19Qpt6lTXnOnFG2qT8jsb6AnefkQ2YJmC52d0Z9+8Dw+f0hy++Rk3ODdbbvDY2GyBc1RyYtK7ujvIwf+5ofphfeNJuU1L5bXtFhuS/6nYk1z7tgFDobjF7MVx+7MER7PQYcddlhgetu2bWXfd+/evYEeyevXr6/otgEAAACQ3AXrpSUJeVZ5Gwrlc2A3K2dkQM5wj5zBbjm52g5cPV71q/zj+hFxep/UvVXhwhC1afGBQLmpU4o11yZQtscYq5hWMr89BX8uiWCtWtkPk/M3p+h3ZyQ9/vdQcUWzX5GdD5MtWHbsefft8APjsAXMtky8Ob8fRkNlC5dlVcsAAMwhhMdz0OLFi9XS0qK+vj5/+p577in7vnfffXdgmvAYAAAAqDy380h5y1rkDPXIGeqVhnvlKCKvaaHcheulWKu8SFxOJi1nqNsPk2U//VtPPuitAyczKKf7Ean7kQOBsrV8GA2S3eZOealOKd5SvwrlMX4VdViKJPLbWfCnQFRswfFo2ww/WB6vYM7/9Kf7dylkFc7+8435IbIXbZLXs00hq0AebYnhJVrkNi8ZD5P9cD3CAOQAgNmL8HiOOvHEE/Wb3/zG/33fvn169NFHtXr16oPe79Zbbw1MP/GJT6zaNgIAAADzVXbdU6XFUYW6H8uHx1aBPNI/Gib3+BW/IevSYD14E61yW5aNBrJWpexJmYF8dbItP9x7oJWD9Qke/ZkPRLNyxnsKH7g5pXW6M+ZkB+X0PCr1PFoQKCcOBMpjFcrWn7negfJExtpZ2M06WRT92Z+2fZ4b9ivDNZKWY/u/b4dCtp/95xuXF2uSY7eebfn2HhZc29+S7XL9MNlafyyW7AYAwCxBeDxHPf3pTx8Pj80111yjCy+88KD3+/nPfz7+uw2Ud+qpp1ZtGwEAAID5ymtbJXf9JuUslBzqUajnMYW6H5XT8/h45asfKls4bEFy3055FhzHW+TZAHmJVnmtK+S1rZzBg1sq7QbD5MJw2cJmLysnOyJncJ+c/j1y0nvy21Um6+Xs9Dwm9Tx2IFAOx8cDZa9pkdymRVKiPR+INzp/cD0bRC8hpRYeCJSzw36Q7Af/Fiz3divkuvIsI7flxwPlx/zB+MYGJswtXCGnZalCSsgdG/TQTg7YwHwAADQQwuM56qyzztJ//dd/jfcvvuKKK/TKV77SH5BhMjfeeKO2bNkyPn366acrlUrVZHsBAACAeclCSatMtdvSY/KVw/078xXJFiYP7JHjVxqnx6uSnd7HFep2/V68FiSPB4/Wi7ecyl6/d/BoSwflWypMVIdc0trBQm7bnoHd+e2yW26k/Kdqlbu9j0t2G1ttKCIvucAPk63dRf7ngtkRotp+jCbkRYsD5cHRCuUBv+2I0l0KeaOBsvVEjjXLG+mSt3+rwrmQwgXhuRezSnN7PVsPvLaJ0d8jycas3AYAzGmEx3PUokWLdMEFF+ib3/ymP21tK77whS/oda973YTLDw8P6wMf+EBgFMp//dd/rdn2AgAAAMj36bWK4lzrCmn1k6TMoEJWjdz9qF+d7Az356uGh/tGW1b0yBnY6+86zwbeC8elSMyv8vV77YZjfksFf7715Z1p+FgQcmvR4fl5FpQO9yrkh8l786GyVSlPY6A/q3i2+8luo/wQNtEuN7VoNEzO/8xX7jqzIFBO+e1GZBXWNs9er8xooGztLqxSeV+3PHkKZ7PyLPS3thfW49oqm0d/93s1jw7O569m/GRBq7y4hcoFwfJYSxMAACqM8HgOe/WrX60rr7xSAwMD/vSll17qVxK//OUvV8j+x3LU/v379cY3vlEPPvjg+LxnP/vZ2rx5c122GwAAAMCoaFKuhbWLDs+3uBjs8ttb+EFy77Z8P2Or/rW2Cdlh/3f76Yz0+X2TndGevAfC5ZgfJOcD5Vg+qBwNnMuuXB5jyyba5Fp4ubAwUO7zq5JDhRXK2aHyV2v/GepWeKhb2n/gO4oXTeaD5NEweda0vbDtswH2bGA9ex72BGMxP0R2+3ukjL1uQ/nXb6g30B7E8wf8ixe8TtY6Y/TEgD8QX/718uy18KuV82Gy9Vb2+2T7+6fBA3cAQENzPM/+dcdcZX2PrYLYdd3xeWvXrtWTnvQktbe365FHHtF1112noaED/zO3YcMGXX755Wpubp7RY3Z1dVVk2zH/WMW7HZemu7tbfDxhtuDYxWzG8YvZqpGP3dA996jtIGOH9Nxwg9xNmw7tgaxqt89aXDwiZ2CfnOE+vxK4MDDO9zAelqx/sR8uD4+HzH6/3sJw2ULOyFi4PPYz4Ve6+lXLM2WvjYXb44HyXjnpvflK3EMUaHthlb4ty/zphg5MLXNPJPxf/e9hxYeuvSbZgkDZXif/51D+5MDose6H0KMV5mOVyuMVy9Yew4ZFtMC9Zanc1uX+T69p8fhAfsBc++wFpjKfjt2Ojo6Kro/K4znujDPO0Ic//GH9x3/8hwYHB/15W7du9W8T2bRpkz796U/PODgGAAAAUCMWnLatVK5w0Lyx/shW/Tvcm68CHr+NTlu18kThcsFPP9jN7lfIzR2oak0tkGeVrOHJx1GZkH//Fr8vc27B+gPzbTst9LbB+MYC5cFuizwPre2Fhd6ty+S2LJdnoWlTZ+NXJxeycDdmY8+kxveEV/j65goDZfs5lH+9bGDF0aIhv2LZqp1tv/fvUmjfg36fa5vvNS8Z3T/L5DUv9fs2AwAwGcLjeeD888/Xscceq4suukjXX3/9+CB6hTo7O/0eya95zWsUi82CwSkAAAAATBzUjrZIsErTEmMDug0Vhsu9k4fLVuk62JW/dW3JN0mwIDnZ4d8OaWA76w3cbrdVB+ZZGGztNsbC5LGfFnKXyQ+/u7Yq1LX1QHVyS0GY3GzVt5HZ+/r6fZETEwfLtp/8/sr9+ZtVpvdsGx2sz8LkZnkDe6SurQqPvnaunRRoXSavZblcO2birY1duQ0AqKlZ+i8mpmv9+vX6zGc+47eUuPXWW7Vz506/F7INrLdq1So94QlPUDjM5UsAAADAnFYwoJvXsmSScHkoHybbgHwWPu5/KD9Qn5vJh8jpLn8AP6f7Een/s/cfYJJdd53//zn3VlXnnGamJ4eepCxZ2ZYlWw6SbIHBgAHzN7tgwIC9i1keLwtmHzBxscGwXpb1Gpbkn8FBloNs44BtbEtykGxJk3Psns45Vd17/s85Nd2a1oykCd1ddaveL556put2V/WZqsNo/OnvfE6mNl8b4YJk38F7hVzQ6yZjazsWrsmtZbJfwbmhsjt47mJ+yy6QHjnhe6L905ng7PStC0vzdQ5XFIIX03vrpsL9wXr1Zw/rO/vDAvf+uTB5aljB2Bn/5a7iwoXJ4USv7MipsxPIxv/gIfZh8tmb65ZO0uQ2AGBRER6XGdd78opXvKLQywAAAABQtOFyVb4r103ouoP61t8pM96rYPCggoHDMjUj+Qnh6WGZycF8MDt8PD/t7CeSmxe3CsGtqapRtqpRUcvm5629CMZ78r3PL/Z0NpYZ65bGuhXqe7IuMHV9yXNVF3WrSqfK4ZwfFkjt+UDZTZO718mFyS5UnhxUYG2+6sLXi9T6Hxoos9+HxtaF0XUu0F/pDyl09SXuoEQCZQAoD4THAAAAAIDnZ4wPDyN3W3t7fgJ44LAPk90UsmzkJ1rlppLHTisYOZkPn+cmkt3hbUtRg/Cc2gt/9N/MmIKx0zKjpxWMdftJ6RfjOpbnepPD7h/4a7Fbuz9kbpU/bM5VgZSMMCNb3SJVt+TDZHdA31zNxcx4/rWL43zXte9NrpUd75UqjigM8n3XNgjmf1Dgu7DP/kqoDAClh/AYAAAAAHDxQXJNmyJ3W3uLD4yDgUO+2iIY75O1kTQ9KjM1KDPeo2D0lGy68pyJ5Oql7dOtqFNcsVVq3ZoPk9108li3gtF8oOwrLy7iaYKpQcndzjzj78cuaG3aoLhpw9kD+EqoE9hNHFc2yLrbuYcuzo7nO7DdZPJoj/9SG6byob3rXfYTze7XKmk+VA79hLitapGtbvIhtf8BApPKAJBYhMcAAAAAgMtT1aR49U3+5nqJg8HD+TB5rEfWxpI7jM9NJE/0KRjtzvfs+iC5UcrULX0I6wLO5k2Kmjfl7+dm8mGym0p2YfJEr6+xeDHB5IA0OaDw1HfzncBzQXJ9Zz58LdFDF+W6oV2YHM1KsxMy2amzHcpjkntP3ed8qJyerztRyv2aD5fnDibMh8rnTCr7aeXLDJXd93Tvmb/NfRw95/rZ97SiLt8DDQC4bITHAAAAAIArV9mgeNX1/qaZ8XyQ7A7bcyGtD5LzU6xmciAfLvuJ13rZykbZigYptQyH1rnwumm9oqb1+ftRVmb8TL5uw63TfRznXvApzOyEwjPP+JsLTeOGdbLNGxQ3rlucQwOLMUx2vy/32p29lJ9QjvNhfHZSyk7L5CZlpkelXO8LhMpVZyeVzwmV5wJk10X9QmHw2Zv/movkqzeqGhVXt8nWtslWt+Ynx0ul0xoAlgHhMQAAAABgcVXUKl55jb+5CoRg8IifSHaH6xm7Tpp1QeOwzPSIzNARBS4ndFPCVQ35ILmidnkOZHOHwTWs9jc/qxpHfkp6Pkx2E8pu6vZ5mCircPCgNHhQ1h0uV7cyP5XcvEGqqFdJc+/PXDA8FyjPh8rT+Snl7JSMm1SeHnmBUPlskOs/d/bmg+Pnu3/2e+QTbN9ZfcGvdx/5sLpaJnP8bGVKfkrc9zjXtCl2ByWevfle61KqIwGARUJ4DAAAAABYOulqxR07/c1NqAbDR2WGjikYPi6Tm5HiXD5cdGHyRH++3sJNJVe4qWTXxdu4PFPJjpuErVvhb/GqG/KTrmM9ClzAPXQkv87n4aarzegp3/OsY994tie5eaOfeC2bYNKHyq4Pufr8UNlPKJ8NlbPPhsr5x7nXxzz/r3Mfz7+O7uMg/6mzH/tJ4/mvt35KXG5PWSvrLqUq/bqMq+UYOaUgU/1sX7Pr5vZBcut8sCy398rlfQOA50F4DAAAAABYHulKxW3bpLZtilzYOt6rYOiYzPCx/MSvCxjPnUoePnp2KrkqX29RuYxTyY4LJOtXKXK3tbdL00P5KWoXJLuKi4vuSa4925O8XrahU2XJvWeZatnMc0LlJTRfr+HD6sn83spOSKPDCuJ8L7J1P5hwYbcLlEe7/RoVVsxPSPtD/84JlV1f81ztBgCUA/7EAwAAAAAsP1/zsEJR3Qpp7S35eovhE/mp5JHjMtnpc6aSR2Qm+/1BdzYIpAo3kZy/LVvPsO/PbVbc6W43+gPkgqGj+SB55KSM6+l9vofOjis887S/2TCjuGWDTOsmqaZTCpdpqrpc+dD67AGANXOBsj3b1zzh951xofL4GQVRvu/ahqlnp6ddP7f71fckGz/d7A//c6GyP/yvNR8ou5oSppQBlCDCYwAAAABAcdRbtG2V2rY+O5Xsqi3cVPJ4b34q2QV9UyMXmEo+GyRX1C3fVHKm5tk6Dnfw3siJ/FSyq+XITT/vw3yHcu8+2d59SgcpX2vhprFtfefyrb3cuZDX1VT4QLjl2UA5yub3WHYiHyhPDfnaEv9p90ML39NcfTZYzvcpzx/+56eUXZjcIlt19tealvzXAECCER4DAAAAAIp3KnnNzb52wE8lu8DY/eoOY4tz0sxoPkieHFDgJkSD1Pw06LIegOaCw+aNitxtvif5sA+Tzczo8/8245zC/v3+5qstWrcqcrUeVY3Ls26c82aYfLd2KiNb1fhsrYbbZ3N1Fy5Ynnm2R3m+9iJ19vC/0dNnw+Wq+R8E+B9u+CnluUnl/K9MnANICsJjAAAAAEBxS1cpbuuS2roUWZufRB52h+7NTSVbyU2LTg7mg+Tx3vwBaL5SoGX5qi3O60m+Q5oamj9wLxg/88LVFqe/529x7Qo/hR23bFneteN8brK40h3eWL+wRzk3nf8hhp9Unlo4pXz2cL65SWXrDlF0gbK7drYp2z3feaFyVRPT5wCKDuExAAAAACA5XOdsXYe/xXNTySMnZOYOsmtYLU2P+o5kM3ZaZvSk76OdqxNQEC7rWlXdrLj6nJ7k4aNKDR+Tho7lQ8gLCMZ7/M0e/Ybi5g35WouGNQSLxcJNFc91Is/VXjhxlD+cL3dOqHxul7Krvki5uowqmXOrL872XtsgPKdH+exBfe6HH75eAwAKg/AYAAAAAJDsqeTWLqm1S1FuVsHgQQV9+xSMnJK10fw0snHB8vCxs4edtRbmgLOzPcnBuhtlZyeVPfW0gt69Cib7L/jl7hC+cOCgv9l0jf99+loLV3uA4uN+MFFRK1tR6+/Oh8rzXcpTz4bLbiI9judDY2Wee0DfOdUX7jnPBslxzdlp+spGDugDsCwIjwEAAAAApSGVUdy+w9/c9HHQv09h3z6ZqTYpmpGZGPATycHEgO+qzVcGtOaDumVmMtWKV16reMW1Mq5Dt2+vgoH9+YDxQl+fnVDY/aS/xTXtfho5bnW1FkylFr0wLYVnD3Wcr75wB/TN5MPkufqL6RHJTSrbZ6sv3A8NTKZKduSkn1IO56aU5w7o82Fya/7XKlfRkv88ACwWwmMAAAAAQOmprFe8+iWKO2+ScTUQLpztPyhTv0qaHfeBrZnoUzDaLZupme+f9UHfMnPBX1Rzp6K1t8mMHFfYt1dm6KjM89VaTPT6mz32DdmmDX4a2ddaLGclBxbhgL7KfEDsuo7nQmVXfZGbkpmdPDutPCmNDitw131onHq2MmOsO/+re565KeXKBtmaFsVzgXJtR/7wSAC4TITHAAAAAIAS70heqcjd1r/Uh7J+GtmFs/FaaXpYgQuSXW/yyAmpssEHb6pqnA/klo3rvG3aoFzTBik77SeRfQXHRO+Ff2s2lhk8pGDwkO/PdbUWceu2fAi+3JUcWBy+wqJWNlN7gSnlSZlZN6k8+ZwD+sz84XzG/TpSo8BN0wdp/7l4xdWK1tzKVDKAy0J4DAAAAAAoD0FKtmWzci2bfRAX9B/w4ayqeqU4m+9HnujPdwy7rz17eJmf3FzuMDZdqXjFNf7mOpt9iNy/Lz+JegGu+iDs/oG/ueAxblzrb7Z+tZSqWN61YwmnlPWcA/rOTif7YHlSmhp8tkvZVbNUNcvEOQWDh5XbcJds8wbeHQCXhPAYAAAAAFB+0mc7h1de+2w46yaS3T/zd7UBbhrZXR/v9VO9bnq5UBO97vtG625XtPZWmeET+QoOdwCgzVcZPJeZHVfYu9vfrNzk9Yp8kNyw1h+8xlRyKR3QVydbUbdwSjk3nQ+UZydkJnplpgYVN61Xeu9nFbdsVG79y/zBfgBwMQiPAQAAAABlbUE4O3IyH84OHpZpWC3NjCkY6/H37eipfIhc07r8lRaOCWSb1ilyt5yrtTiYX+v4med/iIuPx7oVjHVLJx6XTVUpblzjg2T3qwvRUULmKyyqJNfjXduuYOiYwr79iqubFUSzSo+c9P3accdV/CABwIsiPAYAAAAAYC6cbVyryN1ys75LODizS6qol7ITMqPdMsNHZcZOy9auyE/xFuqQulSlD/98ADg15A/ZC/r3+6njF2JyUwr790vu5poPatrOBslr84erceheaXH7pLXLTx+b4WMyPU/LNq6ROfxVxX17FW28O//DEAB4HoTHAAAAAACc97+WM4rbtytu2yYzelrhqe8qSNfIukoLFyKPHH82RK5t933KBVPV5CdJ3aFo+ZDwuAJ3AODoKX+o3gsJJvqkiT6Fp78nG2ZkG1YrnptKdqE5SuPQSDeFXNmQ3xuDR2Un+v2hjGb8nxV33qCo8yYpTBd6pQCKEOExAAAAAAAvFLw1dCrX0CkzdiYfIqeqZOvd/e58QDvW7ad2/eRuIQO4uZCwukXxquulKOvXF4wcVzB8QmZ6+IUfHs3KDB72FR2OrWo6GyS7g/dWFTYgx5Vzh0A2b1RU3apg+KiCM8/4GhYTRwr6Dyq38eV+KhkAzsWf/AAAAAAAXARb16Hctvv9YXrBqe8pSFfK1K+SGeuRGc/fbE27P6BOYabwr2mYlm1ar8jd3P3pER8iuzDZdTubOPuCDzeuDsPden4g64JHFyQ3b/SHrylVsVy/Cyy2ynpfd+Im6v0PQOYO1Nv9sKK2rYrW30EXNoB5hMcAAAAAAFwC1xEbdb1a0dTNCk89oSBVIVO/0k8mm/H8zfUhu6nOogpZKxsUr3C3q6Q48qG3D5JdlcFk/ws+1MQ5maHDCoYOy7pu6PrOs0HyBilTs2y/BSwS9x42rPZT6sHQEX/woq1uVRjnFAwfU7TuDl/Z4g/gA1DWCI8BAAAAALjcruHNr1C05myI3LtbxtUATJzJTyNP9OVrJFyInK4qrtc4CH0dR9TQKa29TZqdyPckz/Ul56af96GuR9mMuAnmE7JHvuZ/f/kgeaOfakWCpKsUt233e9W9p67axDaukzn4ZcV9+5TbeJff5wDKF+ExAAAAAABXoqJO0ca7FK2+SWH39xX0PCNT25EP5FyI7KZ6XX9w3SqpokindDM1+UnTtm2KXDjs1u6C5OHj+Wlq2Qs+zM2luuqDYKxbOvZNxdWtips3yTZvkK1qZnI1CVxXdm27bFVj/j0fOJQ/UC83rfRYt6LVL8l3aAdhoVcKoAAIjwEAAAAAWAyZGv/P/aNVNyrseUpB9w9katp9eGxGuxWe2SVb1SDbtkGmmCd0XaXB2QMA49UvkbJTCoaO+soK4w7es75B+YJc/YWvwDj5uGxlY34iuXmj74KmAqHIhRnZls2Kqod9dYU/UM8dDBnnFPfvV7TpbskdnAigrBAeAwAAAACwmNKVvsoiWnmdD+DcNLKpaZOZHPBTurb7mXy9Q1WblKkv/lDVVRu0b/c3RbM+WDSDrv/42AseuucqEMLTT/ibzdQqbt6guGmTbP1KH1CjSFU1Kq6okxk9la+ymByQmtbLPPMJ2RVXyV79Gpl0ZaFXCWCZEB4DAAAAALAk/4s7o7jzBsUrrlbQu8eHqKa6VSaekIZPKezbJ5uulq1dIVvdnIxANcwobtkitWxR5A7RGzmpwAfJR164J3l2XGHP0/5mU5X+oD0/kdywWgqIJoqO68RuXHv2QL2jvs/bT6O7KeSpbgVb7pEyHYVeJYBlwJ/QAAAAAAAspTCteOU1ijt2KuzfLzO0W6ppUTzc6yeRjauDGD2ZD+dq2pITpgYp2ab1itzN9SSPdisYOqRg8IgPi5+PC5nDvj3+Zt1zNKxW3LBWceMaqbJxWX8LuIgu7PYd+d7r0ZMyU0OydkbxM59S0Hm7ovYdvIRAiUvIf5EAAAAAAEi4IFTcsUPBllulvv2K931dpqJeyk7mD9YbOemrAlyA7KaRlapQYrie5IZORe627qUyE735ieTBw76+4nkf5qaXfZ/yUX/fVtQrblij2E291q/209soggP16lbIVjX5yhLbu1dq26Lg1PcUtW0v/toVAFeE8BgAAAAAgGVkgkDq2Kac+2f/o6cUnv6+TKZGpmG1zHhvfspzvNeHdbZupZ/+TFzYWNuhyN3W3CpNDZ2ttjisYKLvhR86M6qwd5e/2bMH9/kguWFtfiqboLJwUhWKW7fIjByWxs7IpOryHd4cogeUNMJjAAAAAAAKFbLWdypX3+kDVnewXtC7V6Z+pcxEv59GDs7skq2oU1y3Il/pkLTw1K23ulmxu62+SZoezYfIbiLZVXa80ENdFcZYt4KxbunE4/mu5IY1vovX/Zq4UL0UuPeztl2274CUm/Fd3hHhMVDSCI8BAAAAACi0qiZFG+9WtOYWBT3P+IPlTG17fmp3rEdh/wHZdOXZw/VafAVGIlXWK155nb8pO6Vg5ITM8PH8r9nJF3yo70oeOCC5m6S4usVPJLuuZFu3KrmvSdJUN8sEof8BRzBwUNGGl/qDFAGUJsJjAAAAAACKRbpa8ZqbFa+6XkH/fl9pEVc1S7PjfgLXDB/NH65X0yHrwuUwrcRKVylu7ZJauxRZKzM5IDNyXMHw8fxUso1f8OHB5IA0OaCw+8n8wXv1nfN9yYmc0k4IFxzbmhaZ0X6Z+lV+ijxu21boZQFYIoTHAAAAAAAUmzCtuGOn4vYdPjB2IbIytVJuOn+43nh3vm+2piV/uF66Somv8Khp9bd41Q1SlPWHBwY+TD7xgofuzR+8N3zMH+imY+7gvTrFzZsVt23NT2pjcdW2ywydlmbGfNUK4TFQugiPAQAAAAAo5lC1aYNyTRv8IXrB6ScVpKsWHK4XjPfJVjUqdiFyRV1pTNyGadmm9Yrczd13XclzQfLoSZlo9gUfbmbG/ESyu7l6i7h1a37KmZ7kxVFR5zuozUSfgpGT/v1xlSQASg/hMQAAAAAACeBqKqKuVyuavk1hz1MKenfL1K3I1z24XuS+vbKZGsX1K6XKptIIkc/tSq68SnHHVVIc5UPzs33JZqL3BQ/ec/UWwfFvybpbw+p8kNy8kZ7eK2DOToqb0dOyNlLQt9fXrQAoPYTHAAAAAAAkSWW9ovV3Klr9Eh8gh90/kKlpk6aHzx6ud1A2U624frVU2VBaIbLjOnfrVymqXyWtuUXKTueD5LnJ5OzEBR/mXgUzctJPytojX1PctMFPI1vXkWyCZf9tJJ2rA3Gvp5kc9D+4iFe/pPT2GgDCYwAAAAAAEilV4Q/Wi1dco2DgoK+08AfFzbiKh1MK+/fLVtSeDZFLuFIgXam4dYvUuuXswXv9CvoPKBjYLzP7PEFynFM4cMDfrDu4r2VLPkiuaScAvVipCqmiQWai3//wwoyd9ocWAigtTB4DAAAAAJBkQegPhnPhpz9c78S3pYp6aXpEwejJfJ2Fq31wwZ7rRC5lvk6hTZG7rb3V1yoE/fsUDB6SibIXfkh2yteAuJutbFQ0149cyoH7IvHVFYOH/EGO7uC8iPAYKDmExwAAAAAAlNLheo3rZQYPK3XiMcWutmJqSMHoKYW9e2SrGvKTyOVwcJwJfMdx5G7rX6Zg6KiC/v2+3sLY+MIPmR5W6uTj0snHFdet9CFy3LJZSlUu+/KTwIXtxoR++thNv0cbXkqXNFBiCI8BAAAAACi1ELllk7LNGxT0H1R44nHFVY2+m9a4EPnMLtmqpvwkcqZaZSFM+2oLX2+RnVIwcMAHycH4med9SDDW7W/26L/LNq5X1Ob6kdf7SW/MvUihbHWzrwoxDZ0KBg4pbt/OywOUEMJjAAAAAABKkQkUt3Upbt2soG+vr7MwPugbkBk5paD3Gdmq5nxPbbpKZcN1HK+4xt80NazQ1Vq4ieSZ0Qt+uZtSNkOHFQwdlg0zihvXyTZv8L8qzKjc2epWBeN90syY32eEx0BpITwGAAAAAKDUQ+T2Hb6CIejdo/Dkd2WqW2Qm+nwnsDnztA8Abf2q8qtnqGpUtOYWRatvlhnvyU8jDxyQyc1c8MtNNOsP2ZM7aM/XYqxR3LTB38pmivu5MrWy6Uq/n4KRfNe2XF0KgJJAeAwAAAAAQDkIUopXXK24bZuCM88oPPWETHXrsyHy5IA/bM7WuRA5U35VH3UrFbnbujtlho8pdNPIQ0dlbPT8E8nDxxQMH5M98lX/eB8kN28sr/DUvXZuH42dlo0jhX37FK25udCrArBICI8BAAAAACgnrv931fWKO3Yq6H5K4eknZWpaZcZ7Zca6/eFnttaFyCvLs5bB9fg2b1TOhcC5GQWDhxT07VMwdvp5H2Lc7WxHso5/S7GrA2ne6INkF6y6gLWU+fB49KTM1ICCvj2KVr+k5H/PQLkgPAYAAAAAoBy5/t7VN/lp5PD09xX0/ECmtl1mrCd/m+iTremQrVvhA+eylKrIV36075BmJxQMHVEweCQflNr4eR8WTA1KpwYVnvqubKbWh8hx00bZ+pW+RqTkuEn1igb/gwdT0+4n2W1DZ6FXBWAREB4DAAAAAFDOUhWK1t6iaOU1Ck8/oaDnaZnajnyAPH5GZqJXtvZsiByUcYyQqVHccZW/+Ynk4WMyg0fyv8bZ532YmR1X2POUv9lUpeKm9b7ewvUll1Iob2taFQwcknLT+eljwmOgJJTxn/oAAAAAAGBeukrRujsUrbzO9yEHZ56WqeuQGe32h8m5INnWtMvWdZRnncVzJ5Jbu6TWLkVxTmbk5LNTybmp532YyU0r7NvrbzZIyTasVdx89sC9VIWSzFY1yQahnz52IXK04WXsE6AEEB4DAAAAAIBnZWoUbXipolUuRP6ugjAjU7/y7CRy79kQuTU/iZyq5JVzIXDTekXutuEu/zrlg+TDMjOjz/v6GBc6Dx1WMHTYB8kujI5XXCNb3ZLM19QEfu1msl+modMHyHH79kKvCsAVIjwGAAAAAADnq6hTtPFuRatuyNdZ9O6RqVt5NkA+24lc3Zw/WC9dzSs4F6DWr1Lkbmtvl5kalBk87IPkYLL/BYPksHe3v8X1nYpWXCvbtC5x/cju4LxgvFeaHvX7hfAYSD7CYwAAAAAA8PwqG/Ih8uqb8wfrnXkmX2fhDkcb61YwMSBb1ajYhcgVdbySc4zxk7juFq9+iTQz6mst3FSyO1DOyF7wtQpGT/mbrahXtOJqxW3bk1NpkamRTVf66eNg9LQ0NSxVNRZ6VQCuAOExAAAAAAC4uDqL9Xco6rxRwdkD4Extu8zkgA9Dw949shV1iutXSRX1PjzFOSrqFa+81t+UnVIwdNRXVpjh4zI2Pu+lcpUXqWPflD3xuOK2bYo6rpaqm4s/MK9pk3Hhdxwp7NvnD2MEkFyExwAAAAAA4OKlKxWvuVnxqusUnNmtsPv7Mq6nd2pIwWi3DwxtpiY/iVzVRIh8wdewylc6+FqH2XGFZ3YpOLPrgoft+UqLM8/4W9ywWpHrRW4s3koL33s8ckJmakBB/15Fa25mDwAJRngMAAAAAAAuXZjxAXK84moF/fsUnnpCcVWzND2iYKxb4cBBX2HgOpH9IXBFGnYWXKZW0Zpb8hPdAwcVdP/gefuRg5GT/lbUlRZhxled+FqTmvb8FHLD6kKvCsBlIjwGAAAAAACXLwgVt+/w1QrBwCEFp5/w4aGbqHW9t8Z3/J6SrV3hKw3c1+NCr2PKv4Zx61Z/IGHQ/ZSCwUMX7EY+r9JixTX5Ke9iOjhv4JCUm/IH50WEx0BiER4DAAAAAIArZwLFrVsUt2z2Pb6hC5Eztb7f14ydlhk57n/1IXJtuw9LcaHX0fhp7cjdZlylxTMKel2lxfSLVFqsOafSorB907aqSTYI/fSxC8Cj3F1SKlPQNQG4PPxJDQAAAAAAFjf8bFqnXNM6GVdfcfJ7CtJVsvWr/X03hexD5JoO2bqOfM0BLqyiVtHaWxWtvklB/wF/UOHzV1qc8Ddb2eAP18tXWhTotTVBvvvYHabYsFrB4EE/nQ4geQiPAQAAAADAknATtLntD+QnUE89oSBdKdPQKTPWIzPeKzN+RraqMd+J7Kou6EV+/koLd8Be2zYfwPsQefDwhSstpkeUOvaNfKVF+w5Fq19SkF5kW9OqYLxXmh5V0LuX8BhIKMJjAAAAAACw5EFi1PUqRdO3+DoLFyaaupUyE335YLn/gGyQkq1ukq1qkSrqCl69ULRT3fWrFLnbzNjZSovdz1NpkVXY8wN/CF9uw12yzRuWd63pGtl0Vf79HT0tTQ1LVY3LuwYAV4zwGAAAAAAALA9XqbDxbkWrb1bY/X0FZ3b7EFnZyXzFweSggvE+2TDtp5H9RHK6miD5QirqFK29zU8WB/37z1ZaDJz3ZSY7ofT+RxS1bFG0/qVSumr5gu6a1vxhia6buW+vr+AAkCyExwAAAAAAYHllahStu0PRmlv9QXq+z3fwiEzDGml2/GyQPKBgrEc2VXFOkLxMwWfiKi12+I5j3zHd85TMBSotwoEDvhM5Wv8yf6jhckx2+97jkZP5Hwq48HjNLfwgAEgYwmMAAAAAAFAYQSjbtEGRu0WzCoaO+iDZDB+TaVzr+3J9kDx+xlcf2Ex1Pkiuai5Ij28SKi1y9ask13t85OsKRo4v/JLctFIH/1XxwH7lNrzch/hLyh2GWNkgM9knU9vug2TbuGZpvyeARUV4DAAAAAAACi/MKG7t8jdlpxUMHsoHyaOnZOLIB6I+SB49pWD4hGxF7bNBcpgu9OqLS2WDctseUNC/T+HRb8hEMws+7UL69OiH/fS3m1heyinkuLpV4cBBKTeloG+PIsJjIFEIjwEAAAAAQHFJVyru2Olvmp3I11q4Xt/xXtk4kpkeygfJbkJ5+LhUWe8P2rNVTX6aGflJ5Lhtm+KGNfkp5KHDC14WE80qdfjfFPsD9V7uX8MlUdXoD0P0B+cNHlaUm2FqHEgQwmMAAAAAAFC8MjWKV13nb5oaVjBwQGH/fpnJVinOykyeDZKHDssMBbIurKxuliobJRMUevWFl6lRrus1MoOHfIhsclMLPu16kNNP/X/+8L244+rFn0I2gX8//HvUsFrBwMH8DwUAJALhMQAAAAAASIaqRsWrX6K48yaZyf78NLKrtqhtl6IZfzCbP2iv/2D+oL2G1flai2U4HK7o+5BbNitb36nw2Dd8+L7g03FOqaP/np9C3niPf50Xk61p81PjrnrEHZxHeAwkB+ExAAAAAABIXhha06bI3dbeLjPWnQ+SBw7K1K2UspMKRk4qGDgkW3FGccNaqaK20KsuvHSVos33Km7ZotSRr8rMTiz4dDDWrfRTH1G05mbFK69bvMntdLVsuipfXTHaLU0NSa5iBEDRIzwGAAAAAADJDpLrVylyt/UvlRk5qbD7SR9YamZUwfBxhb27FVc3yzasoW/XTQI3rVe27k0Kj3/LvzYLXk4bKXX8UT+FHG16hT+UcFHeo5pW/97YOKewb5+itbde+fMCWHKU/wAAAAAAgNIQhLJN65Tb/qCy2++XbVyXP3iveYPMzJiCnqdlhk9Ica7QKy28VIWijXcru/1B2YrzD8sLJvqUevpfFJ74thRHV/zt5kJoVy3iqitk4yt+TgBLj/AYAAAAAACUFjfp2rRB2Wt/QrmNL1fcuEbxymtk61fKTJxR0POUzPgZyVqVO9cLnb3mJxStuFbPfTWMjRWe+o4Pkf3rdSXCjFTZIDPZJzMz7qeQARQ/wmMAAAAAAFCaglDxiquVvf7NitxBey5EXnGNbGWjzPAxBWeekaaGCZHDtKL1dyq380dkL9BFHEwNKvXMxxUe/aZslL3styN21RUzE1J2SkHv3it8cwEsB8JjAAAAAABQ+hUN625X9rqfUtSxU7Z5o6+zcKFp6A7a698nPefwuHJk61Yoe/WPKeq8UVZmweeMrMLu78t+5x9khy9zariyUTZM+enjYPCQlJtZnIUDWDKExwAAAAAAoDxUNijqerWyV/+IYhcgt21T1LpFimYV9O6SGTzsPy5rQUrRmluVu/qNiqtbz//81JDsk/8sM3Ts0p/bBLJVLTITAzJxTsHAwUVZMoClQ3gMAAAAAADKiq1bqdxVP6pc16tlm9b6agt3uJ6ZHs73IY+eWpRD4pLM1rTlX6M1t8ia8+Oj1JGvXVbdh3XVFa76YnpEQe+eRVotgKWSWrJnBgAAAAAAKFbGKG7dorh5g4LupxSe+q5MdYvM6On8baJPtr5T1k3fmoUVDmXVGd15k5/STh36ioJzDs0zM2MyY92y9asu7TnT1bLpapmJfgWVPX6SWRfoWQZQHJg8BgAAAAAA5StIKe68Qdnrf1rRqusVN63LTyJnahUMHvF1FpoeVVmralZu5xsUPyfk9V3Rl8qY/PSxC43jnMI+Ds4DihnhMQAAAAAAQLpa0ca7lL3uJxW3b5dt2ayoY7sPO13AGfQfkLLT5fs6mcB3RJ/LdxbHuUt+Klvdkn/KyQEFffskGy/aMgEsLsJjAAAAAACAOVVNym27X9mdP6S4aYPi9h2KWzZJ2QkFZ57OH6qXK88QOW7tWnDfuIMGB49c+hOFaX94oauuMDPjMsMnFm+RABYV4TEAAAAAAMBz2IbVyl3zY8ptfoXiRneo3jX+mnEHvblD9QYPSdmp8nrdKmqlprVXXl3hgmhXXTE74V/DgOoKoGhxYB4AAAAAAMDzVTX4yePNCk5/X2H3D2RqO/xheu6wODP5tGxVc/7QuHR1WbyGZsVO2aHjz94fPi65EDhTc2lPVNkoG6b8axkMHlaUm5FSFYu/YABXhMljAAAAAACAFxJmFK+5Wdkbfka5dbc9O4ncuF5mdlxhzzP5TmQXopa61s352omzjKyCgQOX/jwm8N3HrvfYxLn86weg6BAeAwAAAAAAXIxUheLVL1H2hv+fcuvvVNy0TvHKaxU3b5CykwrP7FLQv1+aHS/Z19OkMlLblgXX/KF3l8FWt8pEWWl6WEHfnkVaIYDFRHgMAAAAAABwKVIZxZ035CeR179UcdN6xSuvUdyy0R+mF57ZnQ9UZ8ZKtrriXMFkvz/87pJlamQz1Qom+hWMnZEmBxdvkQAWBeExAAAAAADA5QjTilddp+wNb1Zuw135EHnF1YpbNknxrMLePfnD4KZHJWtL5zVuXCObqV2Ug/Pc9LGmhqU4p5CD84CiQ3gMAAAAAABwRelKyk8eZ6//aeU23aO4eb3ijqsUuX7gs6Gor2WYHimJENkYo7ita8E1X9dh40t+Ltd77J9zciA/rX0ZzwFg6RAeAwAAAAAALErKklLcsVPZ635auc2vlG3akA+RXUewtQr79ino3Z2ftE14iBy1bl1w32QnZUZOXPoTucP3Kht97YWZneDgPKDIpAq9AAAAAAAAgJIShIrbtytu2+rD0PDUdxVXNvnJ42D0lML+/b7rN65fJbnrxihxqpsV17QrmOidv+Qmh6PGdZf8VHFNq8L+A9LUoMJDX5YNUrKu+gNAwREeAwAAAAAALAUT+AA5bu1SMHBQwanvSpUN0syogtHTCvsPyqarZOtXyVY1Jy5E9uH4ueHx4GFFuVl/oOAlqWxUXN3iXyNrrVL7P69o873nVWMAWH6ExwAAAAAAAEvJdQS3blHcsllm6IjCk9+RKuqlmTEfIgcDh2Qz3YobVksVDYkJkeOWLbLHvilztqfY2EjB4EHF7Tsu7YmMkW3eKA0ZmcFDCtzzHfyiZHOX/lwAFhXhMQAAAAAAwHI4G5LmmjbIDB87GyLX5UPkkRMK+/bLVtQpblgjVdQW/3vipqYb1/lA/NzqissKfN1r07TBT2u75wuslTn4FeXiWPGKqxZ33QAuGuExAAAAAADAcvJB6XrlXPA6fFzhicfyIfL0kIKRkwp7d8tWNeUnkdNVRf3eRK664tzweOy0ND0qVdZf3uviOpONUTB0VLGNlTr8VeXinOJV1y3uwgFcFMJjAAAAAACAgoXI65RrXOv7fsPjjymubJSZHJAZOaXgzNOy1a2y9Z1SqqIo3yPbuF42rJCJZuavBf37Fa++6fJfk4a1ik2gYPi4YsVKHf1GPkC+3OcEcNkIjwEAAAAAAIqhE7l5o4LePb7OwlQ1y0z0yoyelpkclK1tl61bKYXp4nqvgtCvPTzzzPylsH+v4s4bL7+72QXI9asVywXIJxXHsVLHH1MUR4rW3JyYTmigFBAeAwAAAAAAFEsQu+Iqxa4KoucphaeekKlpkxnryd8m+nyAbGs7/NcWi7h164Lw2EyPyIyfka1bcflP6ieQOxW7CouRk34C2f+ObU7R2tsJkIFlQngMAAAAAABQTMK0n9yN23cqPP2Egu4fyNS2y4x2y4yekhnv8VUWtqbNHzBXaC7MtpUNPjSeE/TvU3Ql4fHcc9everbCwlqFspKbQF7/UgJkYBkQHgMAAAAAABSjdKWidbcrWnGNr7IIwoxMXYfvQzbDx/w0sg+Rq1sKG6Qao6h1m1InH5+/FPQfULTuzkWZkHYTzD5APnuInn9GFyBvfDkBMrDECI8BAAAAAACKWUWtok13K1p1ncITjysMK3x9RTByQsHgYdmxHsUNq6XKhoKFqXFrl3ROeOwO0DPDR2WbNy3K87vOZ1dhYYaOSPMBck7R5lcUxfQ1UKoIjwEAAAAAAJKgqklR12sUr+pVePxRKV0lzY77EDns3y9bUZcPkSvqln9tlfWK6zsVjJ6avxT27VVukcJjZ66mwwwelnyFhbsYKdp8b1F1QAOlhPAYAAAAAAAgQdwUbm7HgzLDJ/IhcqZWmh72B8uFvXtkqxrzIXK6etkPzjs3PDbDx6XsVD7kXiSuosO6Q/QGDsn0H/Ahsokj5bpeLQXEXMBiY64fAAAAAAAggWzjGuWufqOyW18j27ReccdOxS2bfGAbnHkmP6Eb55ZtPXHzJtlzAlxjYwUDBxb/G1U1K27ZIk2P+ud3QXJq7yNSlF387wWUOX4kU+KstTp+/LgOHDignp4ejY+Pq6KiQo2Njerq6tK2bdsUhvzTDgAAAAAAEskY2ZbNyjZvVNC7R+GJb8tUNclM9MmMnpLpHc/3Eacql34tqYzipg0KzwmMg759ildcs/jfy01Xt27Jh8f9+10CotTezyq37T4pzCz+9wPKFOFxCRobG9OXvvQlffWrX9Xjjz+uoaGh5/3a2tpa/fAP/7De8pa3aPXq1cu6TgAAAAAAsEhMkJ88bu1S0PO0wlPfk6msV9C3X0Hvbl8poUzNkr/ccdu2heHxRK80OShVNy/+N6tsyP9++w/4kFpWSu35tHLbHpBSFYv//YAyRG1FiXnsscd022236V3vepc+//nPv2Bw7LhJ5H/4h3/Q6173On384x9ftnUCAAAAAIAlEKYVd96g7DU/Jlu3SnHHDh+kBn17pKnhJX/JbcNq2ed0LYf9+5buG1bU54NxV9XRt1fB8Amldj8sZaeX7nsCZYTJ4xLjwuBsdmHHTyaT0bXXXquNGzequblZs7OzvsbCTSXPzMz4r5mcnNRv/uZvanp6Wj/1Uz9VoNUDAAAAAIBFUdmg7FU/otS+z/qp5GDwsIKB/bKN62RrO5Z2Arq1S2H39+cvuVqJaM0t/nNLoqLWTzwH/ft8gOwrLHZ/Urkdr1/2QwOBUkN4XKKMMX4C+cd//Md19913+57j5+rr69Pv/d7v6Qtf+ML8tfe85z268cYbfRcyAAAAAABIsHSlcjseVHjwyz64NcPHFQwdU5yb9RPCri95yaorzgmPzey471+2DWu0ZDI1+QC5b5+C3r3uECildz2k7I4fWpa6DqBUUVtRgl72spfpk5/8pP72b/9Wr3nNay4YHDttbW36i7/4Cz3wwAPz1+I41vve975lXC0AAAAAAFgyQUrRllcp6rzBTx3HjWtlxrtlBg9JNl6Sb2mrWxRXty5chuskXmrpah8gy0Z+AtmMnfEBsmbGl/57AyWK8LjEvPzlL9cHP/jBS5oc/u3f/m3V1Dz7U7hvfetb/tA9AAAAAABQAoxRtO4O5Tbepbh+peKWzTLTw/mKhzi3JN8ybtu64H7gwupoVksuXXU2QLYKevecDZA/Ic2QcwCXg/C4xKRSl95E0tjYqDvvvHP+vutM3rNnzyKvDAAAAAAAFFK84mrltt0nW9ueD1hz0wp6d/tfF/17tWyR1bO1GCbOKRg8omWRqsz//vzE8x6Z8V6l3SF6sxPL8/2BEkJ4DG/t2rULXon+/n5eGQAAAAAASoxt2qDczjfkA+T2Hf6aD5BnF7naIVMj27gwawj63WF2yyRVobh9u4utfWWGC5BTez4lZRc/KAdKGeExvImJhT99S6fTvDIAAAAAAJQgFxxnr/pR2bqV+YA1VZmvsJgaWtTvE7curK4wIyeXt384zJydQLb+9xeM9Si199PLU58BlAjCY3j79i0sru/o6OCVAQAAAACgVFXWK3vVjyh2h+i5gLWyQcHAAZnxM4v2LeLmDbJhZv6+K7EI+vdrWbkJ5NZtvts56NuvYOS0UnsfWbKuZ6DUEB5DJ0+e1BNPPDH/StTX12vHjvw/XQEAAAAAACUqXancjtcratvmD9GztSsUDB2TGT7uD5y7YkHKP++5QlddsRjPfSnSlfkA2XU89+9TMHxMqf1fkOJoedcBJNCln66GkvOBD3xA9pw/uO+9997LOnhvjjHPFuIDl7t32EdIEvYukoz9i6Qq5r17MetxX1Ns68byKOa9izIVphV3vUqqrFNojOJUhQ9X43hWtnmjZJ6dOzTnHoAnI2tePASO27YqdJ3Kc4+bGpKZ7PPVGcuqotqvxddXDBz0v6/UoS8r2nLvgt8jShN/9l4+wuMy961vfUsPPfTQgq7jX/iFX7ii52xsbFyElaHcNTQ0FHoJwGVh7yLJ2L9IqqLbu/X1F/El9e4vzsuyHBSvotu7KG9N9yluXSW770uy1XWyfftlhg9J7dtkwvPPRaqorLiop7UVG2QrG6Tpkflr6cGDCloXHqa3LCorZTNXS2f2SKPH/P3gzHdltt7LD3PKCH/2Xhp+tFLGent79Ru/8RsLpo5dcLxu3bqCrgsAAAAAACy/oPM6Bdf8sEz9CpkVO2Wz01L307LZqSub+FzxnGrM3r2yBaqMMFUNUnuXNDkk9R9UfOoHsge/uiAbAfAsJo/L1MzMjN7+9rerr69v/tr111+vX/zFX7zi5x4eHr7i50B5cn+pmPsJ4MjICP/xRmKwd5Fk7F8kVTHv3WB0VC82ezw6OqqYvzeXpWLeu4CXapHZ9BqFez4j07Qlf8Dd8ScVt3bJVNTNTxzPTM/I6iL3b9MmZY4++uz97JRme/bLNm8ozIseVMs0rJUZOCTlYsUz04qms4rX3FyY9WDJldOfvY2L/C+bCI+XyD333KNTp04t1dPrne98p9761rde1mOjKPKPf/LJJ+evrVy5Uu9///t9bcWVKuX/B8TycfuIvYQkYu8iydi/SKpi27sXs5ZiWzMKg32AYmVr2hVf9aNK7/204iBU0H/AdwXHLZukypX5r3HB8cX+MVbRoLhupYKx7vlLYd8+5ZoKFB679Ve1SE2xgsEjMiZQ6H47QVrxqusKtiYsD/7svTTUVpSh3/md39EXv/jFBT+R+L//9/+qo6OjoOsCAAAAAABForJe2Z0/orhpveK2bVJlgw+R7cizAfCliFu3Lrhvho5IuWkVkq1pU9y4VsFot8zYaaWOfkPBmV0FXRNQbAiPy8yf/Mmf6KMf/ej8/erqav2f//N/tHnz5oKuCwAAAAAAFJl0pXLbX6eobZvils1S3QrZwSOyg0fd+OYlPZWbWrYmnL9vbKxg4KAKzdatUFzfqWD4pMz4GYWHv5qv6gDgUVuxRFwFhOsVXiqrV6++5Mf81V/9lT70oQ/N389kMvrABz6ga6+9dpFXBwAAAAAASkKQUrTlXj+JLGNkqutkB47I5KxsXb7C4qKkKv0Uczh46Nmn7tunuOMqFZqtX6XYRjLDxxQEoXTgi7JhWraAtRpAsSA8XiJXX321isk//dM/6c///M/n74dhqD/7sz/T7bffXtB1AQAAAACAImeMorW3SpV1Mqcek2YnZcZ6ZWtX+M9dLFd/sSA8Hu+RpoalqsU94OuSGSPbsEaKI5nBw74DObXv837q2jZc+vAeUEqorSgDDz/8sH7v935vwQmTf/AHf6BXvvKVBV0XAAAAAABIDjclbJrXS7VtMrkZaXb8kh7vAlqbqlpwLezfp6LgAuSm9bJVzQoGDslMDiq197MyYz2FXhlQUITHJe5LX/qSfvM3f3PBSc7vfve79UM/9EMFXRcAAAAAAEges2KHVFEvG2ZkJgcu7cFBqLh1y8JLLjy+xP7kJQ2QmzfmDwccOJAPkPd8Wmaiv9ArAwqG8LiEPfroo/rP//k/K5fLzV975zvfqZ/8yZ8s6LoAAAAAAEBCtW6WcX3A1S0+XJWNL+nhrrriXGZmTGasW0XDBIqbN0mZWn9wXj5A/pQ0NVTolQEFQXhcop566im97W1v0+zs7Py1X/qlX9Jb3/rWgq4LAAAAAAAkl0llZNo2y9a0ysQ5aXrkkh5vq1sVVzUvuBb07VVRcRPSLVukdJWfjDYTA0rvfliaGSv0yoBlR3hcgg4cOKCf//mf1+Tk5Py1n/mZn9F/+k//qaDrAgAAAAAAJVJdka6SzVRfenWFMYrbti64FAwelKKsioqv2OiSgowPt111hQ+QZycKvTJgWREel5iTJ0/qP/yH/6Dh4eH5az/6oz/qe48BAAAAAACuWNN6KV2dr66YGpbcBPIliFu3ysrM3zdRVsHQkeJ7Y4KU4jYXIIcK+vbJjPfmKyyy04VeGbBsUsv3rbAcPvnJT6q3t3fBtYceesjfLoWrvPiVX/mVRV4dAAAAAABIOhME/uC7YGpYZuSEzNSQbE3bxT9Bpka2YbV/7BwXzvpJ32ITZnzYHfTtyddrGKPU3k8rt/1BKZUp9OqAJcfkcYmxFzihNIqiS75d6HkAAAAAAAAcH/SGGami/tKrK/zBeQurK3yQXKyVEKkKxa3bpDjyIXcwckqpfY8UX9UGsAQIjwEAAAAAAHBJbG2HbGWDr67QzKiUm72kx8dNG2WD9Px9I6ugf3/xvgvpSj+B7H6fbp3B8DGl9n/BB8pAKaO2osT86q/+qr8BAAAAAAAsmbMH35nJQZmhozJTA7J1Ky/+8WFaccsmha4K4qygf5/iVderaGWq/cR10L9XQf8BH3mHJ7+jaO2thV4ZsGSYPAYAAAAAAMAli1x1RRDKVjVdXnWFm+Q9RzA5IDPRX9zvREWt4pYuaWZMZvS0glPf8wfpAaWK8BgAAAAAAACXrqpRcV2Hr64ws5NSdvKSHm7rO2UztQuuhScek2xc3O9GZb1s3SqZsdMyM+MKD36J+gqULMJjAAAAAAAAXP7Bea77OAgvffrYVV88d/p4+JjCY98q+nfD1q+U0tUKhg4rmOj39RVAKSI8BgAAAAAAwGWJW7f44NhWN+fDY2sv6fHRiqtlU5ULroU9P1Bw5pnifkdMoLhpg5Sdpr4CJY3wGAAAAAAAAJcnXS3buFa2ulUmNyvNjl3a4zM1ynW9VtYsjKjCI1+XGT5e3O9KpmZhfcWhL1NfgZJDeAwAAAAAAIDL5qsnKmplU5nLOjjP1q9StPHuBdeMrFIHviBNDianvmK8T+HJ7xZ6ScCiIjwGAAAAAADAZYub18uGmfzBeS7svYwD7+K2bYo6b1xwzUSzSu/7zCUfxFfY+orvyoz3FnpVwKIhPAYAAAAAAMDlCzOKmzfkqyviSJoevqyniVbfoqh584JrZmZMqX2fk+Jc8b5D1FeghBEeAwAAAAAA4MqrK9JVsplqBZdRXeEZo2jzKxTXdiy4HIz3KDz0lUs+jK8w9RVHqK9ASSE8BgAAAAAAwBWxjWtkXXhc3SJNDV/+pHCQUq7rPtlM7YLL4cABBae+k4D6iinqK1BSCI8BAAAAAABw5eFpa1c+PJaVmRq6/OfKVCu37QHZML3gcurkdxT0709AfUW3zOy4wkNfllyNB5BghMcAAAAAAAC4YnHbVt9/rIp6mYn+K3ouF0LnNr/axdALrrtA1oWzxV1fUaVgkPoKlAbCYwAAAAAAAFwxW9MmW9Xog1930J1yM1f2fE3rFK2/c8E1Y+P8AXrTIyr6+oqxbgWnvisz3lvoVQGXjfAYAAAAAAAAV84deOeqK6qaZYNAZmrwip8yXnGNoo6rF36b3JTS+z57xeH00tZXrPTdx9RXIOkIjwEAAAAAALAoXO+xglC2slFmYmBRntNNH8eNaxdcc53KqQNfKNpOYVu/SkpRX4HkIzwGAAAAAADA4qhqVFy3Il9dkZ2UZiev/DlN4PuP46rmBZeDkRMKj/67ZK2Ksr6imfoKJB/hMQAAAAAAABZ3+riyQTZMyUwuzvSxUhnltt0vm65acDns3aWg5ykVJeorUAIIjwEAAAAAALBo4tbNsq66oqpZZmpg8SaDK+qV67pP1oQLLofHviEzdESJqK849b1CLwm4JITHAAAAAAAAWDzpatnGdbI1LTK5WWlmbNGe2tatULT5FQuuGTeYfOBfZSb6VPT1FSe/U5zrBJ4H4TEAAAAAAAAWVdzWJWXqZFMVi1ddMffcLVuUW33Lgmsmzim17xFpdkJFX19x8MtFe9Af8FyExwAAAAAAAFhUcdMG2TCdPzhvalCy8eI+f+eNilq3LrjmgtnUvs9KUVZFXV8xQX0FkoPwGAAAAAAAAIsrTCtu3pivrnBTtlPDi/v8xijaeLfiupULLrtgNnXoS4vXs7wU9RWjp6mvQGIQHgMAAAAAAGDRxW1b/bStzdQoWOTqCi8Ilet6rWxF/cLLg4cVnnhMxV1fMUF9BRKB8BgAAAAAAACLzjasls1U++oKTQ9LcW7xv0m6StltD8iGFQsuh6efUNC7W8VbX3GY+gokAuExAAAAAAAAlqaqobVLtrrZxaYyk4NL8ypXNSnX9WpZszDmCo98TWbkpIoK9RVIGMJjAAAAAAAALAkXHivMSBX1MktRXXGWbVijaP3LFlwzNlZq/+cXv2/5SlFfgQQhPAYAAAAAAMCSsDVtslVNsjWtMjNjUm5myV7puGOnopXXLbhmohml931Gyk6r+OorKqmvQNEjPAYAAAAAAMDSMEZRW1c+QA6CJZ0+dqK1tylu2rBwCdMjSh34vBRHKq76io1SdsofoBec/I7MRF+hVwWch/AYAAAAAAAAS1tdYULZyqZ8eGzt0n0zEyi3+V7F1a0LLgejpxQe+6aKCvUVSADCYwAAAAAAACydygbF9Stla5plslNSdnJpX+0wrdy2+2XT1Qsvn3lawZldKibUV6DYER4DAAAAAABgScWtW6XKRtkwteTVFV6mVrmt98macMHl8OjXfU1E0aC+AkWO8BgAAAAAAABLKm7ZJGsC2armpa+uOMvWdijaePeCa8bGSu3/nDQ9qqJBfQWKGOExAAAAAAAAlla6SrZpvWxNq0yUlWbGluUVj9u2Klp5/YJrJjet1P5HpGhWxVpfkTrwr5J7nYACIzwGAAAAAADA8hycl6mVTVXITPYv2yserb1VceO6BdeCyQGlDn5pWSagL7W+Iug/oKB/v1K7H/b3gUIiPAYAAAAAAMCSi93kcSojW90iMzUkxdHyvOomUG7zq2SrmhZcDoaOKDz5bRWNTI3ili3SzKiC3r0KRk4o/fTHpKnhQq8MZYzwGAAAAAAAAEsvTPvpWlvTIhNHMtPLGIqmMsq6A/TCioVLOvVdBQMHVDSqGhW3bfeVGsGZ3TLjPUo/8zGZse5CrwxlivAYAAAAAAAAyyJu3SqlqmQzNTKTg8v7qlc2Ktf1almZBZfDQ1+RmehTUU0gt+/wE9P5ALlXqV2flBk4WOiVoQwRHgMAAAAAAGBZ2IZOHxy76WO5yeNlPhTONqxRtP7OBddMnFNq3yPS7ISKRqpCcft2HyQHffsUuAB5/xcUnH6yeHqaURYIjwEAAAAAALB8B8O1dvneY7kZYNd9vMzijqsVucnec5c1O67U/s8vXw/zxQhS86+VGTykYPSUUke/qfDI1yUbF3p1KBOExwAAAAAAAFg2cVuXFKSligaZyf7lf+WNUbT+ZYrrVi64HIz3KDzy1eKa7DWBbNMG2bpOBcMnZdwhfz1PKbXvc74XGVhqhMcAAAAAAABYNra6Vba6KX9w3sy4lJtZ/lc/CJXreq1spm7B5bBvr4KeH6ioGOPrPuLmDTIT/Qr69ysYOOh7kIuqagMlifAYAAAAAAAAyzv527pVtqpJNghkJgcK8+qnq5Tbep9skFpwOTz2LZnh4yo2tqbN11hoZlxB7x4FIyeVfuZjUgGqP1A+CI8BAAAAAACwrHwIakIfIPvqigJVRdiaVuU237vgmpFV6sAXijOUrWxQ3LZdinMKenfLjJ1R+umPyYyeKvTKUKIIjwEAAAAAALC8KusV16/KHwaXnZaykwV7B2zzRuVW37zgmolmld73iJSbVtHJVCt2B/4FKT+BbCb6lNr9sIK+/YVeGUoQ4TEAAAAAAACWXdy21U/S2jBVuOqKubV03qSoedOCa2Z6WKkDX5RsrKITZvITyJlaBX37FIz3KnXgXxWc+l5xHfiHxCM8BgAAAAAAwLKLmzfJBmF++tiFx4UMPV0P86ZXKK5uXXA5GDnuO5CLUhAqbt3iqzeCgcO+uiJ17FGFh79anIE3EonwGAAAAAAAAMsvXSnbuC4fHkdZaWa0sO9CmM4foJeuWni55we+HqIomUC2cb3ihtUKRk7JDB5W2PO0Uns+I+VmC706lADCYwAAAAAAABRE5KorMrWy6cqCV1d4FXXKdb1W1iyMzMIjX5UZ61ZRMka2fpXilk3+NQz69ysYPKLUrk9IsxOFXh0SjvAYAAAAAAAABWGb1sumMvnp46khKY4K/k7YupWKNrx8wTVjY6X2f06aGVOxcq9h3LrVB8ZB324Fo6eVfvqjxRHKI7EIjwEAAAAAAFAYQSrffezC4ziSmewvincibt+uaMW1C66Z7JRS+x6RXMVGsaqsV9y+Q4pjBWd2yYyfUeqZj8sMnyj0ypBQhMcAAAAAAAAomLh9m5SqVFzbJjN8XJoeLop3I1p3u+KGtQuuBZP9Cg99ubCH+72YdJUPvxVmFPTulRnvVWrPp4q3txlFjfAYAAAAAAAABWPrOxWtuNpXWKiyQcHAweLo6jWBclteJVvZuOByOHhIwanvqqiFGcVt23yHs+9AdhPIB7+s8PDXiqIaBMlBeAwAAAAAAICCija81B/45m5KVfnAU7npwr8rqQplt94nG2YWXj75bZnBwypqQai4ZYtsTbuCwaMyQ0cUdv8gf5BeEXc3o7gQHgMAAAAAAKDwU76b71XcsFpxW5e/7wPkYugXrmpSbsurZWUWXE4d/GLxH0ZnjJ/ojps3yEwM+OqKYPi40k/9Mz3IuCiExwAAAAAAACi8MK3c1vv9pGzctlWKcwoGDhRFzYJtXOs7kM9l4ly+/7gI1vdibE1bvgfZvabuIL2xnnwP8snvFHd/MwqO8BgAAAAAAADFIV2p7PbXyVa3KG7dKmUnFQweKoqAM15xrSLXI3yOYKJPweknlQiZGsUdO/2vvgd55KRSxx9Tat8jUrYIKkJQlAiPAQAAAAAAUDwq65Xb/oBsdZPils3S9LDM8LHCB8jGKNpwl+KqpgWXw1PfkZnoVyIEKcUtXf6QQjN6Kh8i9x9Q+ul/kZnoK/TqUIQIjwEAAAAAAFB0NQu5rtfKVjfLNm1QMN4rM9ZdFOFrtOkVC/qPjY0VHv5KIuor5nuQ6zvzk92zEwrOPCMz2q3U0x9T0Lu70KtDkSE8BgAAAAAAQNGxjWvyQa3r623o9DULxTAda2s7FK+6Prn1FXMqGxS375SCtA+Ng7FupQ5+ReGhf/PdyICT4mUAAAAAAABAMXIH5+VmJ5Q69i3F0azM0FHZMC1VNhZ0XdHqm2WGjiiYGlpQX2Gb1svWtCoxUhX+ID0zfFzB4FHFM+MKbSQz0atc12t8wIzyxuQxAAAAAAAAipab8o1WXuODWRdmBgMHfd1CQQVh8usr5pjAv7Zx80aZqUEFvXsUDJ9Q+ql/8WE9yhvhMQAAAAAAAIqXO6hu/Z3+8Ly4ZZOUrlLQv0/KTRd0WSVTX3GWm5iO23b48Ds4s0tmrEepvZ9VePxxycaFXh4KhPAYAAAAAAAAxc0Eym25V3HDGsWtXf7guqB/vxRlC15fEVc1Lbjm6ivMRL8SKVOtuGOnVFGvYOCAguHjCk9+W6k9n5GyU4VeHQqA8BgAAAAAAADFL0gpt/U+2dr2fIDsJmQHDhS2JqKU6ivmBCk/5W0b1siMdSvo26dg8JDST/2zzNiZQq8Oy4zwGAAAAAAAAMmQrlR2++tlq1vyAXJ20gebsrZgSyq1+grPGNm6lYpbt+Vf47kai10fV9DzTEFfbywvwmMAAAAAAAAkR0WdcttfJ1vd5CdkNT0sM3y0oIFmydVXzKmsV9x+lRRm8gfpjXYrdfirCg9+qeCVIVgehMcAAAAAAABI3OFuvsKiulm2aYOC8T5fsVAwpVhfMSeVUdy2zdeFBEPHZAYOKezdrdQzH5Omhgu9OiwxwmMAAAAAAAAkjm1YrWjTK2Vr2hQ3dCoYOSkz0Ve49ZRifcUcE8g2rlPcsklmekjBmd3+9U4//S8yg0cKvTosIcJjAAAAAAAAJFLc1qXc+jtk6zsV17bJDB0t6DRsydZXnOW7ptt3uo98gOx7kPc9oqDn6UIvDUuE8BgAAAAAAACJFa+8TtHKa2Wb1kuVDQoGD0qzE4VZTCnXV8xJV/kA2brXeuCggtHTSh3+msLjj3KQXgkiPAYAAAAAAEByGaNo/Z2KWrf4WgUXbgb9+6TcdEGWU9L1FXOCULZ5k2zdSgXDJ2SGjys8+V2Fh75cOiE5PMJjAAAAAAAAJD9A3vxKxQ1rFLd2SUFKQf9+KcoWZDmlXl/hGSPrXu+mdTLjPTIDhxWe2a3U3s9K0WyhV4dFQngMAAAAAACA5AtSym29T7a2PR8gx1E+QC7EJGw51FecO2ndvFlmasi/3sHgEaV2fVLKThZ6aVgEhMcAAAAAAAAoDelKZbe/XramNR8g56YUDB4qSBdvWdRXzKlu9ocXuq7poG+PgpGTSj/98YIeXojFQXgMAAAAAACA0lFRp9y2B2SrmxS3bJamh2VGTxZkKWVRXzGnol5x+3Ypzino3e2rLNLPfFxm7EyhV4YrQHgMAAAAAACAkuImj32FRVWT7+UNRrulqaHlX0gZ1Vd46WrFbdslEyro3SMz0avU7odkho4WemW4TITHAAAAAAAAKDm2YbWidXfI1q30U8jB4GEpN7386yin+gonVZGfQE5VKejbJzPe5w/Rc2EykofwGAAAAAAAACUpXnmtotbNips2SmFawcDBgkz8llV9hROkFLdtlSobFAwcUDB+RqmDX1Zw8jsF6Z/G5SM8BgAAAAAAQGkyRtHGe/IH6Ln+49y0zPCx5Q8wy62+wjGB4ubNsjUdCgaPyoycVOr44wqPfE2ycaFXh4tEeAwAAAAAAIDSlcoou/W1spUNsk3rFUz0y0wu/8Rv2dVXOMbINq5V3Oh6p0/LDB1R2PO0Uvs+J0XZQq8OF4HwGAAAAAAAAKWtulnRxrtlq1sV17bJDB2TZieWfRllV18xFyDXrVTcvNH/PoP+A74+JLXnU1J2+TuocWkIjwEAAAAAAFDy4rYuRSuvkW1cJ6WrzvYf55Z3EeVYX3GWrw5p7ZJmRhX07lUwfFzpXR+XZsYKvTS8AMJjAAAAAAAAlIVo3R2K61cqbt0s2UjB4KFl7z8uy/qKOZUNitu2S9Gsgt49MqPdSj/9sdKevE44wmMAAAAAAACUhyBUrivff+xqFDQ9IjPWvezLKMv6ijmZGsXt2/2HPkAe71Vq1yf8gXooPoTHAAAAAAAAKB8VtcptebVsVZNsfafM6EkfIi+rMq6v8FKV+QnkVIWCPhcg9/kO5KB/f6FXhucgPAYAAAAAAEBZsY1rFK25RbZ+lVTRkK+vyM0s7xrKub7CCdOKW7dKFfU+NA7cBPL+fy2f339CEB4DAAAAAACg7MSdNypu2qC4ZaNkgvwBejYujvqK8V6VhSBU3LJFtrpVZvCwzNhppY5+U+HRby57FzUujPAYAAAAAAAA5ccY5Ta/Ura62QeYyk7KDB8vivoKV+FgxnpUFoyRbVovW9epYPikzPAxhaefUHjgX6UoW+jVlT3CYwAAAAAAAJSndOXZA/TqZRvX+eqE5T607kL1FSaaUWrPw+VziJwLkBs6FTetlxk/46fAw769Sj3zMWlquNCrK2uExwAAAAAAAChbtrZd0YaX+V/jmhaZ4aN+CnnZ6yvqOxdcM3FOqb2fkRk6qnLh3wM3BT49ouDMbgUjJ5V++qMyQ0cKvbSyRXgMAAAAAACAshZ37FTUvt3XJyhVke8/jqPlW0AQKrf1fsUNaxdcNjZSav/nZNx6ykVVk+L2nS5K9gGyq+9I7/mswhPfpge5AAiPAQAAAAAAUPbc9HHsKiTc5GuUVTB0eHnDyjCt3Nb7FDdvWnDZdyAf+FcFvbvL5z1KV+UD5Ip6BQMHfH1HeOJxP4mt7HShV1dWCI8BAAAAAAAAH966/uMGxc0bZSaHfP/usnITyFtepah124LLRlapw/+moPsH5fM+BaHils2y9atlxk4r6NuvYOCQ0k//i8xEX6FXVzYIjwEAAAAAAACnskG5za/MVyfUr5AZOSHNjC7va2MCRZvuUdRx9XmfSh37hoJT3y2f+gZ3kF79KsWtW6XshIIzz8iMdiv19McU9O0t9OrKAuExAAAAAAAAcJZt3qBo9Y2yDWukilo/7apodnlfH2MUrX+polU3nPep1InHFZ54rHwCZMdNg7saiyDt6zuCsR6lDnxJ4eGvLW83dRkiPAYAAAAAAADOEa25RXHjmvn+YR8gL3dY6wLktbcpt+bW8z4Vnn5C4dGvl1eAnKpQ7A41rGlVMHhEZuiIwu4fKLXrIWl2otCrK1mExwAAAAAAAMC5TOC7h211s+/d1eyYP7StEOLOG5Vb/9LzrodnnlF46MuSjVU2TCDbtEFx8waZiQEFfXsUDB9X+ql/lhk9VejVlSTCYwAAAAAAAOC50tXKdb1atrLeV1gEY93S1GBBXqd4xTXKbbxHVmbB9bB/n1IHvlB21Q22ps1PISvK5nuQXY3Frk8qOP398prGXgaExwAAAAAAAMAF2LqVitbf6X+11U2+LkHZ6YK8Vi4s9dPQZmGcFwweVmrfIz5ILSuZmnwPcrraH54XjJ5W6ug3FB744vJ3VJcwwmMAAAAAAADgBaZ+o9Ytips2SmFawcCBgk362pbNynXdJ2vCBdeDkeNK7f20lJtRWQnTilu3+nA/GD4hM3BQYd8epZ7+mDQ1VOjVlQTCYwAAAAAAAOCFDq7bdLdsbWu+/ziakRk+WrB6BNu0Trntr5MN0guuu1qN1J6HCzYZXTDG+FqRqHWzzPSIgjO7FIyeUvrpj8m4SXFcEcJjAAAAAAAA4IWEGWW33idb2eAPbAsmBmQm+gr2mtn6TuV2PCgbViy4Hkz0KbX7IWl2QmWnqllx+w6XJis4s1tmrFvpvZ9VePyx8jpUcJERHgMAAAAAAAAvpqpJ0aZ7ZKtbFNe2ywwfK2hIa2s7lNv5w7LpqgXXg6lBpXd9QpoZVdlJV/kA2YX8Yf9BmZETCk9+R+Gez8hmpwq9ukQiPC5T4+Pjuuuuu7R169YFt8cff7zQSwMAAAAAAChKcesWRSuvlW1cK6UrFbgAuUD1FY4LsrM73iCbqV1w3cyMKr3rofLs/Q1C2eZNihvXyIz1KOjbp2DgkOLv/IPs2JlCry5xCI/L1J/+6Z+qp6en0MsAAAAAAABIlGjd7fnp48Z1MjPjMpMDhV1QVaOyO9/gp23PZWbHld79kMxEv8qO60GuW+kP01N2UsGZZ2RHTin+3odl+vYVenWJQnhchp544gl95CMfKfQyAAAAAAAAkicIldvwUqmiXnF1s69GUBwVdk0Vdcru+GHFVc0LLpvslFK7P+kncMtSZb3i9qukMC3b7QLk00od+KI0M1bolSUG4XGZmZ2d1W//9m/Lnv0nFW1tbYVeEgAAAAAAQKK42oq4eUO+vsJGMqOnCr0kKVPjO5DjmvYFl000o9Seh2VGTqospTKK27fLVNbJjp52754P1XFxCI/LzF//9V/r4MGD/uOXvexluvPOOwu9JAAAAAAAgMTJrb/TH1Zn61bJjJ+RiiGQTFUqt/1BxXWrFlw2cU6pvZ9W0F+mlQ0m8Ifp4dIRHpcRFxq78NiprKzUu9/97kIvCQAAAAAAIJkqGxSvukG2boUUZhQMHy/o4XnzUhnltj2g2E1Fn8PYWKmDX1J44tvFsU4kAuFxmXA1Fb/1W7+lbDbr7//yL/+y1qxZU+hlAQAAAAAAJFbUeYOs69VtWiszPSJND6sohGnluu5T3Lzp/E+d+o7Cg1+U4lxBloZkITwuEx/+8If15JNP+o+7urr0sz/7s4VeEgAAAAAAQLK5kHb9nVJlk2xVQ376uNCH5517sN+WVylacfV5nwoHDii151PFUbWBokZ4XAZ6enr03ve+139sjNF//+//Xel0utDLAgAAAAAASDzbvElx4+p8TUQ0KzPeo6JhAkXrX6bc+pe6Y+IWfCoY61b6mY9JU0MFWx6KH+FxGXBh8cTEhP/4jW98o2688cZCLwkAAAAAAKA0GKPc+pfJpqt9/7EZ7ZZyMyom8YprlNt6n2ywcJjQzIz6ANmMnCjY2lDcCI9L3COPPKJ/+7d/8x83Nzfr13/91wu9JAAAAAAAgNJS3ax45bWy9at8XUQwclzFxjatV27nG2QztQuum2hWqb2fUdC7u2BrQ/FKFXoBWDojIyP6/d///fn773rXu9TQ0LDkL7mrxgCudO+wj5Ak7F0kGfsXSVXMe/di1uO+ptjWjeVRzHsXeDHs3xcWr7lZYf9+2ca1CgYPSTMjUuXS5zCXwta2Knv1jyq19xEFE73z142NlTr8b4qmhxWtvc1PU5cSc05lh/vY//ZK7Pe4VAiPS9gf//Efq7+/339822236cEHH1yW79vY2Lgs3welbTl+0AEsBfYukoz9i6Qqur1bX38RX1Lv/uK8LMtB8Sq6vQtcAvbvhdmdr1K89/Oys0NKjZ+WGtpkTJH9w//KStkbf0J2z+ekvgMLPhWeflJhdlxm+2tlwtI6L8vmG11VUVmhqvoGmXr+O3wximz3YrE89thj+vjHP+4/zmQyvvcYAAAAAAAAS2jlVTKuuqJ5g2x2WhotosPzzuGCYbPzddLal5z/yb4Dsk/+s+zMeCGWhiLD5HEJmpmZ0bvf/e75+7/wC7+g9evXL9v3Hx4eXrbvhdL7J1BzP712tSvW2kIvCbgo7F0kGfsXSVXMezcYHdWLzR6Pjo4q5u/NZamY9y7wYti/F8d03KRU7xEFlU1S/xHFqVopzBTnBuu8WUGqVuGRr/nqinljZxR/95+U23a/bE2rks5VVcy9AzPTM8qOjsjGlSpFjYv8L5sIj5fIPffco1OnTi3V0+ud73yn3vrWt17wc3/5l3+pY8eO+Y83bNjwvF+3VPjLDxZrH7GXkETsXSQZ+xdJVWx792LWUmxrRmGwD5Bk7N8XeG1q2xW1b5eirILJQZnhk7LNG1Ws4vYdshX1Su3/vEw0M3/dzI4r9cwnlNvyKn/YXpJZ8+x/c637P0t+dbGorSgxe/fu1d/+7d/O33d1Fa62AgAAAAAAAMsjWnurbKZGtn61gol+qcgrIGzDamWv+hEfIp/LxFml9j2ioOepgq0NhUV4XEKiKNJ/+2//Tblczt//4R/+Yd16662FXhYAAAAAAEB5SVcrWnOzbG2bbKZawfAxN+qqolbVpOxVP6q4buWCy0ZWqaP/rvDI16Vzqy1QFqitWCLvf//7fffwUlm9evV51z7zmc/omWeeme83+Y3f+I0l+/4AAAAAAAB4fvGKqxWf2SU1rlPYu0dmsl+2pq24X7J0lXLbX6/w0FcUDhxY8KnwzNMyM6O+xqJoO5yx6AiPl8jVV1+t5TY0NDT/sTt44c4773zRx8Txwp8YveUtb/EF+HP+3//7f7r55psXeaUAAAAAAAAlzgSKNtylYPIhxTUtMiMnZKuapKDI47ggpWjzvbJVjUqd/M7CTw0fU2rXJ5Tber9UUVewJWL5UFtRwsX1rsbixW7PPaTDhckv9HkAAAAAAABcZD7T0KmodbNswxpfW2FGTiXjpTNG8eqbldv8SlmzMD4MJgeUfuZjMuNnCrY8LB/CYwAAAAAAAGCJROvu8L3Htn6VzESvlJ1MzGsdt25VbscPyaYqF1w32Umldn9SZvBQwdaG5VHkc/K4FK5ywt0uxbve9S499NBD8/f//u//XrfccgsvPAAAAAAAwGKoqFPUeaNMblZmok/B0DHFbdv8dG8S2LqV/iC99N7Pykw/W5lq4pzS+z+v3Lo7FK+8rqBrxNJh8hgAAAAAAABYQvGq632HcNy4VmZmTGZqMFmvd2WDsle9QXF953mfSh37poKepwqyLCw9wmMAAAAAAABgSRO4lHLrXypVNvoQ2R2epzhK1mueqlRu2+sUtW0//1NH/11B7+6CLAtLi/AYAAAAAAAAWGK2ab2fPHY3RVmZse7kveZBqGjj3cqtufW8T4WHv6pg4EBBloWlQ3gMAAAAAAAALDVjlNvw0vzheXUr8+Fxbjp5r7sxijtvVG7NwjOzjKzCg1+SGTpasKVh8REeAwAAAAAAAMuhqknxymtl61dKYVrB8PHEvu5x502KVt2w4JqxsVL7P5+v5UBJIDwGAAAAAAAAlknU+RLZinrZhjUyU8PS9HBiX/toza2KOq5ecM3YSKl9jySzlgPnITwuc3/0R3+kffv2zd9uuWXhPzkAAAAAAADAIkplFK27Xba6RbayPj99bONkvsTGKFr/UkVt2xZejnNK7f2MzERfwZaGxUF4DAAAAAAAACyjuLVLcf3K/OF5uWmZ8TPJff1dgLzxbkXNmxdejmaV2vMpaXKwYEvDlSM8BgAAAAAAAJY7cN3wMtlMjWxth8zoKSmaTe57YAJFm1+puHHdwsu5aaX3PCxNjxRsabgyhMcAAAAAAADAMrM1bYo7dsrWd/rwNfGHzAWhcl2vUex+P+cw2Umldz8szYwXbGm4fITHAAAAAAAAQAFEa27JTx83rFEwMSDNjCX7fQhSym29T3HtigWXzexYfgI5O1mwpeHyEB4DAAAAAAAAhZCuS+88hQAAN99JREFUUrT2NtmaVh8iB8PHJGuT/V6EGeW2PaC4unXBZTM9nO9Azk0XbGm4dITHAAAAAAAAQIHEHTsU17YrblrnJ3PNRG/y34tUhXLbXy9b2bTgcjA5oNSeTye737nMEB4DAAAAAAAAhTxsbv1LpUytbHWrzIg7PC+b/PcjXaXsjtfLVtQvuBxM9Cq17xEpzhVsabh4hMcAAAAAAABAAdn6VYraumQb17h7CoYOJ7++wsnUKrv9QV/Jca5g9JRS+z8nxVHBloaLQ3gMAAAAAAAAFFi07g7ZTK3ils3S9IjMyHGVhMr6fICcqlpwORg+rtTBL0o2LtjS8OIIjwEAAAAAAIBCy9Qot/W1slWNso3rFIydkRk/o5JQ1ZTvQA4rFlwOBg8pPPSV0piyLlGExwAAAAAAAEARsA2rFW18uWxth+K6Dpnh434KuRTYmlbltj0gG6QWXA/79yk8+nUC5CJFeAwAAAAAAAAUibhjp6LO62Ub1/rKh2DgoJSdUimwdSuU2/qArAkXXA/PPKPw+KMEyEWI8BgAAAAAAAAoItHa2xU3b1TcvFlKZRT075eirEqBbehUrus1smZhLBl2P6ng1PcKti5cGOExAAAAAAAAUEyMUW7LvYrrVyhu6fKHygUDB0rmcDnbtF65zffKyiy4njr5uILuHxRsXTgf4TEAAAAAAABQbMKMclvvl61uVty6RZqdkBk6UjLVDrZls6JN95x3PXXsGwp6dxdkTTgf4TEAAAAAAABQjCpqldt2v2xVo2zzRpnJAZmxbpWKuG2bcutfdt718PC/5as6UHCExwAAAAAAAECRsrXt+YqH6hbZ+k4FIyd9iFwq4hVXK7f2tgXXXJlFePBLTCAXAcJjAAAAAAAAoIjZlk3KrbvNh8dxdYvM4BFpdlylIl51g6LOmxZcM7JKuQnk008WbF0gPAYAAAAAAACSEbC2b5dt3iBlqhX0H5ByMyoV0eqbFa249rzrqePfUnj80ZLpek4aJo8BAAAAAACAYmeMoo0vV9ywOn+AngnyAXIcqWR+f+vuULTqxvM+FZ5+QuGRr0k2LsjSyhnhMQAAAAAAAJAEQajc1tfKVrfmA+RoRsHgodKZynUB8tpblVt7+3mfCnt3KTzwxdIJyxOC8BgAAAAAAABIinSVstsfkK1qUtyySZoelhk5oVISr7peuY13y/qj854VDh5Uat8jUpQt2NrKDeExAAAAAAAAkCRVTcp1vcYHyLZxnYKxHpnxXpWSuH2Hcl2vljUL48tg5LhSez4l5aYLtrZyQngMAAAAAAAAJIxtXOM7kG1th+LadpnhY9L0iEqJbd6k3LYHZIPUguvBeI9Suz8pzU4UbG3lgvAYAAAAAAAASKC4Y6eiVdfLNq2TKuoVDByUslMqJbZhjXLbH5RNVSy4HkwOKL3rEyUXmBcbwmMAAAAAAAAgoaJ1tylu3qi4ZbMUZhT07y+5TmBbt0K5HT8sm65ZcN3MjPoA2UwOFGxtpY7wGAAAAAAAAEgqEyi35V7FdR2KW7skG+UnkG2sUmKrW5Td+QbZivoF1012UqldD8mM9RRsbaWM8BgAAAAAAABIsjCj3Lb7ZaubFLdukWbHZYaOStaqpFTW+wA5rm5ZcNlEM0rteVhm+ETBllaqCI8BAAAAAACApKuoU27r/bJVTbLNGxVM9MuMdavkZGp8hUVct3LBZRPnlNr3GRk3dY1FQ3gMAAAAAAAAlABb16Hc5lf6ioe4oVPByElpclAlJ1Wh3LbXKW5cu+CysbFSB/5VQe/ugi2t1BAeAwAAAAAAACXCtmxWbu2tsvWdvt4hGDoszU6o5IRp5bruU9SyZcFlI6vU4X9TcPqJgi2tlBAeAwAAAAAAACUk7rxRUdtW2eYNUrpaQf9+KTejkhOEija/UlH7zvM+lTr+qMLjj5Ze7/MyIzwGAAAAAAAASokxijbd7asr/AF6xijoPyBFWZUcEyjacJeizhvP+1R4+gmFR74q2bggSysFhMcAAAAAAABAqQlSym29L99/3LpVimcV9O2TolmVZFi+5lbl1t1x3qfC3t0KD/yrbEyAfDkIjwEAAAAAAIBSlK5SdvvrZGtaFbdtl+Ksgr69Um62NOs6Vl6n3MZ7ZGUWXA8HDklHH5XiqGBrSyrCYwAAAAAAAKBUVTUpu/OHZGvbFLdv9xUOQd+e0uxAdgFy+3blul4ja54Te473SieflLLThVpaIhEeAwAAAAAAACUfIL9BtrY9P4HsQkEfIJdmkGqbNyq37QHZILXwE9MjSu35NBPIl4DwGAAAAAAAACh1lfX5ALmuIz+BbAIFvXuk7JRKkW1Yo9yOH5JNVSy4Hkz0Kjz5nYKtK2kIjwEAAAAAAIByUFGr7M4fVly3QnHbNn+onp9Anp1UKbK1HcrueINspmbh9cqGgq0paQiPAQAAAAAAgHKRqVHOBcgNnYrbt0lhJn+I3uyESlJ1s7JXvUFq6JQy1cqtuyM/eY2LQngMAAAAAAAAlJN0lXLbH1TcsDo/gZyuyAfIM2MqSRX1MutultbfpnjVdYVeTaIQHgMAAAAAAADlJl2ZD5Ab1yhudQFytYL+fdLMaKFXhiJCeAwAAAAAAACUo1RGue2vU9y8TnFbl5SpVdC/X5oeKfTKUCQIjwEAAAAAAIByFWaU23q/4uaNilu7fMVD0H9Amhou9MpQBAiPAQAAAAAAgHIWppXb+lrFLZsUt2yWqhoUDLgAebDQK0OBER4DAAAAAAAA5S5IKdf1GkVtW32AbKuaFQwckpkcKPTKUECpQn5zAAAAAAAAAEUiCBVtudf/Grr7g0Zm8JBkY9matkKvDgVAeAwAAAAAAAAgzwSKNr3i2QDZBAoGjyh2AXJtB69SmSE8BgAAAAAAAPAsYxRteLlkUgplFLsAeeiYYmtl61bwSpURwmMAAAAAAAAA5wfI6++UQhcgS7ExCoaP5yeQ61fxapUJwmMAAAAAAAAAFw6Q19wqa0IfIvoJ5JGTZwPkTv95lDbCYwAAAAAAAAAXZoziNTcrF6SUOvatfIA8fCIfIDesIUAucYTHAAAAAAAAAF5Q3HmDckGo1JF/9wGyGT4muQC5cR0BcgkjPAYAAAAAAADwouKV1/oJ5PDwVxUYIzN0VJKVbVxPgFyiCI8BAAAAAAAAXJS4Y6cUpKSDX1IgFyAfkcIKDtErUYTHAAAAAAAAAC5a3LbVlSHLHPhXKZrNH6KXqpCtbuFVLDGExwAAAAAAAAAuSdzWpdzsmFLHHlWcm5EZPCwbZqSKOl7JEkJ4DAAAAAAAAOCSxatuUDQ9qtDGMm4Cuf+A4vYdUrqSV7NEBIVeAAAAAAAAAIAEMkbRhpcpblqnuGWzFKYU9O+TomyhV4ZFQngMAAAAAAAA4DLTxVC5rtcorm1X3Nol2UjBwAHJxryiJYDwGAAAAAAAAMDlS1Uot/11stXN+QA5OykzeESyllc14QiPAQAAAAAAAFyZijrltj0gW9WouHmjzNSAzOgpXtWEIzwGAAAAAAAAcMVsbbtyW14lW90i27BGwehpmYk+XtkEIzwGAAAAAAAAsChs80ZF6+6QrVupuLZNZuioND3Kq5tQqUIvAAAAAAAAAEDpiFdeq2h6RKGsTG7WH6AXt++Q0lWFXhouEZPHAAAAAAAAABaPMYo2vFRx0wbFLZulVEZB/34pmuVVThjCYwAAAAAAAACLywTKdb1Kcf0Kxa1dko0V9B+Q4ohXOkEIjwEAAAAAAAAsvjCj3LYH/AF6PkDOTSkYOixZy6udEITHAAAAAAAAAJZGpka5bffLVjUqbt4kTQ3JjJzk1U4IwmMAAAAAAAAAS8bWtCnX9RrZ6mbZhrUKxrplxnt5xROA8BgAAAAAAADAkrJN6xRtuEu2boXiug6Z4WPS9DCvepFLFXoBAAAAAAAAAEpfvOIqRdMjCmVlcjMKBg4pbtsuZaoLvTQ8DyaPAQAAAAAAACyLaN3tils2+ZtSFQoG9kvRLK9+kSI8BgAAAAAAALA8jFFu872K61Yqbu3yl4L+/VIc8Q4UIcJjAAAAAAAAAMsnTCu37X7ZmpZ8gOwqLAYPSdbyLhQZwmMAAAAAAAAAyytTo+y218lWNeUrLKaHZYaP8y4UGcJjAAAAAAAAAMuvulm5rtf4ANk2rlcwfkZmrId3oogQHgMAAAAAAAAoCNu4RtGmu2Vr2xXXrZAZOS5NDfFuFIlUoRcAAAAAAAAAoHzF7TsUTY8qlJWJ8v3Hcdt2X22BwmLyGAAAAAAAAEBBRWtuUdS6VXHzRildpaB/v5Sb5l0pMMJjAAAAAAAAAIVljKLN9yhuWK24tUsKQgV9+6QoyztTQITHAAAAAAAAAAovSCm39b58/3HrVsnGCvr3SXFU6JWVLcJjAAAAAAAAAMUhXaXs9tfL1rQobtsq5WYUDBzwQTKWH+ExAAAAAAAAgOJRUZcPkKuaFLdukWbGZAYPS9YWemVlh/AYAAAAAAAAQHGpblZu++tkq5sVt2yWmRqUGT5GgLzMCI8BAAAAAAAAFB1bt0K5rtf4ANk2rVcw3iszerrQyyorhMcAAAAAAAAAipILjaPNr5StaVfcsFrB6CmZ8d5CL6tspAq9AAAAAAAAAAB4Pu7gvFx2Uqmj31QcZ2WGj8oGKV9tgaVFeAwAAAAAAACgqMWrrleUnVIoK8U5BYOHFLsAubK+0EsraYTHAAAAAAAAAIpetPY2yQXI1spEOQUD+xW3bZcyNYVeWsmi8xgAAAAAAABA8TNG0aa7FbdsUty6WUpVKejfJ+WmC72ykkV4DAAAAAAAACAZTKDcllf5w/Piti4pSCno2ydFs4VeWUkiPAYAAAAAAACQHGFaua33K67t8IfpSVZB/37fhYzFRXgMAAAAAAAAIFnSlcrteFC2plVx61YpN6Og/4AUR4VeWUkhPAYAAAAAAACQPJkaZbe/Xra6KV9hkZ1QMHhYsrbQKysZhMcAAAAAAAAAkqmqSTkXIFc1K27ZLE0PyQwdJUBeJITHAAAAAAAAABLL1rYrt/U+2epm2eaNMpN9MqOnCr2skkB4DAAAAAAAACDRbOMaRZvvVVzTJtuwRsHoaZmxnkIvK/FShV4AAAAAAAAAAFypuHWLlJ2SOfJ1xXFWwfBxxWFatqaFF/cyER4DAAAAAAAAKAnxymsUZacUuo+jnMzgYdmQCPRy8coBAAAAAAAAKBnRmpul3KRCWZk4p6D/gFTTUOhlJRLhcZmJoki7d+/WgQMH1N/f7+/X1NRo1apV2rJli9atW1foJQIAAAAAAACXzxhFG+6SyU5LNlbQt192ekzKVPOqXiLC4zIxODioD37wg/rEJz6h4eHh5/26pqYm3Xnnnfqt3/otNTY2LusaAQAAAAAAgEVhAuW23KtUzgXIVho6yAt7GYLLeRCS5ZFHHtGrXvUq/c3f/M0LBsfO0NCQPv3pT2tgYGDZ1gcAAAAAAAAsuiCl3Nb7ZetXyqzYIZOq5EW+REwel7gPfehD+pM/+ZMF16qrq3Xbbbeps7NTdXV1Gh0d1aFDh/TUU09pfHy8YGsFAAAAAAAAFlUqo9z218kc+pysCaRsTpYQ+aIRHpewz3zmMwuCYxcav/3tb9dP/uRPqqKi4ryvn52d1Te/+U394z/+o4wxy7xaAAAAAAAAYAlkahRc90bZo48qspVSZT0v80UiPC5Rrnbid3/3d+fv19bW6u/+7u901VVXPe9jMpmM7r77bn8DAAAAAAAASoWpapDZ/hrFrtLVdSDjotB5XKL+8A//UCMjI/P3/+iP/ugFg2MAAAAAAAAAOBfhcQk6ffq0PvvZz87fv/3223XvvfcWdE0AAAAAAAAAkoXwuAR9/OMfVxzH8/d/6qd+qqDrAQAAAAAAAJA8hMclelDenLq6Or3sZS8r6HoAAAAAAAAAJA/hcYlxPcdHjx6dv3/ttdf6g/AAAAAAAAAA4FKkLumrUfSeeeaZBffnDsmz1urrX/+6PvWpT2n37t3q6enxoXJLS4sPmF/+8pf7XuQg4OcJAAAAAAAAAAiPS87BgwcX3F+zZo1OnTqld73rXfr2t7+94HOTk5MaHh7WoUOH9IlPfEKbNm3S7/7u7+qmm25a5lUDAAAAAAAAKDZMHpdgbcW5crmcfuInfkK9vb0v+lgXIr/lLW/RH//xH+v++++/7DUYYy77sShv5+4d9hGShL2LJGP/IqmKee9ezHrc1xTburE8innvAi+G/YukYu9ePmNdnwFKxnve8x79wz/8w4ID88bGxvzHGzdu1C/+4i/q1ltvVVNTk586fvzxx/W///f/XjCx7OosPvKRj2jnzp0F+T0AAAAAibZrl+uPe+GvcXVz/H0bAAAUOQpuS4yrojjXXHB811136eGHH9aDDz6ojo4OHxC3t7frda97nR566CHdfffd84+ZnZ3Vb//2by/72gEAAAAAAAAUD2orlsg999zju4aXyjvf+U699a1vPe96RUXFeddcWPze977XB8YX4q7/6Z/+qR544AF1d3f7a7t27dKjjz6q22677ZLX5iaagcv9ZyQNDQ3zFSz8wwgkBXsXScb+RVIV894NRkdV/yJfMzo6qpi/N5elYt67wIth/yKpymnvNjY2LurzER6XmOrq6vOuvfnNb/b1FS+ktrbW9x3/4R/+4fy1r3zlK5cVHpfy/wNi+bh9xF5CErF3kWTsXyRVse3di1lLsa0ZhcE+QJKxf5FU7N1LQ21FiampqbngFPTFeO7Xfe9731u0dQEAAAAAAABIFiaPl8j73/9+zczMLNXTa/Xq1Re8vmLFigX3U6mUPyjvYqxdu1aVlZWanp7293t7exdhpQAAAAAAAACSiPB4iVx99dUqhM2bN59XR+F6XS5WfX39fHhMdzEAAAAAAABQvqitKDGbNm1aEBbPzs5e0uPP/foLHb4HAAAAAAAAoDwweVyCncc7duzQrl27/P3JyUmNjY296IF5ztTUlD/1eU5zc/NlraGpqemyHgcs5emgwHJh7yLJ2L9IqqLbu7ff7k7jecEvyZ/3jnJXdHsXuATsXyQVe/fSMHlcgu69994F95944omLetz3v/99xXE8f3/79u2LvjYAAAAAAAAAyUB4XIJe+9rXKgiefWs//vGPX9TjPvrRjy64f8cddyz62gAAAAAAAAAkA+FxCVq/fr1e97rXzd//whe+oK997Wsv+JhvfOMbeuSRRxaM8D/wwANLuk4AAAAAAAAAxYvwuES9/e1vV3V19fz9d7zjHfr0pz99wa91ofGv/uqvyp7Ty/Yrv/Irvj8ZAAAAAAAAQHky9tzEECXlK1/5in75l395QY/xxo0bdcstt/jD8IaHh/XYY4/p0KFDCx5333336c/+7M8KsGIAAAAAAAAAxYLwuMS5aePf+Z3f0cTExEV9/Zve9Cb91m/9llKp1JKvDQAAAAAAAEDxIjwuAydOnNCf//mf60tf+pKmp6fP+7wxRjfeeKOfUr799tsLskYAAAAAAAAAxYXwuIyMj4/re9/7nnp6ejQ0NKTa2lq1t7frpptu8jUWAAAAAAAAADCH8BgAAAAAAAAAcJ7g/EsAAAAAAAAAgHLHqWgACuLUqVPzndurVq3iXUBisHeRZOxfJBV7F0nG/kVSsXeRZOzfxUNtBYCC2L59u6y1/uMHHnhAf/zHf6wwDBflueM41hve8Ib5/1g0NTXpC1/4gg+qgSvF3kWSsX+RVOxdJBn7F0nF3kWSsX8XD7UVAArKBbqf+cxn9La3vU0zMzOL8pxBEOgtb3mLPyTS3Y4fP67vfve7i/LcwBz2LpKM/YukYu8iydi/SCr2LpKM/XvlCI8BFMUf5l/72tf0H//jf/Rh72J48MEH1dnZOT/d/MUvfnFRnhc4F3sXScb+RVKxd5Fk7F8kFXsXScb+vTKExwAKzgW87g9zNx38Mz/zMxoaGrri53TP92M/9mPzVRWPPvroIqwUWIi9iyRj/yKp2LtIMvYvkoq9iyRj/14ZwmMABecmhB0X9O7evVs/+ZM/qTNnzizK9PGcAwcOaGRk5IqfEzgXexdJxv5FUrF3kWTsXyQVexdJxv69MoTHAArK9RN/+MMf1oYNG+Z/Gnj06FG96U1v8l3FV6Kjo0Pr1q2bnz7ev3//Iq0aYO8i2fizF0nF3kWSsX+RVOxdJBn798oRHgMoOBfy/uM//qO2bds2f627u1s/9VM/dcWB77XXXjv/sQulgcXE3kWSsX+RVOxdJBn7F0nF3kWSsX+vDOExgKLQ3Nysf/iHf5gPe90Ucn9/v9785jfrqaeeuuznbW1tnf+Y2gosBfYukoz9i6Ri7yLJ2L9IKvYukoz9e/kIjwEUjbq6Ov3N3/yNbr75Zl814QLk0dFRveUtb7nsA+8qKirmP47jeBFXCzyLvYskY/8iqdi7SDL2L5KKvYskY/9eHsJjAEWlurpaH/zgB3XXXXfNB8hTU1P6hV/4BX3+85+/5Odz9RdzGhsbF3m1wLPYu0gy9i+Sir2LJGP/IqnYu0gy9u+lIzwGUHQymYw+8IEP6LWvfe18gJzNZvVrv/Zr+ru/+7uLfh73uMcee2z+/qpVq5ZoxUAeexdJxv5FUrF3kWTsXyQVexdJxv69NITHAIpSGIZ63/vepze+8Y3zAbK7/eEf/qHe9a53aXp6+kWf41/+5V/U09PjP3bPcd111y3DylHu2LtIMvYvkoq9iyRj/yKp2LtIMvbvxSM8BlDUfvd3f1c/93M/Nx8gu18/+clP6sEHH9S3v/3t533c17/+dR80z4XOt912m2pra5d17Shv7F0kGfsXScXeRZKxf5FU7F0kGfv3xaUu4msAoKDe+c53+r7iP/3TP50PkI8fP66f+Zmf8Yfrvf71r9fWrVtVU1Pjr3/2s5/1t7mvdb+6Q/cA9i7An70offy9AUnG/kVSsXeRZOzfF2asS1UAYJlt377dh7run4rs2rXroh7z8MMP693vfrdmZmb8/blg+ELO/dz999+v9773vYu4epQz9i6SjP2LpGLvIsnYv0gq9i6SjP27eKitAJAYrqriIx/5iDZv3rwgHHYfn3tz5qaOX/KSl/h/hgIUEnsXScb+RVKxd5Fk7F8kFXsXScb+vTDCYwCJ++nhJz7xCb3jHe9QfX39fFh8LnctnU7rZ3/2Z/WhD33I11kAhcbeRZKxf5FU7F0kGfsXScXeRZKxf89HbQWAgnjlK1/pp4NTqZS+8IUvXNZzTE1N6Rvf+IYee+wx9fT0KJfLqaWlRddcc43uuecetbe3L/q6AfYukoz9i6Ri7yLJ2L9IKvYukoz9u3gIjwEAAAAAAAAA56G2AgAAAAAAAABwHsJjAAAAAAAAAMB5CI8BAAAAAAAAAOchPAYAAAAAAAAAnCd1/iUAKKwoinTgwAEdOnTI386cOaPJyUl/m5mZUUVFhaqrq/2to6NDGzdu1KZNm9TV1aUwDHn7wN4F+LMXZYS/NyDJ2L9IKvYukoz9e2kIjwEUjS996Uv6/Oc/r69//esaHR295MfX19frpS99qV772tfqla985ZKsEbgQ9i6SjP2LpGLvIsnYv0gq9i6SjP17eYy11l7mYwFgUXz1q1/V+973Pu3fv9/fN8bMf+5i/oi60Ndv2bJFv/Zrv6a7776bdwlLhr2LJGP/IqnYu0gy9i+Sir2LJGP/XhnCYwAF44JeFxp/8IMfzP+BZMx8+HtuIHwpz3fuY939n/u5n9Ov//qvL+q6AfYukoz9i6Ri7yLJ2L9IKvYukoz9uzgIjwEUzB/8wR/o7//+7+dD47nQd+XKlbruuuu0fft2dXZ2+l7jmpoa33WcTqeVzWZ997HrQO7p6dHp06e1Z88ePfnkk+ru7vbPMfd87tc3v/nN+m//7b/xToO9C/BnLxKMvzcgydi/SCr2LpKM/bs4CI8BFMS///u/661vfev8tHAQBHrwwQf1pje9Sddcc81lP+/TTz+tD3/4w3r44YcVx/F8gPzXf/3Xuuuuuxbxd4Byxd5FkrF/kVTsXSQZ+xdJxd5FkrF/Fw/hMYCC+Imf+An94Ac/8B/X1dXpf/2v/6Wbbrpp0Z7/e9/7nt72trdpZGTEB8jXXnutPvKRjyza86N8sXeRZOxfJBV7F0nG/kVSsXeRZOzfxRMs4nMBwEU5ceKED47dRLC7vf/971/U4Ni58cYb9Rd/8Rfzk8ff//73/fcFrgR7F0nG/kVSsXeRZOxfJBV7F0nG/l1chMcAlt2uXbvmP77hhht02223Lcn3ueWWW/zzz3Up7969e0m+D8oHexdJxv5FUrF3kWTsXyQVexdJxv5dXITHAJbdmTNn5j++kn7ji3H11VfPf+wO1wOuBHsXScb+RVKxd5Fk7F8kFXsXScb+XVyExwCWnTvIbv4PoWBp/xgKw/CC3xe4HOxdJBn7F0nF3kWSsX+RVOxdJBn7d3ERHgNYdh0dHfMf79u3b0m/1969ey/4fYHLwd5FkrF/kVTsXSQZ+xdJxd5FkrF/FxfhMYBlt2XLlvmPv/Wtby1ZF7ELjh999FF/YN5zvy9wOdi7SDL2L5KKvYskY/8iqdi7SDL27+IiPAZQkD/Iu7q65u+/7W1v05EjRxb1exw9elS/9Eu/NB8cb926lfAYV4y9iyRj/yKp2LtIMvYvkoq9iyRj/y4uwmMABfHzP//zMsb4cNeV2f/QD/2Q3v/+9y8otr8c7vF/8Rd/oQcffFDd3d3z13/u535uEVYNsHeRbPzZi6Ri7yLJ2L9IKvYukoz9u3iMnRvLA4Bl9s53vlOPPPKID5DngmR3wN21116r66+/Xjt37tSKFSu0cuVK1dTUqKKiQplMRrOzs5qZmdHExIR6enp8SOyqL5588kl9//vfVxRF88/n3H///Xrve9/L+wv2LsCfvUgw/t6AJGP/IqnYu0gy9u/iIDwGUDAuBH73u9+thx9+eD7oPTf0vRznPt59/PrXv17vec97lE6nF23dAHsXScb+RVKxd5Fk7F8kFXsXScb+XRyExwAK7qMf/aj+8i//Un19ff7+ueHvxXruY9ra2vQrv/Ir+rEf+7ElWTPgsHeRZOxfJBV7F0nG/kVSsXeRZOzfK0N4DKBofiLo/kD//Oc/7+snXPXEc507kXyhYNlVXri6i9e85jV64xvf6CsugKXG3kWSsX+RVOxdJBn7F0nF3kWSsX8vH+ExgKIzPDysJ554QocPH9ahQ4f8IXiTk5O+49h1HbvuY9eBXF1drY6ODm3cuFGbNm3SDTfcoMbGxkIvH2WMvYskY/8iqdi7SDL2L5KKvYskY/9eGsJjAAAAAAAAAMB5gvMvAQAAAAAAAADKHeExAAAAAAAAAOA8hMcAAAAAAAAAgPMQHgMAAAAAAAAAzpM6/xIAAAAAAADK2X/9r/91/uOf/umf1s6dOxftueM41oc//GFFUeTvNzY26sEHH1y05wfYv4vHWGvtIj4fABSFvXv3zn/c1NSkjo6Ogq4HuFjsXSQZ+xdJxd5FkrF/sVS2b9+uuciopqZGH/jAB3Trrbcu2vP/l//yX/TpT3/afxyGob7+9a+rpaVl0Z4f5Y39u3gIjwEU9KeAQRDo93//9xf9+V/+8perp6fHf3zHHXfoQx/60KJ/D5Qn9i6SjP2LpGLvIsnYv0h6+GaM8fczmYze97736RWveMWiPP+pU6f06le/2k8fu+/zO7/zO3rTm960KM8NsH8XD53HAArik5/8pB566CH/61K4+uqr/V9y3O2ZZ55Zku+B8sTeRZKxf5FU7F0kGfsXpcCFu7Ozs3rHO96hhx9+eFGes7OzU/fcc8/8fTd5DCwF9u+VITwGUJJceDxnZGREx48fL+h6gIvF3kWSsX+RVOxdJBn7F8vBDeW4AM5NCb/rXe/SP/3TPy3K8/74j//4/Mff+c53fBcysNjYv1eG8BhASf8leq6j6+mnny7wioCLw95FkrF/kVTsXSQZ+xdLzVUNvv3tb58P4Jzf+73f01/91V9d8XO7DuWqqir/8fj4uI4cOXLFzwmci/175QiPAZSkq666asH9p556qmBrAS4FexdJxv5FUrF3kWTsXyyHX/qlX9Jv/uZvzgfI7tf3v//9+pM/+ZMrel53UN71118/36t88ODBRVox8Cz275UhPAZQkurq6rR27dr5+4THSAr2LpKM/YukYu8iydi/WC5vfvOb9Z73vMcHvnMB8t/8zd/o3e9+9/xE8uVYt27d/Me9vb2LtFpgIfbv5UtdwWMB4Iq5v2R84hOfmP9J82KqqamZf949e/Ys+vOjvLF3kWTsXyQVexdJxv5FKfiRH/kRXzPxG7/xG8rlcv5/b/3Lv/yLxsbG9D/+x/9QKnXpMVNTU9P8xxMTE4u8YuBZ7N/LQ3gMoOB/iXb//GmpzIXH09PTS/Y9UJ7Yu0gy9i+Sir2LJGP/olTcd999qq6u1jve8Q7NzMz4/831uc99zgfI//N//k9VVlZe0vNNTk7Of+yeF1hK7N9LR20FgJJ2Jf98Cigk9i6SjP2LpGLvIsnYv///9u4EWub6/+P4h5CyXUtkS2QnKgrVsXZIKOlYkjiHQqkkVETJEpWStNiSIp1QiaylRUpZKspSdOxbizVJtv95ff7n+/197507987c+c7MnXufj3Pm3Jl7v/O9Y+bjez+f9+f9eX8MYqhx48Zm8uTJNtjrlLBYuXKl6datmzly5EhY59qyZYt7PykpKQqvFkiO9hsegscA4k4djWjeANouwLUXWQf9BiQy2i+yknr16pnp06ebQoUKuQHk9evXmw4dOpitW7eGdI49e/aYNWvWuJMf1atXj/KrBv4f7Td0lK0AEFfqYDzzzDN8Ckg4tF0kMtovEhVtF4mM9ousqFatWmbmzJmmR48edrM7tfPdu3fbALLKE7Zv3z7oc0+fPm2POXv2rH2eah9XrFgxpq8f2RvtNzQ5zrO2BUAcVKtWzc4ua6fejRs38hkgYdB2kchov0hUtF0kMtovskPbVQZx9+7dza5du+xjBYP13Ouuu8488MAD9qvXjh07zNChQ23WsXNs7969zcMPPxzVfxOyD9qvf8g8BgAAAAAAQIaVKVPGzJo1y/Ts2dNs3rzZLWOxevVq07VrV1OqVClTqVIlky9fPrNz506zadMm9xh9LVq0qD0OiAfab9oIHgMAAAAAACAixYoVMzNmzDBDhgwxS5YscesYK0C8f/9+s2/fPvexQ8fkypXLljIsUqQInwDihvYbHBvmAQAAAAAAIGLKLB43bpwZPXq0rWHsZBZ7K6Y6j/UzHT9hwgTTqFEj3n3EHe03dQSPAQAAAAAAEMCbJRyOtm3bmmXLlpm+ffuaypUr2/N4b8ry7Ny5s1m6dKlp0qQJ7zyigvbrD8pWAIgLbZjgbL4AJBLaLhIZ7ReJiraLREb7RaJS9nAkAbgCBQrYTfB0O3z4sDl48KA5ffq0DRyXLFnS51cLJEf79U+O8961AwAAAAAAAAAAULYCAAAAAAAAAJAaah4DAAAAAAAAAAIQPAYAAAAAAAAABCB4DAAAAAAAAAAIkCvwWwCQeZw5c8b8+eef5sSJE+aff/4xp06dMhdeeKG5+OKLTb58+exOvblycSkDgEi1bdvWvV+4cGEzYMAAU6NGDd5YAIiio0eP2v5tUlKSyZMnD+81EhJjNiBry3H+/Pnz8X4RAODYuXOnWb58uVm3bp357bffzJ49e2xnJBgFjkuXLm2uuOIKU7duXdOsWTNTrlw53lBETdOmTe3XHDlymJ49e5qOHTv6du5z586ZQYMGmb///ts+LlKkiBkxYoRv5wfSUq1aNaNuodq2vl5wwQWma9eupm/fviZv3ry8eci0tm7dalavXm22bdtmbwcPHkw26awJ54IFC5pChQrZ/kLNmjXNVVddZW9ArOlv/KxZs8xnn31mfv75Z7efq2tu1apVze233277Frlz5071+YcPHzbffvut7SPnzJnTlChRwtSvX98mVACxwpgNiYBxm38IHgPIFJYuXWpef/11s2XLFvd7CmCEyjsPVqVKFdO7d2/TsmVL318nkDLA1q9fP9OrVy/f3pgJEyaY1157zW3TCxcutMEOIJZtW5w2WLZsWfP000+b66+/ng8BmSpbc/r06WbRokU2iOGVVv/B218oU6aMadeunenUqZOdrAOibcWKFebRRx81R44cCdpW1UYrV65sJk6caEqVKuV+X5MhL7zwgpk9e7Y5ffp0sufoPM2bNzeDBw+2wWQgWhizIZEwbvMPwWMAcbV//37z0EMPmZ9++ikgYBHuINB7rL6vzKKXX345WccbiEaArXv37nYw6AdlyzVp0sQcO3bMPtb/j/vvv9+XcwOhtG1lst12221m3rx5ySZK9D0FJpS9CcTTtGnT7ITz8ePHk/URnD5BsICcl/carjbdv39/06FDh6i/dmRfyjTW33RlGjvXVYf3sdM2tbJO1+H8+fObkydPmm7dupkNGzYE9Je9jy+55BLz1ltvmQoVKsThX4isjDEbEhHjNv8QPAYQN5s2bTL33nuv+euvv9xOs3fAp2XSl156qb2pvrFqHWsJn7IttAxVGRjqyBw4cMD8+++/7vO85ylatKiZNGkSdTsRtRls52v79u3N8OHDw8qYD2bkyJHmnXfeseetU6eOvQ/Eqm1r6fTGjRvNmjVrzFNPPWW2b9/uBimUnanSKm3atOEDQcz9999/5rHHHjOLFy9ONdjm5Q3MXXTRRbYfcejQoWTf9z5f92+88UYzfvx4eyzgJ+3f0bp1a5tx7O0/qKSKyq2pz6tjdu/enaxtakJDfYsnn3zSzJkzJ2ib9/Z9y5cvb4PO1E+GXxizIVExbvMPwWMAcav3ps2ZVK/NXoxy5LDZbjfccINp0aKFufrqq8PKmlBw44cffrBLqVauXGlrxzpKlixp5s+fbzM3AD87IRqYaSLDGQiqVMrzzz8f8SaOKt+imoc6p86lGuCaPAFiGTwWTdZNmTLFTsIpcCc6pmHDhraUha6vQKwMHDjQLFiwIFnwTZmWql1cvHhxe03Wqg3VQFYbPnv2rHsdHTZsmC1RsXfvXrvaae3atbbP4ASUnXPqXCqHQZ1v+EnlJqZOneq2NQWMtWKpcePGtv/rUEKEjnMmjXU91v277rrLzVhW/1glKrSyThnJ69evN8uWLbPXa6cda8PTe+65hw8REWPMhkTGuM0/BI8BxMWoUaPMzJkz3U60amlqYKfampFS1obO9c0339jH+h1dunQxQ4YM8eGVI7vzBtg0wOvTp4/NgncGbAqqqW5xpMFeZcApC0nmzp1ry7AAsQ4eO3bt2mWvq6tWrXIz35Qxp830tKmeHxn3QFoUHFN7c/oNl112mS2j0qhRo1SP/+OPP8zkyZNt4M2ZUFZWsSaoHfq+spjHjh1rg3ai82vybvTo0Xwg8I2SI7TSTlTPWBvmpZXUoCxjZRurPVasWNFuIq372qj3kUceCTheP1ewWCvy9P9DJS8+/fRTPkFEjDEbEhnjNv/8b5oTAGJEmRHKBHYCELfccot54403fAkci86j82l5oKgTrUwlJ2sO8EuDBg1s7c2CBQu6AQ1thtOjRw+bqRGJa665xg3IaVAIxJMCdWrryqxXOSC1TU2aKMDWsWNH88svv/ABIao0WeeoUaOG+eCDD4IGjkUZyU888YQZM2aMba+6aQJEG+05lPHZqlUruzGpruei4z788EObmQz4QX/DleHueO6559JdDadSWGrfao/btm2zfQwFoFMLHIs21n3xxRfdiWyt7Eu5kSQQLsZsyEoYt0WG4DGAmNOAzNkMTJvUjBgxIiq/RzXinKCeBota+g/4TUuctTlN4cKF3QCy2riyMQ8fPpzh86rWtyOS8wB+0qScMjUV2HCWWmsDpzvuuMOMGzeOSTpEhVYUqdSEU4JCJQBCrUt86623ujW6dS3VZHJKyqJXaZYqVaq4E9sq1wL4QaWoHLVq1TJVq1YN6XmdOnVK9lj9irSo5JsmVpyJ55QrSIBwMWZDVsO4LeMIHgOIuX379rn3mzZtagdt0aANcnR+pxPt/b2A30uiVIalRIkSbgBZm4uoRqGzFDpcmvhweDeEBOJNbVOTcyoHoOXXau+qxangmwJ12mgP8JOup4569erZerHh0KZj3vIXqdGGvCoT4PQZtH9CpCtIgJQTwAoehyrlsQp6pMd7jFMmA8goxmzIihi3ZQzBYwAx5+3MKtgWTd7sTTrRiCYtGVUwTWVTnACyNnLs3Lmz/RrJYLNAgQI+v1ogcspy0/L+/v3728k6tfkdO3bY7DgF4Qi8wS+///67ez/UrE0v73OUxZxWuSCVaFFb1mZ7P/74YwZeLZDciRMn3PtJSUkhvz1anZfW49R4z+/9vUBGMGZDVsW4LXwEjwHEnLdj62wIFi3aMMehsgJANJUpU8ZugqPNbZylz9q8RgFk7YYeju+//z5Z7U4gM9Lmetqk6eOPP7abRTpZm7Nnz7b17D/55JN4v0RkAd7VF8oQDleePHnc+0eOHEnz2Dp16rj3qRkLP3g30A0noKu68mk9To33/JrUAyLBmA1ZGeO28BA8BhBz3mzgL7/8Mmo1MrXJg86f2u8FokWB3hkzZpiaNWvaxwoiK1ihbExt8BSK1atX2xqJTgC6du3afGDI1EqXLm3LVqjusf4PKIisybsHH3ww3i8NWYB38jetzOFgvM/xlgRKjXey7vjx42H/LiAlb8bwr7/+GvIblHIjUm/t5FCeE06WM5AaxmzI6hi3hS5XGMcCgC+uvfZakzdvXnPy5EkbXNDGN4MGDfL93dWu005ms7Iv6tat6/vvAIIFOrSJ3n333WfrvyoIrEmSwYMHm1WrVpkhQ4YEXX6qTOXHH3/cDRwrizna5V2Qveq8OW0rGC3Xz0hpAC8nAxnww+WXX+7e/+qrr2xJlPz584f8/EWLFrn3S5YsGVZmPeDH8mjv5PDBgwdD+rvubbfy/vvv29IqwezZs8ee37nG63oPRIIxG7IDxm2hIfMYQMwpkHvzzTfb4IJuCrIpeHzs2DFfzq/zKEj35ptv2sfqROv3sXwPsZQvXz4zdepUd9NGpw7yggULTIsWLcwrr7ySLBtOwZA5c+aY9u3b2w1KnOBbly5d+ODgO+f6672l9bNwb4Df9bWdzXX1N37UqFEhP1eZntOmTXMDatpwL9Qan2Ruwg/Vq1d3S1doVdywYcPSfc6GDRvM3LlzbbstVqyYva5q9VKwDR/Vhxg4cKCd/NOxRYsWtZPPQCQYsyG7YNyWvhzn00s/AYAo0OCsTZs25tChQ25gTZuCtWzZ0t60w7Qu4qFSHTjVlF2yZIlZuHCh7UQ75y1SpIiZP3++7XwDfmVuKiNt48aN6R5/7tw5u3mYMoacALI4f37VMVdb1/8FHev9uQacqh2bKxcLhRC7zGO/ONfgUJZaA+kZOXKk3ZRU1K5at25thg4dmuYmYsuXL7crPbQBqXNt/eijj0zlypWDPqddu3Zm8+bN9ndocju9YDMQCiVJzJs3z22/TZo0sUHk1DKQFy9e7G46qmO1kk7PP3XqlMmZM6dp27atadWqlS0XpFV82iNh+vTpdkLaue726tXL9OvXjw8HEWPMhkTGuM0/BI8BxI2W7/fp08fdAMTp8Io6x+XKlbPLS1VvS8E1ZW1o0xst/1cHWpuCaOmfsjR37dplsy1SnkeZSq+++qpp0KABnzR8EW4nxPHuu++aZ5991t34KVh2phNg1mTH22+/bcqXL88nB9/cdNNNQYPHupY6P1NQwi8K4AGRUpkrbcKoOsTO33lNvjVv3txmJquvoD7C0aNHbbbx559/bicuvBNyCjiPHTs26O9QqatGjRq52ZvfffddujWSgVCoTWpi4syZM277VXtVWQCVtVBbVhtfu3at7dM6xyh7WBuSqv+gAHGw67e3nRcvXtwmUigpA/ADYzYkKsZt/iF4DCDunWkFkFWnzekQe4NqoWTIpXa8vqfghwLHVapUicprR/aU0U6I7NixwwwfPtx2wlNr305bvvLKK20t8LJly/r4yoHotW0gFlauXGl69+7tBuAklGCa7leoUMG89957adZKVqbxmDFj7HMqVapkywwBfpkyZYrNIk5tFVJq7VbXYk0i16lTxyZO3H333bachff53nPoe0qamDx5sn0O4CfGbEhEjNv8Q/AYQNypQ6wB3aRJk9xagxlZVu10pFXnrWfPnqZTp042qwPwk0pJqH0qOz6jAbZ169bZZanKajtw4IANhKjdqlyL6iHrBsQawWMkghUrVtjarqp9nNqkc8o+hH6mzOSXXnrJZmSmpX///mbv3r32vkpodevWLSr/BmRfEydONOPHj0934iN37tw221jt0KEVdyrfotIrqT1X/RP9nI3yEC2M2ZBoGLf5h+AxgExD9V7XrFljlzhr2d727dvdJf5pyZs3r13aX7duXdOsWTO7BFCBPSAatLTfGdyprAqQVRA8RqJQySoF4VRLXhuQBVOqVCnTvXt3c+edd9IvQKaxadMmuzLu66+/tmXYvNS3aNiwoRkwYEDQDe9U1uKLL76wX50yFfXr1ze1a9eO0b8A2R1jNiQKxm3+IXgMINNf8JWZqbrIuimYrGCxluXpphqHGhwCAPyph6wNGpcuXcrbiUxP/QJNOmuDO206qkBcUlKSDaZp2X7VqlXj/RKBNLM41Xa16k4b3xUuXNjUqFEjzU0ggcyKMRuQtRE8BgAAAAAAAAAEYF03AAAAAAAAACAAwWMAAAAAAAAAQACCxwAAAAAAAACAAASPAQAAAAAAAAABCB4DAAAAAAAAAAIQPAYAAAAAAAAABCB4DAAAAAAAAAAIQPAYAAAAAAAAABCA4DEAAAAAAAAAIADBYwAAAAAAAABAAILHAAAAAAAAAIAABI8BAAAAAAAAAAEIHgMAAAAAAAAAAhA8BgAAAAAAAAAEIHgMAAAAAAAAAAhA8BgAAAAAAAAAEIDgMQAAAAAAAAAgAMFjAAAAAAAAAEAAgscAAAAAAAAAgAAEjwEAAAAAAAAAAQgeAwAAAAAAAAACEDwGAAAAAAAAAAQgeAwAAAAAAAAAMCn9H43N+v5/ahF+AAAAAElFTkSuQmCC",
-            "text/plain": [
-              "<Figure size 700x800 with 3 Axes>"
-            ]
-          },
-          "metadata": {}
+         "data": {
+          "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">                                                                                                                   \n <span style=\"font-weight: bold\"> Progress                  </span> <span style=\"font-weight: bold\"> Draws </span> <span style=\"font-weight: bold\"> Divergences </span> <span style=\"font-weight: bold\"> Step size </span> <span style=\"font-weight: bold\"> Grad evals </span> <span style=\"font-weight: bold\"> Sampling Speed </span> <span style=\"font-weight: bold\"> Elapsed </span> <span style=\"font-weight: bold\"> Remaining </span> \n ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n  <span style=\"color: #1f77b4; text-decoration-color: #1f77b4\">━━━━━━━━━━━━━━━━━━━━━━━━━</span>   2000    0             0.002       1023         24.93 draws/s    0:01:20   0:00:00    \n  <span style=\"color: #d62728; text-decoration-color: #d62728\">━━━━━━━━━━━━━━━━━━━━━━━━━</span>   2000    1             0.002       1023         24.96 draws/s    0:01:20   0:00:00    \n  <span style=\"color: #1f77b4; text-decoration-color: #1f77b4\">━━━━━━━━━━━━━━━━━━━━━━━━━</span>   2000    0             0.002       1023         24.94 draws/s    0:01:20   0:00:00    \n  <span style=\"color: #d62728; text-decoration-color: #d62728\">━━━━━━━━━━━━━━━━━━━━━━━━━</span>   2000    1             0.002       1023         24.88 draws/s    0:01:20   0:00:00    \n                                                                                                                   \n</pre>\n",
+          "text/plain": "                                                                                                                   \n \u001b[1m \u001b[0m\u001b[1mProgress                 \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraws\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDivergences\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep size\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad evals\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSampling Speed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaining\u001b[0m\u001b[1m \u001b[0m \n ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n  ━━━━━━━━━━━━━━━━━━━━━━━━━   2000    0             0.002       1023         24.93 draws/s    0:01:20   0:00:00    \n  ━━━━━━━━━━━━━━━━━━━━━━━━━   2000    1             0.002       1023         24.96 draws/s    0:01:20   0:00:00    \n  ━━━━━━━━━━━━━━━━━━━━━━━━━   2000    0             0.002       1023         24.94 draws/s    0:01:20   0:00:00    \n  ━━━━━━━━━━━━━━━━━━━━━━━━━   2000    1             0.002       1023         24.88 draws/s    0:01:20   0:00:00    \n                                                                                                                   \n"
+         },
+         "metadata": {},
+         "output_type": "display_data"
         }
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "We can also examine the effect of changing the Dirichlet prior on the posterior distribution of weights. TWe can see that the custom prior of $\\mathrm{Dirichlet}(0.1)$ results in more sparse weights over control countries. The posterior of many countries are more concentrated near zero (e.g. Austria, Canada, Germany, etc), while others have increased in importance (e.g. Denmark, and Australia).\n",
-        "\n",
-        "This is a rich area for discussion, but the key point is that users can define their own prior beliefs about the weights in the synthetic control model. There are some benefits from having 'sparsifying' priors in that they can help identify a smaller set of key control units that are most relevant to constructing the synthetic control."
-      ]
-    },
-    {
-      "cell_type": "code",
-      "metadata": {
-        "execution": {
-          "iopub.execute_input": "2026-02-28T22:19:25.848912Z",
-          "iopub.status.busy": "2026-02-28T22:19:25.848829Z",
-          "iopub.status.idle": "2026-02-28T22:19:26.053264Z",
-          "shell.execute_reply": "2026-02-28T22:19:26.052916Z"
-        },
-        "tags": [
-          "hide-input"
-        ]
-      },
-      "source": [
-        "az.plot_forest(\n",
-        "    [result.idata, result_custom.idata],\n",
-        "    model_names=[\"Default prior\", \"Custom prior\"],\n",
-        "    var_names=[\"beta\", \"y_hat_sigma\"],\n",
-        "    combined=True,\n",
-        "    figsize=(8, 10),\n",
-        ");"
-      ],
-      "execution_count": 22,
-      "outputs": [
+       ],
+       "tabbable": null,
+       "tooltip": null
+      }
+     },
+     "1ccf471455d64199b47ee71def2891e1": {
+      "model_module": "@jupyter-widgets/base",
+      "model_module_version": "2.0.0",
+      "model_name": "LayoutModel",
+      "state": {
+       "_model_module": "@jupyter-widgets/base",
+       "_model_module_version": "2.0.0",
+       "_model_name": "LayoutModel",
+       "_view_count": null,
+       "_view_module": "@jupyter-widgets/base",
+       "_view_module_version": "2.0.0",
+       "_view_name": "LayoutView",
+       "align_content": null,
+       "align_items": null,
+       "align_self": null,
+       "border_bottom": null,
+       "border_left": null,
+       "border_right": null,
+       "border_top": null,
+       "bottom": null,
+       "display": null,
+       "flex": null,
+       "flex_flow": null,
+       "grid_area": null,
+       "grid_auto_columns": null,
+       "grid_auto_flow": null,
+       "grid_auto_rows": null,
+       "grid_column": null,
+       "grid_gap": null,
+       "grid_row": null,
+       "grid_template_areas": null,
+       "grid_template_columns": null,
+       "grid_template_rows": null,
+       "height": null,
+       "justify_content": null,
+       "justify_items": null,
+       "left": null,
+       "margin": null,
+       "max_height": null,
+       "max_width": null,
+       "min_height": null,
+       "min_width": null,
+       "object_fit": null,
+       "object_position": null,
+       "order": null,
+       "overflow": null,
+       "padding": null,
+       "right": null,
+       "top": null,
+       "visibility": null,
+       "width": null
+      }
+     },
+     "ddd1b07558444962ae92f3996b4b57fa": {
+      "model_module": "@jupyter-widgets/output",
+      "model_module_version": "1.0.0",
+      "model_name": "OutputModel",
+      "state": {
+       "_dom_classes": [],
+       "_model_module": "@jupyter-widgets/output",
+       "_model_module_version": "1.0.0",
+       "_model_name": "OutputModel",
+       "_view_count": null,
+       "_view_module": "@jupyter-widgets/output",
+       "_view_module_version": "1.0.0",
+       "_view_name": "OutputView",
+       "layout": "IPY_MODEL_1ccf471455d64199b47ee71def2891e1",
+       "msg_id": "",
+       "outputs": [
         {
-          "output_type": "display_data",
-          "data": {
-            "image/png": "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",
-            "text/plain": [
-              "<Figure size 800x1000 with 1 Axes>"
-            ]
-          },
-          "metadata": {}
+         "data": {
+          "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">                                                                                                                   \n <span style=\"font-weight: bold\"> Progress                  </span> <span style=\"font-weight: bold\"> Draws </span> <span style=\"font-weight: bold\"> Divergences </span> <span style=\"font-weight: bold\"> Step size </span> <span style=\"font-weight: bold\"> Grad evals </span> <span style=\"font-weight: bold\"> Sampling Speed </span> <span style=\"font-weight: bold\"> Elapsed </span> <span style=\"font-weight: bold\"> Remaining </span> \n ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n  <span style=\"color: #d62728; text-decoration-color: #d62728\">━━━━━━━━━━━━━━━━━━━━━━━━━</span>   2000    9             0.001       1023         25.37 draws/s    0:01:18   0:00:00    \n  <span style=\"color: #1f77b4; text-decoration-color: #1f77b4\">━━━━━━━━━━━━━━━━━━━━━━━━━</span>   2000    0             0.001       1023         25.23 draws/s    0:01:19   0:00:00    \n  <span style=\"color: #d62728; text-decoration-color: #d62728\">━━━━━━━━━━━━━━━━━━━━━━━━━</span>   2000    8             0.001       1023         25.33 draws/s    0:01:18   0:00:00    \n  <span style=\"color: #d62728; text-decoration-color: #d62728\">━━━━━━━━━━━━━━━━━━━━━━━━━</span>   2000    6             0.000       1023         25.34 draws/s    0:01:18   0:00:00    \n                                                                                                                   \n</pre>\n",
+          "text/plain": "                                                                                                                   \n \u001b[1m \u001b[0m\u001b[1mProgress                 \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraws\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDivergences\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep size\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad evals\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSampling Speed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaining\u001b[0m\u001b[1m \u001b[0m \n ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n  ━━━━━━━━━━━━━━━━━━━━━━━━━   2000    9             0.001       1023         25.37 draws/s    0:01:18   0:00:00    \n  ━━━━━━━━━━━━━━━━━━━━━━━━━   2000    0             0.001       1023         25.23 draws/s    0:01:19   0:00:00    \n  ━━━━━━━━━━━━━━━━━━━━━━━━━   2000    8             0.001       1023         25.33 draws/s    0:01:18   0:00:00    \n  ━━━━━━━━━━━━━━━━━━━━━━━━━   2000    6             0.000       1023         25.34 draws/s    0:01:18   0:00:00    \n                                                                                                                   \n"
+         },
+         "metadata": {},
+         "output_type": "display_data"
         }
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "We can get nicely formatted tables from our integration with the [maketables](https://github.com/py-econometrics/maketables) package."
-      ]
-    },
-    {
-      "cell_type": "code",
-      "metadata": {},
-      "source": [
-        "from maketables import ETable\n",
-        "\n",
-        "ETable(result_custom, coef_fmt=\"b:.3f\")"
-      ],
-      "execution_count": null,
-      "outputs": []
-    }
-  ],
-  "metadata": {
-    "kernelspec": {
-      "display_name": "CausalPy",
-      "language": "python",
-      "name": "python3"
-    },
-    "language_info": {
-      "codemirror_mode": {
-        "name": "ipython",
-        "version": 3
-      },
-      "file_extension": ".py",
-      "mimetype": "text/x-python",
-      "name": "python",
-      "nbconvert_exporter": "python",
-      "pygments_lexer": "ipython3",
-      "version": "3.13.12"
-    },
-    "widgets": {
-      "application/vnd.jupyter.widget-state+json": {
-        "state": {
-          "17554bf45e89494a9003156e5b5ba4c1": {
-            "model_module": "@jupyter-widgets/output",
-            "model_module_version": "1.0.0",
-            "model_name": "OutputModel",
-            "state": {
-              "_dom_classes": [],
-              "_model_module": "@jupyter-widgets/output",
-              "_model_module_version": "1.0.0",
-              "_model_name": "OutputModel",
-              "_view_count": null,
-              "_view_module": "@jupyter-widgets/output",
-              "_view_module_version": "1.0.0",
-              "_view_name": "OutputView",
-              "layout": "IPY_MODEL_ff2ed2ee253b4f9ba54ef5541b1e72a3",
-              "msg_id": "",
-              "outputs": [
-                {
-                  "data": {
-                    "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">                                                                                                                   \n <span style=\"font-weight: bold\"> Progress                  </span> <span style=\"font-weight: bold\"> Draws </span> <span style=\"font-weight: bold\"> Divergences </span> <span style=\"font-weight: bold\"> Step size </span> <span style=\"font-weight: bold\"> Grad evals </span> <span style=\"font-weight: bold\"> Sampling Speed </span> <span style=\"font-weight: bold\"> Elapsed </span> <span style=\"font-weight: bold\"> Remaining </span> \n ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n  <span style=\"color: #1f77b4; text-decoration-color: #1f77b4\">━━━━━━━━━━━━━━━━━━━━━━━━━</span>   2000    0             0.002       1023         24.93 draws/s    0:01:20   0:00:00    \n  <span style=\"color: #d62728; text-decoration-color: #d62728\">━━━━━━━━━━━━━━━━━━━━━━━━━</span>   2000    1             0.002       1023         24.96 draws/s    0:01:20   0:00:00    \n  <span style=\"color: #1f77b4; text-decoration-color: #1f77b4\">━━━━━━━━━━━━━━━━━━━━━━━━━</span>   2000    0             0.002       1023         24.94 draws/s    0:01:20   0:00:00    \n  <span style=\"color: #d62728; text-decoration-color: #d62728\">━━━━━━━━━━━━━━━━━━━━━━━━━</span>   2000    1             0.002       1023         24.88 draws/s    0:01:20   0:00:00    \n                                                                                                                   \n</pre>\n",
-                    "text/plain": "                                                                                                                   \n \u001b[1m \u001b[0m\u001b[1mProgress                 \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraws\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDivergences\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep size\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad evals\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSampling Speed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaining\u001b[0m\u001b[1m \u001b[0m \n ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n  ━━━━━━━━━━━━━━━━━━━━━━━━━   2000    0             0.002       1023         24.93 draws/s    0:01:20   0:00:00    \n  ━━━━━━━━━━━━━━━━━━━━━━━━━   2000    1             0.002       1023         24.96 draws/s    0:01:20   0:00:00    \n  ━━━━━━━━━━━━━━━━━━━━━━━━━   2000    0             0.002       1023         24.94 draws/s    0:01:20   0:00:00    \n  ━━━━━━━━━━━━━━━━━━━━━━━━━   2000    1             0.002       1023         24.88 draws/s    0:01:20   0:00:00    \n                                                                                                                   \n"
-                  },
-                  "metadata": {},
-                  "output_type": "display_data"
-                }
-              ],
-              "tabbable": null,
-              "tooltip": null
-            }
-          },
-          "1ccf471455d64199b47ee71def2891e1": {
-            "model_module": "@jupyter-widgets/base",
-            "model_module_version": "2.0.0",
-            "model_name": "LayoutModel",
-            "state": {
-              "_model_module": "@jupyter-widgets/base",
-              "_model_module_version": "2.0.0",
-              "_model_name": "LayoutModel",
-              "_view_count": null,
-              "_view_module": "@jupyter-widgets/base",
-              "_view_module_version": "2.0.0",
-              "_view_name": "LayoutView",
-              "align_content": null,
-              "align_items": null,
-              "align_self": null,
-              "border_bottom": null,
-              "border_left": null,
-              "border_right": null,
-              "border_top": null,
-              "bottom": null,
-              "display": null,
-              "flex": null,
-              "flex_flow": null,
-              "grid_area": null,
-              "grid_auto_columns": null,
-              "grid_auto_flow": null,
-              "grid_auto_rows": null,
-              "grid_column": null,
-              "grid_gap": null,
-              "grid_row": null,
-              "grid_template_areas": null,
-              "grid_template_columns": null,
-              "grid_template_rows": null,
-              "height": null,
-              "justify_content": null,
-              "justify_items": null,
-              "left": null,
-              "margin": null,
-              "max_height": null,
-              "max_width": null,
-              "min_height": null,
-              "min_width": null,
-              "object_fit": null,
-              "object_position": null,
-              "order": null,
-              "overflow": null,
-              "padding": null,
-              "right": null,
-              "top": null,
-              "visibility": null,
-              "width": null
-            }
-          },
-          "ddd1b07558444962ae92f3996b4b57fa": {
-            "model_module": "@jupyter-widgets/output",
-            "model_module_version": "1.0.0",
-            "model_name": "OutputModel",
-            "state": {
-              "_dom_classes": [],
-              "_model_module": "@jupyter-widgets/output",
-              "_model_module_version": "1.0.0",
-              "_model_name": "OutputModel",
-              "_view_count": null,
-              "_view_module": "@jupyter-widgets/output",
-              "_view_module_version": "1.0.0",
-              "_view_name": "OutputView",
-              "layout": "IPY_MODEL_1ccf471455d64199b47ee71def2891e1",
-              "msg_id": "",
-              "outputs": [
-                {
-                  "data": {
-                    "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">                                                                                                                   \n <span style=\"font-weight: bold\"> Progress                  </span> <span style=\"font-weight: bold\"> Draws </span> <span style=\"font-weight: bold\"> Divergences </span> <span style=\"font-weight: bold\"> Step size </span> <span style=\"font-weight: bold\"> Grad evals </span> <span style=\"font-weight: bold\"> Sampling Speed </span> <span style=\"font-weight: bold\"> Elapsed </span> <span style=\"font-weight: bold\"> Remaining </span> \n ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n  <span style=\"color: #d62728; text-decoration-color: #d62728\">━━━━━━━━━━━━━━━━━━━━━━━━━</span>   2000    9             0.001       1023         25.37 draws/s    0:01:18   0:00:00    \n  <span style=\"color: #1f77b4; text-decoration-color: #1f77b4\">━━━━━━━━━━━━━━━━━━━━━━━━━</span>   2000    0             0.001       1023         25.23 draws/s    0:01:19   0:00:00    \n  <span style=\"color: #d62728; text-decoration-color: #d62728\">━━━━━━━━━━━━━━━━━━━━━━━━━</span>   2000    8             0.001       1023         25.33 draws/s    0:01:18   0:00:00    \n  <span style=\"color: #d62728; text-decoration-color: #d62728\">━━━━━━━━━━━━━━━━━━━━━━━━━</span>   2000    6             0.000       1023         25.34 draws/s    0:01:18   0:00:00    \n                                                                                                                   \n</pre>\n",
-                    "text/plain": "                                                                                                                   \n \u001b[1m \u001b[0m\u001b[1mProgress                 \u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDraws\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mDivergences\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mStep size\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mGrad evals\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mSampling Speed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mElapsed\u001b[0m\u001b[1m \u001b[0m \u001b[1m \u001b[0m\u001b[1mRemaining\u001b[0m\u001b[1m \u001b[0m \n ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n  ━━━━━━━━━━━━━━━━━━━━━━━━━   2000    9             0.001       1023         25.37 draws/s    0:01:18   0:00:00    \n  ━━━━━━━━━━━━━━━━━━━━━━━━━   2000    0             0.001       1023         25.23 draws/s    0:01:19   0:00:00    \n  ━━━━━━━━━━━━━━━━━━━━━━━━━   2000    8             0.001       1023         25.33 draws/s    0:01:18   0:00:00    \n  ━━━━━━━━━━━━━━━━━━━━━━━━━   2000    6             0.000       1023         25.34 draws/s    0:01:18   0:00:00    \n                                                                                                                   \n"
-                  },
-                  "metadata": {},
-                  "output_type": "display_data"
-                }
-              ],
-              "tabbable": null,
-              "tooltip": null
-            }
-          },
-          "ff2ed2ee253b4f9ba54ef5541b1e72a3": {
-            "model_module": "@jupyter-widgets/base",
-            "model_module_version": "2.0.0",
-            "model_name": "LayoutModel",
-            "state": {
-              "_model_module": "@jupyter-widgets/base",
-              "_model_module_version": "2.0.0",
-              "_model_name": "LayoutModel",
-              "_view_count": null,
-              "_view_module": "@jupyter-widgets/base",
-              "_view_module_version": "2.0.0",
-              "_view_name": "LayoutView",
-              "align_content": null,
-              "align_items": null,
-              "align_self": null,
-              "border_bottom": null,
-              "border_left": null,
-              "border_right": null,
-              "border_top": null,
-              "bottom": null,
-              "display": null,
-              "flex": null,
-              "flex_flow": null,
-              "grid_area": null,
-              "grid_auto_columns": null,
-              "grid_auto_flow": null,
-              "grid_auto_rows": null,
-              "grid_column": null,
-              "grid_gap": null,
-              "grid_row": null,
-              "grid_template_areas": null,
-              "grid_template_columns": null,
-              "grid_template_rows": null,
-              "height": null,
-              "justify_content": null,
-              "justify_items": null,
-              "left": null,
-              "margin": null,
-              "max_height": null,
-              "max_width": null,
-              "min_height": null,
-              "min_width": null,
-              "object_fit": null,
-              "object_position": null,
-              "order": null,
-              "overflow": null,
-              "padding": null,
-              "right": null,
-              "top": null,
-              "visibility": null,
-              "width": null
-            }
-          }
-        },
-        "version_major": 2,
-        "version_minor": 0
+       ],
+       "tabbable": null,
+       "tooltip": null
       }
-    }
-  },
-  "nbformat": 4,
-  "nbformat_minor": 2
+     },
+     "ff2ed2ee253b4f9ba54ef5541b1e72a3": {
+      "model_module": "@jupyter-widgets/base",
+      "model_module_version": "2.0.0",
+      "model_name": "LayoutModel",
+      "state": {
+       "_model_module": "@jupyter-widgets/base",
+       "_model_module_version": "2.0.0",
+       "_model_name": "LayoutModel",
+       "_view_count": null,
+       "_view_module": "@jupyter-widgets/base",
+       "_view_module_version": "2.0.0",
+       "_view_name": "LayoutView",
+       "align_content": null,
+       "align_items": null,
+       "align_self": null,
+       "border_bottom": null,
+       "border_left": null,
+       "border_right": null,
+       "border_top": null,
+       "bottom": null,
+       "display": null,
+       "flex": null,
+       "flex_flow": null,
+       "grid_area": null,
+       "grid_auto_columns": null,
+       "grid_auto_flow": null,
+       "grid_auto_rows": null,
+       "grid_column": null,
+       "grid_gap": null,
+       "grid_row": null,
+       "grid_template_areas": null,
+       "grid_template_columns": null,
+       "grid_template_rows": null,
+       "height": null,
+       "justify_content": null,
+       "justify_items": null,
+       "left": null,
+       "margin": null,
+       "max_height": null,
+       "max_width": null,
+       "min_height": null,
+       "min_width": null,
+       "object_fit": null,
+       "object_position": null,
+       "order": null,
+       "overflow": null,
+       "padding": null,
+       "right": null,
+       "top": null,
+       "visibility": null,
+       "width": null
+      }
+     }
+    },
+    "version_major": 2,
+    "version_minor": 0
+   }
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
 }

From f9efa02d606e49d76456e82edb1d370b1b958514 Mon Sep 17 00:00:00 2001
From: szego <antonio@getrecast.com>
Date: Sun, 28 Jun 2026 13:12:55 -0700
Subject: [PATCH 3/4] scale the prior per treated unit

---
 causalpy/experiments/synthetic_control.py |  24 +++-
 causalpy/tests/test_auto_scale_sigma.py   | 162 ++++++++++++++++++++++
 2 files changed, 180 insertions(+), 6 deletions(-)
 create mode 100644 causalpy/tests/test_auto_scale_sigma.py

diff --git a/causalpy/experiments/synthetic_control.py b/causalpy/experiments/synthetic_control.py
index b687da153..b32c9cf93 100644
--- a/causalpy/experiments/synthetic_control.py
+++ b/causalpy/experiments/synthetic_control.py
@@ -60,10 +60,10 @@ class SyntheticControl(BaseExperiment):
         If ``True`` (default) and the model is a ``WeightedSumFitter`` whose
         ``y_hat`` prior has not been explicitly overridden, the
         ``sigma ~ HalfNormal(1)`` default prior is replaced by
-        ``sigma ~ Exponential(2/s)`` where *s* is the standard deviation of the
-        pre-treatment treated-unit data. This keeps the prior well-calibrated
-        regardless of the outcome's scale. Set to ``False`` to use the original
-        ``HalfNormal(1)`` default.
+        ``sigma ~ Exponential(2/s)``. The scale is computed per treated unit,
+        with *s* the standard deviation of that unit's pre-treatment data, so
+        units on different scales are each calibrated separately. Set to
+        ``False`` to use the original ``HalfNormal(1)`` default.
     **kwargs
         Additional keyword arguments forwarded to :class:`BaseExperiment`.
 
@@ -302,10 +302,22 @@ def algorithm(self) -> None:
                 or "y_hat" not in self.model._user_priors
             )
         ):
-            y_std = float(self.pre_design["treated"].std(dim="obs_ind", ddof=1).mean())
+            # Per-unit pre-treatment standard deviation of the treated series, so
+            # each treated unit gets a sigma prior scaled to its own outcome.
+            y_std = self.pre_design["treated"].std(dim="obs_ind", ddof=1)
+            if not np.all(np.isfinite(y_std.values)) or np.any(y_std.values == 0):
+                raise ValueError(
+                    "Cannot auto-scale the sigma prior: the pre-treatment standard "
+                    "deviation of one or more treated units is zero or undefined "
+                    "(e.g. a constant pre-treatment series, or only a single "
+                    "pre-treatment observation). Pass auto_scale_sigma=False or "
+                    "supply an explicit y_hat prior on the model."
+                )
             self.model.priors["y_hat"] = Prior(
                 "Normal",
-                sigma=Prior("Exponential", lam=2 / y_std, dims=["treated_units"]),
+                sigma=Prior(
+                    "Exponential", lam=(2 / y_std).values, dims=["treated_units"]
+                ),
                 dims=["obs_ind", "treated_units"],
             )
 
diff --git a/causalpy/tests/test_auto_scale_sigma.py b/causalpy/tests/test_auto_scale_sigma.py
new file mode 100644
index 000000000..4fc9c3003
--- /dev/null
+++ b/causalpy/tests/test_auto_scale_sigma.py
@@ -0,0 +1,162 @@
+#   Copyright 2022 - 2026 The PyMC Labs Developers
+#
+#   Licensed under the Apache License, Version 2.0 (the "License");
+#   you may not use this file except in compliance with the License.
+#   You may obtain a copy of the License at
+#
+#       http://www.apache.org/licenses/LICENSE-2.0
+#
+#   Unless required by applicable law or agreed to in writing, software
+#   distributed under the License is distributed on an "AS IS" BASIS,
+#   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+#   See the License for the specific language governing permissions and
+#   limitations under the License.
+"""Tests for the ``auto_scale_sigma`` feature of :class:`SyntheticControl`.
+
+The feature replaces ``WeightedSumFitter``'s default ``sigma ~ HalfNormal(1)``
+prior with ``sigma ~ Exponential(2/s)``, where *s* is the pre-treatment standard
+deviation of the treated data, computed *per treated unit*.
+
+These assertions inspect the model's ``y_hat`` prior, which ``algorithm()`` sets
+before fitting, so they rely on ``mock_pymc_sample`` and never need real MCMC.
+"""
+
+import numpy as np
+import pandas as pd
+import pytest
+from pymc_extras.prior import Prior
+
+import causalpy as cp
+from causalpy.pymc_models import WeightedSumFitter
+
+sample_kwargs = {"tune": 20, "draws": 20, "chains": 2, "cores": 2, "progressbar": False}
+
+
+def _make_data(treated_scales, n=60, treatment_time=45, seed=42):
+    """Build a synthetic-control dataset with one treated column per entry in
+    ``treated_scales``.
+
+    A bespoke builder is used here (rather than ``cp.load_data("sc")``) because
+    these tests need treated units on deliberately different scales, and a
+    constant pre-treatment series — cases the canned ``sc`` dataset cannot
+    express. Each treated unit is the control mean scaled by its factor, so
+    units can be placed orders of magnitude apart on demand.
+    """
+    rng = np.random.default_rng(seed)
+    controls = {
+        c: rng.normal(10, 2, n).cumsum() / 10 + rng.normal(0, 1, n)
+        for c in ["a", "b", "c"]
+    }
+    df = pd.DataFrame(controls)
+    base = df[["a", "b", "c"]].mean(axis=1)
+    treated_units = []
+    for i, scale in enumerate(treated_scales):
+        name = f"treated_{i}"
+        df[name] = scale * base + rng.normal(0, scale, n)
+        treated_units.append(name)
+    return df, treatment_time, treated_units
+
+
+def _sigma_prior(result):
+    """Return the inner ``sigma`` Prior of the model's ``y_hat`` prior."""
+    return result.model.priors["y_hat"].parameters["sigma"]
+
+
+def _fitter():
+    return WeightedSumFitter(sample_kwargs={**sample_kwargs, "random_seed": 1})
+
+
+def _expected_lam(df, treatment_time, treated_units):
+    """Independently compute 2/s per unit with pandas over the pre-treatment
+    rows (``index < treatment_time``), to cross-check the xarray-based impl."""
+    pre = df[df.index < treatment_time][treated_units]
+    return (2 / pre.std(ddof=1)).values
+
+
+@pytest.mark.integration
+@pytest.mark.filterwarnings("ignore::UserWarning")
+def test_auto_scale_sets_exponential_prior_matching_2_over_s(mock_pymc_sample):
+    """After fit, the y_hat sigma prior is Exponential with lam = 2/s."""
+    df, tt, treated = _make_data([1.0])
+    result = cp.SyntheticControl(
+        df, tt, control_units=["a", "b", "c"], treated_units=treated, model=_fitter()
+    )
+    sigma = _sigma_prior(result)
+    assert sigma.distribution == "Exponential"
+    np.testing.assert_allclose(
+        np.asarray(sigma.parameters["lam"]), _expected_lam(df, tt, treated)
+    )
+
+
+@pytest.mark.integration
+@pytest.mark.filterwarnings("ignore::UserWarning")
+def test_auto_scale_false_preserves_halfnormal_default(mock_pymc_sample):
+    """auto_scale_sigma=False leaves the HalfNormal(1) default untouched."""
+    df, tt, treated = _make_data([1.0])
+    result = cp.SyntheticControl(
+        df,
+        tt,
+        control_units=["a", "b", "c"],
+        treated_units=treated,
+        model=_fitter(),
+        auto_scale_sigma=False,
+    )
+    sigma = _sigma_prior(result)
+    assert sigma.distribution == "HalfNormal"
+    assert sigma.parameters["sigma"] == 1
+
+
+@pytest.mark.integration
+@pytest.mark.filterwarnings("ignore::UserWarning")
+def test_user_supplied_y_hat_prior_is_respected(mock_pymc_sample):
+    """An explicit y_hat prior disables auto-scaling (guard not triggered)."""
+    df, tt, treated = _make_data([1.0])
+    custom = Prior(
+        "Normal",
+        sigma=Prior("HalfNormal", sigma=42, dims=["treated_units"]),
+        dims=["obs_ind", "treated_units"],
+    )
+    model = WeightedSumFitter(
+        sample_kwargs={**sample_kwargs, "random_seed": 1}, priors={"y_hat": custom}
+    )
+    result = cp.SyntheticControl(
+        df, tt, control_units=["a", "b", "c"], treated_units=treated, model=model
+    )
+    sigma = _sigma_prior(result)
+    # Untouched: still the user's HalfNormal(42), not the auto Exponential.
+    assert sigma.distribution == "HalfNormal"
+    assert sigma.parameters["sigma"] == 42
+
+
+@pytest.mark.integration
+@pytest.mark.filterwarnings("ignore::UserWarning")
+def test_multiple_treated_units_get_per_unit_lam(mock_pymc_sample):
+    """With multiple treated units on different scales, lam is a per-unit vector
+    of 2/s_i — not a single broadcast scalar."""
+    df, tt, treated = _make_data([1.0, 100.0])  # two units, ~100x apart in scale
+    result = cp.SyntheticControl(
+        df, tt, control_units=["a", "b", "c"], treated_units=treated, model=_fitter()
+    )
+    lam = np.asarray(_sigma_prior(result).parameters["lam"])
+    assert lam.shape == (2,)
+    np.testing.assert_allclose(lam, _expected_lam(df, tt, treated))
+    # The two rates must genuinely differ; a shared scalar would fail this.
+    assert not np.isclose(lam[0], lam[1])
+
+
+@pytest.mark.integration
+@pytest.mark.filterwarnings("ignore::UserWarning")
+@pytest.mark.filterwarnings("ignore::RuntimeWarning")
+def test_constant_pre_treatment_series_raises(mock_pymc_sample):
+    """A zero/undefined per-unit std raises a clear error rather than producing
+    an infinite Exponential rate."""
+    df, tt, treated = _make_data([1.0, 1.0])
+    df["treated_0"] = 5.0  # constant pre-treatment -> std == 0 for this unit
+    with pytest.raises(ValueError, match="auto-scale the sigma prior"):
+        cp.SyntheticControl(
+            df,
+            tt,
+            control_units=["a", "b", "c"],
+            treated_units=treated,
+            model=_fitter(),
+        )

From 5e8858ebda3599e1093f0a7566bf7216834bb1d7 Mon Sep 17 00:00:00 2001
From: szego <antonio@getrecast.com>
Date: Sun, 28 Jun 2026 13:18:34 -0700
Subject: [PATCH 4/4] add support for SoftmaxWeightedSumFitter

---
 causalpy/experiments/synthetic_control.py | 23 ++++++-----
 causalpy/tests/test_auto_scale_sigma.py   | 47 +++++++++++++++--------
 2 files changed, 46 insertions(+), 24 deletions(-)

diff --git a/causalpy/experiments/synthetic_control.py b/causalpy/experiments/synthetic_control.py
index b32c9cf93..8ca21dfea 100644
--- a/causalpy/experiments/synthetic_control.py
+++ b/causalpy/experiments/synthetic_control.py
@@ -29,7 +29,11 @@
 from causalpy.date_utils import _combine_datetime_indices, format_date_axes
 from causalpy.experiments.model_adapter import build_coords
 from causalpy.plot_utils import get_hdi_to_df, plot_xY
-from causalpy.pymc_models import PyMCModel, WeightedSumFitter
+from causalpy.pymc_models import (
+    PyMCModel,
+    SoftmaxWeightedSumFitter,
+    WeightedSumFitter,
+)
 from causalpy.reporting import EffectSummary
 from causalpy.utils import _as_scalar, check_convex_hull_violation, round_num
 
@@ -57,13 +61,14 @@ class SyntheticControl(BaseExperiment):
         threshold trigger a ``UserWarning``. Defaults to ``0.0`` (warn on
         negatively correlated donors).
     auto_scale_sigma : bool, default True
-        If ``True`` (default) and the model is a ``WeightedSumFitter`` whose
-        ``y_hat`` prior has not been explicitly overridden, the
-        ``sigma ~ HalfNormal(1)`` default prior is replaced by
-        ``sigma ~ Exponential(2/s)``. The scale is computed per treated unit,
-        with *s* the standard deviation of that unit's pre-treatment data, so
-        units on different scales are each calibrated separately. Set to
-        ``False`` to use the original ``HalfNormal(1)`` default.
+        If ``True`` (default) and the model is a ``WeightedSumFitter`` or
+        ``SoftmaxWeightedSumFitter`` whose ``y_hat`` prior has not been
+        explicitly overridden, the ``sigma ~ HalfNormal(1)`` default prior is
+        replaced by ``sigma ~ Exponential(2/s)``. The scale is computed per
+        treated unit, with *s* the standard deviation of that unit's
+        pre-treatment data, so units on different scales are each calibrated
+        separately. Set to ``False`` to use the original ``HalfNormal(1)``
+        default.
     **kwargs
         Additional keyword arguments forwarded to :class:`BaseExperiment`.
 
@@ -296,7 +301,7 @@ def algorithm(self) -> None:
         # Auto-scale the sigma prior if the user didn't customize it
         if (
             self.auto_scale_sigma
-            and isinstance(self.model, WeightedSumFitter)
+            and isinstance(self.model, (WeightedSumFitter, SoftmaxWeightedSumFitter))
             and (
                 self.model._user_priors is None
                 or "y_hat" not in self.model._user_priors
diff --git a/causalpy/tests/test_auto_scale_sigma.py b/causalpy/tests/test_auto_scale_sigma.py
index 4fc9c3003..303be0911 100644
--- a/causalpy/tests/test_auto_scale_sigma.py
+++ b/causalpy/tests/test_auto_scale_sigma.py
@@ -27,10 +27,14 @@
 from pymc_extras.prior import Prior
 
 import causalpy as cp
-from causalpy.pymc_models import WeightedSumFitter
+from causalpy.pymc_models import SoftmaxWeightedSumFitter, WeightedSumFitter
 
 sample_kwargs = {"tune": 20, "draws": 20, "chains": 2, "cores": 2, "progressbar": False}
 
+# Both weighted-sum fitters share the same per-treated-unit ``y_hat`` sigma prior,
+# so auto-scaling must behave identically for each.
+FITTERS = [WeightedSumFitter, SoftmaxWeightedSumFitter]
+
 
 def _make_data(treated_scales, n=60, treatment_time=45, seed=42):
     """Build a synthetic-control dataset with one treated column per entry in
@@ -62,8 +66,8 @@ def _sigma_prior(result):
     return result.model.priors["y_hat"].parameters["sigma"]
 
 
-def _fitter():
-    return WeightedSumFitter(sample_kwargs={**sample_kwargs, "random_seed": 1})
+def _fitter(cls=WeightedSumFitter, **kwargs):
+    return cls(sample_kwargs={**sample_kwargs, "random_seed": 1}, **kwargs)
 
 
 def _expected_lam(df, treatment_time, treated_units):
@@ -75,11 +79,18 @@ def _expected_lam(df, treatment_time, treated_units):
 
 @pytest.mark.integration
 @pytest.mark.filterwarnings("ignore::UserWarning")
-def test_auto_scale_sets_exponential_prior_matching_2_over_s(mock_pymc_sample):
+@pytest.mark.parametrize("fitter_cls", FITTERS)
+def test_auto_scale_sets_exponential_prior_matching_2_over_s(
+    mock_pymc_sample, fitter_cls
+):
     """After fit, the y_hat sigma prior is Exponential with lam = 2/s."""
     df, tt, treated = _make_data([1.0])
     result = cp.SyntheticControl(
-        df, tt, control_units=["a", "b", "c"], treated_units=treated, model=_fitter()
+        df,
+        tt,
+        control_units=["a", "b", "c"],
+        treated_units=treated,
+        model=_fitter(fitter_cls),
     )
     sigma = _sigma_prior(result)
     assert sigma.distribution == "Exponential"
@@ -90,7 +101,8 @@ def test_auto_scale_sets_exponential_prior_matching_2_over_s(mock_pymc_sample):
 
 @pytest.mark.integration
 @pytest.mark.filterwarnings("ignore::UserWarning")
-def test_auto_scale_false_preserves_halfnormal_default(mock_pymc_sample):
+@pytest.mark.parametrize("fitter_cls", FITTERS)
+def test_auto_scale_false_preserves_halfnormal_default(mock_pymc_sample, fitter_cls):
     """auto_scale_sigma=False leaves the HalfNormal(1) default untouched."""
     df, tt, treated = _make_data([1.0])
     result = cp.SyntheticControl(
@@ -98,7 +110,7 @@ def test_auto_scale_false_preserves_halfnormal_default(mock_pymc_sample):
         tt,
         control_units=["a", "b", "c"],
         treated_units=treated,
-        model=_fitter(),
+        model=_fitter(fitter_cls),
         auto_scale_sigma=False,
     )
     sigma = _sigma_prior(result)
@@ -108,7 +120,8 @@ def test_auto_scale_false_preserves_halfnormal_default(mock_pymc_sample):
 
 @pytest.mark.integration
 @pytest.mark.filterwarnings("ignore::UserWarning")
-def test_user_supplied_y_hat_prior_is_respected(mock_pymc_sample):
+@pytest.mark.parametrize("fitter_cls", FITTERS)
+def test_user_supplied_y_hat_prior_is_respected(mock_pymc_sample, fitter_cls):
     """An explicit y_hat prior disables auto-scaling (guard not triggered)."""
     df, tt, treated = _make_data([1.0])
     custom = Prior(
@@ -116,9 +129,7 @@ def test_user_supplied_y_hat_prior_is_respected(mock_pymc_sample):
         sigma=Prior("HalfNormal", sigma=42, dims=["treated_units"]),
         dims=["obs_ind", "treated_units"],
     )
-    model = WeightedSumFitter(
-        sample_kwargs={**sample_kwargs, "random_seed": 1}, priors={"y_hat": custom}
-    )
+    model = _fitter(fitter_cls, priors={"y_hat": custom})
     result = cp.SyntheticControl(
         df, tt, control_units=["a", "b", "c"], treated_units=treated, model=model
     )
@@ -130,12 +141,17 @@ def test_user_supplied_y_hat_prior_is_respected(mock_pymc_sample):
 
 @pytest.mark.integration
 @pytest.mark.filterwarnings("ignore::UserWarning")
-def test_multiple_treated_units_get_per_unit_lam(mock_pymc_sample):
+@pytest.mark.parametrize("fitter_cls", FITTERS)
+def test_multiple_treated_units_get_per_unit_lam(mock_pymc_sample, fitter_cls):
     """With multiple treated units on different scales, lam is a per-unit vector
     of 2/s_i — not a single broadcast scalar."""
     df, tt, treated = _make_data([1.0, 100.0])  # two units, ~100x apart in scale
     result = cp.SyntheticControl(
-        df, tt, control_units=["a", "b", "c"], treated_units=treated, model=_fitter()
+        df,
+        tt,
+        control_units=["a", "b", "c"],
+        treated_units=treated,
+        model=_fitter(fitter_cls),
     )
     lam = np.asarray(_sigma_prior(result).parameters["lam"])
     assert lam.shape == (2,)
@@ -147,7 +163,8 @@ def test_multiple_treated_units_get_per_unit_lam(mock_pymc_sample):
 @pytest.mark.integration
 @pytest.mark.filterwarnings("ignore::UserWarning")
 @pytest.mark.filterwarnings("ignore::RuntimeWarning")
-def test_constant_pre_treatment_series_raises(mock_pymc_sample):
+@pytest.mark.parametrize("fitter_cls", FITTERS)
+def test_constant_pre_treatment_series_raises(mock_pymc_sample, fitter_cls):
     """A zero/undefined per-unit std raises a clear error rather than producing
     an infinite Exponential rate."""
     df, tt, treated = _make_data([1.0, 1.0])
@@ -158,5 +175,5 @@ def test_constant_pre_treatment_series_raises(mock_pymc_sample):
             tt,
             control_units=["a", "b", "c"],
             treated_units=treated,
-            model=_fitter(),
+            model=_fitter(fitter_cls),
         )